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The Mount Sinai Prebiopsy Risk Calculator for Predicting any Prostate Cancer and Clinically Significant Prostate
Sneha Parekh1, Parita Ratnani1, Ugo Falagario1,2
1Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
A new online tool, the Mount Sinai Prebiopsy Risk Calculator, accurately predicts prostate cancer (PCa) and clinically significant prostate cancer (csPCa) risk using clinical and MRI data.
Area of Science:
- Urology
- Medical Imaging
- Oncology
Background:
- European Association of Urology guidelines advocate for imaging, biomarkers, and risk calculators in prostate cancer risk assessment.
- Risk calculators integrating multiparametric MRI and prebiopsy variables enhance individualized decision-making for at-risk patients.
- Advanced neural networking improves the reliability of prostate cancer risk prediction tools.
Purpose of the Study:
- To develop a comprehensive, web-based risk prediction tool for prostate cancer (PCa) and clinically significant PCa (csPCa).
- The tool aims to assist biopsy-naïve men, those with prior negative biopsies, prior low-grade cancer, or negative MRI.
- Utilizes magnetic resonance imaging (MRI) and clinical data for risk assessment.
Main Methods:
- Prospective data from 1902 men undergoing biopsy at Mount Sinai (October 2013-September 2021) were analyzed.
- Univariable and multivariable analyses identified predictors including PSA, MRI scores, and biopsy status.
- Validation employed advanced neural networking (ANN), the PROMOD European cohort, and the ERSPC RC 3/4 calculator.
Main Results:
- The prediction model, incorporating clinical data, achieved an 81.9% AUC for predicting any PCa and csPCa.
- External validation showed strong performance: AUCs for any PCa were 0.82 (PROMOD), 0.70 (ERSPC RC), and 0.90 (ANN).
- External validation AUCs for csPCa were 0.82 (PROMOD), 0.78 (ERSPC RC), and 0.92 (ANN).
Conclusions:
- The Mount Sinai Prebiopsy Risk Calculator (MSP-RC) effectively predicts PCa and csPCa risk across various patient scenarios.
- Validated in European cohorts and ANN, the tool demonstrates broad applicability and efficiency.
- The free, online calculator aids clinicians in patient counseling and treatment decisions.
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