Restriction Spectrum Imaging as a Quantitative Biomarker for Prostate Cancer With Reliable Positive Predictive Value
- PMID: 40377262
- PMCID: PMC12334330
- DOI: 10.1097/JU.0000000000004611
Restriction Spectrum Imaging as a Quantitative Biomarker for Prostate Cancer With Reliable Positive Predictive Value
Abstract
Purpose: The positive predictive value of the Prostate Imaging Reporting and Data System (PI-RADS) for clinically significant prostate cancer (csPCa, grade group [GG] ≥2) varies widely between radiologists. The restriction spectrum imaging restriction score (RSIrs) is a biophysics-based metric derived from diffusion MRI that could be an objectively interpretable biomarker for csPCa. We aimed to evaluate performance of RSIrs for patient-level detection of csPCa in a large and heterogenous dataset, and to combine RSIrs with clinical and imaging parameters for csPCa detection.
Materials and methods: At 7 centers, participants underwent prostate MRI between January 2016 and March 2024. We calculated patient-level csPCa probability based on maximum RSIrs in the prostate and compared patient-level csPCa detection to apparent diffusion coefficient (ADC) and PI-RADS using AUC. We also evaluated csPCa discrimination by GG and combining RSIrs with clinical risk factors through multivariable regression.
Results: Among patients who met the inclusion criteria (n = 1892), probability of csPCa increased with higher RSIrs. Among biopsy-naïve patients (n = 877), AUCs for GG ≥ 2 vs non-csPCa were RSIrs = 0.73 (0.69-0.76), ADC = 0.54 (0.50-0.57), and PI-RADS = 0.75 (0.71-0.78). RSIrs significantly outperformed ADC (P < .01) and was comparable with PI-RADS (P = .31). RSIrs and PI-RADS combined outperformed either alone. The model with RSIrs, PI-RADS, age, and PSA density achieved the best discrimination of csPCa.
Conclusions: RSIrs is an accurate and reliable quantitative biomarker that performs better than conventional ADC and comparably with expert-defined PI-RADS for patient-level detection of csPCa. RSIrs provides objective estimates of probability of csPCa that do not require radiology expertise.
Keywords: diffusion-weighted imaging; prostate MRI; prostate cancer detection; quantitative biomarker; restriction spectrum imaging.
Conflict of interest statement
Tyler M. Seibert reports honoraria from CorTechs Labs, Varian Medical Systems, WebMD, GE Healthcare, and Janssen. TMS has an equity interest in CorTechs Labs, Inc, and serves on its scientific advisory board. TMS has received in-kind research support from GE Healthcare via a research agreement with the University of California, San Diego. These companies might potentially benefit from the research results. The terms of these arrangements have been reviewed and approved by the University of California, San Diego in accordance with its conflict-of-interest policies. Anders M. Dale is a founder of and holds equity in CorTechs Labs, Inc, and serves on its scientific advisory board. AMD is a member of the scientific advisory board of Human Longevity, Inc, and receives funding through research agreements with GE Healthcare. Rebecca Rakow-Penner is a consultant of Human Longevity Inc. RRP has stock options at Cortech Labs and Curemetrix. RRP is a consultant of Curemetrix and is in the advisory board of Imagine Scientific. RRP has a research agreement with SBIR GE Healthcare and is a Bayer consultant. Michael E. Hahn reports honoraria from Multimodal Imaging Services Corporation and research funding from GE Healthcare. Michael A. Liss is the Founder/President of Oncobiomix, with no relation to this manuscript. MAL discloses that research reported in this publication was supported by the National Cancer Institute of the National Institutes of Health under Award Number R01CA279667 and that the manuscript’s content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The spouse of Sophia C Kamran is employed by Sanof. Sean A Woolen was supported by funding from the ARRS Scholarship for professional development and has received investigator-initiated research grants from Siemens Healthineers and General Electric. Daniel JA Margolis reports a clinical advisor role for Stratagen Bio and an ad hoc consultant role for Guerbet and Promaxo.
Comment in
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Editorial Comment.J Urol. 2025 Sep;214(3):268-269. doi: 10.1097/JU.0000000000004620. Epub 2025 Jun 4. J Urol. 2025. PMID: 40464320 No abstract available.
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Editorial Comment.J Urol. 2025 Sep;214(3):269-270. doi: 10.1097/JU.0000000000004621. Epub 2025 Jun 4. J Urol. 2025. PMID: 40464329 No abstract available.
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