scholarly journals Predicting high-grade prostate cancer at initial biopsy: clinical performance of the ExoDx (EPI) Prostate Intelliscore test in three independent prospective studies

2021 ◽  
Author(s):  
Erik Margolis ◽  
Gordon Brown ◽  
Alan Partin ◽  
Ballentine Carter ◽  
James McKiernan ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Predictive Value ◽  
Validation Studies ◽  
Characteristic Curve ◽  
Randomized Study ◽  
Specific Antigen ◽  
Low Grade ◽  
High Grade ◽  
Grade Group ◽  
Initial Biopsy

Abstract Background The ability to discriminate indolent from clinically significant prostate cancer (PC) at the initial biopsy remains a challenge. The ExoDx Prostate (IntelliScore) (EPI) test is a noninvasive liquid biopsy that quantifies three RNA targets in urine exosomes. The EPI test stratifies patients for risk of high-grade prostate cancer (HGPC; ≥ Grade Group 2 [GG] PC) in men ≥ 50 years with equivocal prostate-specific antigen (PSA) (2–10 ng/mL). Here, we present a pooled meta-analysis from three independent prospective-validation studies in men presenting for initial biopsy decision. Methods Pooled data from two prospective multi-site validation studies and the control arm of a clinical utility study were analyzed. Performance was evaluated using the area under the receiver-operating characteristic curve (AUC), negative predictive value (NPV), positive predictive value (PPV), sensitivity, and specificity for discriminating ≥ GG2 from GG1 and benign pathology. Results The combined cohort (n = 1212) of initial-biopsy subjects had a median age of 63 years and median PSA of 5.2 ng/mL. The EPI AUC (0.70) was superior to PSA (0.56), Prostate Cancer Prevention Trial Risk Calculator (PCPT-RC) (0.62), and The European Randomized Study of Screening for Prostate Cancer (ERSPC) (0.59), (all p-values <0.001) for discriminating GG2 from GG1 and benign histology. The validated cutoff of 15.6 would avoid 23% of all prostate biopsies and 30% of “unnecessary” (benign or Gleason 6/GG1) biopsies, with an NPV of 90%. Conclusions EPI is a noninvasive, easy-to-use, urine exosome–RNA assay that has been validated across 3 independent prospective multicenter clinical trials with 1212 subjects. The test can discriminate high-grade (≥GG2) from low-grade (GG1) cancer and benign disease. EPI effectively guides the biopsy-decision process independent of PSA and other standard-of-care factors.

scholarly journals Clinical Performance of the ExoDx (EPI) Prostate Intelliscore Test to Predict High-grade Prostate Cancer at Initial Biopsy: A Pooled Analysis of Three Independent Prospective Studies.

2020 ◽  
Author(s):  
Erik Margolis ◽  
Gordon Brown ◽  
Alan Partin ◽  
Ballentine Carter ◽  
James McKiernan ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Predictive Value ◽  
Validation Studies ◽  
Task Force ◽  
African Ancestry ◽  
Low Grade ◽  
High Grade ◽  
Cut Point ◽  
Non Invasive ◽  
Initial Biopsy

