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You have accessJournal of UrologyProstate Cancer: Detection however, AI models underperform on patients from underprivileged groups. PATHOMIQPRAD is a previously validated AI-based tool that identifies clinically significant histological patterns from whole slide images (WSIs) to predict patient outcome. Here, we show that PATHOMIQPRAD performs equally well with black men as it does with white men. METHODS: 215 radical prostatectomy samples were collected from the Icahn School of Medicine at Mount Sinai to form a held-out test set. Each sample included a digitized H White patients was 7. 921 (p<0. 01). On the subset of samples with an associated genomic score and CAPRA-Score, PATHOMIQPRAD outperformed both methods in predicting MET (CI: PATHOMIQPRAD, 0. 850; CAPRA-S, 0. 669; Genomic score, 0. 708). ROI guided GeoMx RNA and Protein Assay (NanoString Technologies) identified known PCa biomarkers including androgen receptor (AR) target genes in the high-risk ROIs. CONCLUSIONS: PATHOMIQPRAD successfully predicted MET in patients with prostate cancer, with better performance in black patients. PATHOMIQPRAD significantly outperformed the genomic score and CAPRA-S in predicting MET in PCa patients. Further, the identification of molecular drivers of lethal phenotypes may lead to novel therapeutic targets against aggressive PCa in black men. Source of Funding: The Arthur M. Blank Family Foundation © 2024 by American Urological Association Education and Research, Inc. FiguresReferencesRelatedDetails Volume 211Issue 5SMay 2024Page: e1196 Advertisement Copyright & Permissions© 2024 by American Urological Association Education and Research, Inc. Metrics Author Information Dimple Chakravarty More articles by this author Hassan Muhammad More articles by this author Chensu Xie More articles by this author Parag Jain More articles by this author Rachel Brody More articles by this author Lawrence Leung More articles by this author Monali Fatterpekar More articles by this author Wei Huang More articles by this author Swati Bhardwaj More articles by this author Hirak Basu More articles by this author George Wilding More articles by this author Rajat Roy More articles by this author Sujit S. Nair More articles by this author Ashutosh K. Tewari More articles by this author Expand All Advertisement PDF downloadLoading. . .
Chakravarty et al. (Mon,) studied this question.
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