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A nomogram to predict the absence of clinically significant prostate cancer in males with negative MRI

ABSTRACT

Purpose:

To create a nomogram to predict the absence of clinically significant prostate cancer (CSPCa) in males with non-suspicion multiparametric magnetic resonance imaging (mpMRI) undergoing prostate biopsy (PBx).

Materials and Methods:

We identified consecutive patients who underwent 3T mpMRI followed by PBx for suspicion of PCa or surveillance follow-up. All patients had Prostate Imaging Reporting and Data System score 1-2 (negative mpMRI). CSPCa was defined as Grade Group ≥2. Multivariate logistic regression analysis was performed via backward elimination. Discrimination was evaluated with area under the receiver operating characteristic (AUROC). Internal validation with 1,000x bootstrapping for estimating the optimism corrected AUROC.

Results:

Total 327 patients met inclusion criteria. The median (IQR) age and PSA density (PSAD) were 64 years (58-70) and 0.10 ng/mL2 (0.07-0.15), respectively. Biopsy history was as follows: 117 (36%) males were PBx-naive, 130 (40%) had previous negative PBx and 80 (24%) had previous positive PBx. The majority were White (65%); 6% of males self-reported Black. Overall, 44 (13%) patients were diagnosed with CSPCa on PBx. Black race, history of previous negative PBx and PSAD ≥0.15ng/mL2 were independent predictors for CSPCa on PBx and were included in the nomogram. The AUROC of the nomogram was 0.78 and the optimism corrected AUROC was 0.75.

Conclusions:

Our nomogram facilitates evaluating individual probability of CSPCa on PBx in males with PIRADS 1-2 mpMRI and may be used to identify those in whom PBx may be safely avoided. Black males have increased risk of CSPCa on PBx, even in the setting of PIRADS 1-2 mpMRI

Keywords:
Prostatic Neoplasms; Multiparametric Magnetic Resonance Imaging; Biopsy

INTRODUCTION

Multiparametric magnetic resonance imaging (mpMRI) is recommended by guidelines for patients with a suspicion for prostate cancer (PCa) before prostate biopsy (PBx). There is a clear recommendation to biopsy all males with Prostate Imaging-Reporting and Data System (PIRADS) 3-5 mpMRI. However, the recommendation to biopsy those with PIRADS 1-2 mpMRI (non-suspicious/negative), including those on active surveillance (AS), is not well defined and should be considered on a case-by-case basis, sharing the decision with the patient (11 Bjurlin MA, Carroll PR, Eggener S, Fulgham PF, Margolis DJ, Pinto PA, et al. Update of the Standard Operating Procedure on the Use of Multiparametric Magnetic Resonance Imaging for the Diagnosis, Staging and Management of Prostate Cancer. J Urol. 2020;203:706-12., 22 Mottet N, Cornford P, van den Bergh R.C.N., Briers E, Eberli D, De Meerleer G, et al. EAU - EANM - ESTRO - ESUR - ISUP-SIOG: Guidelines on Prostate Cancer. European Association of Urology 2023. [Internet]. Available at. <https://d56bochluxqnz.cloudfront.net/documents/full-guideline/EAU-EANM-ESTRO-ESUR-ISUP-SIOG-Guidelines-on-Prostate-Cancer-2023_2023-06-13-141145_owmj.pdf>. Accessed February 5, 2024.
https://d56bochluxqnz.cloudfront.net/doc...
).

Approximately 25% of clinically significant cancer (CSPCa) can be missed in the setting of PIRADS 1-2 mpMRI (33 Ahmed HU, El-Shater Bosaily A, Brown LC, Gabe R, Kaplan R, Parmar MK, et al. Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study. Lancet. 2017;389(10071):815-22.). On the other hand, performing PBx on patients with PIRADS 1-2 mpMRI can increase biopsy-related morbidity and overdiagnosis by detecting clinically insignificant prostate cancer (CIPCa). Therefore, more precise methods to evaluate individual risk of CSPCa are necessary. The decision to biopsy a patient with PIRADS 1-2 mpMRI is complex and multifactorial, including patient’s race, biopsy history, prostatic antigen (PSA) density (PSAD) and others (44 Distler FA, Radtke JP, Bonekamp D, Kesch C, Schlemmer HP, Wieczorek K, Kirchner M, Pahernik S, Hohenfellner M, Hadaschik BA. The Value of PSA Density in Combination with PI-RADS™ for the Accuracy of Prostate Cancer Prediction. J Urol. 2017;198:575-82.

5 Washino S, Okochi T, Saito K, Konishi T, Hirai M, Kobayashi Y, et al. Combination of prostate imaging reporting and data system (PI-RADS) score and prostate-specific antigen (PSA) density predicts biopsy outcome in prostate biopsy naïve patients. BJU Int. 2017;119:225-33.

6 Oishi M, Shin T, Ohe C, Nassiri N, Palmer SL, Aron M, et al. Which Patients with Negative Magnetic Resonance Imaging Can Safely Avoid Biopsy for Prostate Cancer? J Urol. 2019;201:268-76.

7 Panebianco V, Barchetti G, Simone G, Del Monte M, Ciardi A, Grompone MD, et al. Negative Multiparametric Magnetic Resonance Imaging for Prostate Cancer: What’s Next? Eur Urol. 2018;74:48-54.

8 Pagniez MA, Kasivisvanathan V, Puech P, Drumez E, Villers A, Olivier J. Predictive Factors of Missed Clinically Significant Prostate Cancers in Men with Negative Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis. J Urol. 2020;204:24-32.
-99 Schoots IG, Padhani AR. Risk-adapted biopsy decision based on prostate magnetic resonance imaging and prostate-specific antigen density for enhanced biopsy avoidance in first prostate cancer diagnostic evaluation. BJU Int. 2021;127:175-8.). We hypothesized that a nomogram incorporating clinical variables in males with PIRADS 1-2 on mpMRI may facilitate personalized decision making whether to perform prostate biopsy.

