Cover of Evidence review for diagnosing and identifying clinically significant prostate cancer

Evidence review for diagnosing and identifying clinically significant prostate cancer

Prostate cancer: diagnosis and management

Evidence review D

NICE Guideline, No. 131

London: National Institute for Health and Care Excellence (NICE); .
ISBN-13: 978-1-4731-3375-4
Copyright © NICE 2019.

RQ1. Diagnosing clinically significant prostate cancer

Review question

  • Which of the following, alone or in combination, constitutes the most clinically- and cost- effective pathway for diagnosing prostate cancer: Multiparametric MRI; Transrectal ultrasonography (TRUS) biopsy; Transperineal template biopsy?

Introduction

This review question aims to capture one of the key themes which prompted early upgrade of the 2014 NICE Guidance CG175: how is the clinical suspicion of prostate cancer best investigated?

Template biopsy must be the most comprehensive test for identifying prostate cancer, but universal application of this diagnostic approach would have significant cost and morbidity implications, as well as placing an impossible strain on health care services. Template biopsy was therefore used as the standard against which the diagnostic accuracy of mpMRI and/or TRUS biopsy were gauged.

Evidence from diagnostic test accuracy studies and from randomised controlled trials was used, as set out in PICO tables 1 and 2. For full protocols please see Appendix A.

Table 1. PICO table –Diagnostic test accuracy studies.

Table 1

PICO table –Diagnostic test accuracy studies.

Table 2. PICO table –Randomised control studies.

Table 2

PICO table –Randomised control studies.

Methods and process

This evidence review was developed using the methods and process described in Developing NICE guidelines: the manual. Methods specific to this review question are described in the review protocol in appendix A, and the methods section in appendix B.

Declarations of interest were recorded according to NICE’s 2014 and 2018 conflicts of interest policy

This review was conducted as part of a larger update of the NICE Prostate Cancer guideline (CG175).

Clinical evidence

Included studies – diagnostic cross sectional studies

A systematic literature search for diagnostic cross-sectional studies and systematic reviews of diagnostic cross-sectional studies with a date limit of no earlier than 2007 yielded 5,716 references. These were screened on title and abstract, with 185 full-text papers ordered as potentially relevant diagnostic cross sectional studies primary studies and systematic reviews. Diagnostic cross-sectional studies were excluded if they did not meet the criteria of enrolling patients, they did not include the index tests and the reference standard as specified in the protocol. Studies were further excluded at data extraction if it was impossible to calculate sensitivity and specificity or if the study did not meet any of the other criteria stated in the protocol.

A second set of searches was conducted at the end of the guideline development process for all updated review questions using the original search strategies to capture papers published whilst the guideline was being developed. These searches, which included articles up to August 2018, returned 917 references for this review question. These were screened on title and abstract and no additional relevant references were found

Two papers were included after full text screening. Five systematic reviews were identified, however; all were excluded because the included primary studies were already part of this review (see evidence tables for details – appendix E).

Included studies – Randomised control studies

A systematic literature search for randomised controlled trials (RCTs) and systematic reviews of RCTs with a date limit of no earlier than 2007 yielded 2,488 references. These were screened on title and abstract, with 52 full-text papers ordered as potentially relevant RCTs or systematic reviews of RCTs. Studies were excluded if they did not meet the criteria of enrolling patients with suspected cancer who were biopsy naïve, they did not include the intervention and control as specified in the protocol. Studies were later excluded at data extraction if they failed to meet any of the other criteria specified in the protocol.

A second set of searches was conducted at the end of the guideline development process for all updated review questions using the original search strategies to capture papers published whilst the guideline was being developed. These searches, which included articles up to August 2018, returned 195 references for this review question. These were screened on title and abstract and no additional relevant references were found.

Two papers were included after full text screening. Three systematic reviews were identified, however; all were excluded because their included RCTs did not meet the protocol. (See evidence tables for details – appendix E).

Summary of included studies

Overall there were 4 included studies – 2 providing evidence as diagnostic cross sectional studies and 2 providing evidence as randomised control trials.

For the full evidence tables and full GRADE profiles for included studies, please see appendix E and appendix G.

Excluded studies

Details of the studies excluded at full-text review are given in appendix H along with a reason for their exclusion.

Summary of clinical studies included in the evidence review

Table 3. Summary of studies for diagnosing prostate cancer in people suspected to have prostate cancer (cross-sectional studies).

Table 3

Summary of studies for diagnosing prostate cancer in people suspected to have prostate cancer (cross-sectional studies).

Table 4. Summary of studies for diagnosing prostate cancer in people suspected to have prostate cancer (randomised control studies).

Table 4

Summary of studies for diagnosing prostate cancer in people suspected to have prostate cancer (randomised control studies).

See appendix E for full evidence tables.

Quality assessment of clinical studies included in the evidence review

See appendix G for full GRADE tables.

Economic evidence

Standard health economics filters were applied to the clinical search strategy for this review question. In total, 802 references were returned, of which 790 could be confidently excluded on screening of titles and abstracts. The remaining 12 studies were reviewed in full text, and 11 were found not to be relevant. This left 1 unique cost–utility analysis.

Included studies

One cost–utility analysis was included.

Excluded studies

Details of studies excluded after consideration at the full-text stage are provided in appendix H.

Summary of studies included in the economic evidence review

Faria et al. (2018) developed a cost-effectiveness model for lifetime health outcomes and costs, using data captured in PROMIS, a paired-cohort diagnostic study (Ahmed et al., 2017), adopting the perspective of the UK NHS and using 2015 prices. Patients at study entry were people at risk of prostate cancer referred to secondary care for further investigation.

The study assessed the performance of 3 tests: multi-parametric magnetic resonance imaging (MP-MRI), trans-rectal ultra-sound biopsy (TRUS) and transperineal mapping biopsy (TPMB). In the economic analysis, the combination of TRUS and TPMB, whichever was most severe, was the reference standard. The model examined 383 diagnostic strategies, based on possible sequences of the 3 tests, 2 pathological definitions of clinically significant prostate cancer (CS PC) and different thresholds of Likert score at which prostate cancer is considered clinically significant using MP-MRI.

A decision tree model was structured to model the diagnostic stage. The long-term stage used a Markov structure to model the lifetime costs and health benefits of people diagnosed with clinically significant (CS), non-clinically significant (NCS) or no cancer (NC), by whether they were correctly classified or not. The Markov model consisted of 2 health states for no cancer: alive or dead, and 3 health states for men with cancer: localised, metastatic and dead.

Diagnostic accuracy data were obtained from PROMIS, if possible, and also identified from other published literature, as diagnostic accuracy data varied according to the diagnostic test position in the sequence and whether it was combined with other test(s). Risk of mortality and progression included in the long-term model were derived from a clinical trial in the US: Prostate Cancer Intervention Versus Observation Trial (PIVOT). Patients misclassified as no cancer were assigned probability of progression or death observed in the watchful waiting arm, whereas data for those correctly diagnosed with cancer were taken from the radical treatment arm. Cases with underlying prostate cancer, misclassified as having no cancer, were not considered for re-testing; thus, they would stay on active surveillance. The cost effectiveness of a strategy was defined based on number of CS cancer detected for a given pound spent in the diagnostic stage, while the long-term cost effectiveness was defined based on the maximum health outcome achieved given the cost.

Health-related utilities were derived from EQ-5D questionnaires collected in PROMIS, where TPM directly affected the health-related quality of life, while TRUS and MP-MRI were assumed to have no effect. Disutility, assigned due to aging and progression for health states in the long-run, were identified in published literature.

When the total expected lifetime cost and effectiveness results of the all 383 strategies were compared with each other, the authors found that only 14 strategies were expected to be cost effective at different values of cost-effectiveness thresholds. The strategy that was found to be optimal (when QALYs are valued at less than £30,000 each) was called “M7 222”:

  • all people receive MP-MRI
  • people with lesion volume <0.2 cc on MP-MRI and/or assessed by the radiologist as highly likely benign (score 1 on a 5-point Likert scale reflecting probability of malignancy) are judged not to have clinically significant prostate cancer
  • people with lesion volume ≥0.2 cc and/or Gleason score ≥3+4, assessed by the radiologist as ≥2 on the Likert scale undergo MRI-targeted TRUS biopsy
    • people with any Gleason ≥3+4 and/or cancer core length ≥4 mm are diagnosed with clinically significant prostate cancer
    • people not meeting these criteria receive a 2nd MRI-targeted TRUS biopsy
      -

      people with any Gleason ≥3+4 and/or cancer core length ≥4 mm are diagnosed with clinically significant prostate cancer

      -

      people not meeting these criteria are judged not to have clinically significant prostate cancer

  • template biopsies are not used in this strategy

This strategy (which was the 2nd most effective of those simulated) had an ICER of £7,076/QALY compared with the next best strategy. The most effective strategy (P4 2-) was for all people to receive TRUS biopsy, after which anyone with negative findings undergoes template biopsy. However, this strategy was associated with an ICER of £30,084/QALY compared with M7 222.

The results are sensitive to the sensitivity of the 1st and 2nd MRI-targeted TRUS and the costs of the test. For example, a reduction in the sensitivity assigned to MRI-targeted TRUS resulted in the cost-effectiveness results favouring strategies beginning with TRUS.

Economic model

This question was not prioritised for economic modelling.

Evidence statements

The evidence statements in these sections are written with reference to the size of the likelihood ratios in the GRADE tables in appendix G, using the interpretation detailed in the methods section on diagnostic test accuracy (Table 6).

Clinical evidence statements from cross sectional studies

Evidence on TRUS biopsy shows that

  • A positive TRUS biopsy leads to a very large increase in the probability that a person suspected of prostate cancer has clinically significant disease (high quality evidence form 2 prospective studies comprising 626 participants; 95% confidence intervals range from large to very large increase).
  • A negative TRUS biopsy does not meaningfully alter the probability that a person suspected of prostate cancer has clinically significant disease (Moderate-quality evidence from 2 prospective studies comprising 626 participants; 95% confidence intervals range from slight to moderate decrease).

Evidence on multiparametric MRI shows that

  • Results that indicate a person suspected of prostate cancer has an increased probability of clinically significant disease (based on positive likelihood ratios):
    • A score of ≥2 does not alter the probability that a person suspected of prostate cancer has clinically significant disease (high-quality evidence from 1 prospective study comprising 576 participants; 95% confidence intervals range from slight decrease to slight increase).
    • A score of ≥3 does not alter the probability that a person suspected of prostate cancer has clinically significant disease (high-quality evidence from 1 prospective study comprising 576 participants; 95% confidence intervals range within slight increase).
    • A score of ≥4 leads to a moderate increase in the probability that a person suspected of prostate cancer has clinically significant disease (high-quality evidence from 1 prospective study comprising 576 participants; 95% confidence intervals range from slight increase to large increase).
    • A score of ≥5 leads to a large increase in the probability that a person suspected of prostate cancer has clinically significant disease (low-quality evidence from 1 prospective study comprising 576 participants; 95% confidence intervals range from slight increase to very large increase).
  • Results that indicate a person suspected of prostate cancer has a decreased probability of clinically significant disease (based on negative likelihood ratios):
    • A score of <2 leads to a moderate decrease in the probability that a person suspected of prostate cancer has clinically significant disease high-quality evidence from 1 prospective study comprising 576 participants; 95% confidence intervals range from slight to large decrease).
    • A score of <3 leads to a large decrease in the probability that a person suspected of prostate cancer has clinically significant disease (high-quality evidence from 1 prospective study comprising 576 participants; 95% confidence intervals range from moderate to large decrease).
    • A score of <4 leads to a moderate decrease in the probability that a person suspected of prostate cancer has clinically significant disease (high-quality evidence from 1 prospective study comprising 576 participants; 95% confidence intervals range within moderate decrease).
    • A score of <5 does not alter the probability that a person suspected of prostate cancer has clinically significant disease (high-quality evidence from 1 prospective study comprising 576 participants; 95% confidence intervals range within slight decrease).

Clinical evidence statements from randomised control studies
MRI influenced TRUS biopsy versus systematic TRUS biopsy

Very low-quality evidence from 2 RCTs including 712 people who are biopsy naïve and suspected of having prostate cancer shows that MRI-influenced-prostate biopsy finds more people with clinically significant cancer than systematic prostate biopsy.

High-quality evidence from 2 RCTs including 712 people who are biopsy naïve and suspected of having prostate cancer shows that MRI-influenced prostate biopsy finds less people with clinically insignificant cancer than systematic prostate biopsy.

High-quality evidence from 2 RCT including 456 people who are biopsy naïve and suspected of having prostate cancer shows that using a strategy which includes MRI as first line treatment may lead to a quarter of people avoiding repeat biopsy.

Low-quality evidence from 1 RCT including 500 people who are biopsy naïve and suspected of having prostate cancer could not differentiate investigator-reported adverse events (sepsis, haematuria and prostatitis) between people who had MRI-influenced-prostate biopsy and those who had systematic prostate biopsy.

High-quality evidence from 1 RCT including 500 people who are biopsy naïve and suspected of having prostate cancer shows there is no difference in health-related quality of life between people having MRI-influenced-prostate biopsy and those having systematic prostate biopsy at 24 hours and at 30 days post biopsy.

Moderate- to high-quality evidence from 1 RCT reporting data on 418 people who are biopsy naïve and suspected of having prostate cancer found fewer people who had MRI-influenced-biopsy reported blood in the urine, blood in semen and pain at site of procedure than those who had systematic TRUS-guided biopsy. However, the evidence could not differentiate the number of people experiencing other adverse events such as erectile dysfunction, urinary tract infection, prostatitis and urinary incontinence between the 2 groups.

Economic evidence statement

One directly applicable cost–utility analysis with minor limitations found that the optimal diagnostic strategy is for all people to receive MP-MRI followed by up to 2 MRI-targeted TRUS biopsies for those with positive findings. This strategy was associated with an ICER of £7,076/QALY compared with the next-best option.

The committee’s discussion of the evidence

Interpreting the evidence
The outcomes that matter most

The committee was interested in negative and positive predictive values as this is what they were familiar with. The development team explained the limitations associated with reporting evidence in terms of negative and positive predictive values as they depend on the prevalence of disease within the study population. As a result, likelihood ratios were deemed to be the superior option and thus the outcome of most importance when considering diagnostic test studies

When considering evidence from randomised control studies, the committee was interested in the proportion of people with clinically significant cancer following MRI influenced biopsy. This was because there was no evidence for MRI incluenced biopsy from the diagnostic test accuracy studies.

The quality of the evidence

The 2 included studies for diagnostic test accuracy were of moderate quality (Nafie et al. 2014) owing to unclear patient selection or low risk of bias (Ahmed et al. 2017). The committee acknowledged that this was an area with new emerging evidence, therefore they were not surprised by the limited amount of studies. Both of the studies were prospective cross-sectional studies from the UK.

The PROMIS study (Ahmed et al. 2017), is a well conducted large UK diagnostic accuracy study with a large population of 576 participants. This study contributed evidence for both TRUS biopsy and multiparametric-MRI. The study by Nafie et al. (2014) was also well conducted but with a smaller sample size investigating the diagnostic accuracy of TRUS biopsy. As a result only 1 study contributed to the evidence on multiparametric-MRI (Ahmed et al. (2017) and 2 studies on TRUS biopsy (Ahmed et al. (2017) and Nafie et al. (2014)).

There were no diagnostic test accuracy studies included addressing MRI influenced prostate biopsy. As a result the committee was also presented with evidence from diagnostic randomised control trial studies.

Initially 5 studies were included, however the committee agreed that 3 of the studies Baco et al. (2016), Park et al.(2011) and Tontilla et al. (2016), were out of date as their study periods were almost 10 years ago. The committee noted that MRI technology has changed significantly since then and they were only interested in the most recent studies that reflect current practice. Though the Baco et al. and Tontilla et al. studies were published in 2016, the studies were started in 2011, the committee explained that, the technology during that period has changed considerably. This resulted in the review of 2 papers Kasivisnathan et al. (2018) (also referred to as the PRECISION study) and Porpiglia et al. (2017).

These 2 studies were graded as having low risk of bias. The PRECISION study (Kasivisvanathan et al. (2018) is a UK study and Porpiglia et al. (2017) is an Italian study. Both studies provided evidence for MRI influenced prostate biopsy. The committee opted for the term “prostate biopsy” because some of the participants from the Kasivisnathan et al. (2018) study had biopsy taken via the transperineal route and not the transrectal route, the committee noted that “prostate biopsy” encompasses both terms. There currently is limited evidence on the efficacy of transperineal (not mapping biopsy), for the purposes of this review performance of transperineal route was assumed to be similar to that of transrectal route biopsy.

Benefits and harms
Clinical effectiveness

Based on the evidence, the committee recommended multiparametric MRI as the first-line investigation for people with suspected clinically localised prostate cancer. Evidence from the PRECISION study (Kasivisvanathan et al. (2018) and Porpiglia et al. (2017) showed that more people with clinically significant cancers were likely to be identified if they had MRI influenced biopsy than if they received prostate biopsy alone.

The PRECISION study (Kasivisvanathan et al. (2018) carried out MRI-influenced prostate biopsy in those people whose multiparametric-MRI Likert score was 3 or above; however, PROMIS (Ahmed et al., 2017) and the Porpiglia et al. (2017) trial provided evidence that there is a risk that clinically significant cancers may be missed if a cutoff of Likert 3 is used to classify MRI findings. As a result, the committee made ‘consider’ recommendations to omit prostate biopsy in people with a multiparametric-MRI Likert score of 1 or 2. The committee stressed that, for those with a MRI Likert score of 1 or 2, there should be a discussion of risks and benefits before reaching a shared decision. As a result, a preference decision point was developed to help clinicians explain advantages and disadvantages of undergoing TRUS biopsy in people with low-risk MRI findings. To inform this advice, data on the accuracy of MRI and the accuracy of TRUS biopsy in people with low-risk MRI findings were obtained from the PROMIS trial (previously unpublished data on the sensitivity of TRUS biopsy stratified by MRI findings were provided by the PROMIS investigators; for details, see table HE05 in Health economics report). Data on the adverse events associated with TRUS biopsy were derived from the ProtecT RCT (Rosario et al., 2012). To use these data, it was assumed that

  • both tests (multiparametric MRI and TRUS biopsy) will perform similarly in practice as they did in the PROMIS trial, and
  • the population recruited for the study is representative of people who are suspected of prostate cancer in practice; in particular, there is a similar prevalence of clinically significant prostate cancer among PROMIS participants as there is in the population that would be considered for testing in practice. This assumption is important, as the information the committee suggest should be used to guide decision-making includes data derived from predictive values. These will only be valid for populations with the same underlying prevalence of disease as the cohort in the study. However, the committee agreed that, because it was undertaken in the UK and had broad eligibility criteria, PROMIS is a good source of evidence on the true prevalence of clinically significant prostate cancer (when measured using a reliable standard – TPM biopsy) as well as on the performance of MRI and TRUS biopsy. Therefore, the committee was content that predictive values from PROMIS should have a good degree of applicability in NHS practice.

Evidence from the PROMIS study showed that a multiparametric- MRI Likert score of less than 3 leads to a large decrease in the probability that a person suspected of prostate cancer has clinically significant disease, as a result the committee recommended that multiparametric MRI - influenced prostate biopsy should be offered in people whose multiparametric-MRI Likert score is 3 or more.

Considering the accuracy of multiparametric MRI, the committee made a ‘do not offer’ recommendation on the use of mapping transperineal template biopsy as an initial assessment. The committee explained that this type of biopsy is very invasive requiring patients to be under general anaesthetics, and requiring at least 24 samples to be taken. It also explained that transperineal template biopsy is resource intensive and the NHS is not equipped to perform large numbers of these. The committee was also concerned by the potential for over diagnosis and high numbers of clinically non-significant disease are identified.

The committee did not change the existing recommendation that imaging should not be offered to people who are not suitable for for radical treatment because no new evidence was found that affects current recommended practice.

Cost effectiveness

The committee reviewed the included economic evidence. It agreed that the included cost-utility analysis provided directly applicable evidence, as it was based on a UK RCT (PROMIS). The committee noted some limitations of the analyses, particularly that the MRI-influenced biopsy technique was not explicitly explained, which affected the sensitivity parameter assigned to this test. In addition, there was a high degree of uncertainty around the cost-effectiveness of the long-term treatment, in particular for those with low-risk prostate cancer. This influenced the selection of the MP-MRI cut-off point at which patient were directed to biopsy. However, the committee were shown the two-way sensitivity analysis that assessed the impact of changes in two parameters: the relative sensitivity of the MRI-influenced biopsy and its cost. They were convinced that the optimal strategy suggested by PROMIS economic study was maintained within plausible ranges.

The committee agreed that limitations of the economic evidence provided by PROMIS would not alter its conclusion. Thus it concluded that the data provided by PROMIS are sufficient to underpin its recommendation about considering the diagnostic strategy suggested by PROMIS and found to be the most optimal in diagnosing prostate cancer.

Other factors the committee took into account

The committee discussed the term ‘clinically significant cancer’ and agreed that there was no universally agreed definition of the term. The definition used in this review generally meant cancer of Gleason 7 or greater as reported by the included studies.

The committee also discussed whether or not there should be a specific mention of which contrast enhancement agent to use with multiparametric MRI. The committee decided to leave this decision with the imaging centres and specified that the MRI protocol should be multiparametric – which includes at least 1.5 Tesla, diffusion weighted, contrast- enhanced imaging and b value of at least 800.

Appendices

Appendix A. Review protocols

RQ1. Review protocol for prostate cancer diagnosis in men with suspected prostate (diagnostic cross-sectional studies)

Image

Table

Multiparametric or biparametric MRI alone MRI influenced TRUS biopsy (MRI-targeted and MRI-guided TRUS biopsy)

RQ1a. Review protocol for prostate cancer diagnosis in men with suspected prostate (randomised control studies)

Image

Table

Multiparametric or biparametric MRI alone MRI influenced TRUS biopsy (MRI-targeted and MRI-guided TRUS biopsy)

Appendix B. Methods

Incorporating published systematic reviews

For all review questions where a literature search was undertaken looking for a particular study design, systematic reviews containing studies of that design were also included. All included studies from those systematic reviews were screened to identify any additional relevant primary studies not found as part of the initial search.

Evidence of effectiveness of interventions

Quality assessment

Individual RCTs and quasi-randomised controlled trials were quality assessed using the Cochrane Risk of Bias Tool. Each individual study was classified into one of the following three groups:

  • Low risk of bias – The true effect size for the study is likely to be close to the estimated effect size.
  • Moderate risk of bias – There is a possibility the true effect size for the study is substantially different to the estimated effect size.
  • High risk of bias – It is likely the true effect size for the study is substantially different to the estimated effect size.

Each individual study was also classified into one of three groups for directness, based on if there were concerns about the population, intervention, comparator and/or outcomes in the study and how directly these variables could address the specified review question. Studies were rated as follows:

  • Direct – No important deviations from the protocol in population, intervention, comparator and/or outcomes.
  • Partially indirect – Important deviations from the protocol in one of the population, intervention, comparator and/or outcomes.
  • Indirect – Important deviations from the protocol in at least two of the following areas: population, intervention, comparator and/or outcomes.

Methods for combining intervention evidence

Meta-analyses of interventional data were conducted with reference to the Cochrane Handbook for Systematic Reviews of Interventions (Higgins et al. 2011).

Where different studies presented continuous data measuring the same outcome but using different numerical scales (e.g. a 0-10 and a 0-100 visual analogue scale), these outcomes were all converted to the same scale before meta-analysis was conducted on the mean differences. Where outcomes measured the same underlying construct but used different instruments/metrics, data were analysed using standardised mean differences (Hedges’ g).

A pooled relative risk was calculated for dichotomous outcomes (using the Mantel–Haenszel method). Both relative and absolute risks were presented, with absolute risks calculated by applying the relative risk to the pooled risk in the comparator arm of the meta-analysis.

Fixed- and random-effects models (der Simonian and Laird) were fitted for all syntheses, with the presented analysis dependent on the degree of heterogeneity in the assembled evidence. Fixed-effects models were the preferred choice to report, but in situations where the assumption of a shared mean for fixed-effects model were clearly not met, even after appropriate pre-specified subgroup analyses were conducted, random-effects results are presented. Fixed-effects models were deemed to be inappropriate if one or both of the following conditions was met:

  • Significant between study heterogeneity in methodology, population, intervention or comparator was identified by the reviewer in advance of data analysis. This decision was made and recorded before any data analysis was undertaken.
  • The presence of significant statistical heterogeneity in the meta-analysis, defined as I2≥50%.

In any meta-analyses where some (but not all) of the data came from studies at high risk of bias, a sensitivity analysis was conducted, excluding those studies from the analysis. Results from both the full and restricted meta-analyses are reported. Similarly, in any meta-analyses where some (but not all) of the data came from indirect studies, a sensitivity analysis was conducted, excluding those studies from the analysis.

Meta-analyses were performed in Cochrane Review Manager v5.3.

Minimal clinically important differences (MIDs)

The Core Outcome Measures in Effectiveness Trials (COMET) database was searched to identify published minimal clinically important difference thresholds relevant to this guideline. Identified MIDs were assessed to ensure they had been developed and validated in a methodologically rigorous way, and were applicable to the populations, interventions and outcomes specified in this guideline. In addition, the Guideline Committee were asked to prospectively specify any outcomes where they felt a consensus MID could be defined from their experience. In particular, any questions looking to evaluate non-inferiority (that one treatment is not meaningfully worse than another) required an MID to be defined to act as a non-inferiority margin.

For standardised mean differences where no other MID was available, an MID of 0.2 was used, corresponding to the threshold for a small effect size initially suggested by Cohen et al. (1988). For relative risks where no other MID was available, a default MID interval for dichotomous outcomes of 0.8 to 1.25 was used.

When decisions were made in situations where MIDs were not available, the ‘Evidence to Recommendations’ section of that review should make explicit the committee’s view of the expected clinical importance and relevance of the findings. In particular, this includes consideration of whether the whole effect of a treatment (which may be felt across multiple independent outcome domains) would be likely to be clinically meaningful, rather than simply whether each individual sub outcome might be meaningful in isolation.

GRADE for pairwise meta-analyses of interventional evidence

GRADE was used to assess the quality of evidence for the selected outcomes as specified in ‘Developing NICE guidelines: the manual (2014)’. Data from RCTs was initially rated as high quality and the quality of the evidence for each outcome was downgraded or not from this initial point. If non-RCT evidence was included for intervention-type systematic reviews then these were initially rated as either moderate quality (quasi-randomised studies) or low quality (cohort studies) and the quality of the evidence for each outcome was further downgraded or not from this point, based on the criteria given in Table 5

Table 5. Rationale for downgrading quality of evidence for intervention studies

The quality of evidence for each outcome was upgraded if any of the following three conditions were met:

  • Data from non-randomised studies showing an effect size sufficiently large that it cannot be explained by confounding alone.
  • Data showing a dose-response gradient.
  • Data where all plausible residual confounding is likely to increase our confidence in the effect estimate.

Publication bias

Publication bias was assessed in two ways. First, if evidence of conducted but unpublished studies was identified during the review (e.g. conference abstracts, trial protocols or trial records without accompanying published data), available information on these unpublished studies was reported as part of the review. Secondly, where 10 or more studies were included as part of a single meta-analysis, a funnel plot was produced to graphically assess the potential for publication bias.

Evidence statements

Evidence statements for pairwise intervention data are classified in to one of four categories:

  • Situations where the data are only consistent, at a 95% confidence level, with an effect in one direction (i.e. one that is ‘statistically significant’), and the magnitude of that effect is most likely to meet or exceed the MID (i.e. the point estimate is not in the zone of equivalence). In such cases, we state that the evidence showed that there is an effect.
  • Situations where the data are only consistent, at a 95% confidence level, with an effect in one direction (i.e. one that is ‘statistically significant’), but the magnitude of that effect is most likely to be less than the MID (i.e. the point estimate is in the zone of equivalence). In such cases, we state that the evidence could not demonstrate a meaningful difference.
  • Situations where the data are consistent, at a 95% confidence level, with an effect in either direction (i.e. one that is not ‘statistically significant’) but the confidence limits are smaller than the MIDs in both directions. In such cases, we state that the evidence demonstrates that there is no difference.
  • In all other cases, we state that the evidence could not differentiate between the comparators.

For outcomes without a defined MID or where the MID is set as the line of no effect (for example, in the case of mortality), evidence statements are divided into 2 groups as follows:

  • We state that the evidence showed that there is an effect if the 95% CI does not cross the line of no effect.
  • We state the evidence could not differentiate between comparators if the 95% CI crosses the line of no effect.

The number of trials and participants per outcome are detailed in the evidence statements, but in cases where there are several outcomes being summarised in a single evidence statement and the numbers of participants and trials differ between outcomes, then the number of trials and participants stated are taken from the outcome with the largest number of trials. This is denoted using the terminology ‘up to’ in front of the numbers of trials and participants.

The evidence statements also cover the quality of the outcome based on the GRADE table entry. These can be included as single ratings of quality or go from one quality level to another if multiple outcomes with different quality ratings are summarised by a single evidence statement

Diagnostic test accuracy evidence

In this guideline, diagnostic test accuracy (DTA) data are classified as any data in which a feature – be it a symptom, a risk factor, a test result or the output of some algorithm that combines many such features – is observed in some people who have the condition of interest at the time of the test and some people who do not. Such data either explicitly provide, or can be manipulated to generate, a 2x2 classification of true positives and false negatives (in people who, according to the reference standard, truly have the condition) and false positives and true negatives (in people who, according to the reference standard, do not).

The ‘raw’ 2x2 data can be summarised in a variety of ways. Those that were used for decision making in this guideline are as follows:

  • Positive likelihood ratios describe how many times more likely positive features are in people with the condition compared to people without the condition. Values greater than 1 indicate that a positive result makes the condition more likely.
    • LR+ = (TP/[TP+FN])/(FP/[FP+TN])
  • Negative likelihood ratios describe how many times less likely negative features are in people with the condition compared to people without the condition. Values less than 1 indicate that a negative result makes the condition less likely.
    • LR- = (FN/[TP+FN])/(TN/[FP+TN])
  • Sensitivity is the probability that the feature will be positive in a person with the condition.
    • sensitivity = TP/(TP+FN)
  • Specificity is the probability that the feature will be negative in a person without the condition.
    • specificity = TN/(FP+TN)

The following schema, adapted from the suggestions of Jaeschke et al. (1994), was used to interpret the likelihood ratio findings from diagnostic test accuracy reviews.

Table 6. Interpretation of likelihood ratios

The schema above has the effect of setting a minimal important difference for positive likelihoods ratio at 2, and a corresponding minimal important difference for negative likelihood ratios at 0.5. Likelihood ratios (whether positive or negative) falling between these thresholds were judged to indicate no meaningful change in the probability of disease.

Quality assessment

Individual studies were quality assessed using the QUADAS-2 tool, which contains four domains: patient selection, index test, reference standard, and flow and timing. Each individual study was classified into one of the following two groups:

  • Low risk of bias – Evidence of non-serious bias in zero or one domain.
  • Moderate risk of bias – Evidence of non-serious bias in two domains only, or serious bias in one domain only.
  • High risk of bias – Evidence of bias in at least three domains, or of serious bias in at least two domains.

Each individual study was also classified into one of three groups for directness, based on if there were concerns about the population, index features and/or reference standard in the study and how directly these variables could address the specified review question. Studies were rated as follows:

  • Direct – No important deviations from the protocol in population, index feature and/or reference standard.
  • Partially indirect – Important deviations from the protocol in one of the population, index feature and/or reference standard.
  • Indirect – Important deviations from the protocol in at least two of the population, index feature and/or reference standard.

Methods for combining diagnostic test accuracy evidence

Meta-analysis of diagnostic test accuracy data was conducted with reference to the Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy (Deeks et al. 2010).

Where applicable, diagnostic syntheses were stratified by:

  • Presenting symptomatology (features shared by all participants in the study, but not all people who could be considered for a diagnosis in clinical practice).
  • The reference standard used for true diagnosis.

Where five or more studies were available for all included strata, a bivariate model was fitted using the mada package in R v3.4.0, which accounts for the correlations between positive and negative likelihood ratios, and between sensitivities and specificities. Where sufficient data were not available (2-4 studies), separate independent pooling was performed for positive likelihood ratios, negative likelihood ratios, sensitivity and specificity, using Microsoft Excel. This approach is conservative as it is likely to somewhat underestimate test accuracy, due to failing to account for the correlation and trade-off between sensitivity and specificity (see Deeks 2010).

Random-effects models (der Simonian and Laird) were fitted for all syntheses, as recommended in the Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy (Deeks et al. 2010).

In any meta-analyses where some (but not all) of the data came from studies at high risk of bias, a sensitivity analysis was conducted, excluding those studies from the analysis. Results from both the full and restricted meta-analyses are reported. Similarly, in any meta-analyses where some (but not all) of the data came from indirect studies, a sensitivity analysis was conducted, excluding those studies from the analysis.

Modified GRADE for diagnostic test accuracy evidence

GRADE has not been developed for use with diagnostic studies; therefore a modified approach was applied using the GRADE framework. GRADE assessments were only undertaken for positive and negative likelihood ratios, as the MIDs used to assess imprecision were based on these outcomes, but results for sensitivity and specificity are also presented alongside those data.

Cross-sectional and cohort studies were initially rated as high-quality evidence if well conducted, and then downgraded according to the standard GRADE criteria (risk of bias, inconsistency, imprecision and indirectness) as detailed in Table 7 below.

