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Abstract #2437

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

Mar Fernandez Salamanca1, Rita Simões2, Malgorzata Deręgowska-Cylke3, Pim J. van Leeuwen4, Henk G. van der Poel4,5, Elise Bekers6, Marcos A.S. Guimaraes6, Uulke A. van der Heide2, and Ivo G. Schoots1,7
1Radiology, Netherlands Cancer Institute, Amsterdam, Netherlands, 2Radiation Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands, 3Radiology, Medical University of Warsaw, Warsaw, Poland, 4Urology, Netherlands Cancer Institute, Amsterdam, Netherlands, 5Urology, Amsterdam University Medical Centers, Amsterdam, Netherlands, 6Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands, 7Radiology & Nuclear Medicine, Erasmus University Medical Center, Rotterdam, Netherlands

Synopsis

Keywords: Cancer, Prostate, ADC, Biomarkers, Diagnosis/Prediction, Tumors

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.

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