The objective of the current study is to create a nomogram to predict the absence of CSPCa in males with PIRADS 1-2 mpMRI undergoing PBx.

MATERIALS AND METHODS

Study design and population

The current study was approved by our Institutional Review Board (IRB No. HS-13-00663). We identified consecutive patients who underwent PBx at University of Southern California (USC), from September 2011 to August 2019, from our prospectively maintained PBx database. The inclusion criteria were: Males with i) suspicion for PCa by elevated or rising PSA, abnormal digital rectal examination (DRE) or those on AS for PCa; ii) 3T mpMRI within 6 months before PBx; iii) PIRADS 1-2 mpMRI (negative mpMRI); iv) extended sextant systematic PBx. Exclusion criteria were: i) mpMRI that did not meet PIRADS standards (version 1.0 for before 2015, 2.0 for 2015 to April 2019, and 2.1 for after May 2019); ii) any prior treatment for PCa; iii) prior surgical therapy for enlargement of the prostate or lower urinary symptoms; iv) mpMRI with inadequate quality (i.e. 1.5T or significant artifact); v) mpMRI performed longer than 6 months before biopsy.

All cases had no prostate cancer suspicious findings on mpMRI (PIRADS 1-2). All patients with PIRADS 1-2 mpMRI routinely underwent extended sextant systematic PBx as our institutional daily practice (66 Oishi M, Shin T, Ohe C, Nassiri N, Palmer SL, Aron M, et al. Which Patients with Negative Magnetic Resonance Imaging Can Safely Avoid Biopsy for Prostate Cancer? J Urol. 2019;201:268-76., 1010 Fujihara A, Iwata T, Shakir A, Tafuri A, Cacciamani GE, Gill K, et al. Multiparametric magnetic resonance imaging facilitates reclassification during active surveillance for prostate cancer. BJU Int. 2021;127:712-21.).

MRI acquisition and Imaging interpretation

The exams were performed on a 3T MR-750 MR scanner (General Electric, USA) with a 16-channel phased-array surface coil. Sequences included small field of view axial, coronal, and sagittal T2-weighted (T2W), diffusion-weighted imaging (DWI) using b100, b800 and b1400, apparent diffusion coefficient (ADC) map, and dynamic contrast-enhanced (DCE) during the intravenous injection of 0.2mL/kg gadobenate dimeglubine (MultiHance, Bracco Diagnostics, Germany) at 3 mL/s (1010 Fujihara A, Iwata T, Shakir A, Tafuri A, Cacciamani GE, Gill K, et al. Multiparametric magnetic resonance imaging facilitates reclassification during active surveillance for prostate cancer. BJU Int. 2021;127:712-21.). mpMRI was acquired and interpreted based on PIRADS version 1.0 (before 2015), 2.0 (after 2015) or 2.1 (after May 2019) according to the current version at time of biopsy (1111 Barentsz JO, Richenberg J, Clements R, Choyke P, Verma S, Villeirs G, et al. ESUR prostate MR guidelines 2012. Eur Radiol. 2012;22:746-57.

12 Weinreb JC, Barentsz JO, Choyke PL, Cornud F, Haider MA, Macura KJ, et al. PI-RADS Prostate Imaging - Reporting and Data System: 2015, Version 2. Eur Urol. 2016;69:16-40.
-1313 Turkbey B, Rosenkrantz AB, Haider MA, Padhani AR, Villeirs G, Macura KJ, et al. Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2. Eur Urol. 2019;76:340-51.). MRIs performed outside institution were accepted if they met PIRADS standards and inclusion/exclusion criteria. Images were evaluated by experienced radiologists and reports were further reviewed by an experienced radiologist (SP) with more than 15 years reading mpMRI prostate to confirm these images had no cancer suspicious lesion (66 Oishi M, Shin T, Ohe C, Nassiri N, Palmer SL, Aron M, et al. Which Patients with Negative Magnetic Resonance Imaging Can Safely Avoid Biopsy for Prostate Cancer? J Urol. 2019;201:268-76., 1010 Fujihara A, Iwata T, Shakir A, Tafuri A, Cacciamani GE, Gill K, et al. Multiparametric magnetic resonance imaging facilitates reclassification during active surveillance for prostate cancer. BJU Int. 2021;127:712-21.).

Prostate biopsy protocol

Transrectal ultrasound (TRUS)-guided systematic extended sextant 12-core PBx were performed transrectally, using the Koelis ® system (Koelis ®, Grenoble, France) and 18G needle-biopsy, under local anesthesia by two experienced urologists at USC (OU and ALA), as previously described (66 Oishi M, Shin T, Ohe C, Nassiri N, Palmer SL, Aron M, et al. Which Patients with Negative Magnetic Resonance Imaging Can Safely Avoid Biopsy for Prostate Cancer? J Urol. 2019;201:268-76., 1010 Fujihara A, Iwata T, Shakir A, Tafuri A, Cacciamani GE, Gill K, et al. Multiparametric magnetic resonance imaging facilitates reclassification during active surveillance for prostate cancer. BJU Int. 2021;127:712-21., 1414 Tafuri A, Iwata A, Shakir A, Iwata T, Gupta C, Sali A, et al. Systematic Biopsy of the Prostate can Be Omitted in Men with PI-RADS™ 5 and Prostate Specific Antigen Density Greater than 15. J Urol. 2021;206:289-97.

