Diagnostic performance benchmarks of MRI for prostate cancer: a large-scale cohort study of 33,759 patients

Abstract Objective To evaluate the real-world diagnostic performance of PI-RADS for detecting clinically significant prostate cancer (csPCa) across large-scale worldwide cohorts. Materials and methods This multicenter observational study included 20,429 patients from nine Chinese institutions and a published worldwide meta-analysis dataset comprising 13,330 patients for comparison. All PI-RADS assessments were extracted from original MRI reports produced by clinical radiologists as part of standard diagnostic workflows. Summary receiver operating characteristic curves were constructed using a bivariate random-effects model, and center-level areas under the curve (AUCs) were pooled via random-effects meta-analysis. Subgroup analyses were conducted. Results PI-RADS exhibited overall discriminatory performance for csPCa across nine Chinese cohorts comparable to the META results from 70 studies, though significant inter-center variation was observed. Using a PI-RADS ≥ 3 threshold, pooled sensitivity was 92.6% and specificity was 51.5%. At a PI-RADS ≥ 4 threshold, pooled specificity improved to 78.1%, with a sensitivity of 81.5%. The overall diagnostic performance was consistent across thresholds: The summary ROC (SROC) AUC was 0.903 for PI-RADS ≥ 3 and 0.826 for PI-RADS ≥ 4 in detecting csPCa at the meta-analysis level. Subgroup analyses indicated better performance among older patients (≥ 70 years) and those with higher PSA levels (> 20 ng/mL). PI-RADS v2.1 outperformed v2 or earlier versions in most clinical scenarios. Conclusions This large-scale real-world study provides critical multicenter evidence supporting the use of PI-RADS in clinical practice worldwide, while also revealing substantial variability in scoring and diagnostic performance across institutions. The findings offer an evidence-based overview of PI-RADS implementation in China and worldwide, highlighting both its utility and inconsistencies. Key Points Question What are the real-world PI-RADS diagnostic performance benchmarks for clinically significant prostate cancer detection across diverse Chinese multicenter institutions versus global data? Findings PI-RADS demonstrated good overall performance (SROC AUC 0.903 at a threshold of ≥ 3), with superior discriminatory ability in older patients, higher PSA levels, and v2.1 users. Critical relevance statement This article critically assesses substantial inter-institutional heterogeneity in PI-RADS performance, highlighting that pooled estimates should not replace local calibration and that regionally adapted implementation strategies are essential for advancing clinical radiology practice.

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Publication Details

Journal
Insights into Imaging
Published
2026-11-04
DOI
https://doi.org/10.1186/s13244-026-02460-9
Primary Topic
Prostate Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Diagnostic performance benchmarks of MRI for prostate cancer: a large-scale cohort study of 33,759 patients

Yueting Su, Libiao Ji, Hailin Shen, Jie Bao et al.
Insights into Imaging
Prostate Cancer Diagnosis and Treatment
article

Diagnostic performance benchmarks of MRI for prostate cancer: a large-scale cohort study of 33,759 patients

Yueting Su, Libiao Ji, Hailin Shen, Jie Bao, Yu‐Dong Zhang, Litao Zhao, Huijuan Tu, Xiaoying WANG, Yanting Ji, Zhen Li, Pengfei Jin, Chunhong Hu, Mulin Su, Ximing Wang
article en

Abstract

Abstract Objective To evaluate the real-world diagnostic performance of PI-RADS for detecting clinically significant prostate cancer (csPCa) across large-scale worldwide cohorts. Materials and methods This multicenter observational study included 20,429 patients from nine Chinese institutions and a published worldwide meta-analysis dataset comprising 13,330 patients for comparison. All PI-RADS assessments were extracted from original MRI reports produced by clinical radiologists as part of standard diagnostic workflows. Summary receiver operating characteristic curves were constructed using a bivariate random-effects model, and center-level areas under the curve (AUCs) were pooled via random-effects meta-analysis. Subgroup analyses were conducted. Results PI-RADS exhibited overall discriminatory performance for csPCa across nine Chinese cohorts comparable to the META results from 70 studies, though significant inter-center variation was observed. Using a PI-RADS ≥ 3 threshold, pooled sensitivity was 92.6% and specificity was 51.5%. At a PI-RADS ≥ 4 threshold, pooled specificity improved to 78.1%, with a sensitivity of 81.5%. The overall diagnostic performance was consistent across thresholds: The summary ROC (SROC) AUC was 0.903 for PI-RADS ≥ 3 and 0.826 for PI-RADS ≥ 4 in detecting csPCa at the meta-analysis level. Subgroup analyses indicated better performance among older patients (≥ 70 years) and those with higher PSA levels (> 20 ng/mL). PI-RADS v2.1 outperformed v2 or earlier versions in most clinical scenarios. Conclusions This large-scale real-world study provides critical multicenter evidence supporting the use of PI-RADS in clinical practice worldwide, while also revealing substantial variability in scoring and diagnostic performance across institutions. The findings offer an evidence-based overview of PI-RADS implementation in China and worldwide, highlighting both its utility and inconsistencies. Key Points Question What are the real-world PI-RADS diagnostic performance benchmarks for clinically significant prostate cancer detection across diverse Chinese multicenter institutions versus global data? Findings PI-RADS demonstrated good overall performance (SROC AUC 0.903 at a threshold of ≥ 3), with superior discriminatory ability in older patients, higher PSA levels, and v2.1 users. Critical relevance statement This article critically assesses substantial inter-institutional heterogeneity in PI-RADS performance, highlighting that pooled estimates should not replace local calibration and that regionally adapted implementation strategies are essential for advancing clinical radiology practice.

Insights into ImagingVol. 17(1)
Chinese University of Hong Kong (HK), Soochow University (CN), Suzhou Kowloon Hospital (CN), Zhejiang Cancer Hospital (CN), Zhangjiagang First People's Hospital (CN), The Affiliated Taizhou People's Hospital of Nanjing Medical University (CN), Traditional Chinese Medicine Hospital of Kunshan (CN), Changshu No.1 People's Hospital (CN), Peking University First Hospital (CN), Jiangsu Province Hospital (CN), First Affiliated Hospital of Soochow University (CN), Tongji Hospital (CN)
Openalex Percentile: Top 13%
Prostate Cancer Diagnosis and Treatment
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