Prognostic value of deep learning-derived body composition in advanced pancreatic cancer-a retrospective multicenter study.

Background: Despite the prognostic relevance of cachexia in pancreatic cancer, individual body composition has not been routinely integrated into treatment planning. In this multicenter study, we investigated the prognostic value of sarcopenia and myosteatosis automatically extracted from routine computed tomography (CT) scans of patients with advanced pancreatic ductal adenocarcinoma (PDAC).

Patients And Methods: We retrospectively analyzed clinical imaging data of 601 patients from three German cancer centers.

Smaller panel, similar results: genomic profiling and molecularly informed therapy in pancreatic cancer.

Background: Pancreatic cancer has a dismal prognosis. One reason is resistance to cytotoxic drugs. Molecularly matched therapies might overcome this resistance but the best approach to identify those patients who may benefit is unknown.