Table 7. Rationale for downgrading quality of evidence for diagnostic questions

The quality of evidence for each outcome was upgraded if either of the following conditions were met:

  • Data showing an effect size sufficiently large that it cannot be explained by confounding alone.
  • Data where all plausible residual confounding is likely to increase our confidence in the effect estimate.

Publication bias

Publication bias was assessed in two ways. First, if evidence of conducted but unpublished studies was identified during the review (e.g. conference abstracts or protocols without accompanying published data), available information on these unpublished studies was reported as part of the review. Secondly, where 10 or more studies were included as part of a single meta-analysis, a funnel plot was produced to graphically assess the potential for publication bias.

Methods for combining inter-rater agreement evidence

The reliability of agreement for diagnostic data between observers was evaluated using the kappa coefficient. The measure calculates the level of agreement in classification. The general rule of thumb to follow is: if there is no agreement among the classification, then kappa ≤0; if there is complete agreement then kappa=1 (Fleiss 1971). The following schema (see Table 8), adapted from the suggestions of Fleiss, was used to interpret the level of agreement in diagnostic classification. Random-effects models (der Simonian and Laird) were fitted for all syntheses in R v3.4.0.

In any meta-analyses where some (but not all) of the data came from studies at high risk of bias, a sensitivity analysis was conducted, excluding those studies from the analysis. Results from both the full and restricted meta-analyses are reported. Similarly, in any meta-analyses where some (but not all) of the data came from indirect studies, a sensitivity analysis was conducted, excluding those studies from the analysis.

Table 8. Interpretation of kappa coefficient

Modified GRADE for inter-rater agreement evidence

GRADE has not been developed for use with inter-rater agreement; therefore a modified approach was applied using the GRADE framework. Data from all study types was initially rated as high quality, with the quality of the evidence for each outcome then downgraded or not from this initial point.

Table 9. Rationale for downgrading evidence for inter-rater agreement

Appendix C. Literature search strategies

Search summary

The search strategies are based on the review protocol provided. The MRI/biopsy terms have been taken from the search strategy used in CG175.

Clinical searches

Source searched for this review question:

  • Cochrane Database of Systematic Reviews – CDSR (Wiley)
  • Cochrane Central Register of Controlled Trials – CENTRAL (Wiley)
  • Database of Abstracts of Reviews of Effects – DARE (Wiley)
  • Health Technology Assessment Database – HTA (Wiley)
  • EMBASE (Ovid)
  • MEDLINE (Ovid)
  • MEDLINE In-Process (Ovid)

The clinical searches were conducted in January 2018.

The MEDLINE search strategy is presented below. It was translated for use in all other databases.

Study design filters and limits

A diagnostic filter was appended to the review question above. The MEDLINE filter is presented below. It were translated for use in the MEDLINE In-Process and Embase databases.

An English language limit has been applied.

A date limit from 2007 was applied as the committee members were confident we would unlikely find studies on MRI guided biopsy prior to 2007 that reflect current practice.

Animal studies and certain publication types (letters, historical articles, comments, editorials, news and case reports) have been excluded.

Health Economics search strategy

Economic evaluations and quality of life data.

Sources searched:

  • NHS Economic Evaluation Database – NHS EED (Wiley) (legacy database)
  • Health Technology Assessment (HTA Database)
  • EconLit (Ovid)
  • Embase (Ovid)
  • MEDLINE (Ovid)
  • MEDLINE In-Process (Ovid)

Search filters to retrieve economic evaluations and quality of life papers were appended to population search terms in MEDLINE, MEDLINE In-Process and Embase to identify relevant evidence and can be seen below.

An English language limit has been applied.

A date limit from 2007 was applied as the committee members were confident we would unlikely find studies on MRI guided biopsy prior to 2007 that reflect current practice.

Animal studies and certain publication types (letters, historical articles, comments, editorials, news and case reports) have been excluded.

The economic searches were conducted in February 2018.

Health Economics filters

Appendix D. Clinical evidence study selection

Clinical evidence – Diagnostic Cross sectional studies

Image chdappdf1

Clinical evidence - Randomised control studies

Image chdappdf2

Economic evidence

Image chdappdf3

Appendix E. evidence tables

Clinical evidence tables

Diagnosing prostate cancer in people suspected to have prostate cancer (diagnostic cross-sectional studies)

Studies on Multiparametric MRI compared to Transperineal Template Biopsy (PDF, 197K)

Diagnosing prostate cancer in people suspected to have prostate cancer (RCTs) (PDF, 219K)

Health economics (PDF, 334K)

Appendix F. Forest plots

Diagnosing prostate cancer in people suspected to have prostate cancer – cross-sectional studies

TRUS biopsy compared to Transperineal Template Biopsy – Sensitivity and specificity for clinically significant cancer
Image chdappff1
TRUS biopsy compared to Transperineal Template Biopsy - Likelihood ratios for clinically significant cancer
Image chdappff2

Diagnosing prostate cancer in people suspected to have prostate cancer – randomised control studies

MRI influenced Biopsy versus TRUS biopsy – Proportion of people with clinically significant cancer
Image chdappff3
Proportion of people with clinically insignificant cancer
Image chdappff4
People who avoided biopsy
Image chdappff5

The forest plot shows the odds and not odds ratio – this was converted to the equivalent proportion for easy interpretation and this equates to 0.27 (0.22, 0.31)

Health related quality of life EQ 5D description
Image chdappff6
Investigator reported adverse events related to the interventions
Image chdappff7
Patient reported 30 day post intervention complications
Image chdappff8

Appendix G. GRADE tables

Diagnosing prostate cancer in people suspected to have prostate cancer (diagnostic cross-sectional studies)

Multiparametric MRI

TRUS biopsy

Diagnosing prostate cancer – randomised control trials

MRI influenced prostate biopsy (Targeted biopsy) versus prostate biopsy

Appendix H. Excluded studies

Clinical studies

RQ1 Diagnostic cross-sectional studies
Image

Table

Only included population with negative TRUS/MRI results Only included people with overall MRI score ≥3

Randomised control studies
Image

Table

Study does not contain any relevant interventions Not a randomised controlled trial

Economic studies

Appendix I. References

Clinical studies - included - cross-sectional studies

  • Ahmed Hu, El-Shater Bosaily A, Brown Lc, Gabe R, Kaplan R, Parmar Mk, Collaco-Moraes Y, Ward K, Hindley Rg, Freeman A, Kirkham Ap, Oldroyd R, Parker C, and Emberton M (2017) Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study. Lancet (no pagination), [PubMed: 28110982]

  • Nafie S, Mellon Jk, Dormer Jp, and Khan Ma (2014)The role of transperineal template prostate biopsies in prostate cancer diagnosis in biopsy naive men with PSA less than 20 ng ml-1. Prostate cancer and prostatic diseases 17(2), 170–173 [PubMed: 24590360]

Clinical studies - included - randomised control studies

  • Kasivisvanathan V, Rannikko AS, Borghi M, Panebianco V, Mynderse LA, Vaarala MH, Briganti A, Budaus L, Hellawell G, Hindley RG, Roobol MJ, Eggener S, Ghei M, Villers A, Bladou F, Villeirs GM, Virdi J, Boxler S, Robert G, Singh PB, Venderink W, Hadaschik BA, Ruffion A, Hu JC, Margolis D, Crouzet S, Klotz L, Taneja SS, Pinto P, Gill I, Allen C, Giganti F, Freeman A, Morris S, Punwani S, Williams NR, Brew-Graves C, Deeks J, Takwoingi Y, Emberton M, and Moore CM. (2018). MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis.. The New England journal of medicine, 378(19), pp.1767–1777. [PMC free article: PMC9084630] [PubMed: 29552975]

  • Porpiglia F, Mele F, Manfredi M, Luca S, Checcucci E, Garrou D, Cattaneo G, Amparore D, Bollito E, Russo F, Gned D, Pascale A, Cirillo S, and Fiori C (2017) Standard prostate biopsy Versus MRI-fusion biopsy: results after two years of a prospective randomized study. Anticancer research. Conference: 27th annual meeting of the Italian society of uro-oncology, and siuro 2017. Italy 37(4), 2148

Clinical studies – excluded – cross-sectional studies

  • A’Amar O M, Liou L, Rodriguez-Diaz E, De Las Morenas, A, and Bigio I J (2013) Comparison of elastic scattering spectroscopy with histology in ex vivo prostate glands: Potential application for optically guided biopsy and directed treatment. Lasers in Medical Science 28(5), 1323–1329 [PubMed: 23247663]

  • Abd-Alazeez Mohamed, Ahmed Hashim U, Arya Manit, Allen Clare, Dikaios Nikolaos, Freeman Alex, Emberton Mark, and Kirkham Alex (2014) Can multiparametric magnetic resonance imaging predict upgrading of transrectal ultrasound biopsy results at more definitive histology?. Urologic oncology 32(6), 741–7 [PubMed: 24981993]

  • Abd-Alazeez M, Kirkham A, Ahmed H U, Arya M, Anastasiadis E, Charman S C, Freeman A, and Emberton M (2014) Performance of multiparametric MRI in men at risk of prostate cancer before the first biopsy: A paired validating cohort study using template prostate mapping biopsies as the reference standard. Prostate Cancer and Prostatic Diseases 17(1), 40–46 [PMC free article: PMC3954968] [PubMed: 24126797]

  • Abd-Alazeez M, Ramachandran N, Dikaios N, Ahmed H U, Emberton M, Kirkham A, Arya M, Taylor S, Halligan S, and Punwani S (2015) Multiparametric MRI for detection of radiorecurrent prostate cancer: Added value of apparent diffusion coefficient maps and dynamic contrast-enhanced images. Prostate Cancer and Prostatic Diseases 18(2), 128–136 [PubMed: 25644248]

  • Abdi H, Pourmalek F, Zargar H, Walshe T, Harris A C, Chang S D, Eddy C, So A I, Gleave M E, Machan L, Goldenberg S L, and Black P C (2015) Multiparametric magnetic resonance imaging enhances detection of significant tumor in patients on active surveillance for prostate cancer. Urology 85(2), 423–428 [PubMed: 25623709]

  • Abdollah F, Novara G, Briganti A, Scattoni V, Raber M, Roscigno M, Suardi N, Gallina A, Artibani W, Ficarra V, Cestari A, Guazzoni G, Rigatti P, and Montorsi F (2011) Trans-rectal versus trans-perineal saturation rebiopsy of the prostate: Is there a difference in cancer detection rate?. Urology 77(4), 921–925 [PubMed: 21131034]

  • Abedi I, Tavakkoli M B, Rabbani M, Jabbari K, Sirous M, and Far G Y (2017) Multiparametric magnetic resonance imaging of prostate cancer: Association of quantitative magnetic resonance parameters with histopathologic findings. Iranian Journal of Radiology 14(3), e37844

  • Abouassaly R, Lane B R, and Jones J S (2008) Staging Saturation Biopsy in Patients with Prostate Cancer on Active Surveillance Protocol. Urology 71(4), 573–577 [PubMed: 18387385]

  • Abu V K (2011) The use of MRI scanning to triage patients. British Journal of Nursing 20(20), 1310–1314 [PubMed: 22068007]

  • Acar O, Esen T, Colakoglu B, Vural M, Onay A, Saglican Y, Turkbey B, and Rozanes I (2015) Multiparametric MRI guidance in first-time prostate biopsies: What is the real benefit?. Diagnostic and Interventional Radiology 21(4), 271–276 [PMC free article: PMC4498421] [PubMed: 26027768]

  • An J Y, Sidana A, Holzman S A, Baiocco J A, Mehralivand S, Choyke P L, Wood B J, Turkbey B, and Pinto P A (2018) Ruling out clinically significant prostate cancer with negative multi-parametric MRI. International Urology and Nephrology 50(1), 7–12 [PMC free article: PMC8058631] [PubMed: 29143253]

  • Anastasiadis E, Charman S C, Arumainayagam N, Sohaib A S, Allen C, Freeman A, Emberton M, and Ahmed H U (2015) What Burden of Prostate Cancer Can Radiologists Rule Out on Multiparametric Magnetic Resonance Imaging? A Sensitivity Analysis Based on Varying the Target Condition in Template Prostate Mapping Biopsies. Urology 86(3), 544–551 [PubMed: 26253041]

  • Arumainayagam N, Kumaar S, Ahmed H U, Moore C M, Payne H, Freeman A, Allen C, Kirkham A, and Emberton M (2010) Accuracy of multiparametric magnetic resonance imaging in detecting recurrent prostate cancer after radiotherapy. BJU International 106(7), 991–997 [PubMed: 20230392]

  • Arumainayagam N, Ahmed H U, Moore C M, Freeman A, Allen C, Sohaib S A, Kirkham A, Van Der Meulen, J, and Emberton M (2013) Multiparametric MR imaging for detection of clinically significant prostate cancer: A validation cohort study with transperineal template prostate mapping as the reference standard. Radiology 268(3), 761–769 [PubMed: 23564713]

  • Barnett C L, Auffenberg G B, Cheng Z, Yang F, Wang J, Wei J T, Miller D C, Montie J E, Mamawala M, and Denton B T (2017) Optimizing active surveillance strategies to balance the competing goals of early detection of grade progression and minimizing harm from biopsies. Cancer, [PubMed: 29131319]

  • Barrett Tristan, Patterson Andrew J, Koo Brendan C, Wadhwa Karan, Warren Anne Y, Doble Andrew, Gnanapragasam Vincent J, Kastner Christof, and Gallagher Ferdia A (2016) Targeted transperineal biopsy of the prostate has limited additional benefit over background cores for larger MRI-identified tumors. World journal of urology 34(4), 501–8 [PMC free article: PMC4799791] [PubMed: 26238348]

  • Barrett T, and Haider M A (2017) The emerging role of MRI in prostate cancer active surveillance and ongoing challenges. American Journal of Roentgenology 208(1), 131–139 [PubMed: 27726415]

  • Barzell W E, and Melamed M R (2007) Appropriate Patient Selection in the Focal Treatment of Prostate Cancer: The Role of Transperineal 3-Dimensional Pathologic Mapping of the Prostate-A 4-Year Experience. Urology 70(6 SUPPL. 1), S27–S35 [PubMed: 18194708]

  • Barzell W E, Melamed M R, Cathcart P, Moore C M, Ahmed H U, and Emberton M (2012) Identifying candidates for active surveillance: An evaluation of the repeat biopsy strategy for men with favorable risk prostate cancer. Journal of Urology 188(3), 762–767 [PubMed: 22818143]

  • Becker A S, Cornelius A, Reiner C S, Stocker D, Ulbrich E J, Barth B K, Mortezavi A, Eberli D, and Donati O F (2017) Direct comparison of PI-RADS version 2 and version 1 regarding interreader agreement and diagnostic accuracy for the detection of clinically significant prostate cancer. European Journal of Radiology 94, 58–63 [PubMed: 28941761]

  • Bittner N, Merrick G S, Butler W M, Bennett A, and Galbreath R W (2013) Incidence and pathological features of prostate cancer detected on transperineal template guided mapping biopsy after negative transrectal ultrasound guided biopsy. Journal of Urology 190(2), 509–514 [PubMed: 23416641]

  • Bjurlin M A, Mendhiratta N, Wysock J S, and Taneja S S (2016) Multiparametric MRI and targeted prostate biopsy: Improvements in cancer detection, localization, and risk assessment. Central European Journal of Urology 69(1), 9–18 [PMC free article: PMC4846729] [PubMed: 27123316]

  • Bladou F, Fogaing C, Levental M, Aronson S, Alameldin M, and Anidjar M (2017) Transrectal ultrasound-guided biopsy for prostate cancer detection: Systematic and/or magnetic-resonance imaging-targeted. Canadian Urological Association Journal 11(9), E330–E337 [PMC free article: PMC5798436] [PubMed: 29382454]

  • Boesen L, Noergaard N, Chabanova E, Logager V, Balslev I, Mikines K, and Thomsen H S (2015) Early experience with multiparametric magnetic resonance imaging-targeted biopsies under visual transrectal ultrasound guidance in patients suspicious for prostate cancer undergoing repeated biopsy. Scandinavian Journal of Urology 49(1), 25–34 [PubMed: 24922550]

  • Borkowetz A, Platzek I, Toma M, Laniado M, Baretton G, Froehner M, Koch R, Wirth M, and Zastrow S (2015) Comparison of systematic transrectal biopsy to transperineal magnetic resonance imaging/ultrasound-fusion biopsy for the diagnosis of prostate cancer. BJU International 116(6), 873–879 [PubMed: 25523210]

  • Borkowetz A, Zastrow S, Platzek I, Toma M, Froehner M, Koch R, and Wirth M (2015) Assessment of tumour aggressiveness in tranperineal mri/ultrasound-fusion biopsy in comparison to transrectal systematic prostate biopsy. Journal of urology. 193(4 suppl. 1), e596

  • Bosco C, Cozzi G, Kinsella J, Bianchi R, Acher P, Challacombe B, Popert R, Brown C, George G, Van Hemelrijck, M, and Cahill D (2016) Confirmatory biopsy for the assessment of prostate cancer in men considering active surveillance: Reference centre experience. ecancermedicalscience 10, 633 [PMC free article: PMC4854226] [PubMed: 27170833]

  • Brock Marko, von Bodman, Christian, Palisaar Juri, Becker Wolfgang, Martin-Seidel Philipp, and Noldus Joachim (2015) Detecting Prostate Cancer. Deutsches Arzteblatt international 112(37), 605–11 [PMC free article: PMC4581108] [PubMed: 26396046]

  • Brown L C, Gabe R, Hindley R G, Ahmed H U, Bosaily A E. S, Parker C, Cooper C, Oldroyd R, Kaplan R, Brown L, Rhian Gabe, Collaco-Moraes Y, Adusei, Ward, Stewart S, Mulrenan K T. C, Gardner H, Diaz-Montana C, Coyle C, Sculpher M, Faria R, David Guthrie, Chester J, Cowan R, Jewitt M, Ahmed H, Coe J, El-Shater Bosaily, A, Emberton M, Freeman A, Hung M, Jameson C, Kirkham A, Punwani S, Scott R, Hindley R, Edwards A, El-Mahallawi H, Peppercorn D, Smith J, Thrower A, Winkler M, Ansu K, Barwick T, Edwards S, Honeyfield L, Qazi N, Statton B, Stewart V, Temple E, Burns-Cox N, Burn P, Gordon K, Routley H, Maccormick A, Paterson D, Henderson A, Bernsten E, Casey R, Day D, Ghosh S, James J, McMillan P J, Russell G, Persad R, Ash-Miles J, Elmahdy M, Pandian S, Shiridzinomwa C, Sohail M, Treasure A, Ghei M, Conteh V, Harbin L, Katz R, Kumaradevan J, Trinidade A, Verjee A, Dudderidge T, Smart J, Rosario D, Catto J, Selem F, Shergill I, and Agarwal S (2015) PROMIS - Prostate MR imaging study: A paired validating cohort study evaluating the role of multi-parametric MRI in men with clinical suspicion of prostate cancer. Contemporary Clinical Trials 42, 26–40 [PMC free article: PMC4460714] [PubMed: 25749312]

  • Castellucci R, Altieri V M, Marchioni M, Castellan P, Pellegrini M, Alvarez-Maestro M, Sanchez-Gomez J, De Francesco, P, Ingrosso M, Tartaro A, and Tenaglia R L (2015) Magnetic resonance spectroscopic imaging 3T and prostate cancer: correlation with transperineal ultrasound guided prostate biopsy. Archivos espanoles de urologia 68(5), 493–501 [PubMed: 26102053]

  • Chen J, Yi X L, Jiang L X, Wang R, Zhao J G, Li Y H, and Hu B (2015) 3-tesla magnetic resonance imaging improves the prostate cancer detection rate in transrectral ultrasound-guided biopsy. Experimental and Therapeutic Medicine 9(1), 207–212 [PMC free article: PMC4247284] [PubMed: 25452804]

  • Chen K, Tay K J, Law Y M, Aydin H, Ho H, Cheng C, and Yuen J S. P (2017) Outcomes of combination MRI-targeted and transperineal template biopsy in restaging low-risk prostate cancer for active surveillance. Asian Journal of Urology, [PMC free article: PMC6033238] [PubMed: 29988897]

  • Cool Dw, Romagnoli C, Izawa Ji, Chin J, Gardi L, Tessier D, Mercado A, Mandel J, Ward Ad, and Fenster A (2016) Comparison of prostate MRI-3D transrectal ultrasound fusion biopsy for first-time and repeat biopsy patients with previous atypical small acinar proliferation. Canadian urological association journal 10(9–10), 342–348 [PMC free article: PMC5085915] [PubMed: 27800057]

  • Di Franco, C A, Jallous H, Porru D, Giliberto G L, Cebrelli T, Tinelli C, and Rovereto B (2017) A retrospective comparison between transrectal and transperineal prostate biopsy in the detection of prostate cancer. Archivio Italiano di Urologia e Andrologia 89(1), 55–59 [PubMed: 28403597]

  • Dieffenbacher S C, Popeneciu I V, Radtke J P, Teber D, Hohenfellner M, Hadaschik B A, and Hatiboglu G (2017) Diagnostic accuracy of transperineal MRI fusion biopsy in comparison to transrectal biopsy with regard to incidental histopathological findings in transurethral resection of the prostate. Urologia Internationalis 99(2), 162–167 [PubMed: 28190012]

  • Dikaios N, Alkalbani J, Sidhu H S, Fujiwara T, Abd-Alazeez M, Kirkham A, Allen C, Ahmed H, Emberton M, Freeman A, Halligan S, Taylor S, Atkinson D, and Punwani S (2014) Logistic regression model for diagnosis of transition zone prostate cancer on multi-parametric MRI. European Radiology 25(2), 523–532 [PMC free article: PMC4291517] [PubMed: 25226842]

  • Dikaios N, Alkalbani J, Abd-Alazeez M, Sidhu H S, Kirkham A, Ahmed H U, Emberton M, Freeman A, Halligan S, Taylor S, Atkinson D, and Punwani S (2015) Zone-specific logistic regression models improve classification of prostate cancer on multi-parametric MRI. European Radiology 25(9), 2727–2737 [PubMed: 25680730]

  • Donaldson I, Hamid S, Barratt D, Hu Y, Rodell R, Villarini B, Bonmati E, Martin P, Hawkes D, McCartan N, Potyka I, Williams N, Brew-Graves C, Moore C, Emberton M, and Ahmed H (2017) The smarttarget biopsy trial: a prospective paired blinded trial with randomisation to compare visual-estimation and image-fusion targeted prostate biopsies. Journal of urology. Conference: 112th annual meeting of the american urological association, and AUA 2017. United states 197(4 Supplement 1), e425

  • Durand M, Jain M, Robinson B, Aronowitz E, El Douahy, Y, Leung R, Scherr D S, Ng A, Donzeau D, Amiel J, Spincemaille P, Villers A, and Ballon D J (2017) Magnetic resonance microscopy may enable distinction between normal histomorphological features and prostate cancer in the resected prostate gland. BJU International 119(3), 414–423 [PubMed: 27154761]

  • Elkhoury F F, Simopoulos D N, and Marks L S (2017) Targeted Prostate Biopsy in the Era of Active Surveillance. Urology, [PMC free article: PMC5856576] [PubMed: 28962878]

  • Elkjaer M, Pedersen Bg, Andersen Mh, Hoyer S, and Borre M (2017) Multi-parametric magnetic resonance imaging and magnetic resonance guided biopsies at active surveillance inclusion selects prostate cancer patients for active treatment. Scandinavian journal of urology. Conference: 31st NUF meeting. Denmark 51(220), 18–19

  • El-Shater Bosaily, A, Parker C, Brown L C, Gabe R, Hindley R G, Kaplan R, Emberton M, Ahmed H U, and Group Promis (2015) PROMIS-Prostate MR imaging study: A paired validating cohort study evaluating the role of multi-parametric MRI in men with clinical suspicion of prostate cancer. Contemporary clinical trials 42, 26–40 [PMC free article: PMC4460714] [PubMed: 25749312]

  • Faiella Eliodoro, Santucci Domiziana, Greco Federico, Frauenfelder Giulia, Giacobbe Viola, Muto Giovanni, Zobel Bruno Beomonte, and Grasso Rosario Francesco (2018) Analysis of histological findings obtained combining US/mp-MRI fusion-guided biopsies with systematic US biopsies: mp-MRI role in prostate cancer detection and false negative. La Radiologia medica 123(2), 143–152 [PubMed: 29019021]

  • Felker E R, Lee-Felker S A, Feller J, Margolis D J, Lu D S, Princenthal R, May S, Cohen M, Huang J, Yoshida J, Greenwood B, Kim H J, and Raman S S (2016) In-bore magnetic resonance-guided transrectal biopsy for the detection of clinically significant prostate cancer. Abdominal Radiology 41(5), 954–962 [PubMed: 27118268]

  • Ferrari F S, Scorzelli A, Megliola A, Drudi F M, Trovarelli S, and Ponchietti R (2009) Real-time elastography in the diagnosis of prostate tumor. Journal of Ultrasound 12(1), 22–31 [PMC free article: PMC3553114] [PubMed: 23396308]

  • Ferriero M, Giacobbe A, Collura D, Papalia R, Guaglianone S, Muto G, Gallucci M, and Simone G (2016) Diagnostic performance of multiparametric MRI in prostate cancer: per core analysis of two prospective ultrasound/MRI fusion biopsy datasets. Journal of endourology. Conference: 34th world congress of endourology, and WCE 2016. South africa. Conference start: 20161108. Conference end: 20161112 30, A29–a30

  • Fusco R, Sansone M, Granata V, Setola S V, and Petrillo A (2017) A systematic review on multiparametric MR imaging in prostate cancer detection. Infectious Agents and Cancer 12(1), 57 [PMC free article: PMC5663098] [PubMed: 29093748]

  • Futterer J J, Briganti A, De Visschere, P, Emberton M, Giannarini G, Kirkham A, Taneja S S, Thoeny H, Villeirs G, and Villers A (2015) Can Clinically Significant Prostate Cancer Be Detected with Multiparametric Magnetic Resonance Imaging? A Systematic Review of the Literature. European Urology 68(6), 1045–1053 [PubMed: 25656808]

  • Garcia C, Winter M, Bergersen P, Woo H, and Chalasani V (2016) Transperineal versus transrectal prostate biopsy in prostate cancer detection: a systematic review with meta-analysis. BJU international. 117, 38

  • Garcia C, Winter M, Bergersen P, Woo H, and Chalasani V (2016) Does transperineal prostate biopsy reduce complications compared with transrectal biopsy? A systematic review and metaanalysis of randomised controlled trials. BJU international. 117, 68–69

  • Garcia Bennett, J, Vilanova J C, Guma Padro, J, Parada D, and Conejero A (2017) Evaluation of MR imaging-targeted biopsies of the prostate in biopsy-naive patients. A single centre study. Diagnostic and Interventional Imaging 98(10), 677–684 [PubMed: 28739430]

  • Gayet M, Van Der Aa, A, Beerlage H P, Schrier B P, Mulders P F. A, and Wijkstra H (2016) The value of magnetic resonance imaging and ultrasonography (MRI/US)-fusion biopsy platforms in prostate cancer detection: A systematic review. BJU International 117(3), 392–400 [PubMed: 26237632]

  • Gaziev G, Wadhwa K, Barrett T, Koo B C, Gallagher F A, Serrao E, Frey J, Seidenader J, Carmona L, Warren A, Gnanapragasam V, Doble A, and Kastner C (2016) Defining the learning curve for multiparametric magnetic resonance imaging (MRI) of the prostate using MRI-transrectal ultrasonography (TRUS) fusion-guided transperineal prostate biopsies as a validation tool. BJU International 117(1), 80–86 [PubMed: 25099182]

  • Gnanapragasam V J, Burling K, George A, Stearn S, Warren A, Barrett T, Koo B, Gallagher F A, Doble A, Kastner C, and Parker R A (2016) The Prostate Health Index adds predictive value to multi-parametric MRI in detecting significant prostate cancers in a repeat biopsy population. Scientific reports 6, 35364 [PMC free article: PMC5066204] [PubMed: 27748407]

  • Gomez-Iturriaga A, Casquero F, Lopez J I, Urresola A, Ezquerro A, Buscher D, Bilbao P, and Crook J (2017) Transperineal biopsies of MRI-detected aggressive index lesions in low- and intermediate-risk prostate cancer patients: Implications for treatment decision. Brachytherapy 16(1), 201–206 [PubMed: 27919653]

  • Gordetsky J B, Nix J W, and Rais-Bahrami S (2016) Perineural Invasion in Prostate Cancer Is More Frequently Detected by Multiparametric MRI Targeted Biopsy Compared With Standard Biopsy. The American journal of surgical pathology 40(4), 490–494 [PubMed: 26523543]

  • Grey A D. R, Chana M S, Popert R, Wolfe K, Liyanage S H, and Acher P L (2015) Diagnostic accuracy of magnetic resonance imaging (MRI) prostate imaging reporting and data system (PI-RADS) scoring in a transperineal prostate biopsy setting. BJU International 115(5), 728–735 [PubMed: 25041307]

  • Grummet J (2017) How to Biopsy: Transperineal Versus Transrectal, Saturation Versus Targeted, What’s the Evidence?. Urologic Clinics of North America 44(4), 525–534 [PubMed: 29107269]

  • Habchi H, Bratan F, Paye A, Pagnoux G, Sanzalone T, Mege-Lechevallier F, Crouzet S, Colombel M, Rabilloud M, and Rouviere O (2014) Value of prostate multiparametric magnetic resonance imaging for predicting biopsy results in first or repeat biopsy. Clinical Radiology 69(3), e120–e128 [PubMed: 24333000]

  • Habibian David J, Liu Corinne C, Dao Alex, Kosinski Kaitlin E, and Katz Aaron E (2017) Imaging Characteristics of Prostate Cancer Patients Who Discontinued Active Surveillance on 3-T Multiparametric Prostate MRI. AJR. American journal of roentgenology 208(3), 564–569 [PubMed: 28075651]

  • Hakozaki Y, Matsushima H, Kumagai J, Murata T, Masuda T, Hirai Y, Oda M, Kawauchi N, Yokoyama M, and Homma Y (2017) A prospective study of magnetic resonance imaging and ultrasonography (MRI/US)-fusion targeted biopsy and concurrent systematic transperineal biopsy with the average of 18-cores to detect clinically significant prostate cancer. BMC Urology 17(1), 117 [PMC free article: PMC5727964] [PubMed: 29233150]

  • Hamoen E H. J, Hoeks C M. A, Somford D M, van Oort, I M, Vergunst H, Oddens J R, Smits G A, Bokhorst L P, Witjes J A, Rovers M M, Hulsbergen-van de Kaa, C A, and Barentsz J O (2018) Value of Serial Multiparametric Magnetic Resonance Imaging and Magnetic Resonance Imaging-guided Biopsies in Men with Low-risk Prostate Cancer on Active Surveillance After 1 Yr Follow-up. European Urology Focus, [PubMed: 29331622]

  • Hansen N, Patruno G, Wadhwa K, Gaziev G, Miano R, Barrett T, Gnanapragasam V, Doble A, Warren A, Bratt O, and Kastner C (2016) Magnetic Resonance and Ultrasound Image Fusion Supported Transperineal Prostate Biopsy Using the Ginsburg Protocol: Technique, Learning Points, and Biopsy Results. European Urology 70(2), 332–340 [PubMed: 26995327]

  • Hansen N L, Caglic I, Berman L H, Kastner C, Doble A, and Barrett T (2016) Multiparametric Prostate Magnetic Resonance Imaging and Cognitively Targeted Transperineal Biopsy in Patients With Previous Abdominoperineal Resection and Suspicion of Prostate Cancer. Urology 96, 8–14 [PubMed: 27155312]

  • Hansen N L, Kesch C, Barrett T, Koo B, Radtke J P, Bonekamp D, Schlemmer H P, Warren A Y, Wieczorek K, Hohenfellner M, Kastner C, and Hadaschik B (2017) Multicentre evaluation of targeted and systematic biopsies using magnetic resonance and ultrasound image-fusion guided transperineal prostate biopsy in patients with a previous negative biopsy. BJU International 120(5), 631–638 [PubMed: 27862869]

  • Hansen N L, Koo B C, Warren A Y, Kastner C, and Barrett T (2017) Sub-differentiating equivocal PI-RADS-3 lesions in multiparametric magnetic resonance imaging of the prostate to improve cancer detection. European Journal of Radiology 95, 307–313 [PubMed: 28987685]

  • Hansford B G, Karademir I, Peng Y, Jiang Y, Karczmar G, Thomas S, Yousuf A, Antic T, Eggener S, and Oto A (2014) Dynamic contrast-enhanced MR imaging features of the normal central zone of the prostate. Academic Radiology 21(5), 569–577 [PubMed: 24703469]

  • Hausmann D, Aksoz N, von Hardenberg, J, Martini T, Westhoff N, Buettner S, Schoenberg S O, and Riffel P (2018) Prostate cancer detection among readers with different degree of experience using ultra-high b-value diffusion-weighted Imaging: Is a non-contrast protocol sufficient to detect significant cancer?. European Radiology 28(2), 869–876 [PubMed: 28799090]

  • Hauth E, Hohmuth H, Cozub-Poetica C, Bernand S, Beer M, and Jaeger H (2015) Multiparametric MRI of the prostate with three functional techniques in patients with PSA elevation before initial TRUS-guided biopsy. British Journal of Radiology 88(1054), 20150422 [PMC free article: PMC4730979] [PubMed: 26268144]

  • Hu Y, Ahmed H U, Carter T, Arumainayagam N, Lecornet E, Barzell W, Freeman A, Nevoux P, Hawkes D J, Villers A, Emberton M, and Barratt D C (2012) A biopsy simulation study to assess the accuracy of several transrectal ultrasonography (TRUS)-biopsy strategies compared with template prostate mapping biopsies in patients who have undergone radical prostatectomy. BJU International 110(6), 812–820 [PubMed: 22394583]

  • Isbarn H, Briganti A, De Visschere, P J, Futterer J J, Ghadjar P, Giannarini G, Ost P, Ploussard G, Sooriakumaran P, Surcel C I, van Oort, I M, Yossepowitch O, van den Bergh, and R C (2015) Systematic ultrasound-guided saturation and template biopsy of the prostate: indications and advantages of extended sampling. Archivos espanoles de urologia 68(3), 296–306 [PubMed: 25948801]

  • Ishioka J, Matsuoka Y, Itoh M, Inoue M, Kijima T, Yoshida S, Yokoyama M, Saito K, Kihara K, Fujii Y, Tanaka H, and Kimura T (2017) Computer-aided diagnosis of prostate cancer using a deep neural networks algorithm in prebiopsy multiparametric magnetic resonance imaging. Journal of urology. Conference: 112th annual meeting of the american urological association, and AUA 2017. United states 197(4 Supplement 1), e209

  • Jambor I, Kahkonen E, Taimen P, Merisaari H, Saunavaara J, Alanen K, Obsitnik B, Minn H, Lehotska V, and Aronen H J (2015) Prebiopsy multiparametric 3T prostate MRI in patients with elevated PSA, normal digital rectal examination, and no previous biopsy. Journal of Magnetic Resonance Imaging 41(5), 1394–1404 [PubMed: 24956412]

  • Javed S, Chadwick E, Edwards Aa, Beveridge S, Laing R, Bott S, Eden C, and Langley S (2014) Does prostate HistoScanning? play a role in detecting prostate cancer in routine clinical practice? Results from three independent studies. BJU international 114(4), 541–548 [PubMed: 24224648]

  • Jiang X, Zhang J, Tang J, Xu Z, Zhang W, Zhang Q, Guo H, and Zhou W (2016) Magnetic resonance imaging - Ultrasound fusion targeted biopsy outperforms standard approaches in detecting prostate cancer: A meta-analysis. Molecular and Clinical Oncology 5(2), 301–309 [PMC free article: PMC4950783] [PubMed: 27446568]

  • Jones T A, Radtke J P, Hadaschik B, and Marks L S (2016) Optimizing safety and accuracy of prostate biopsy. Current Opinion in Urology 26(5), 472–480 [PMC free article: PMC5011431] [PubMed: 27214580]

  • Jue J S, Barboza M P, Prakash N S, Venkatramani V, Sinha V R, Pavan N, Nahar B, Kanabur P, Ahdoot M, Dong Y, Satyanarayana R, Parekh D J, and Punnen S (2017) Re-examining Prostate-specific Antigen (PSA) Density: Defining the Optimal PSA Range and Patients for Using PSA Density to Predict Prostate Cancer Using Extended Template Biopsy. Urology 105, 123–128 [PubMed: 28431993]

  • Kamoi K, Okihara K, Ochiai A, Ukimura O, Mizutani Y, Kawauchi A, and Miki T (2008) The Utility of Transrectal Real-Time Elastography in the Diagnosis of Prostate Cancer. Ultrasound in Medicine and Biology 34(7), 1025–1032 [PubMed: 18255215]

  • Kanoun S, Walker P, Vrigneaud J-M, Depardon E, Barbier V, Humbert O, Moulin M, Crehange G, Cormier L, Loffroy R, Brunotte F, and Cochet A (2017) 18F-Choline Positron Emission Tomography/Computed Tomography and Multiparametric Magnetic Resonance Imaging for the Detection of Early Local Recurrence of Prostate Cancer Initially Treated by Radiation Therapy: comparison With Systematic 3-Dimensional Transperineal Mapping Biopsy. International journal of radiation oncology biology physics 97(5), 986–994 [PubMed: 28333020]

  • Kanthabalan A, Emberton M, and Ahmed H U (2014) Biopsy strategies for selecting patients for focal therapy for prostate cancer. Current Opinion in Urology 24(3), 209–217 [PubMed: 24670871]

  • Kanthabalan A, Abd-Alazeez M, Arya M, Allen C, Freeman A, Jameson C, Kirkham A, Mitra A V, Payne H, Punwani S, Ramachandran N, Walkden M, Emberton M, and Ahmed H U (2016) Transperineal Magnetic Resonance Imaging-targeted Biopsy versus Transperineal Template Prostate Mapping Biopsy in the Detection of Localised Radio-recurrent Prostate Cancer. Clinical Oncology 28(9), 568–576 [PubMed: 27318423]

  • Kapoor J, Lamb A D, and Murphy D G (2017) Re: Diagnostic Accuracy of Multi-parametric MRI and TRUS Biopsy in Prostate Cancer (PROMIS): A Paired Validating Confirmatory Study. European Urology 72(1), 151 [PubMed: 28238478]

  • Kasivisvanathan V, Dufour R, Moore C M, Ahmed H U, Abd-Alazeez M, Charman S C, Freeman A, Allen C, Kirkham A, Van Der Meulen, J, and Emberton M (2013) Transperineal magnetic resonance image targeted prostate biopsy versus transperineal template prostate biopsy in the detection of clinically significant prostate cancer. Journal of Urology 189(3), 860–866 [PubMed: 23063807]

  • Kawakami S, Okuno T, Yonese J, Igari T, Arai G, Fujii Y, Kageyama Y, Fukui I, and Kihara K (2007) Optimal Sampling Sites for Repeat Prostate Biopsy: A Recursive Partitioning Analysis of Three-Dimensional 26-Core Systematic Biopsy. European Urology 51(3), 675–683 [PubMed: 16843585]

  • Kravchick S, Lobik L, Cytron S, Kravchenko Y, Dor D B, and Peled R (2015) Patients with Persistently Elevated PSA and Negative Results of TRUS-Biopsy: Does 6-Month Treatment with Dutasteride can Indicate Candidates for Re-Biopsy. What is the Best of Saturation Schemes: Transrectal or Transperineal Approach?. Pathology and Oncology Research 21(4), 985–989 [PubMed: 25753982]

  • Kroenig M, Schaal K, Benndorf M, Soschynski M, Lenz P, Krauss T, Drendel V, Kayser G, Kurz P, Werner M, Wetterauer U, Schultze-Seemann W, Langer M, and Jilg C A (2016) Diagnostic Accuracy of Robot-Guided, Software Based Transperineal MRI/TRUS Fusion Biopsy of the Prostate in a High Risk Population of Previously Biopsy Negative Men. BioMed Research International 2016, 2384894 [PMC free article: PMC5136643] [PubMed: 27990424]

  • Lai W S, Zarzour J G, Gordetsky J B, and Rais-Bahrami S (2017) Co-registration of MRI and ultrasound: Accuracy of targeting based on radiology-pathology correlation. Translational Andrology and Urology 6(3), 406–412 [PMC free article: PMC5503966] [PubMed: 28725582]

  • Lane B R, Zippe C D, Abouassaly R, Schoenfield L, Magi-Galluzzi C, and Jones J S (2008) Saturation Technique Does Not Decrease Cancer Detection During Followup After Initial Prostate Biopsy. Journal of Urology 179(5), 1746–1750 [PubMed: 18343412]

  • Le J D, Huang J, and Marks L S (2014) Targeted prostate biopsy: Value of multiparametric magnetic resonance imaging in detection of localized cancer. Asian Journal of Andrology 16(4), 522–529 [PMC free article: PMC4104074] [PubMed: 24589455]

  • Lebovici A, Sfrangeu S A, Caraiani C, Lucan C, Suciu M, Elec F, Iacob G, and Buruian M (2015) Value of Endorectal MRI in Romanian Men for High Risk of Prostate Cancer: MRI Findings Compared with Saturation Biopsy. Chirurgia (Bucharest, and Romania : 1990) 110(3), 262–267 [PubMed: 26158736]

  • Lee D H, Nam J K, Park S W, Lee S S, Han J Y, Lee S D, Lee J W, and Chung M K (2016) Visually estimated MRI targeted prostate biopsy could improve the detection of significant prostate cancer in patients with a PSA level <10 ng/mL. Yonsei Medical Journal 57(3), 565–571 [PMC free article: PMC4800343] [PubMed: 26996553]

  • Lee Hakmin, Kim Chan Kyo, Park Byung Kwan, Sung Hyun Hwan, Han Deok Hyun, Jeon Hwang Gyun, Jeong Byong Chang, Seo Seong Il, Jeon Seong Soo, Choi Han Yong, and Lee Hyun Moo (2017) Accuracy of preoperative multiparametric magnetic resonance imaging for prediction of unfavorable pathology in patients with localized prostate cancer undergoing radical prostatectomy. World journal of urology 35(6), 929–934 [PubMed: 27738805]

  • Lee D H, Nam J K, Lee S S, Han J Y, Lee J W, Chung M K, and Park S W (2017) Comparison of multiparametric and biparametric MRI in first round cognitive targeted prostate biopsy in patients with PSA levels under 10 ng/mL. Yonsei Medical Journal 58(5), 994–999 [PMC free article: PMC5552655] [PubMed: 28792144]

  • Li Y H, Elshafei A, Li J, Gong M, Susan L, Fareed K, and Jones J S (2014) Transrectal saturation technique may improve cancer detection as an initial prostate biopsy strategy in men with prostate-specific antigen <10 ng/ml. European Urology 65(6), 1178–1183 [PubMed: 23768632]

  • Linder B J, Frank I, Umbreit E C, Shimko M S, Fernandez N, Rangel L J, and Karnes R J (2013) Standard and saturation transrectal prostate biopsy techniques are equally accurate among prostate cancer active surveillance candidates. International Journal of Urology 20(9), 860–864 [PubMed: 23278942]

  • Lu A J, Syed J S, Nguyen K A, Nawaf C B, Rosoff J, Spektor M, Levi A, Humphrey P A, Weinreb J C, Schulam P G, and Sprenkle P C (2017) Negative Multiparametric Magnetic Resonance Imaging of the Prostate Predicts Absence of Clinically Significant Prostate Cancer on 12-Core Template Prostate Biopsy. Urology 105, 118–122 [PubMed: 28322902]

  • Ma T M, Tosoian J J, Schaeffer E M, Landis P, Wolf S, Macura K J, Epstein J I, Mamawala M, and Carter H B (2017) The Role of Multiparametric Magnetic Resonance Imaging/Ultrasound Fusion Biopsy in Active Surveillance. European Urology 71(2), 174–180 [PubMed: 27236496]

  • Mabjeesh N J, Lidawi G, Chen J, German L, and Matzkin H (2012) High detection rate of significant prostate tumours in anterior zones using transperineal ultrasound-guided template saturation biopsy. BJU International 110(7), 993–997 [PubMed: 22394668]

  • Mariotti G C, Falsarella P M, Garcia R G, Queiroz M R. G, Lemos G C, and Baroni R H (2018) Incremental diagnostic value of targeted biopsy using MP-MRI-TRUS fusion versus 14-fragments prostatic biopsy: a prospective controlled study. European Radiology 28(1), 11–16 [PubMed: 28687911]

  • Marra G, Eldred-Evans D, Challacombe B, Van Hemelrijck, M, Polson A, Pomplun S, Foster C S, Brown C, Cahill D, Gontero P, Popert R, and Muir G (2017) Pathological concordance between prostate biopsies and radical prostatectomy using transperineal sector mapping biopsies: Validation and comparison with transrectal biopsies. Urologia Internationalis 99(2), 168–176 [PubMed: 28768264]

  • Martorana E, Pirola G M, Scialpi M, Micali S, Iseppi A, Bonetti L R, Kaleci S, Torricelli P, and Bianchi G (2017) Lesion volume predicts prostate cancer risk and aggressiveness: validation of its value alone and matched with prostate imaging reporting and data system score. BJU International 120(1), 92–103 [PubMed: 27608292]

  • McCammack K C, Schenker-Ahmed N M, White N S, Best S R, Marks R M, Heimbigner J, Kane C J, Parsons J K, Kuperman J M, Bartsch H, Desikan R S, Rakow-Penner R A, Liss M A, Margolis D J. A, Raman S S, Shabaik A, Dale A M, and Karow D S (2016) Restriction spectrum imaging improves MRI-based prostate cancer detection. Abdominal Radiology 41(5), 946–953 [PMC free article: PMC5386962] [PubMed: 26910114]

  • Merrick G S, Delatore A, Butler W M, Bennett A, Fiano R, Anderson R, and Adamovich E (2017) Transperineal template-guided mapping biopsy identifies pathologic differences between very-low-risk and low-risk prostate cancer: Implications for active surveillance. American Journal of Clinical Oncology: Cancer Clinical Trials 40(1), 53–59 [PubMed: 25068472]

  • Merrick Gregory S, Galbreath Robert W, Bennett Abbey, Butler Wayne M, and Amamovich Edward (2017) Incidence, grade and distribution of prostate cancer following transperineal template-guided mapping biopsy in patients with atypical small acinar proliferation. World journal of urology 35(7), 1009–1013 [PubMed: 27900453]

  • Miakhil I, Macneal P, Sadien I, Yeong Tt, Larner T, Kommu S, Lockett C, Garnett S, and Rimington P (2017) Predictive value of multiparameteric MRI (MP-MRI) for the detection of prostate cancer using 12-core trus-guided prostate biopsy-a United Kingdom multicenter study. Journal of urology. Conference: 112th annual meeting of the american urological association, and AUA 2017. United states 197(4 Supplement 1), e484–e485

  • Miano R, De Nunzio, C, Kim F J, Rocco B, Gontero P, Vicentini C, Micali S, Oderda M, Masciovecchio S, and Asimakopoulos A D (2014) Transperineal versus transrectal prostate biopsy for predicting the final laterality of prostate cancer: Are they reliable enough to select patients for focal therapy? Results from a multicenter international study. International Braz J Urol 40(1), 16–22 [PubMed: 24642146]

  • Moldovan P C, Van den Broeck, T, Sylvester R, Marconi L, Bellmunt J, van den Bergh, R C N, Bolla M, Briers E, Cumberbatch M G, Fossati N, Gross T, Henry A M, Joniau S, van der Kwast, T H, Matveev V B, van der Poel, H G, De Santis, M, Schoots I G, Wiegel T, Yuan C Y, Cornford P, Mottet N, Lam T B, and Rouviere O (2017) What Is the Negative Predictive Value of Multiparametric Magnetic Resonance Imaging in Excluding Prostate Cancer at Biopsy? A Systematic Review and Meta-analysis from the European Association of Urology Prostate Cancer Guidelines Panel. European Urology 72(2), 250–266 [PubMed: 28336078]

  • Monni F, Fontanella P, Grasso A, Wiklund P, Ou Y C, Randazzo M, Rocco B, Montanari E, and Bianchi G (2017) Magnetic resonance imaging in prostate cancer detection and management: A systematic review. Minerva Urologica e Nefrologica 69(6), 567–578 [PubMed: 28488844]

  • Moore C M, Robertson N L, Arsanious N, Middleton T, Villers A, Klotz L, Taneja S S, and Emberton M (2013) Image-guided prostate biopsy using magnetic resonance imaging-derived targets: A systematic review. European Urology 63(1), 125–140 [PubMed: 22743165]

  • Mukherjee A, Morton S, Fraser S, Salmond J, Baxter G, and Leung H Y (2014) Magnetic resonance imaging-directed transperineal limited-mapping prostatic biopsies to diagnose prostate cancer: A scottish experience. Scottish Medical Journal 59(4), 204–208 [PubMed: 25314954]

  • Muthigi A, George Ak, Sidana A, Kongnyuy M, Simon R, Moreno V, Merino Mj, Choyke Pl, Turkbey B, Wood Bj, and Pinto Pa (2017) Missing the Mark: prostate Cancer Upgrading by Systematic Biopsy over Magnetic Resonance Imaging/Transrectal Ultrasound Fusion Biopsy. Journal of urology 197(2), 327–334 [PMC free article: PMC5241234] [PubMed: 27582434]

  • Nafie S, Wanis M, and Khan M (2017) The Efficacy of Transrectal Ultrasound Guided Biopsy Versus Transperineal Template Biopsy of the Prostate in Diagnosing Prostate Cancer in Men with Previous Negative Transrectal Ultrasound Guided Biopsy. Urology journal 14(2), 3008–3012 [PubMed: 28299763]

  • Nakai Y, Tanaka N, Anai S, Miyake M, Hori S, Tatsumi Y, Morizawa Y, Fujii T, Konishi N, and Fujimoto K (2017) Transperineal template-guided saturation biopsy aimed at sampling one core for each milliliter of prostate volume: 103 cases requiring repeat prostate biopsy. BMC Urology 17(1), 1–6 [PMC free article: PMC5382378] [PubMed: 28381267]

