Prediction of clinically relevant postoperative pancreatic fistula using radiomic features and preoperative data.

ABSTRACT: Clinically relevant postoperative pancreatic fistula (CR-POPF) can significantly affect the treatment course and outcome in pancreatic cancer patients. Preoperative prediction of CR-POPF can aid the surgical decision-making process and lead to better perioperative management of patients. In this retrospective study of 108 pancreatic head resection patients, we present risk models for the prediction of CR-POPF that use combinations of preoperative computed tomography (CT)-based radiomic features, mesh-based volumes of annotated intra- and peripancreatic structures and preoperative clinical data. The risk signatures were evaluated and analysed in detail by visualising feature expression maps and by comparing significant features to the established CR-POPF risk measures. Out of the risk model

SUBMITTER: Bhasker N 

PROVIDER: S-EPMC10169866 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature