Beyond Gleason Grading: MRI radiomics to differentiate cribriform growth from non-cribriform growth in prostate cancer men

Motivation: Cribriform growth (GP4Crib+) is a Gleason 4 sub-pattern associated with worse prostate cancer outcomes. Identification of GP4Crib+ based on MRI would benefit personalized treatment-decision for intermediate-risk patients. Goal(s): To differentiate GP4Crib+ from non-cribriform and Gleason 3 patterns (GP4Crib-/GP3) using MRI. Approach: T2-weighted, apparent diffusion coefficient (ADC) and fractional blood volume maps from 1.5/3T MRI were used. Histological GP3, GP4Crib- and GP4Crib+ regions were segmented on whole-mount specimens and co-registered to MRI sequences. Radiomics features were extracted and a logistic regression was trained. Results: The model based on 90th percentile ADC feature achieved a ROC-AUC of 0.75 and a Precision-Recall AUC of 0.35 (chance-level:0.10). Impact: This fundamental analysis suggests that 90th Percentile ADC could be useful to identify GP4Crib+ regions in a diagnostic setting.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/2437
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Beyond Gleason Grading: MRI radiomics to differentiate cribriform growth from non-cribriform growth in prostate cancer men

Henk G. van der Poel, Elise M. Bekers, U. van der Heide, Malgorzata Deręgowska-Cylke et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Radiomics and Machine Learning in Medical Imaging
article

Beyond Gleason Grading: MRI radiomics to differentiate cribriform growth from non-cribriform growth in prostate cancer men

Henk G. van der Poel, Elise M. Bekers, U. van der Heide, Malgorzata Deręgowska-Cylke, Pim van Leeuwen, Mar Fernandez Salamanca, Ivo G. Schoots, Marcos Duarte Guimarães, Rita Simões
article en

Abstract

Motivation: Cribriform growth (GP4Crib+) is a Gleason 4 sub-pattern associated with worse prostate cancer outcomes. Identification of GP4Crib+ based on MRI would benefit personalized treatment-decision for intermediate-risk patients. Goal(s): To differentiate GP4Crib+ from non-cribriform and Gleason 3 patterns (GP4Crib-/GP3) using MRI. Approach: T2-weighted, apparent diffusion coefficient (ADC) and fractional blood volume maps from 1.5/3T MRI were used. Histological GP3, GP4Crib- and GP4Crib+ regions were segmented on whole-mount specimens and co-registered to MRI sequences. Radiomics features were extracted and a logistic regression was trained. Results: The model based on 90th percentile ADC feature achieved a ROC-AUC of 0.75 and a Precision-Recall AUC of 0.35 (chance-level:0.10). Impact: This fundamental analysis suggests that 90th Percentile ADC could be useful to identify GP4Crib+ regions in a diagnostic setting.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 65%
Radiomics and Machine Learning in Medical Imaging
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Beyond Gleason Grading: MRI radiomics to differentiate cribriform growth from non-cribriform growth in prostate cancer men — Henk G. van der Poel, Elise M. Bekers, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS