Personalized and accurate survival risk prognostication remains a significant challenge in pancreatic ductal adenocarcinoma (PDAC), despite extensive research on prognostic and predictive markers. Patients with PDAC are prone to muscle loss, fat consumption, and malnutrition, which is associated with inferior outcomes. This study investigated the use of three-dimensional (3D) anthropometric parameters derived from computed tomography (CT) scans and hematological indicators in relation to overall survival (OS) outcomes and postoperative complications in PDAC patients.
A retrospective analysis was conducted on patients with PDAC, all of whom had undergone pretreatment abdomen-pelvis CT scans. Automatic 3D measurements of subcutaneous and visceral fat volume, skeletal muscle volume, and skeletal muscle density (SMD) were assessed at the L3 vertebral level by an artificial intelligence assisted diagnosis system (HY Medical). Various indicators including TyG-BMI, nutritional indicators \[geriatric nutritional risk index (GNRI) and prealbumin\], and inflammation indicators \[(C-reactive protein (CRP) and neutrophil to lymphocyte ratio (NLR)\] were also recorded.
