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
- Henk G. van der Poel (ORCID: https://orcid.org/0000-0002-8772-1120)
- Elise M. Bekers (ORCID: https://orcid.org/0000-0001-5159-1697)
- U. van der Heide
- Malgorzata Deręgowska-Cylke
- Pim van Leeuwen
- Mar Fernandez Salamanca (ORCID: https://orcid.org/0000-0001-8845-1794)
- Ivo G. Schoots (ORCID: https://orcid.org/0000-0002-9804-0603)
- Marcos Duarte Guimarães (ORCID: https://orcid.org/0000-0002-9458-5649)
- Rita Simões
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
- 0.00