Abstract BACKGROUND The ability to discriminate indolent from clinically significant prostate cancer (PC) in the initial biopsy setting remains an important health issue. ExoDx Prostate(IntelliScore) (EPI), is a non-invasive exosome based liquid biopsy test that quantifies three RNA targets in exosomes from urine. The EPI test is used to help stratify patients for risk of high grade prostate cancer, HGPC (≥ GG2 PC) in men 50 years or older with PSA in the gray zone (2–10 ng/mL). The EPI test has been extensively validated and is included in the NCCN guidelines for prostate cancer early detection. Here we present a pooled meta-analysis from three independent prospective validation studies in men presenting for initial biopsy decision. Age range and PSA level subgroups were also analyzed for EPI performance.METHODS Pooled data from two prospective multi-site validation studies and the control arm of a clinical utility study were analyzed. The data from these three independent trials is presented for men 50 years or older with PSA 2–10 ng/ml presenting for their initial prostate biopsy as well as a subgroup of patients between 55–69 years as recommended by the USPSTF (United States Preventative Services Task Force) and PSA greater than 3 ng/mL as per NCCN 2020 guidelines. Diagnostic needle biopsy outcomes were compared with the EPI score, PSA and both the Prostate Cancer Prevention Trial (PCPT 2.0) and the European Randomized Study of Screening for Prostate Cancer (ERSPC) risk calculators. Performance was evaluated using the area under the receiver operating characteristic curve (AUC), negative predictive value (NPV), positive predictive value (PPV), sensitivity and specificity for discriminating ≥ GG2 from GG1 and benign pathology.RESULTS The combined cohort (n = 1212) of initial biopsy subjects had a median age of 63 years, median PSA 5.2 ng/mL and 17% African ancestry. The positive biopsy rate was 52% for ≥ GG1, 30% ≥GG2 and 14% ≥GG3. The EPI AUC of 0.70 was superior to PSA (AUC:0.56), PCPTRC (AUC: 0.62), and ERSPC (AUC: 0.59), (all p-values < 0.001) for discriminating GG2 from GG1 and benign histology. The previously validated cut-point of 15.6 (or alternative 20) would avoid 23% (or 34%) of all prostate biopsies and 30% (or 43%) of “unnecessary” (benign or Gleason 6/GG1) biopsies, with an NPV of 90% (89%). Across the total cohort (n = 1212), only 2.3% (28/1212) or 3.8% (46/1212) of patients would experience delayed detection of ≥ GG2 at the < 15.6 or < 20 threshold, respectively and for GG3, 1% (12/1212) and 1.5% (19/1212) at either cut-point would be delayed. Comparable results were identified when either the USPSTF 55–69 year age limit or NCCN PSA greater than 3 ng/mL were applied.CONCLUSIONS EPI is a non-invasive, easy to use, urine exosome-RNA assay that has been validated across 3 independent prospective multi-center clinical trials with 1212 patients. The test can discriminate high-grade (≥GG2) from low-grade (GG1) cancer and benign disease and performs equally well in the larger cohort as well as across the USPSTF and NCCN restricted subgroups. EPI effectively guides the biopsy decision process and improves identification of HGPC independent of PSA and other standard of care factors.

A urine exosomal circRNA classifier for detection of high-grade prostate cancer at initial biopsy: A multicenter, retrospective study.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 5522-5522
Author(s):  
Liaoyuan Li ◽  
Wen Tao ◽  
Yadi He ◽  
Tao He ◽  
Qing Li ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Validation Cohort ◽  
Characteristic Curve ◽  
Specific Antigen ◽  
Digital Rectal Examination ◽  
Circular Rna ◽  
High Grade ◽  
Training Cohort ◽  
Potential Biomarker ◽  
Initial Biopsy

5522 Background: The low specificity of prostate-specific antigen (PSA) has resulted in the overdiagnosis and overtreatment of clinically indolent prostate cancer (PCa). We aimed to identify a urine exosomal circular RNA (circRNA) classifier that could detect high-grade (Gleason score [GS]7 or greater) PCa. Methods: We did a three-stage study that enrolled eligible participants, including PCa-free men, 45 years or older, scheduled for an initial prostate biopsy due to suspicious digital rectal examination findings and/or PSA levels (limit range, 2.0-20.0 ng/mL), from four hospitals in China. We used RNA sequencing and digital droplet polymerase chain reaction to identify 18 candidate urine exosomal circRNAs that were increased in 11 patients with high-grade PCa compared with 11 case-matched patients with benign prostatic hyperplasia. Using a training cohort of eligible participants, we built a urine exosomal circRNA classifier (Ccirc) to detect high-grade PCa. We then evaluated the classifier in discrimination of GS7 or greater from GS6 and benign disease on initial biopsy in two independent cohorts. We used the sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) to evaluate diagnostic performance, and compared Ccirc with standard of care (SOC) (ie, PSA level, age, race, and family history). Results: Between June 1, 2016, and July 31, 2019, we recruited 356 participants to the training cohort, and 442 and 325 participants to the two independent validation cohorts. We identified a Ccirc containing five differentially expressed circRNAs (circ_0049335, circ_0056536, circ_0004028, circ_0008475, and circ_0126027) that could detect high-grade PCa. Ccirc showed higher accuracy than SOC to distinguish individuals with high-grade PCa from controls in both the training cohort and the validation cohorts. (AUC 0.831 [95% CI 0.765-0.883] vs 0.724 [0.705-0.852], P = 0.032 in the training cohort; 0.823 [0.762-0.871] vs 0.706 [0.649-0.762], P = 0.007 in validation cohort 1; and 0.878 [0.802-0.943] vs 0.785 [0.701-0.890], P = 0.021 for validation cohort 2). In all three cohorts, Ccirc had higher sensitivity (range 71.6-87.2%) and specificity (82.3-90.7%) than did SOC (sensitivity, 42.3-68.2%; specificity, 40.1-62.3%) to detect high-grade PCa. Using a predefined cut point, 202 of 767 (26.3%) biopsies would have been avoided, missing only 6% of patients with dominant pattern 4 high-risk GS 7 disease. Conclusions: Ccirc is a potential biomarker for high-grade PCa among suspicious men.