15 Tafuri A, Ashrafi AN, Palmer S, Shakir A, Cacciamani GE, Iwata A, et al. One-Stop MRI and MRI/transrectal ultrasound fusion-guided biopsy: an expedited pathway for prostate cancer diagnosis. World J Urol. 2020;38:949-56.
-1616 Gilberto GM, Arcuri MF, Falsarella PM, Mariotti GC, Lemos PLA Neto, Garcia RG. Complication rates of transrectal and transperineal prostate fusion biopsies - is there a learning curve even in high volume interventional center? Int Braz J Urol. 2023;49:334-40.). The same template was applied to all patients (66 Oishi M, Shin T, Ohe C, Nassiri N, Palmer SL, Aron M, et al. Which Patients with Negative Magnetic Resonance Imaging Can Safely Avoid Biopsy for Prostate Cancer? J Urol. 2019;201:268-76., 1010 Fujihara A, Iwata T, Shakir A, Tafuri A, Cacciamani GE, Gill K, et al. Multiparametric magnetic resonance imaging facilitates reclassification during active surveillance for prostate cancer. BJU Int. 2021;127:712-21.).

Definitions and endpoint

The endpoint is the absence of CSPCa on PBx. CSPCa was defined as International Society of Urological Pathology (ISUP) Grade Group (GG) 2 or greater (66 Oishi M, Shin T, Ohe C, Nassiri N, Palmer SL, Aron M, et al. Which Patients with Negative Magnetic Resonance Imaging Can Safely Avoid Biopsy for Prostate Cancer? J Urol. 2019;201:268-76., 1010 Fujihara A, Iwata T, Shakir A, Tafuri A, Cacciamani GE, Gill K, et al. Multiparametric magnetic resonance imaging facilitates reclassification during active surveillance for prostate cancer. BJU Int. 2021;127:712-21., 1414 Tafuri A, Iwata A, Shakir A, Iwata T, Gupta C, Sali A, et al. Systematic Biopsy of the Prostate can Be Omitted in Men with PI-RADS™ 5 and Prostate Specific Antigen Density Greater than 15. J Urol. 2021;206:289-97., 1515 Tafuri A, Ashrafi AN, Palmer S, Shakir A, Cacciamani GE, Iwata A, et al. One-Stop MRI and MRI/transrectal ultrasound fusion-guided biopsy: an expedited pathway for prostate cancer diagnosis. World J Urol. 2020;38:949-56., 1717 Epstein JI, Egevad L, Amin MB, Delahunt B, Srigley JR, Humphrey PA; Grading Committee. The 2014 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma: Definition of Grading Patterns and Proposal for a New Grading System. Am J Surg Pathol. 2016;40:244-52.). CIPCa was defined as ISUP GG 1. Prostate volume (PV) was measured on mpMRI using ellipsoid formula (PV = height x width x length x 0.52). Patient’s race was determined as self-assessed by the patients according to National Institutes of Health guidelines (1818[No Authors]. NIH Policy on the Inclusion of Women and Minorities as Subjects in Clinical Research. [Internet]. Available at. <https://grants.nih.gov/policy/inclusion/women-and-minorities/guidelines.htm>. Accessed February 5, 2024.
https://grants.nih.gov/policy/inclusion/...
). PSAD was evaluated as continuous variable and as dichotomized variable specifically using a cut off of PSAD ≥0.15ng/mL2, as previously defined (66 Oishi M, Shin T, Ohe C, Nassiri N, Palmer SL, Aron M, et al. Which Patients with Negative Magnetic Resonance Imaging Can Safely Avoid Biopsy for Prostate Cancer? J Urol. 2019;201:268-76., 1414 Tafuri A, Iwata A, Shakir A, Iwata T, Gupta C, Sali A, et al. Systematic Biopsy of the Prostate can Be Omitted in Men with PI-RADS™ 5 and Prostate Specific Antigen Density Greater than 15. J Urol. 2021;206:289-97.). Patients on AS, were considered as having a history of prior positive biopsy.

Statistical Analysis

Patient characteristics were analyzed descriptively. The patients were divided into two cohorts according to biopsy histology, including: benign or CIPCa versus CSPCa cohort. The Wilcoxon rank sum test was used for continuous variables and the Fisher exact test was used for categorical variables. Univariate logistic regression analysis was performed using clinical and demographic parameters. Multivariate logistic regression analysis was performed using the predictors systematically selected via stepwise backward elimination methods. The exit criteria were centered p-value threshold of 0.25. The model performance was assessed with respect to discrimination and calibration. Discrimination was evaluated with area under the receiver operating characteristic (AUROC). Internal validation with 1,000x bootstrapping for estimating the optimism corrected AUROC (1919 Collins GS, Reitsma JB, Altman DG, Moons KG. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. BMJ. 2015;350:g7594.). Calibration was examined with calibration plots and the Hosmer-Lemeshow test (2020 Iasonos A, Schrag D, Raj GV, Panageas KS. How to build and interpret a nomogram for cancer prognosis. J Clin Oncol. 2008;26:1364-70.). The nomogram was generated based on a multivariate logistic regression model. The effect with the highest regression coefficient was assigned 100 points on the scale, and the other variables were assigned points proportional to their effect size regardless of statistical significance (2121 Steyerberg EW: Nomograms. In: Steyerberg EW (ed.), Clinical Prediction Models A Practical Approach to Development, Validation, and Updating, 2nd edn. Cham, Springer Nature. 2019; pp. 350-2.). Statistical analyses were performed using SAS version 9.4 (SAS Institute Inc., Cary, NC, USA) and RStudio version 1.2 (RStudio, Inc., USA) with the rms library. A two-sided p-value <0.05 was considered significant.

