A combined prognostic model integrating deep learning-derived digital pathology features and clinical indicators demonstrated enhanced predictive accuracy for pancreatic ductal adenocarcinoma (PDAC) survival. In a study involving 142 postoperative cases, the combined model achieved a Harrell concordance index (c-index) of 0.86 in the training set and 0.77 in the testing set, surpassing the individual clinical (0.76, 0.75) and pathological models (0.82, 0.73). This model shows promise for improved prognostic assessments in PDAC.
Journal Article by Hu K, Bian C (…) Li H et 4 al. in BMC Gastroenterol
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