scholarly journals Can Urinary PCA3 Supplement PSA in the Early Detection of Prostate Cancer?

2014 ◽  
Vol 32 (36) ◽  
pp. 4066-4072 ◽  
Author(s):  
John T. Wei ◽  
Ziding Feng ◽  
Alan W. Partin ◽  
Elissa Brown ◽  
Ian Thompson ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Early Detection ◽  
Prostate Biopsy ◽  
Predictive Value ◽  
Specific Antigen ◽  
Digital Rectal Examination ◽  
Repeat Biopsy ◽  
Individual Risk ◽  
High Grade ◽  
Initial Biopsy

Purpose Given the limited sensitivity and specificity of prostate-specific antigen (PSA), its widespread use as a screening tool has raised concerns for the overdiagnosis of low-risk and the underdiagnosis of high-grade prostate cancer. To improve early-detection biopsy decisions, the National Cancer Institute conducted a prospective validation trial to assess the diagnostic performance of the prostate cancer antigen 3 (PCA3) urinary assay for the detection of prostate cancer among men screened with PSA. Patients and Methods In all, 859 men (mean age, 62 years) from 11 centers scheduled for a diagnostic prostate biopsy between December 2009 and June 2011 were enrolled. The primary outcomes were to assess whether PCA3 could improve the positive predictive value (PPV) for an initial biopsy (at a score > 60) and the negative predictive value (NPV) for a repeat biopsy (at a score < 20). Results For the detection of any cancer, PPV was 80% (95% CI, 72% to 86%) in the initial biopsy group, and NPV was 88% (95% CI, 81% to 93%) in the repeat biopsy group. The addition of PCA3 to individual risk estimation models (which included age, race/ethnicity, prior biopsy, PSA, and digital rectal examination) improved the stratification of cancer and of high-grade cancer. Conclusion These data independently support the role of PCA3 in reducing the burden of prostate biopsies among men undergoing a repeat prostate biopsy. For biopsy-naive patients, a high PCA3 score (> 60) significantly increases the probability that an initial prostate biopsy will identify cancer.

scholarly journals Clinical use of the SelectMDx urinary-biomarker test with or without mpMRI in prostate cancer diagnosis: a prospective, multicenter study in biopsy-naïve men

2021 ◽  
Author(s):  
Rianne J. Hendriks ◽  
Marloes M. G. van der Leest ◽  
Bas Israël ◽  
Gerjon Hannink ◽  
Anglita YantiSetiasti ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Risk Stratification ◽  
Specific Antigen ◽  
Low Grade ◽  
Diagnostic Study ◽  
High Grade ◽  
Net Benefit ◽  
Conditional Strategy ◽  
Detection Rates ◽  
Guided Biopsy

Abstract Background Risk stratification in men with suspicion of prostate cancer (PCa) requires reliable diagnostic tests, not only to identify high-grade PCa, also to minimize the overdetection of low-grade PCa, and reduction of “unnecessary” prostate MRIs and biopsies. This study aimed to evaluate the SelectMDx test to detect high-grade PCa in biopsy-naïve men. Subsequently, to assess combinations of SelectMDx test and multi-parametric (mp) MRI and its potential impact on patient selection for prostate biopsy. Methods This prospective multicenter diagnostic study included 599 biopsy-naïve patients with prostate-specific antigen level ≥3 ng/ml. All patients underwent a SelectMDx test and mpMRI before systematic transrectal ultrasound-guided biopsy (TRUSGB). Patients with a suspicious mpMRI also had an in-bore MR-guided biopsy (MRGB). Histopathologic outcome of TRUSGB and MRGB was used as reference standard. High-grade PCa was defined as ISUP Grade Group (GG) ≥ 2. The primary outcome was the detection rates of low- and high-grade PCa and number of biopsies avoided in four strategies, i.e., (1) SelectMDx test-only, (2) mpMRI-only, (3) SelectMDx test followed by mpMRI when SelectMDx test was positive (conditional strategy), and (4) SelectMDx test and mpMRI in all (joint strategy). A positive SelectMDx test outcome was a risk score of ≥−2.8. Decision curve analysis (DCA) was performed to assess clinical utility. Results Prevalence of high-grade PCa was 31% (183/599). Thirty-eight percent (227/599) of patients had negative SelectMDx test in whom biopsy could be avoided. Low-grade PCa was not detected in 35% (48/138) with missing 10% (18/183) high-grade PCa. Yet, mpMRI-only could avoid 49% of biopsies, not detecting 4.9% (9/183) of high-grade PCa. The conditional strategy reduces the number of mpMRIs by 38% (227/599), avoiding biopsy in 60% (357/599) and missing 13% (24/183) high-grade PCa. Low-grade PCa was not detected in 58% (80/138). DCA showed the highest net benefit for the mpMRI-only strategy, followed by the conditional strategy at-risk thresholds >10%. Conclusions SelectMDx test as a risk stratification tool for biopsy-naïve men avoids unnecessary biopsies in 38%, minimizes low-grade PCa detection, and misses only 10% high-grade PCa. Yet, using mpMRI in all patients had the highest net benefit, avoiding biopsy in 49% and missing 4.9% of high-risk PCa. However, if mpMRI availability is limited or expensive, using mpMRI-only in SelectMDx test positive patients is a good alternative strategy.

Overdiagnosis and Overtreatment of Prostate Cancer

2012 ◽  
pp. e35-e39 ◽  
Author(s):  
Ian M. Thompson
Keyword(s):  
Prostate Cancer ◽  
Active Surveillance ◽  
Specific Antigen ◽  
The United States ◽  
Assessment Tools ◽  
Low Grade ◽  
High Grade ◽  
Surveillance Strategy ◽  
Psa Testing ◽  
Prostate Cancer Prevention

Overview: Prostate cancer is a ubiquitous disease, affecting as many as two-thirds of men in their 60s. Through widespread prostate-specific antigen (PSA) testing, increasing rates of prostate biopsy, and increased sampling of the prostate, a larger fraction of low-grade, low-volume tumors have been detected, consistent with tumors often found at autopsy. These tumors have historically been treated in a manner similar to that used for higher-grade tumors but, more recently, it has become evident that with a plan of active surveillance that reserves treatment for only those patients whose tumors show evidence of progression, very high disease-specific survival can be achieved. Unfortunately, the frequency of recommendation of an active surveillance strategy in the United States is low. An alternative strategy to improve prostate cancer detection is through selected biopsy of those men who are at greater risk of harboring high-grade, potentially lethal cancer. This strategy is currently possible through the use of risk assessment tools such as the Prostate Cancer Prevention Trial Risk Calculator ( www.prostate.cancer.risk.calculator.com ) as well as others. These tools can predict with considerable accuracy a man's risk of low-grade and high-grade cancer, allowing informed decision making for the patient with a goal of detection of high-risk disease. Ultimately, other biomarkers including PCA3, TMPRSS2:ERG, and [-2]proPSA will likely aid in discriminating these two types of cancer before biopsy.

scholarly journals Vasectomy and Risk of Aggressive Prostate Cancer: A 24-Year Follow-Up Study

2014 ◽  
Vol 32 (27) ◽  
pp. 3033-3038 ◽  
Author(s):  
Mohummad Minhaj Siddiqui ◽  
Kathryn M. Wilson ◽  
Mara M. Epstein ◽  
Jennifer R. Rider ◽  
Neil E. Martin ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Treatment ◽  
Specific Antigen ◽  
Prostate Cancer Risk ◽  
The United States ◽  
Low Grade ◽  
High Grade ◽  
Follow Up Study ◽  
Increased Risk

Purpose Conflicting reports remain regarding the association between vasectomy, a common form of male contraception in the United States, and prostate cancer risk. We examined prospectively this association with extended follow-up and an emphasis on advanced and lethal disease. Patients and Methods Among 49,405 US men in the Health Professionals Follow-Up Study, age 40 to 75 years at baseline in 1986, 6,023 patients with prostate cancer were diagnosed during the follow-up to 2010, including 811 lethal cases. In total, 12,321 men (25%) had vasectomies. We used Cox proportional hazards models to estimate the relative risk (RR) and 95% CIs of total, advanced, high-grade, and lethal disease, with adjustment for a variety of possible confounders. Results Vasectomy was associated with a small increased risk of prostate cancer overall (RR, 1.10; 95% CI, 1.04 to 1.17). Risk was elevated for high-grade (Gleason score 8 to 10; RR, 1.22; 95% CI, 1.03 to 1.45) and lethal disease (death or distant metastasis; RR, 1.19; 95% CI, 1.00 to 1.43). Among a subcohort of men receiving regular prostate-specific antigen screening, the association with lethal cancer was stronger (RR, 1.56; 95% CI, 1.03 to 2.36). Vasectomy was not associated with the risk of low-grade or localized disease. Additional analyses suggested that the associations were not driven by differences in sex hormone levels, sexually transmitted infections, or cancer treatment. Conclusion Our data support the hypothesis that vasectomy is associated with a modest increased incidence of lethal prostate cancer. The results do not appear to be due to detection bias, and confounding by infections or cancer treatment is unlikely.

Evolving Recommendations on Prostate Cancer Screening

2016 ◽  
pp. e80-e87
Author(s):  
Otis W. Brawley ◽  
Ian M. Thompson ◽  
Henrik Grönberg
Keyword(s):  
Prostate Cancer ◽  
Family History ◽  
New Technologies ◽  
Prostate Cancer Screening ◽  
Large Population ◽  
Specific Antigen ◽  
Population Based ◽  
Low Grade ◽  
Diagnostic Study ◽  
High Grade

Results of a number of studies demonstrate that the serum prostate-specific antigen (PSA) in and of itself is an inadequate screening test. Today, one of the most pressing questions in prostate cancer medicine is how can screening be honed to identify those who have life-threatening disease and need aggressive treatment. A number of efforts are underway. One such effort is the assessment of men in the landmark Prostate Cancer Prevention Trial that has led to a prostate cancer risk calculator (PCPTRC), which is available online. PCPTRC version 2.0 predicts the probability of the diagnosis of no cancer, low-grade cancer, or high-grade cancer when variables such as PSA, age, race, family history, and physical findings are input. Modern biomarker development promises to provide tests with fewer false positives and improved ability to find high-grade cancers. Stockholm III (STHLM3) is a prospective, population-based, paired, screen-positive, prostate cancer diagnostic study assessing a combination of plasma protein biomarkers along with age, family history, previous biopsy, and prostate examination for prediction of prostate cancer. Multiparametric MRI incorporates anatomic and functional imaging to better characterize and predict future behavior of tumors within the prostate. After diagnosis of cancer, several genomic tests promise to better distinguish the cancers that need treatment versus those that need observation. Although the new technologies are promising, there is an urgent need for evaluation of these new tests in high-quality, large population-based studies. Until these technologies are proven, most professional organizations have evolved to a recommendation of informed or shared decision making in which there is a discussion between the doctor and patient.

scholarly journals A preliminary study of micro-RNAs as minimally invasive biomarkers for the diagnosis of prostate cancer patients

2021 ◽  
Vol 40 (1) ◽  
Author(s):  
Simona Giglio ◽  
Cosimo De Nunzio ◽  
Roberto Cirombella ◽  
Antonella Stoppacciaro ◽  
Omar Faruq ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Minimally Invasive ◽  
Cancer Patients ◽  
Strong Predictor ◽  
Diagnostic Model ◽  
Low Grade ◽  
High Grade ◽  
Grade Group ◽  
Prostate Biopsies ◽  
Micro Rnas