RESULTS

A total of 327 patients met inclusion criteria (Figure-1). Demographics, clinical and pathological characteristics are shown in Table-1. The median (IQR) age, PSA, PV, PSAD, number of positive cores per patients, maximum cancer core length and percent were 64 years (58-70), 6.0ng/mL (4.4-8.4), 59mL (40-86), 0.10ng/mL2 (0.068-0.15), 0 (0-1), 4mm (1-6) and 15% (5-40), respectively. Majority of the patients were White (65%); 6% self-reported Black. Abnormal DRE was found in 45 (14%) and 82 (25%) had family history of PCa. Prostate biopsy history was as follows: 117 (36%) were PBx naive, 130 (40%) had prior negative PBx, and 80 (24%) on AS had prior positive PBx (73 GG1, 6 GG2, and 1 GG3). The median (IQR) number of prior biopsies (including those on AS and those with negative biopsy) was 1 (1-2); and the time from last biopsy to current biopsy was 16 (7-37) months. For patients on AS (N=80), the last surveillance biopsy showed PCa in 71 (89%) males and was benign in 9 (11%).

Figure 1
Study cohort flowchart.
Table 1
Demographics of patients with negative MRI undergoing systematic prostate biopsy according to histology findings.

Overall, 44 (13%) patients were diagnosed with CSPCa on PBx. Comparison between benign or CIPCa group versus CSPCa group showed that PV, PSAD, race, prior PBx status, number of positive cores, maximum cancer core length and percent were significantly different between the two groups (Table-1).

Building the Nomogram

Univariate logistic regression analysis showed that Black race, smaller PV, PSAD≥0.15ng/mL2 and prior negative PBx status were significant predictors for CSPCa on PBx. PV and PSAD were both significant predictors for CSPCa on PBx, however, because of collinearity between the two variables, only PSAD was selected for multivariate analysis model. Black race, history of previous negative PBx, and PSAD≥0.15ng/mL2 were independent predictors for CSPCa on PBx, and therefore were included into the nomogram (Table-2). After stepwise selection, age was kept in the nomogram due to the clinical relevance. A nomogram to predict absence of CSPCa was then built using age and the independent predictors variables on multivariable analysis, as follows: age (OR 0.97, p=0.23), Black race (OR 0.21, p = 0.005), history of previous negative PBx (OR 3.40, p = 0.005), and PSAD ≥0.15ng/mL2 (OR 0.20, p < 0.005) (Figure-2). The nomogram was internally validated with 1,000x bootstrapping, which provided the optimism corrected AUROC was 0.75 (Figure-3A). The Hosmer-Lemeshow test showed the model was well calibrated (p = 0.79) (Figure-3B).

Table 2
Univariate and multivariate logistic regression analysis to predict the absence of clinically significant prostate cancer in patients with negative MRI.
Figure 2
Nomogram to predict the absence of clinically significant prostate cancer in patients with negative multiparametric MRI.
Figure 3
Receiver operating characteristic curve analysis of the model in predicting the absence of clinically significant prostate cancer in males with negative multiparametric MRI of the prostate and calibration plot of the nomogram.

Nomogram interpretation

The high predicted probability (PP) ≥0.75 part of the nomogram matched the actual observed count, with a majority of males falling into this risk-assessment interval, therefore the nomogram is accurate and prostate biopsy may be safely avoided (Table-3; Table-S1; Figure-3B; Figure-4). For the prediction probability between 0.5 to 0.75, the confidence interval becomes wider with smaller number of patients and tendency for underestimation. For this PP interval (0.5≤ PP <0.75), the nomogram is equivocal and prostate biopsy might be considered. For the PP interval up to 0.5, the confidence interval is wide and there is a small number of patients, and the nomogram is not precise; therefore, prostate biopsy should be considered. When physicians accept predicted probability 0.75 as a cutoff for omitting systematic biopsy, 88.8% of systematic PBx for patients with negative MRI can be safely omitted, at the cost of missing 9.6% of CSPCa. On the other hand, if no males with negative MRI undergo biopsy, additional 11.2% of systematic PBx can be omitted, at the cost of missing 13.7% of CSPCa.

Table 3
Subdivided performances of the nomogram based on different cutoffs to predict the absence of CSPCa on prostate biopsy in males with negative MRI.
Table S1
Distribution of predicted probability and observed absence of CSPCa on prostate biopsy in males with negative MRI.
Figure 4
Nomogram application: Index cases

DISCUSSION

A large systematic review and meta-analyses with a total of 42 studies including 7321 patients evaluated the negative predictive value of mpMRI and concluded that, regarding PBx, "local institutional data should form the basis of decision making if available" (2222 Sathianathen NJ, Omer A, Harriss E, Davies L, Kasivisvanathan V, Punwani S, et al. Negative Predictive Value of Multiparametric Magnetic Resonance Imaging in the Detection of Clinically Significant Prostate Cancer in the Prostate Imaging Reporting and Data System Era: A Systematic Review and Meta-analysis. Eur Urol. 2020;78:402-14.). The decision to perform PBx is multifactorial including: family history of PCa, race, history of prior biopsy, tumor markers, patient’s anxiety, etc. Many high-volume and reference centers selectively perform or do not perform PBx if mpMRI is classified PIRADS 1-2 (77 Panebianco V, Barchetti G, Simone G, Del Monte M, Ciardi A, Grompone MD, et al. Negative Multiparametric Magnetic Resonance Imaging for Prostate Cancer: What’s Next? Eur Urol. 2018;74:48-54., 2323 van der Leest M, Cornel E, Israël B, Hendriks R, Padhani AR, Hoogenboom M, et al. Head-to-head Comparison of Transrectal Ultrasound-guided Prostate Biopsy Versus Multiparametric Prostate Resonance Imaging with Subsequent Magnetic Resonance-guided Biopsy in Biopsy-naïve Men with Elevated Prostate-specific Antigen: A Large Prospective Multicenter Clinical Study. Eur Urol. 2019;75:570-8.). In fact, there is unmet need of the method to predict the absence of CSPCa in males with negative MRI.

To facilitate personalized decision making without any intervention, we created a nomogram to predict the absence of CSPCa in males with PIRADS 1-2 mpMRI. The strengths/novelties of this study include: I) PBx were performed regardless of PIRADS classification; II) access to a prospectively maintained PBx database; III) all mpMRI followed current PIRADS standards at the time of PBx; IV) mpMRIs were reviewed by experienced radiologists; V) pragmatic sampling with sextant systematic biopsy; VI) inclusion of patients with different biopsy histories representing actual clinical practice; VII) inclusion of different races (minorities); VIII) no influence of any fusion system, since these were all non-targeted systematic biopsies; IX) no additional tests, other than those routinely used on clinical practice that are widely available PSA and PSAD; X) inclusion of mpMRI performed elsewhere allowing for wider use of the nomogram.

Our nomogram predicted the absence of CSPCa on PBx in males with PIRADS 1-2 mpMRI of the prostate using 327 consecutive patients with negative mpMRI. The selected model included age, black ethnicity, history of previous negative PBx, and PSAD ≥0.15ng/mL2 as predictors. Internal validation with 1,000x bootstrapping showed the fair discrimination performance (optimism corrected AUROC: 0.75). The current nomogram was further stratified into inaccurate, equivocal and accurate to deliver a clear information to users evaluating an individual probability of omitting PBx.

Other investigators have explored multifactorial chances of CSPCa on PBx in those with suspicious lesions on mpMRI (44 Distler FA, Radtke JP, Bonekamp D, Kesch C, Schlemmer HP, Wieczorek K, Kirchner M, Pahernik S, Hohenfellner M, Hadaschik BA. The Value of PSA Density in Combination with PI-RADS™ for the Accuracy of Prostate Cancer Prediction. J Urol. 2017;198:575-82., 2424 Mehralivand S, Shih JH, Rais-Bahrami S, Oto A, Bednarova S, Nix JW, et al. A Magnetic Resonance Imaging-Based Prediction Model for Prostate Biopsy Risk Stratification. JAMA Oncol. 2018;4:678-85.). Mehralivand et al. evaluated CSPCa (GG ≥2) detection using mpMRI and clinical variables, including race, in 400 patients with at least one mpMRI suspicious lesion (2424 Mehralivand S, Shih JH, Rais-Bahrami S, Oto A, Bednarova S, Nix JW, et al. A Magnetic Resonance Imaging-Based Prediction Model for Prostate Biopsy Risk Stratification. JAMA Oncol. 2018;4:678-85.). Different from Mehralivand et al, the current study focuses on patients without suspicious lesion on mpMRI.

Black males have increased risk of being diagnosed with PCa and more aggressive PCa (2424 Mehralivand S, Shih JH, Rais-Bahrami S, Oto A, Bednarova S, Nix JW, et al. A Magnetic Resonance Imaging-Based Prediction Model for Prostate Biopsy Risk Stratification. JAMA Oncol. 2018;4:678-85., 2525 Mahal BA, Berman RA, Taplin ME, Huang FW. Prostate Cancer-Specific Mortality Across Gleason Scores in Black vs Nonblack Men. JAMA. 2018;320:2479-81.). Although, Black race is a predictor for CSPCa in males with PIRADS 3-5 mpMRI, to the best of our knowledge this study is the first to demonstrate that Black males with PIRADS 1-2 mpMRI also have increased risk for CSPCa on PBx (88 Pagniez MA, Kasivisvanathan V, Puech P, Drumez E, Villers A, Olivier J. Predictive Factors of Missed Clinically Significant Prostate Cancers in Men with Negative Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis. J Urol. 2020;204:24-32., 2222 Sathianathen NJ, Omer A, Harriss E, Davies L, Kasivisvanathan V, Punwani S, et al. Negative Predictive Value of Multiparametric Magnetic Resonance Imaging in the Detection of Clinically Significant Prostate Cancer in the Prostate Imaging Reporting and Data System Era: A Systematic Review and Meta-analysis. Eur Urol. 2020;78:402-14., 2626 Shin T, Smyth TB, Ukimura O, Ahmadi N, de Castro Abreu AL, Oishi M, et al. Detection of prostate cancer using magnetic resonance imaging/ultrasonography image-fusion targeted biopsy in African-American men. BJU Int. 2017;120:233-8.). Some studies indicated higher aggressive PCa risk of Black males may be because of barriers to medical accessibility instead of genetic characteristics (2727 Hoge C, Verma S, Lama DJ, Bergelson I, Haj-Hamed M, Maynor S, et al. Racial disparity in the utilization of multiparametric MRI-ultrasound fusion biopsy for the detection of prostate cancer. Prostate Cancer Prostatic Dis. 2020;23:567-72., 2828 Riviere P, Luterstein E, Kumar A, Vitzthum LK, Deka R, Sarkar RR, et al. Survival of African American and non-Hispanic white men with prostate cancer in an equal-access health care system. Cancer. 2020;126:1683-90.). In our cohort, age, prostate volume, PSAD, and prior biopsy status were not significantly different between Black males and White males (Table-S2). Family history of PCa was also not significantly different; however, the difference was relatively large (47% vs 27%, p = 0.069). PSA, number of positive cores, the distribution of ISUP grade group, and maximum cancer core % were significantly different between the groups. Based on these results, Black males seemed to have higher risk of aggressive PCa at presentation. In some studies, age was an independent predictor for CSPCa on PBx (77 Panebianco V, Barchetti G, Simone G, Del Monte M, Ciardi A, Grompone MD, et al. Negative Multiparametric Magnetic Resonance Imaging for Prostate Cancer: What’s Next? Eur Urol. 2018;74:48-54., 2929 Liang L, Qi F, Cheng Y, Zhang L, Cao D, Cheng G, et al. Analysis of risk factors for determining the need for prostate biopsy in patients with negative MRI. Sci Rep. 2021;11:6048.). In the current study, age was systematically selected via stepwise backward elimination method. Although age was not a significant predictor for CSPCa, we kept age in the nomogram because of its clinical relevance.

Table S2
Demographics of patients with negative MRI undergoing systematic prostate biopsy comparing Black and White males.

The combination of PSAD and mpMRI has been investigated (44 Distler FA, Radtke JP, Bonekamp D, Kesch C, Schlemmer HP, Wieczorek K, Kirchner M, Pahernik S, Hohenfellner M, Hadaschik BA. The Value of PSA Density in Combination with PI-RADS™ for the Accuracy of Prostate Cancer Prediction. J Urol. 2017;198:575-82.

5 Washino S, Okochi T, Saito K, Konishi T, Hirai M, Kobayashi Y, et al. Combination of prostate imaging reporting and data system (PI-RADS) score and prostate-specific antigen (PSA) density predicts biopsy outcome in prostate biopsy naïve patients. BJU Int. 2017;119:225-33.

6 Oishi M, Shin T, Ohe C, Nassiri N, Palmer SL, Aron M, et al. Which Patients with Negative Magnetic Resonance Imaging Can Safely Avoid Biopsy for Prostate Cancer? J Urol. 2019;201:268-76.

7 Panebianco V, Barchetti G, Simone G, Del Monte M, Ciardi A, Grompone MD, et al. Negative Multiparametric Magnetic Resonance Imaging for Prostate Cancer: What’s Next? Eur Urol. 2018;74:48-54.

8 Pagniez MA, Kasivisvanathan V, Puech P, Drumez E, Villers A, Olivier J. Predictive Factors of Missed Clinically Significant Prostate Cancers in Men with Negative Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis. J Urol. 2020;204:24-32.
-99 Schoots IG, Padhani AR. Risk-adapted biopsy decision based on prostate magnetic resonance imaging and prostate-specific antigen density for enhanced biopsy avoidance in first prostate cancer diagnostic evaluation. BJU Int. 2021;127:175-8., 2323 van der Leest M, Cornel E, Israël B, Hendriks R, Padhani AR, Hoogenboom M, et al. Head-to-head Comparison of Transrectal Ultrasound-guided Prostate Biopsy Versus Multiparametric Prostate Resonance Imaging with Subsequent Magnetic Resonance-guided Biopsy in Biopsy-naïve Men with Elevated Prostate-specific Antigen: A Large Prospective Multicenter Clinical Study. Eur Urol. 2019;75:570-8., 2929 Liang L, Qi F, Cheng Y, Zhang L, Cao D, Cheng G, et al. Analysis of risk factors for determining the need for prostate biopsy in patients with negative MRI. Sci Rep. 2021;11:6048., 3030 Lv Z, Wang J, Wang M, Hou H, Song L, Li H, et al. Is it necessary for all patients with suspicious lesions undergo systematic biopsy in the era of MRI-TRUS fusion targeted biopsy? Int Braz J Urol. 2023;49:359-71.). Pagniez et al. performed systematic review (16 studies) and meta-analyses (8 studies with 1,015 patients) and concluded that PSAD <0.15ng/mL2 in the presence of negative mpMRI was the most useful factor to identify males without CSPCa who could avoid PBx. However, they were unable to evaluate race (88 Pagniez MA, Kasivisvanathan V, Puech P, Drumez E, Villers A, Olivier J. Predictive Factors of Missed Clinically Significant Prostate Cancers in Men with Negative Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis. J Urol. 2020;204:24-32.). Similarly, we selected the PSAD ≥0.15ng/mL2 threshold because of its strong prognostication of CSPCa (Table-S3) (66 Oishi M, Shin T, Ohe C, Nassiri N, Palmer SL, Aron M, et al. Which Patients with Negative Magnetic Resonance Imaging Can Safely Avoid Biopsy for Prostate Cancer? J Urol. 2019;201:268-76., 88 Pagniez MA, Kasivisvanathan V, Puech P, Drumez E, Villers A, Olivier J. Predictive Factors of Missed Clinically Significant Prostate Cancers in Men with Negative Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis. J Urol. 2020;204:24-32.). If physicians use PSAD <0.15ng/mL2 alone for omitting systematic biopsy, 79.8% of systematic PBx for patients with negative MRI can be safely omitted, at the cost of missing 8.8% of CSPCa (Table-S4). The safely omittable systematic biopsy was 9% less than our nomogram using the cutoff of predicted probability 0.75. Regarding missed CSPCa, PSAD 0.15 cutoff is 0.8% less than predicted probability 0.75. Furthermore, to support decision-making, it is important to show how likely CSPCa will be detected. Thus, our nomogram is more useful than PSAD cutoff alone.

Table S3
Univariate analysis of PSAD as a continuous variable and a dichotomous variable.
Table S4
Subdivided performances of PSAD based on different cutoffs to predict the absence of CSPCa on prostate biopsy in males with negative MRI.

This study has limitations. This is a single center study with relatively small cohort. However, this is one of the largest American cohorts evaluating this specific population. Validation with 1,000x bootstrapping is a reasonable approach for such a cohort. Additionally, the nomogram showed a fair discrimination performance. Nevertheless, an external validation should be performed as a future work. The confidence interval was wide with low predicted probability in the "inaccurate" part of the nomogram. Therefore, we stratified and color-coded the nomogram on inaccurate, equivocal, and accurate to allow for straightforward interpretation by users. The accurate part of the nomogram with high prediction probability is useful for informed decision making about whether to skip PBx. Experienced radiologists at a tertiary referral center reviewed the MRIs; thus, the results may not have wide applicability. Nonetheless, external mpMRIs that satisfied the inclusion criteria were included. Twelve-core systematic biopsy as standard reference is less precise than saturation PBx. However, this is the standard of care in many centers. The data herein presented represents real world practice that we believe is applicable to daily practice.