  • Numao N, Kawakami S, Yokoyama M, Yonese J, Arisawa C, Ishikawa Y, Ando M, Fukui I, and Kihara K (2007) Improved Accuracy in Predicting the Presence of Gleason Pattern 4/5 Prostate Cancer by Three-Dimensional 26-Core Systematic Biopsy. European Urology 52(6), 1663–1669 [PubMed: 17240041]

  • Oberlin D T, Casalino D D, Miller F H, Matulewicz R S, Perry K T, Nadler R B, Kundu S, Catalona W J, and Meeks J J (2016) Diagnostic Value of Guided Biopsies: Fusion and Cognitive-registration Magnetic Resonance Imaging Versus Conventional Ultrasound Biopsy of the Prostate. Urology 92, 75–79 [PMC free article: PMC4882086] [PubMed: 26966043]

  • Ong W L, Weerakoon M, Huang S, Paul E, Lawrentschuk N, Frydenberg M, Moon D, Murphy D, and Grummet J (2015) Transperineal biopsy prostate cancer detection in first biopsy and repeat biopsy after negative transrectal ultrasound-guided biopsy: The Victorian Transperineal Biopsy Collaboration experience. BJU International 116(4), 568–576 [PubMed: 25560926]

  • Orczyk C, Peng Hu Y, Gibson E, El-Shater Bosaily A, Kirkham A, Punwani S, Brown L, Bonmati E, Coraco-Moraes Y, Ward K, Kaplan R, Barratt D, Emberton M, and Ahmed Hu (2017) Should we aim for the centre of an MRI prostate lesion? Correlation between MP-MRI and 3-dimensional 5mm transperineal prostate mapping biopsies from the promis trial. Journal of urology. Conference: 112th annual meeting of the american urological association, and AUA 2017. United states 197(4 Supplement 1), e486

  • Pal R P, Elmussareh M, Chanawani M, and Khan M A (2012) The role of a standardized 36 core template-assisted transperineal prostate biopsy technique in patients with previously negative transrectal ultrasonography-guided prostate biopsies. BJU International 109(3), 367–371 [PubMed: 21883818]

  • Pepe P, and Aragona F (2011) Does an inflammatory pattern at primary biopsy suggest a lower risk for prostate cancer at repeated saturation prostate biopsy?. Urologia Internationalis 87(2), 171–174 [PubMed: 21778685]

  • Pepe P, Pennisi M, and Fraggetta F (2015) Anterior prostate biopsy at initial and repeat evaluation: is it useful to detect significant prostate cancer?. International braz j urol : official journal of the Brazilian Society of Urology 41(5), 844–848 [PMC free article: PMC4756960] [PubMed: 26689509]

  • Pepe P, Garufi A, Priolo G, and Pennisi M (2015) Can 3-tesla pelvic phased-array multiparametric MRI avoid unnecessary repeat prostate biopsy in patients with PSA < 10 ng/mL?. Clinical Genitourinary Cancer 13(1), e27–e30 [PubMed: 25081324]

  • Pepe P, Garufi A, Priolo G, and Pennisi M (2016) Can MRI/TRUS fusion targeted biopsy replace saturation prostate biopsy in the re-evaluation of men in active surveillance?. World journal of urology 34(9), 1249–1253 [PubMed: 26699628]

  • Pepe Pietro, Cimino Sebastiano, Garufi Antonio, Priolo Giandomenico, Russo Giorgio Ivan, Giardina Raimondo, Reale Giulio, Barbera Michele, Panella Paolo, Pennisi Michele, and Morgia Giuseppe (2016) Detection rate for significant cancer at confirmatory biopsy in men enrolled in Active Surveillance protocol: 20 cores vs 30 cores vs MRI/TRUS fusion prostate biopsy. Archivio italiano di urologia, and andrologia : organo ufficiale [di] Societa italiana di ecografia urologica e nefrologica 88(4), 300–303 [PubMed: 28073197]

  • Pepe P, Cimino S, Garufi A, Priolo G, Russo G I, Giardina R, Reale G, Pennisi M, and Morgia G (2017) Confirmatory biopsy of men under active surveillance: extended versus saturation versus multiparametric magnetic resonance imaging/transrectal ultrasound fusion prostate biopsy. Scandinavian Journal of Urology 51(4), 260–263 [PubMed: 28513296]

  • Pepe P, Garufi A, Priolo G, and Pennisi M (2017) Transperineal Versus Transrectal MRI/TRUS Fusion Targeted Biopsy: Detection Rate of Clinically Significant Prostate Cancer. Clinical Genitourinary Cancer 15(1), e33–e36 [PubMed: 27530436]

  • Pepe P, Garufi A, Priolo G D, and Pennisi M (2017) Multiparametric MRI/TRUS fusion prostate biopsy: Advantages of a transperineal approach. Anticancer Research 37(6), 3291–3294 [PubMed: 28551679]

  • Pessoa R R, Viana P C, Mattedi R L, Guglielmetti G B, Cordeiro M D, Coelho R F, Nahas W C, and Srougi M (2017) Value of 3-Tesla multiparametric magnetic resonance imaging and targeted biopsy for improved risk stratification in patients considered for active surveillance. BJU International 119(4), 535–542 [PubMed: 27500389]

  • Pokharel S S, Patel N U, Garg K, La Rosa, F G, Arangua P, Jones C, and Crawford E D (2014) Multi-parametric MRI findings of transitional zone prostate cancers: correlation with 3-dimensional transperineal mapping biopsy. Abdominal Imaging, [PubMed: 25038718]

  • Raber M, Scattoni V, Gallina A, Freschi M, De Almeyda, E P, Girolamo V D, Montorsi F, and Rigatti P (2012) Does the transrectal ultrasound probe influence prostate cancer detection in patients undergoing an extended prostate biopsy scheme? Results of a large retrospective study. BJU International 109(5), 672–677 [PubMed: 21871054]

  • Radtke J P, Kuru T H, Boxler S, Alt C D, Popeneciu I V, Huettenbrink C, Klein T, Steinemann S, Bergstraesser C, Roethke M, Roth W, Schlemmer H P, Hohenfellner M, and Hadaschik B A (2015) Comparative Analysis of Transperineal Template Saturation Prostate Biopsy Versus Magnetic Resonance Imaging Targeted Biopsy with Magnetic Resonance Imaging-Ultrasound Fusion Guidance. Journal of Urology 193(1), 87–94 [PubMed: 25079939]

  • Radtke Jan P, Kuru Timur H, Boxler Silvan, Alt Celine D, Popeneciu Ionel V, Huettenbrink Clemens, Klein Tilman, Steinemann Sarah, Bergstraesser Claudia, Roethke Matthias, Roth Wilfried, Schlemmer Heinz-Peter, Hohenfellner Markus, and Hadaschik Boris A (2015) Comparative analysis of transperineal template saturation prostate biopsy versus magnetic resonance imaging targeted biopsy with magnetic resonance imaging-ultrasound fusion guidance. The Journal of urology 193(1), 87–94 [PubMed: 25079939]

  • Reis Leonardo O, Sanches Brunno C. F, de Mendonca, Gustavo Borges, Silva Daniel M, Aguiar Tiago, Menezes Ocivaldo P, and Billis Athanase (2015) Gleason underestimation is predicted by prostate biopsy core length. World journal of urology 33(6), 821–6 [PubMed: 25084976]

  • Robertson N L, Hu Y, Ahmed H U, Freeman A, Barratt D, and Emberton M (2014) Prostate cancer risk inflation as a consequence of image-targeted biopsy of the prostate: A computer simulation study. European Urology 65(3), 628–634 [PMC free article: PMC3925797] [PubMed: 23312572]

  • Russo F, Regge D, Armando E, Giannini V, Vignati A, Mazzetti S, Manfredi M, Bollito E, Correale L, and Porpiglia F (2015) Detection of prostate cancer index lesions with multiparametric magnetic resonance imaging (mp-MRI) using whole-mount histological sections as the reference standard. BJU International, [PubMed: 26198404]

  • Salami S S, Vira M A, Turkbey B, Fakhoury M, Yaskiv O, Villani R, Ben-Levi E, and Rastinehad A R (2014) Multiparametric magnetic resonance imaging outperforms the prostate cancer prevention trial risk calculator in predicting clinically significant prostate cancer. Cancer 120(18), 2876–2882 [PubMed: 24917122]

  • Scheltema M J, Chang J I, van den Bos, W, Bohm M, Delprado W, Gielchinsky I, de Reijke, T M, de la Rosette, J J, Siriwardana A R, Shnier R, and Stricker P D (2017) Preliminary Diagnostic Accuracy of Multiparametric Magnetic Resonance Imaging to Detect Residual Prostate Cancer Following Focal Therapy with Irreversible Electroporation. European Urology Focus, [PubMed: 29102671]

  • Schimmoller L, Blondin D, Arsov C, Rabenalt R, Albers P, Antoch G, and Quentin M (2016) MRI-guided in-bore biopsy: Differences between prostate cancer detection and localization in primary and secondary biopsy settings. American Journal of Roentgenology 206(1), 92–99 [PubMed: 26700339]

  • Schimmoller L, Quentin M, Blondin D, Dietzel F, Hiester A, Schleich C, Thomas C, Rabenalt R, Gabbert H E, Albers P, Antoch G, and Arsov C (2016) Targeted MRI-guided prostate biopsy: are two biopsy cores per MRI-lesion required?. European Radiology 26(11), 3858–3864 [PubMed: 26920391]

  • Schoots I G, Roobol M J, Nieboer D, Bangma C H, Steyerberg E W, and Hunink M G. M (2015) Magnetic Resonance Imaging-targeted Biopsy May Enhance the Diagnostic Accuracy of Significant Prostate Cancer Detection Compared to Standard Transrectal Ultrasound-guided Biopsy: A Systematic Review and Meta-analysis. European Urology 68(3), 438–450 [PubMed: 25480312]

  • Scott S, Samaratunga H, Chabert C, Breckenridge M, and Gianduzzo T (2015) Is transperineal prostate biopsy more accurate than transrectal biopsy in determining final Gleason score and clinical risk category? A comparative analysis. BJU International 116(Supplement 3), 26–30 [PubMed: 26260531]

  • Sheikh N, Wei C, Szewczyk-Bieda M, Campbell A, Memon S, Lang S, and Nabi G (2017) Combined T2 and diffusion-weighted MR imaging with template prostate biopsies in men suspected with prostate cancer but negative transrectal ultrasound-guided biopsies. World journal of urology 35(2), 213–220 [PMC free article: PMC5272897] [PubMed: 27236302]

  • Shen P F, Zhu Y C, Wei W R, Li Y Z, Yang J, Li Y T, Li D M, Wang J, and Zeng H (2012) The results of transperineal versus transrectal prostate biopsy: A systematic review and meta-analysis. Asian Journal of Andrology 14(2), 310–315 [PMC free article: PMC3735101] [PubMed: 22101942]

  • Shin T, Smyth T B, Ukimura O, Ahmadi N, de Castro Abreu, A L, Ohe C, Oishi M, Mimata H, and Gill I S (2018) Diagnostic accuracy of a five-point Likert scoring system for magnetic resonance imaging (MRI) evaluated according to results of MRI/ultrasonography image-fusion targeted biopsy of the prostate. BJU International 121(1), 77–83 [PMC free article: PMC6192038] [PubMed: 28749070]

  • Shoji S, Hiraiwa S, Endo J, Hashida K, Tomonaga T, Nakano M, Sugiyama T, Tajiri T, Terachi T, and Uchida T (2015) Manually controlled targeted prostate biopsy with real-time fusion imaging of multiparametric magnetic resonance imaging and transrectal ultrasound: An early experience. International Journal of Urology 22(2), 173–178 [PubMed: 25316213]

  • Shoji S, Hiraiwa S, Ogawa T, Kawakami M, Nakano M, Hashida K, Sato Y, Hasebe T, Uchida T, and Tajiri T (2017) Accuracy of real-time magnetic resonance imaging-transrectal ultrasound fusion image-guided transperineal target biopsy with needle tracking with a mechanical position-encoded stepper in detecting significant prostate cancer in biopsy-naive men. International Journal of Urology 24(4), 288–294 [PubMed: 28222486]

  • Shukla-Dave A, and Hricak H (2014) Role of MRI in prostate cancer detection. NMR in Biomedicine 27(1), 16–24 [PubMed: 23495081]

  • Sim J, Schieda N, Robertson Sj, Breau Rh, Morash C, Belanger Ec, and Flood Ta (2017) Evaluation of tumor morphologies at radical prostatectomy in high risk gleason score >9 prostate cancer diagnosed at trus-guided biopsy. Laboratory investigation. Conference: 106th annual meeting of the united states and canadian academy of pathology, and USCAP 2017. United states 97, 260a

  • Simmons Lam, Kanthabalan A, Arya M, Briggs T, Barratt D, Charman Sc, Freeman A, Gelister J, Hawkes D, Hu Y, Jameson C, McCartan N, Moore Cm, Punwani S, Ramachandran N, Meulen J, Emberton M, and Ahmed Hu (2017) The PICTURE study: diagnostic accuracy of multiparametric MRI in men requiring a repeat prostate biopsy. British journal of cancer (no pagination), [PMC free article: PMC5418442] [PubMed: 28350785]

  • Sivaraman A, Sanchez-Salas R, Ahmed H U, Barret E, Cathala N, Mombet A, Uriburu Pizarro, F, Carneiro A, Doizi S, Galiano M, Rozet F, Prapotnich D, and Cathelineau X (2015) Clinical utility of transperineal template-guided mapping biopsy of the prostate after negative magnetic resonance imaging-guided transrectal biopsy. Urologic Oncology: Seminars and Original Investigations 33(7), 329 [PubMed: 25957713]

  • Taira A V, Merrick G S, Bennett A, Andreini H, Taubenslag W, Galbreath R W, Butler W M, Bittner N, and Adamovich E (2013) Transperineal template-guided mapping biopsy as a staging procedure to select patients best suited for active surveillance. American Journal of Clinical Oncology: Cancer Clinical Trials 36(2), 116–120 [PubMed: 22307210]

  • Takuma K, Mikio S, Masashi I, Nobufumi U, Hiromi H, Yushi H, and Yoshiyuki K (2012) Transperineal ultrasound-guided multiple core biopsy using template for patients with one or more previous negative biopsies: comparison with systematic 10-core biopsy. Urology 80(3 suppl. 1), S306–s307

  • Taneja Samir S (2017) Re: Diagnostic Accuracy of Multi-Parametric MRI and TRUS Biopsy in Prostate Cancer (PROMIS): A Paired Validating Confirmatory Study. The Journal of urology 198(1), 101–102 [PubMed: 28618668]

  • Tay Kae Jack, Cheng Christopher W. S, Lau Weber K. O, Khoo James, Thng Choon Hua, and Kwek Jin Wei (2017) Focal Therapy for Prostate Cancer with In-Bore MR-guided Focused Ultrasound: Two-Year Follow-up of a Phase I Trial-Complications and Functional Outcomes. Radiology 285(2), 620–628 [PubMed: 28654336]

  • Taymoorian K, Thomas A, Slowinski T, Khiabanchian M, Stephan C, Lein M, Deger S, Lenk S, Loening S A, and Fischer T (2007) Transrectal broadband-Doppler sonography with intravenous contrast medium administration for prostate imaging and biopsy in men with an elevated PSA value and previous negative biopsies. Anticancer Research 27(6 C), 4315–4320 [PubMed: 18214038]

  • Tewes Susanne, Peters Inga, Tiemeyer Ansgar, Peperhove Matti, Hartung Dagmar, Pertschy Stefanie, Kuczyk Markus A, Wacker Frank, and Hueper Katja (2017) Evaluation of MRI/Ultrasound Fusion-Guided Prostate Biopsy Using Transrectal and Transperineal Approaches. BioMed research international 2017, 2176471 [PMC free article: PMC5637860] [PubMed: 29094042]

  • Thestrup Karen Cecilie Duus, Logager Vibeke, Baslev Ingerd, Moller Jakob M, Hansen Rasmus Hvass, and Thomsen Henrik S (2016) Biparametric versus multiparametric MRI in the diagnosis of prostate cancer. Acta radiologica open 5(8), 2058460116663046 [PMC free article: PMC4990814] [PubMed: 27583170]

  • Thompson J E, Moses D, Shnier R, Brenner P, Delprado W, Ponsky L, Pulbrook M, Bohm M, Haynes A M, Hayen A, and Stricker P D (2014) Multiparametric magnetic resonance imaging guided diagnostic biopsy detects significant prostate cancer and could reduce unnecessary biopsies and over detection: A prospective study. Journal of Urology 192(1), 67–74 [PubMed: 24518762]

  • Thompson J, Shnier R, Moses D, Brenner P, Delprado W, Tran M, Ponsky L, Boehm M, Hayen A, and Stricker P (2015) Prospective study of pre-biopsy multiparametric magnetic resonance imaging (MP-MRI) compared to transperineal template mapping biopsy (TTMB) for detection of clinically significant prostate cancer: is it accurate enough to guide selection of men for biopsy?. Journal of urology. 193(4 suppl. 1), e959

  • Thompson J E, Hayen A, Landau A, Haynes A M, Kalapara A, Ischia J, Matthews J, Frydenberg M, and Stricker P D (2015) Medium-term oncological outcomes for extended vs saturation biopsy and transrectal vs transperineal biopsy in active surveillance for prostate cancer. BJU International 115(6), 884–891 [PubMed: 24989062]

  • Thompson J E, Van Leeuwen, P J, Moses D, Shnier R, Brenner P, Delprado W, Pulbrook M, Bohm M, Haynes A M, Hayen A, and Stricker P D (2016) The diagnostic performance of multiparametric magnetic resonance imaging to detect significant prostate cancer. Journal of Urology 195(5), 1428–1435 [PubMed: 26529298]

  • Thompson J E, and Stricker P D (2017) Diagnostic accuracy of multi-parametric MRI and transrectal ultrasound-guided biopsy in prostate cancer. The Lancet 389(10071), 767–768 [PubMed: 28126331]

  • Ting F, Van Leeuwen, P J, Thompson J, Shnier R, Moses D, Delprado W, and Stricker P D (2016) Assessment of the Performance of Magnetic Resonance Imaging/Ultrasound Fusion Guided Prostate Biopsy against a Combined Targeted Plus Systematic Biopsy Approach Using 24-Core Transperineal Template Saturation Mapping Prostate Biopsy. Prostate Cancer 2016, 3794738 [PMC free article: PMC4884827] [PubMed: 27293898]

  • Toner L, Weerakoon M, Bolton D M, Ryan A, Katelaris N, and Lawrentschuk N (2015) Magnetic resonance imaging for prostate cancer: Comparative studies including radical prostatectomy specimens and template transperineal biopsy. Prostate International 3(4), 107–114 [PMC free article: PMC4685231] [PubMed: 26779455]

  • Tonttila Pp, Lantto J, Pääkkö E, Piippo U, Kauppila S, Lammentausta E, Ohtonen P, and Vaarala Mh (2016) Prebiopsy Multiparametric Magnetic Resonance Imaging for Prostate Cancer Diagnosis in Biopsy-naive Men with Suspected Prostate Cancer Based on Elevated Prostate-specific Antigen Values: results from a Randomized Prospective Blinded Controlled Trial. European urology 69(3), 419–425 [PubMed: 26033153]

  • Tsivian M, Gupta R T, Tsivian E, Qi P, Mendez M H, Abern M R, Tay K J, and Polascik T J (2017) Assessing clinically significant prostate cancer: Diagnostic properties of multiparametric magnetic resonance imaging compared to three-dimensional transperineal template mapping histopathology. International Journal of Urology 24(2), 137–143 [PubMed: 27859637]

  • Tran G N, Leapman M S, Nguyen H G, Cowan J E, Shinohara K, Westphalen A C, and Carroll P R (2017) Magnetic Resonance Imaging-Ultrasound Fusion Biopsy During Prostate Cancer Active Surveillance. European Urology 72(2), 275–281 [PubMed: 27595378]

  • Valerio M, McCartan N, Freeman A, Punwani S, Emberton M, and Ahmed H U (2015) Visually directed vs. software-based targeted biopsy compared to transperineal template mapping biopsy in the detection of clinically significant prostate cancer. Urologic Oncology: Seminars and Original Investigations 33(10), 424 [PubMed: 26195330]

  • Van Vugt, H A, Kranse R, Steyerberg E W, Van Der Poel, H G, Busstra M, Kil P, Oomens E H, De Jong, I J, Bangma C H, and Roobol M J (2012) Prospective validation of a risk calculator which calculates the probability of a positive prostate biopsy in a contemporary clinical cohort. European Journal of Cancer 48(12), 1809–1815 [PubMed: 22406050]

  • Volkin D, Turkbey B, Hoang A N, Rais-Bahrami S, Yerram N, Walton-Diaz A, Nix J W, Wood B J, Choyke P L, and Pinto P A (2014) Multiparametric magnetic resonance imaging (MRI) and subsequent MRI/ultrasonography fusion-guided biopsy increase the detection of anteriorly located prostate cancers. BJU International 114(6), E43–E49 [PMC free article: PMC5613950] [PubMed: 24712649]

  • Walton Diaz, A, Shakir N A, George A K, Rais-Bahrami S, Turkbey B, Rothwax J T, Stamatakis L, Hong C W, Siddiqui M M, Okoro C, Raskolnikov D, Su D, Shih J, Han H, Parnes H L, Merino M J, Simon R M, Wood B J, Choyke P L, and Pinto P A (2015) Use of serial multiparametric magnetic resonance imaging in the management of patients with prostate cancer on active surveillance. Urologic Oncology: Seminars and Original Investigations 33(5), 202e1–202e7 [PMC free article: PMC6663486] [PubMed: 25754621]

  • Wang R, Wang H, Zhao C, Hu J, Jiang Y, Tong Y, Liu T, Huang R, and Wang X (2015) Evaluation of multiparametric magnetic resonance imaging in detection and prediction of prostate cancer. PLoS ONE 10(6), e0130207 [PMC free article: PMC4466371] [PubMed: 26067423]

  • Wang Z, Schaefferkoetter J, Kok T, Stephenson M, Schneider E, Niaf E, Totman J, Townsend D, Thamboo T, and Chiong E (2017) Primary prostate cancer imaging with MP-MRI, PET/CT and PET/MRI with focus on localisation and grading. BJU international. Conference: individualised urological treatment, and UROFAIR 2017. Singapore 119, 4

  • Weaver J K, Kim E H, Vetter J M, Fowler K J, Siegel C L, and Andriole G L (2016) Presence of magnetic resonance imaging suspicious lesion predicts gleason 7 or greater prostate cancer in biopsy-naive patients. Urology 88, 119–124 [PubMed: 26545849]

  • Wegelin Olivier, Henken Kirsten R, Somford Diederik M, Breuking Frans A. M, Bosch Ruud J, van Swol, Christiaan F P, van Melick, and Harm H E (2016) An Ex Vivo Phantom Validation Study of an MRI-Transrectal Ultrasound Fusion Device for Targeted Prostate Biopsy. Journal of endourology 30(6), 685–91 [PubMed: 26886510]

  • Westhoff N, Siegel F P, Hausmann D, Polednik M, von Hardenberg, J, Michel M S, and Ritter M (2017) Precision of MRI/ultrasound-fusion biopsy in prostate cancer diagnosis: an ex vivo comparison of alternative biopsy techniques on prostate phantoms. World journal of urology 35(7), 1015–1022 [PubMed: 27830373]

  • Winter M, Garcia C, Bergersen P, Woo H, and Chalasani V (2013) A systematic review with metaanalysis of transrectal prostate biopsy versus transperineal prostate biopsy for detecting prostate cancer. BJU international. 112, 22

  • Wu L M, Yao Q Y, Zhu J, Lu Q, Suo S T, Liu Q, Xu J R, Chen X X, Haacke E M, and Hu J (2017) T2* mapping combined with conventional T2-weighted image for prostate cancer detection at 3.0T MRI: A multi-observer study. Acta Radiologica 58(1), 114–120 [PubMed: 26917785]

  • Wysock Js, Rosenkrantz Ab, Huang Wc, Stifelman Md, Lepor H, Deng Fm, Melamed J, and Taneja Ss (2014) A prospective, blinded comparison of magnetic resonance (MR) imaging-ultrasound fusion and visual estimation in the performance of MR-targeted prostate biopsy: the PROFUS trial. European urology 66(2), 343–351 [PubMed: 24262102]

  • Yaxley A J, Yaxley J W, Thangasamy I A, Ballard E, and Pokorny M R (2017) Comparison between target magnetic resonance imaging (MRI) in-gantry and cognitively directed transperineal or transrectal-guided prostate biopsies for Prostate Imaging-Reporting and Data System (PI-RADS) 3-5 MRI lesions. BJU International 120(Supplement 3), 43–50 [PubMed: 28749035]

  • Yoo Sangjun, Hong Jun Hyuk, Byun Seok-Soo, Lee Ji Youl, Chung Byung Ha, and Kim Choung-Soo (2017) Is suspicious upstaging on multiparametric magnetic resonance imaging useful in improving the reliability of Prostate Cancer Research International Active Surveillance (PRIAS) criteria? Use of the K-CaP registry. Urologic oncology 35(7), 459.e7–459.e13 [PubMed: 28476529]

  • Zhang Q, Wang W, Yang R, Zhang G, Zhang B, Li W, Huang H, and Guo H (2015) Free-hand transperineal targeted prostate biopsy with real-time fusion imaging of multiparametric magnetic resonance imaging and transrectal ultrasound: single-center experience in China. International Urology and Nephrology, [PubMed: 25820744]

  • Zhang Q, Wang W, Zhang B, Shi J, Fu Y, Li D, Guo S, Zhang S, Huang H, Jiang X, Zhou W, and Guo H (2017) Comparison of free-hand transperineal MP-MRI/TRUS fusion-guided biopsy with transperineal 12-core systematic biopsy for the diagnosis of prostate cancer: a single-center prospective study in China. International Urology and Nephrology 49(3), 439–448 [PubMed: 28005230]

Clinical studies – excluded – randomised control studies

  • Arsov C, Hiester A, Schimmoller L, Quentin M, Blondin D, Godehardt E, Antoch G, Albers P, and Rabenalt R (2015) A prospective randomized study comparing MR-guided in-bore versus MRI/ultrasound fusionguided prostate biopsy in patients with prior tumor-negative TRUS biopsy. European urology, and supplements. 14(2), e761

  • Arsov C, Rabenalt R, Blondin D, Quentin M, Hiester A, Godehardt E, Gabbert He, Becker N, Antoch G, Albers P, and Schimmöller L (2015) Prospective randomized trial comparing magnetic resonance imaging (MRI)-guided in-bore biopsy to MRI-ultrasound fusion and transrectal ultrasound-guided prostate biopsy in patients with prior negative biopsies. European urology 68(4), 713–720 [PubMed: 26116294]

  • Arsov Christian, Rabenalt Robert, Quentin Michael, Hiester Andreas, Blondin Dirk, Albers Peter, Antoch Gerald, and Schimmoller Lars (2016) Comparison of patient comfort between MR-guided in-bore and MRI/ultrasound fusion-guided prostate biopsies within a prospective randomized trial. World journal of urology 34(2), 215–20 [PubMed: 26055645]

  • Baco E, Rud E, Eri Lm, Moen G, Vlatkovic L, Svindland A, Eggesbo Hb, and Ukimura O (2016) A Randomized Controlled Trial to Assess and Compare the Outcomes of Two-core Prostate Biopsy Guided by Fused Magnetic Resonance and Transrectal Ultrasound Images and Traditional 12-core Systematic Biopsy. European urology 69(1), 149–156 [PubMed: 25862143]

  • Baur Alexander D. J, Henkel Thomas, Johannsen Manfred, Speck Thomas, Weisbach Lothar, Hamm Bernd, and Konig Frank (2017) A prospective study investigating the impact of multiparametric MRI in biopsy-naive patients with clinically suspected prostate cancer: The PROKOMB study. Contemporary clinical trials 56, 46–51 [PubMed: 28279782]

  • Cam Kamil, Sener Murat, Kayikci Ali, Akman Yavuz, and Erol Ali (2008) Combined periprostatic and intraprostatic local anesthesia for prostate biopsy: a double-blind, placebo controlled, randomized trial. The Journal of urology 180(1), 141–5 [PubMed: 18485414]

  • Chae Y, Kim Y-J, Kim T, Yun Sj, Lee S-C, and Kim W-J (2009) The comparison between transperineal and transrectal ultrasound-guided prostate needle biopsy. Korean journal of urology 50(2), 119–124

  • Choi Hy, Park Jw, Park Sy, Lee Hm, Jeon Ss, Seo Si, and Park Bk (2011) Prospective evaluation of 3T magnetic resonance imaging performed prior to an initial transrectal ultrasound-guided biopsy in the detection of prostate cancer. International journal of urology 18(5), 398–399

  • Cicione Antonio, Cantiello Francesco, De Nunzio, Cosimo, Tubaro Andrea, and Damiano Rocco (2012) Prostate biopsy quality is independent of needle size: a randomized single-center prospective study. Urologia internationalis 89(1), 57–60 [PubMed: 22738882]

  • Davuluri Meena, and Loeb Stacy (2015) The Comparison of Magnetic Resonance Image-Guided Targeted Biopsy Versus Standard Template Saturation Biopsy in the Detection of Prostate Cancer. Reviews in urology 17(2), 110–1 [PMC free article: PMC4857905] [PubMed: 27222650]

  • Dell’Oglio P, Stabile A, Gandaglia G, Brembilla G, Maga T, Cristel G, Kinzikeeva E, Losa A, Esposito A, Cardone G, Cobelli F, Maschio A, Gaboardi F, Montorsi F, and Briganti A (2017) Inclusion of mpMRI into the European Randomized study of Screening for Prostate Cancer (ERSPC) risk calculator: a new proposal to improve the accuracy of prostate cancer detection. European urology, supplements. Conference: 32nd annual european association of urology congress, and EAU 2017. United kingdom 16(3), e420–e421

  • (2016) Diagnostic performance of power doppler and ultrasound contrast agents in early imaging-based diagnosis of organ-confined prostate cancer: is it possible to spare cores with contrast-guided biopsy?. European journal of radiology 85(10), 1778–1785 [PubMed: 27666616]

  • (2015) Diagnostic Yield and Complications Using a 20 Gauge Prostate Biopsy Needle versus a Standard 18 Gauge Needle: a Randomized Controlled Study. Urology journal. 12 (5) (pp 2329–2333), and 2015. Date of publication: 01 sep 2015., [PubMed: 26571315]

  • DiBianco J M, Mullins J K, and Allaway M (2016) Ultrasound Guided, Freehand Transperineal Prostate Biopsy: An Alternative to the Transrectal Approach. Urology Practice 3(2), 134–140

  • Fiard G, Hohn N, Descotes Jl, Rambeaud Jj, Troccaz J, and Long Ja (2013) Targeted MRI-guided prostate biopsies for the detection of prostate cancer: initial clinical experience with real-time 3-dimensional transrectal ultrasound guidance and magnetic resonance/transrectal ultrasound image fusion. Urology 81(6), 1372–1378 [PubMed: 23540865]

  • Garcia C, Winter M, Bergersen P, Woo H, and Chalasani V (2016) Transperineal versus transrectal prostate biopsy in prostate cancer detection: a systematic review with meta-analysis. BJU international. 117, 38

  • Garcia C, Winter M, Bergersen P, Woo H, and Chalasani V (2016) Does transperineal prostate biopsy reduce complications compared with transrectal biopsy? A systematic review and metaanalysis of randomised controlled trials. BJU international. 117, 68–69

  • Gayet Maudy, van der Aa, Anouk, Beerlage Harrie P, Schrier Bart Ph, Mulders Peter F. A, and Wijkstra Hessel (2016) The value of magnetic resonance imaging and ultrasonography (MRI/US)-fusion biopsy platforms in prostate cancer detection: a systematic review. BJU international 117(3), 392–400 [PubMed: 26237632]

  • Grenabo Bergdahl A, Wilderäng U, Aus G, Carlsson S, Damber Je, Frånlund M, Geterud K, Khatami A, Socratous A, Stranne J, Hellström M, and Hugosson J (2016) Role of Magnetic Resonance Imaging in Prostate Cancer Screening: a Pilot Study Within the Göteborg Randomised Screening Trial. European urology 70(4), 566–573 [PMC free article: PMC4958033] [PubMed: 26724840]

  • Grummet Jeremy, Pepdjonovic Lana, Huang Sean, Anderson Elliot, and Hadaschik Boris (2017) Transperineal vs. transrectal biopsy in MRI targeting. Translational andrology and urology 6(3), 368–375 [PMC free article: PMC5503965] [PubMed: 28725578]

  • Guo Lh, Wu R, Xu Hx, Xu Jm, Wu J, Wang S, Bo Xw, and Liu Bj (2015) Comparison between Ultrasound Guided Transperineal and Transrectal Prostate Biopsy: a Prospective, Randomized, and Controlled Trial. Scientific reports 5, 16089 [PMC free article: PMC4630643] [PubMed: 26526558]

  • Guo Le-Hang, Wu Rong, Xu Hui-Xiong, Xu Jun-Mei, Wu Jian, Wang Shuai, Bo Xiao-Wan, and Liu Bo-Ji (2015) Comparison between Ultrasound Guided Transperineal and Transrectal Prostate Biopsy: A Prospective, Randomized, and Controlled Trial. Scientific reports 5, 16089 [PMC free article: PMC4630643] [PubMed: 26526558]

  • Halpern Ej, Gomella Lg, Forsberg F, McCue Pa, and Trabulsi Ej (2012) Contrast enhanced transrectal ultrasound for the detection of prostate cancer: a randomized, double-blind trial of dutasteride pretreatment. Journal of urology 188(5), 1739–1745 [PMC free article: PMC5942221] [PubMed: 22998915]

  • Hara Ryoei, Jo Yoshimasa, Fujii Tomohiro, Kondo Norio, Yokoyoma Teruhiko, Miyaji Yoshiyuki, and Nagai Atsushi (2008) Optimal approach for prostate cancer detection as initial biopsy: prospective randomized study comparing transperineal versus transrectal systematic 12-core biopsy. Urology 71(2), 191–5 [PubMed: 18308081]

  • Hove A, Savoie Ph, Maurin C, Brunelle S, Gravis G, Salem N, and Walz J (2014) Comparison of image-guided targeted biopsies versus systematic randomized biopsies in the detection of prostate cancer: a systematic literature review of well-designed studies (Provisional abstract). Database of Abstracts of Reviews of Effects (2), 847–858 [PubMed: 24919965]

  • Kasivisvanathan V, Arya M, Ahmed Hu, Moore Cm, and Emberton M (2015) A randomized controlled trial to investigate magnetic resonance imaging-targeted biopsy as an alternative diagnostic strategy to transrectal ultrasound-guided prostate biopsy in the diagnosis of prostate cancer. Urologic oncology: seminars and original investigations 33(3), 156–157 [PubMed: 25573054]

  • Kasivisvanathan V, Jichi F, Klotz L, Villers A, Taneja Ss, Punwani S, Freeman A, Emberton M, and Moore Cm (2017) A multicentre randomised controlled trial assessing whether MRI-targeted biopsy is non-inferior to standard transrectal ultrasound guided biopsy for the diagnosis of clinically significant prostate cancer in men without prior biopsy: a study protocol. BMJ open 7(10) (no pagination), [PMC free article: PMC5706484] [PubMed: 29025845]

  • Klotz Lh, Loblaw A, Chin J, Fleshner Ne, Kebabdjian M, Pond G, and Haider M (2017) Magnetic resonance imaging-targeted vs. systematic biopsies in men on active surveillance: results of a prospective, randomized Canadian Urology Research Consortium trial. Canadian urological association journal. Conference: 72nd annual meeting of the canadian urological association. Canada 11(6 Supplement 4), S173

  • Leitao T, Rodrigues T, Soares C, Silva R, Garcia R, Martinho D, Romao A, Sandul A, Mendonca T, Pereira S, Varela J, and Lopes T (2011) A prospective randomized trial of prostate biopsy protocols comparing the vienna nomogram and a standard 10-core biopsy scheme. Urology. 78(3 suppl. 1), S302

  • Leitao Tito Palmela, Alfarelos Joana, Rodrigues Teresa, Pereira E Silva, Ricardo, Garcia Rodrigo Miguel, Martinho David, Sandul Anatoliy, Mendonca Tiago, Pereira Sergio, and Lopes Tome Matos (2017) A Prospective Randomized Trial Comparing the Vienna Nomogram and a Ten-Core Prostate Biopsy Protocol: Effect on Cancer Detection Rate. Clinical genitourinary cancer 15(1), 117–121 [PubMed: 27436153]

  • Lenherr O, Fayyazi A, Lahme S, and Liske P (2013) Real-time-elastography (RTE): its detection rate compared to multiple core biopsy and an evaluation of psa and prostate volume as predictors. Journal of urology. 189(4 suppl. 1), e904

  • Mitterberger M, Horninger W, Pelzer A, Strasser H, Bartsch G, Moser P, Halpern Ej, Gradl J, Aigner F, Pallwein L, and Frauscher F (2007) A prospective randomized trial comparing contrast-enhanced targeted versus systematic ultrasound guided biopsies: impact on prostate cancer detection. Prostate 67(14), 1537–1542 [PubMed: 17705242]

  • Panebianco V, Sciarra A, Ciccariello M, Lisi D, Bernardo S, Cattarino S, Gentile V, and Passariello R (2010) Role of magnetic resonance spectroscopic imaging ([1H]MRSI) and dynamic contrast-enhanced MRI (DCE-MRI) in identifying prostate cancer foci in patients with negative biopsy and high levels of prostate-specific antigen (PSA). La Radiologia medica 115(8), 1314–29 [PubMed: 20852963]

  • Panebianco V, Barchetti F, Sciarra A, Ciardi A, Indino El, Papalia R, Gallucci M, Tombolini V, Gentile V, and Catalano C (2015) Multiparametric magnetic resonance imaging vs. standard care in men being evaluated for prostate cancer: a randomized study. Urologic oncology 33(1), 17.e1–17.e7 [PubMed: 25443268]

  • Park Bk, Park Jw, Park Sy, Kim Ck, Lee Hm, Jeon Ss, Seo Si, Jeong Bc, and Choi Hy (2011) Prospective evaluation of 3-T MRI performed before initial transrectal ultrasound-guided prostate biopsy in patients with high prostate-specific antigen and no previous biopsy. AJR. American journal of roentgenology 197(5), W876–81 [PubMed: 22021535]

  • Park Byung Kwan, Park Jong Wook, Park Seo Yong, Kim Chan Kyo, Lee Hyun Moo, Jeon Seong Soo, Seo Seong Il, Jeong Byong Chang, and Choi Han Yong (2011) Prospective evaluation of 3-T MRI performed before initial transrectal ultrasound-guided prostate biopsy in patients with high prostate-specific antigen and no previous biopsy. AJR. American journal of roentgenology 197(5), W876–81 [PubMed: 22021535]

  • Porpiglia Francesco, Manfredi Matteo, Mele Fabrizio, Cossu Marco, Bollito Enrico, Veltri Andrea, Cirillo Stefano, Regge Daniele, Faletti Riccardo, Passera Roberto, Fiori Cristian, De Luca, and Stefano (2017) Diagnostic Pathway with Multiparametric Magnetic Resonance Imaging Versus Standard Pathway: Results from a Randomized Prospective Study in Biopsy-naive Patients with Suspected Prostate Cancer. European urology 72(2), 282–288 [PubMed: 27574821]

  • Porpiglia F, Mele F, Manfredi M, Luca S, Checcucci E, Bertolo R, Garrou D, Cattaneo G, Amparore D, Bollito E, Russo F, Gned D, Pascale A, Cirillo S, and Fiori C (2017) A prospective randomized study comparing standard prostate biopsy and a new diagnostic path with MRI and fusion biopsy: results after two years. European urology, supplements. Conference: 32nd annual european association of urology congress, and EAU 2017. United kingdom 16(3), e869–e870

  • Sciarra A, Panebianco V, Cattarino S, Busetto Gm, Berardinis E, Ciccariello M, Gentile V, and Salciccia S (2012) Multiparametric magnetic resonance imaging of the prostate can improve the predictive value of the urinary prostate cancer antigen 3 test in patients with elevated prostate-specific antigen levels and a previous negative biopsy. BJU international 110(11), 1661–1665 [PubMed: 22564540]

  • Shah Taimur Tariq, To Wilson King Lim, and Ahmed Hashim Uddin (2017) Magnetic resonance imaging in the early detection of prostate cancer and review of the literature on magnetic resonance imaging-stratified clinical pathways. Expert review of anticancer therapy 17(12), 1159–1168 [PubMed: 28933973]

  • Singh S, Dorairajan Ln, Manikandan R, Sreerag Ks, Sunil K, Kant Du, and Tepukiel Z (2017) Comparison of infective complications in transperineal versus transrectal ultrasound guided prostatic biopsy in patients suspected to have prostate cancer. Indian journal of urology. Conference: 50th annual conference of urological society of india, and USICON 2017. India 33(Supplement 1) (no pagination),

  • Takenaka A, Hara R, Ishimura T, Fujii T, Jo Y, Nagai A, and Fujisawa M (2008) A prospective randomized comparison of diagnostic efficacy between transperineal and transrectal 12-core prostate biopsy. Prostate cancer and prostatic diseases 11(2), 134–8 [PubMed: 17533394]

  • Takuma K, Mikio S, Masashi I, Nobufumi U, Hiromi H, Yushi H, and Yoshiyuki K (2012) Transperineal ultrasound-guided multiple core biopsy using template for patients with one or more previous negative biopsies: comparison with systematic 10-core biopsy. Urology 80(3 suppl. 1), S306–s307

  • Taverna Gianluigi, Bozzini Giorgio, Grizzi Fabio, Seveso Mauro, Mandressi Alberto, Balzarini Luca, Mrakic Federica, Bono Pietro, De Franceco, Oliviero, Buffi NicoloMaria, Lughezzani Giovanni, Lazzeri Massimo, Casale Paolo, and Guazzoni Giorgio Ferruccio (2016) Endorectal multiparametric 3-tesla magnetic resonance imaging associated with systematic cognitive biopsies does not increase prostate cancer detection rate: a randomized prospective trial. World journal of urology 34(6), 797–803 [PubMed: 26481226]

  • Thompson J, Shnier R, Moses D, Brenner P, Delprado W, Tran M, Ponsky L, Boehm M, Hayen A, and Stricker P (2015) Prospective study of pre-biopsy multiparametric magnetic resonance imaging (MPMRI) compared to transperineal template mapping biopsy (TTMB) for detection of clinically significant prostate cancer: is it accurate enough to guide selection of men for biopsy?. Journal of urology. 193(4 suppl. 1), e959

  • Tonttila Pp, Lantto J, Pääkkö E, Piippo U, Kauppila S, Lammentausta E, Ohtonen P, and Vaarala Mh (2016) Prebiopsy Multiparametric Magnetic Resonance Imaging for Prostate Cancer Diagnosis in Biopsy-naive Men with Suspected Prostate Cancer Based on Elevated Prostate-specific Antigen Values: results from a Randomized Prospective Blinded Controlled Trial. European urology 69(3), 419–425 [PubMed: 26033153]

  • van Hove, A, Savoie P H, Maurin C, Brunelle S, Gravis G, Salem N, and Walz J (2014) Comparison of image-guided targeted biopsies versus systematic randomized biopsies in the detection of prostate cancer: a systematic literature review of well-designed studies. World journal of urology 32(4), 847–858 [PubMed: 24919965]

  • Wegelin O, Melick H, Somford D, Bosch R, Kummer A, Vreuls W, and Barentsz J (2016) An interim analysis of the FUTURE trial; A RCT on three techniques of target prostate biopsy based on MR imaging. Comparison of detection rates of (significant) prostate cancer. European urology, and supplements. Conference: 8th european multidisciplinary meeting on urological cancers. Italy 15(13), e1555–e1556

  • Winter M, Garcia C, Bergersen P, Woo H, and Chalasani V (2013) A systematic review with metaanalysis of transrectal prostate biopsy versus transperineal prostate biopsy for detecting prostate cancer. BJU international. 112, 22

  • Xie L-P, Wang X, Zheng X-Y, Liu B, Li J-F, and Wang S (2017) A randomized controlled trial to assess and compare the outcomes of AIUS-CT guided biopsy, transrectal ultrasound guided 12-core systematic biopsy, and mpMRI assisted 12-core systematic biopsy. European urology, supplements. Conference: 32nd annual european association of urology congress, and EAU 2017. United Kingdom 16(3), e865–e866

Economic studies – included

  • Faria R, Soares MO, Spackman E, Ahmed HU, Brown LC, Kaplan R, Emberton M, Sculpher MJ. Optimising the diagnosis of prostate cancer in the era of multiparametric magnetic resonance imaging: a cost-effectiveness analysis based on the Prostate MR Imaging Study (PROMIS). European urology. 2018 Jan 1;73(1):23–30. [PMC free article: PMC5718727] [PubMed: 28935163]

Economic studies – excluded

  • Venderink W, Govers TM, de Rooij M, Fütterer JJ, Sedelaar JM. Cost-effectiveness comparison of imaging-guided prostate biopsy techniques: systematic transrectal ultrasound, direct in-bore MRI, and image fusion. American Journal of Roentgenology. 2017 May;208(5):1058–63. [PubMed: 28225639]

  • Willis SR, van der Meulen J, Valerio M, Miners A, Ahmed HU, Emberton M. A review of economic evaluations of diagnostic strategies using imaging in men at risk of prostate cancer. Current opinion in urology. 2015 Nov 1;25(6):483–9. [PubMed: 26372036]

  • Pahwa S, Schiltz NK, Ponsky LE, Lu Z, Griswold MA, Gulani V. Cost-effectiveness of MR imaging–guided strategies for detection of prostate cancer in biopsy-naive men. Radiology. 2017 May 17;285(1):157–66. [PMC free article: PMC5621719] [PubMed: 28514203]

  • Loeb S, Zhou Q, Siebert U, Rochau U, Jahn B, Mühlberger N, Carter HB, Lepor H, Braithwaite RS. Active surveillance versus watchful waiting for localized prostate cancer: a model to inform decisions. European urology. 2017 Dec 1;72(6):899–907. [PMC free article: PMC5694372] [PubMed: 28844371]

  • Gordon LG, James R, Tuffaha HW, Lowe A, Yaxley J. Cost‐effectiveness analysis of multiparametric MRI with increased active surveillance for low‐risk prostate cancer in Australia. Journal of Magnetic Resonance Imaging. 2017 May 1;45(5):1304–15. [PubMed: 27726240]

  • de Rooij M, Crienen S, Witjes JA, Barentsz JO, Rovers MM, Grutters JP. Cost-effectiveness of magnetic resonance (MR) imaging and MR-guided targeted biopsy versus systematic transrectal ultrasound–guided biopsy in diagnosing prostate cancer: a modelling study from a health care perspective. European urology. 2014 Sep 1;66(3):430–6. [PubMed: 24377803]

  • Cerantola Y, Dragomir A, Tanguay S, Bladou F, Aprikian A, Kassouf W. Cost-effectiveness of multiparametric magnetic resonance imaging and targeted biopsy in diagnosing prostate cancer. InUrologic Oncology: Seminars and Original Investigations 2016 Mar 1 (Vol. 34, No. 3, pp. 119–e1). Elsevier. [PubMed: 26602178]

  • Mowatt G, Scotland G, Boachie C, Cruickshank M, Ford JA, Fraser C, Kurban L, Lam TB, Padhani AR, Royle J, Scheenen TW. The diagnostic accuracy and cost-effectiveness of magnetic resonance spectroscopy and enhanced magnetic resonance imaging techniques in aiding the localisation of prostate abnormalities for biopsy: a systematic review and economic evaluation. Health technology assessment. 2013. [PMC free article: PMC4781459] [PubMed: 23697373]

  • Hövels AM, Heesakkers RA, Adang EM, Barentsz JO, Jager GJ, Severens JL. Cost-effectiveness of MR lymphography for the detection of lymph node metastases in patients with prostate cancer. Radiology. 2009 Sep;252(3):729–36. [PubMed: 19717752]

  • Roth JA, Ramsey SD, Carlson JJ. Cost-effectiveness of a biopsy-based 8-protein prostate cancer prognostic assay to optimize treatment decision making in gleason 3+ 3 and 3+ 4 early stage prostate cancer. The oncologist. 2015 Dec 1;20(12):1355–64. [PMC free article: PMC4679086] [PubMed: 26482553]

  • Nicholson A, Mahon J, Boland A, Beale S, Dwan K, Fleeman N, Hockenhull J, Dundar Y. The clinical effectiveness and cost-effectiveness of the PROGENSA (R) prostate cancer antigen 3 assay and the Prostate Health Index in the diagnosis of prostate cancer: a systematic review and economic evaluation. Health Technol Assess. 2015 Oct 1;19(87):1–92. [PMC free article: PMC4780983] [PubMed: 26507078]

Appendix J. Research Recommendations

Image

Table

Sensitivity Specificity

Image

Table

Sensitivity Specificity

Appendix K. PROMIS economic evaluation presentation

Image chdappkf1
Image chdappkf2
Image chdappkf3
Image chdappkf4
Image chdappkf5
Image chdappkf6
Image chdappkf7
Image chdappkf8
Image chdappkf9
Image chdappkf10
Image chdappkf11
Image chdappkf12
Image chdappkf13
Image chdappkf14
Image chdappkf15
Image chdappkf16
Image chdappkf17
Image chdappkf18
Image chdappkf19
Image chdappkf20
Image chdappkf21
Image chdappkf22
Image chdappkf23
Image chdappkf24
Image chdappkf25
Image chdappkf26
Image chdappkf27
Image chdappkf28
Image chdappkf29
Image chdappkf30
Image chdappkf31
Image chdappkf32
Image chdappkf33
Image chdappkf34
Image chdappkf35
Image chdappkf36
Image chdappkf37
Image chdappkf38
Image chdappkf39
Image chdappkf40
Image chdappkf41
Image chdappkf42
Image chdappkf43
Image chdappkf44
Image chdappkf45
Image chdappkf46
Image chdappkf47
Image chdappkf48
Image chdappkf49
Image chdappkf50
Image chdappkf51
Image chdappkf52
Image chdappkf53
Image chdappkf54
Image chdappkf55
Image chdappkf56
Image chdappkf57
Image chdappkf58