Comparison of whole-prostate radiomics models of disease severity derived from expert and AI based prostate segmentations

Le résumé fourni par la source

A persisting concern is that downstream models of clinical endpoints may depend on whether the contours were drawn by an expert or an AI. Prediction models for surgical margin status, and pathology-based lymph nodes, tumor stage and ISUP grade group were formed using clinical and radiological features along with whole-prostate radiomic features based on manual and AI segmentations of the prostate in 100 patients who proceeded to prostatectomy after multiparametric-MRI. The models based on AI segmented prostates differed from those based on manual segmentation, but with similar if not better performance. Further testing of generalizability of the models is required.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.