CONCLUSIONS

Our nomogram facilitates evaluation of individual probability of CSPCa on PBx in males with PIRADS 1-2 mpMRI and may be used to identify those in whom PBx may be safely avoided. Black race, history of previous negative PBx and PSAD ≥0.15ng/mL2 were independent predictors for CSPCa on PBx and included in the nomogram. This study also indicated that Black males may have increased risk of CSPCa on PBx, even in the setting of PIRADS 1-2 mpMRI.

  • ETHICAL APPROVAL
    The protocol for this research project has been approved by a suitably constituted Ethics Committee of the institution (IRB# HS-13-00663) and it conforms to the provisions of the Declaration of Helsinki. All informed consent was obtained from the subjects and/or guardians.
    ABBREVIATIONS
  • ADC  apparent diffusion coefficient
  • AS  Active Surveillance
  • AUROC  Area under the receiver operating characteristic
  • CIPCa  Clinically insignificant prostate cancer
  • CSPCa  Clinically significant cancer
  • DCE  dynamic contrast-enhanced
  • DRE  digital rectal examination
  • DWI  diffusion-weighted imaging
  • GG  Grade Group
  • ISUP  International Society of Urological Pathology
  • mpMRI  Multiparametric MRI
  • MRI  magnetic resonance imaging
  • PBx  prostate biopsy
  • PCa  prostate cancer
  • PIRADS  Prostate Imaging-Reporting and Data System
  • PP  Predicted probability
  • PSA  Prostate specific antigen
  • PSAD  Prostate specific antigen density
  • PV  Prostate volume
  • ROC  receiver operating characteristic
  • T2W  T2-weighted
  • TRUS  Transrectal ultrasound
  • USC  University of Southern California

ACKNOWLEDGEMENTS

This study was funded in part by the R01 grant CA205058-01 from the National Institutes of Health/ National Cancer Institute (I.S.G. and A.L.A.).

We sincerely acknowledge Tracy Campanelli Palmer, Clinical Research Regulatory Administrator, for her invaluable support with the prostate biopsy database, and Daianna Lovos, Ultrasound Technician, for the daily support with logistics coordination.

