Prognostic value of anthropometric measures extracted from whole-body CT using deep learning in patients with non-small-cell lung cancer

ConclusionThe BSA-normalized VAT/SAT ratio is an independent predictor of both PFS and OS in NSCLC patients.Key Points•Deep learning will make CT-derived anthropometric measures clinically usable as they are currently too time-consuming to calculate in routine practice.•Whole-body CT-derived anthropometrics in non-small-cell lung cancer are associated with progression-free survival and overall survival.•A priori medical knowledge can be implemented in the neural network loss function calculation.
Source: European Radiology - Category: Radiology Source Type: research