ArticleEuropean urology open science2022
Reducing Biopsies and Magnetic Resonance Imaging Scans During the Diagnostic Pathway of Prostate Cancer: Applying the Rotterdam Prostate Cancer Risk Calculator to the PRECISION Trial Data.
Article in European urology open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Article
- Validation of Stockholm3 for prostate cancer detection in a swiss non-referral cohort: balancing biopsy reduction and diagnostic performance.World journal of urology · 2026Article
- Utility of prostate-specific antigen derivatives to minimize unnecessary magnetic resonance imaging in patients with prior negative prostate biopsy.Scientific reports · 2026Article
- Role of prostate health index (PHI) in prostate cancer screening: cost minimization analysis through simulation modelling.World journal of urology · 2025Observational
- Personalised Prostate Cancer Diagnosis: Evaluating Biomarker-based Approaches to Reduce Unnecessary Magnetic Resonance Imaging and Biopsy Procedures.European urology open science · 2025Review
- Development and validation of biopsy free nomograms for predicting clinically significant prostate cancer in men with PI-RADS 4 and 5 lesions.Scientific reports · 2025Article
- Risk Calculator Strategy Before Magnetic Resonance Imaging Stratification for Biopsy-naïve Men with Suspicion for Prostate Cancer: A Cost-effectiveness Analysis.European urology open science · 2024Article
- The Role of Digital Rectal Examination for Early Detection of Significant Prostate Cancer in the Era of Magnetic Resonance Imaging.Life (Basel, Switzerland) · 2024Article
- The Role of Digital Rectal Examination Prostate Volume Category in the Early Detection of Prostate Cancer: Its Correlation with the Magnetic Resonance Imaging Prostate Volume.The world journal of men's health · 2024Article
- Investigating Efficient Risk-Stratified Pathways for the Early Detection of Clinically Significant Prostate Cancer.Journal of personalized medicine · 2024Article
- The role of PSA density in the MRI pathway for prostate cancer diagnostics.Prostate cancer and prostatic diseases · 2023Article
- A risk-organised model for clinically significant prostate cancer early detection.BJUI compass · 2023Article
- Article
- Magnetic Resonance Imaging-Based Predictive Models for Clinically Significant Prostate Cancer: A Systematic Review.Cancers · 2022Review
- The True Utility of Predictive Models Based on Magnetic Resonance Imaging in Selecting Candidates for Prostate Biopsy.European urology open science · 2022Article
- Article
- Article
- Validation of the Barcelona-MRI predictive model when PI-RADS v2.1 is used with trans-perineal prostate biopsies.International braz j urol : official journal of the Brazilian Society of UrologyArticle
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6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRisk stratification in the diagnostic pathway of prostate cancer (PCa) can be used to reduce biopsies and magnetic resonance imaging (MRI) scans, while maintaining the detection of clinically significant PCa (csPCa). The use of highly discriminating and well-calibrated models will generate better clinical outcomes if context-dependent thresholds are used.
objectiveTo retrospectively assess the effect of the upfront use of the Rotterdam Prostate Cancer Risk Calculator (RPCRC) developed in a screening cohort and the RPCRC-MRI developed in a clinical cohort while exploring the need to adapt thresholds in biopsy-naïve men in the PRECISION (Prostate Evaluation for Clinically Important Disease: Sampling Using Image Guidance or Not?) trial. DESIGN SETTING AND
participantsIn the transrectal ultrasonography arm, we evaluated 188 men; in the MRI arm, we evaluated 206 (for the reduction of MRI scans) and 137 (for the reduction of targeted biopsies) men. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Performance was assessed by discrimination, calibration, and clinical utility. RESULTS AND LIMITATIONS: The performance of the RPCRC was good. However, intercept adjustment was warranted. Net benefit was observed from a recalibrated probability of 32% for any PCa and 10% for csPCa. After recalibration and applying a threshold of 20% for any PCa or 10% for csPCa, 28% of all biopsies could have been reduced, missing five cases of csPCa. The uncalibrated RPCRC could reduce 35% of all MRI scans, with a threshold of 20% for any PCa or 4% for csPCa. In the MRI arm, performance was good without stressing recalibration. Net benefit was observed from a probability of 22% for any PCa and 7% for csPCa. With a threshold of 20% for any PCa or 4% for csPCa, 9% of all targeted biopsies could be reduced, missing one grade group 2 PCa.
conclusionsThe performance of the RPCRC and RPCRC-MRI in men included in the PRECISION trial was good, but recalibration and adaptation of the risk threshold of the RPCRC are indicated to reach optimal performance. PATIENT SUMMARY: In this report, we show that risk stratification with the Rotterdam Prostate Cancer Risk Calculator has added value in reducing harm, but adjustment to reflect the characteristics of the patient cohort is indicated.
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