REFERENCES

  • 1
    Bjurlin MA, Carroll PR, Eggener S, Fulgham PF, Margolis DJ, Pinto PA, et al. Update of the Standard Operating Procedure on the Use of Multiparametric Magnetic Resonance Imaging for the Diagnosis, Staging and Management of Prostate Cancer. J Urol. 2020;203:706-12.
  • 2
    Mottet N, Cornford P, van den Bergh R.C.N., Briers E, Eberli D, De Meerleer G, et al. EAU - EANM - ESTRO - ESUR - ISUP-SIOG: Guidelines on Prostate Cancer. European Association of Urology 2023. [Internet]. Available at. <https://d56bochluxqnz.cloudfront.net/documents/full-guideline/EAU-EANM-ESTRO-ESUR-ISUP-SIOG-Guidelines-on-Prostate-Cancer-2023_2023-06-13-141145_owmj.pdf>. Accessed February 5, 2024.
    » https://d56bochluxqnz.cloudfront.net/documents/full-guideline/EAU-EANM-ESTRO-ESUR-ISUP-SIOG-Guidelines-on-Prostate-Cancer-2023_2023-06-13-141145_owmj.pdf>
  • 3
    Ahmed HU, El-Shater Bosaily A, Brown LC, Gabe R, Kaplan R, Parmar MK, et al. Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study. Lancet. 2017;389(10071):815-22.
  • 4
    Distler FA, Radtke JP, Bonekamp D, Kesch C, Schlemmer HP, Wieczorek K, Kirchner M, Pahernik S, Hohenfellner M, Hadaschik BA. The Value of PSA Density in Combination with PI-RADS™ for the Accuracy of Prostate Cancer Prediction. J Urol. 2017;198:575-82.
  • 5
    Washino S, Okochi T, Saito K, Konishi T, Hirai M, Kobayashi Y, et al. Combination of prostate imaging reporting and data system (PI-RADS) score and prostate-specific antigen (PSA) density predicts biopsy outcome in prostate biopsy naïve patients. BJU Int. 2017;119:225-33.
  • 6
    Oishi M, Shin T, Ohe C, Nassiri N, Palmer SL, Aron M, et al. Which Patients with Negative Magnetic Resonance Imaging Can Safely Avoid Biopsy for Prostate Cancer? J Urol. 2019;201:268-76.
  • 7
    Panebianco V, Barchetti G, Simone G, Del Monte M, Ciardi A, Grompone MD, et al. Negative Multiparametric Magnetic Resonance Imaging for Prostate Cancer: What’s Next? Eur Urol. 2018;74:48-54.
  • 8
    Pagniez MA, Kasivisvanathan V, Puech P, Drumez E, Villers A, Olivier J. Predictive Factors of Missed Clinically Significant Prostate Cancers in Men with Negative Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis. J Urol. 2020;204:24-32.
  • 9
    Schoots IG, Padhani AR. Risk-adapted biopsy decision based on prostate magnetic resonance imaging and prostate-specific antigen density for enhanced biopsy avoidance in first prostate cancer diagnostic evaluation. BJU Int. 2021;127:175-8.
  • 10
    Fujihara A, Iwata T, Shakir A, Tafuri A, Cacciamani GE, Gill K, et al. Multiparametric magnetic resonance imaging facilitates reclassification during active surveillance for prostate cancer. BJU Int. 2021;127:712-21.
  • 11
    Barentsz JO, Richenberg J, Clements R, Choyke P, Verma S, Villeirs G, et al. ESUR prostate MR guidelines 2012. Eur Radiol. 2012;22:746-57.
  • 12
    Weinreb JC, Barentsz JO, Choyke PL, Cornud F, Haider MA, Macura KJ, et al. PI-RADS Prostate Imaging - Reporting and Data System: 2015, Version 2. Eur Urol. 2016;69:16-40.
  • 13
    Turkbey B, Rosenkrantz AB, Haider MA, Padhani AR, Villeirs G, Macura KJ, et al. Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2. Eur Urol. 2019;76:340-51.
  • 14
    Tafuri A, Iwata A, Shakir A, Iwata T, Gupta C, Sali A, et al. Systematic Biopsy of the Prostate can Be Omitted in Men with PI-RADS™ 5 and Prostate Specific Antigen Density Greater than 15. J Urol. 2021;206:289-97.
  • 15
    Tafuri A, Ashrafi AN, Palmer S, Shakir A, Cacciamani GE, Iwata A, et al. One-Stop MRI and MRI/transrectal ultrasound fusion-guided biopsy: an expedited pathway for prostate cancer diagnosis. World J Urol. 2020;38:949-56.
  • 16
    Gilberto GM, Arcuri MF, Falsarella PM, Mariotti GC, Lemos PLA Neto, Garcia RG. Complication rates of transrectal and transperineal prostate fusion biopsies - is there a learning curve even in high volume interventional center? Int Braz J Urol. 2023;49:334-40.
  • 17
    Epstein JI, Egevad L, Amin MB, Delahunt B, Srigley JR, Humphrey PA; Grading Committee. The 2014 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma: Definition of Grading Patterns and Proposal for a New Grading System. Am J Surg Pathol. 2016;40:244-52.
  • 18
    [No Authors]. NIH Policy on the Inclusion of Women and Minorities as Subjects in Clinical Research. [Internet]. Available at. <https://grants.nih.gov/policy/inclusion/women-and-minorities/guidelines.htm>. Accessed February 5, 2024.
    » https://grants.nih.gov/policy/inclusion/women-and-minorities/guidelines.htm>
  • 19
    Collins GS, Reitsma JB, Altman DG, Moons KG. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. BMJ. 2015;350:g7594.
  • 20
    Iasonos A, Schrag D, Raj GV, Panageas KS. How to build and interpret a nomogram for cancer prognosis. J Clin Oncol. 2008;26:1364-70.
  • 21
    Steyerberg EW: Nomograms. In: Steyerberg EW (ed.), Clinical Prediction Models A Practical Approach to Development, Validation, and Updating, 2nd edn. Cham, Springer Nature. 2019; pp. 350-2.
  • 22
    Sathianathen NJ, Omer A, Harriss E, Davies L, Kasivisvanathan V, Punwani S, et al. Negative Predictive Value of Multiparametric Magnetic Resonance Imaging in the Detection of Clinically Significant Prostate Cancer in the Prostate Imaging Reporting and Data System Era: A Systematic Review and Meta-analysis. Eur Urol. 2020;78:402-14.
  • 23
    van der Leest M, Cornel E, Israël B, Hendriks R, Padhani AR, Hoogenboom M, et al. Head-to-head Comparison of Transrectal Ultrasound-guided Prostate Biopsy Versus Multiparametric Prostate Resonance Imaging with Subsequent Magnetic Resonance-guided Biopsy in Biopsy-naïve Men with Elevated Prostate-specific Antigen: A Large Prospective Multicenter Clinical Study. Eur Urol. 2019;75:570-8.
  • 24
    Mehralivand S, Shih JH, Rais-Bahrami S, Oto A, Bednarova S, Nix JW, et al. A Magnetic Resonance Imaging-Based Prediction Model for Prostate Biopsy Risk Stratification. JAMA Oncol. 2018;4:678-85.
  • 25
    Mahal BA, Berman RA, Taplin ME, Huang FW. Prostate Cancer-Specific Mortality Across Gleason Scores in Black vs Nonblack Men. JAMA. 2018;320:2479-81.
  • 26
    Shin T, Smyth TB, Ukimura O, Ahmadi N, de Castro Abreu AL, Oishi M, et al. Detection of prostate cancer using magnetic resonance imaging/ultrasonography image-fusion targeted biopsy in African-American men. BJU Int. 2017;120:233-8.
  • 27
    Hoge C, Verma S, Lama DJ, Bergelson I, Haj-Hamed M, Maynor S, et al. Racial disparity in the utilization of multiparametric MRI-ultrasound fusion biopsy for the detection of prostate cancer. Prostate Cancer Prostatic Dis. 2020;23:567-72.
  • 28
    Riviere P, Luterstein E, Kumar A, Vitzthum LK, Deka R, Sarkar RR, et al. Survival of African American and non-Hispanic white men with prostate cancer in an equal-access health care system. Cancer. 2020;126:1683-90.
  • 29
    Liang L, Qi F, Cheng Y, Zhang L, Cao D, Cheng G, et al. Analysis of risk factors for determining the need for prostate biopsy in patients with negative MRI. Sci Rep. 2021;11:6048.
  • 30
    Lv Z, Wang J, Wang M, Hou H, Song L, Li H, et al. Is it necessary for all patients with suspicious lesions undergo systematic biopsy in the era of MRI-TRUS fusion targeted biopsy? Int Braz J Urol. 2023;49:359-71.

Publication Dates

  • Publication in this collection
    27 May 2024
  • Date of issue
    May-Jun 2024

History

  • Received
    11 Feb 2024
  • Accepted
    16 Feb 2024
  • Published
    10 Mar 2024
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