Abstract Background A prostate cancer diagnosis is based on biopsy sampling that is an invasive, expensive procedure, and doesn’t accurately represent multifocal disease. Methods To establish a model using plasma miRs to distinguish Prostate cancer patients from non-cancer controls, we enrolled 600 patients histologically diagnosed as having or not prostate cancer at biopsy. Two hundred ninety patients were eligible for the analysis. Samples were randomly divided into discovery and validation cohorts. Results NGS-miR-expression profiling revealed a miRs signature able to distinguish prostate cancer from non-cancer plasma samples. Of 51 miRs selected in the discovery cohort, we successfully validated 5 miRs (4732-3p, 98-5p, let-7a-5p, 26b-5p, and 21-5p) deregulated in prostate cancer samples compared to controls (p ≤ 0.05). Multivariate and ROC analyses show miR-26b-5p as a strong predictor of PCa, with an AUC of 0.89 (CI = 0.83–0.95;p < 0.001). Combining miRs 26b-5p and 98-5p, we developed a model that has the best predictive power in discriminating prostate cancer from non-cancer (AUC = 0.94; CI: 0,835-0,954). To distinguish between low and high-grade prostate cancer, we found that miR-4732-3p levels were significantly higher; instead, miR-26b-5p and miR-98-5p levels were lower in low-grade compared to the high-grade group (p ≤ 0.05). Combining miR-26b-5p and miR-4732-3p we have the highest diagnostic accuracy for high-grade prostate cancer patients, (AUC = 0.80; CI 0,69-0,873). Conclusions Noninvasive diagnostic tests may reduce the number of unnecessary prostate biopsies. The 2-miRs-diagnostic model (miR-26b-5p and miR-98-5p) and the 2-miRs-grade model (miR-26b-5p and miR-4732-3p) are promising minimally invasive tools in prostate cancer clinical management.

scholarly journals Comparison of Sensitivity and Specificity of Biparametric versus Multiparametric Prostate MRI in the Detection of Prostate Cancer in 431 Men with Elevated Prostate-Specific Antigen Levels

Diagnostics ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1223
Author(s):  
Filippo Pesapane ◽  
Marzia Acquasanta ◽  
Rosario Di Meo ◽  
Giorgio Maria Agazzi ◽  
Priyan Tantrige ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prostate Specific Antigen ◽  
Sensitivity And Specificity ◽  
Specific Antigen ◽  
Low Grade ◽  
High Grade ◽  
Dynamic Contrast Enhancement ◽  
Prostate Mri ◽  
Endorectal Coil

(1) Background: the study of dynamic contrast enhancement (DCE) has a limited role in the detection of prostate cancer (PCa), and there is a growing interest in performing unenhanced biparametric prostate-MRI (bpMRI) instead of the conventional multiparametric-MRI (mpMRI). In this study, we aimed to retrospectively compare the performance of the mpMRI, which includes DCE study, and the unenhanced bpMRI, composed of only T2-weighted imaging and diffusion-weighted imaging (DWI), in PCa detection in men with elevated prostate-specific-antigen (PSA) levels. (2) Methods: a 1.5 T MRI, with an endorectal-coil, was performed on 431 men (aged 61.5 ± 8.3 years) with a PSA ≥4.0 ng/mL. The bpMRI and mpMRI tests were independently assessed in separate sessions by two readers with 5 (R1) and 3 (R2) years of experience. The histopathology or ≥2 years follow-up served as a reference standard. The sensitivity and specificity were calculated with their 95% CI, and McNemar’s and Cohen’s κ statistics were used. (3) Results: in 195/431 (45%) of histopathologically proven PCa cases, 62/195 (32%) were high-grade PCa (GS ≥ 7b) and 133/195 (68%) were low-grade PCa (GS ≤ 7a). The PCa could be excluded by histopathology in 58/431 (14%) and by follow-up in 178/431 (41%) of patients. For bpMRI, the sensitivity was 164/195 (84%, 95% CI: 79–89%) for R1 and 156/195 (80%, 95% CI: 74–86%) for R2; while specificity was 182/236 (77%, 95% CI: 72–82%) for R1 and 175/236 (74%, 95% CI: 68–80%) for R2. For mpMRI, sensitivity was 168/195 (86%, 95% CI: 81–91%) for R1 and 160/195 (82%, 95% CI: 77–87%) for R2; while specificity was 184/236 (78%, 95% CI: 73–83%) for R1 and 177/236 (75%, 95% CI: 69–81%) for R2. Interobserver agreement was substantial for both bpMRI (κ = 0.802) and mpMRI (κ = 0.787). (4) Conclusions: the diagnostic performance of bpMRI and mpMRI were similar, and no high-grade PCa was missed with bpMRI.

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