The potential of machine learning to predict postoperative pancreatic fistula based on preoperative, non-contrast-enhanced CT: A proof-of-principle study
Postoperative pancreatic fistula remains an unsolved challenge after pancreatoduodenectomy. Important in this regard is the presence of a soft pancreatic texture which is a major risk factor. Advances in machine learning and texture analysis of medical images allow identification of features of parenchyma that are invisible to the human eye. The aim of this study was to investigate the potential of machine learning to predict postoperative pancreatic fistula based on preoperative, non-contrast-enhanced computed tomography.
Source: Surgery - Category: Surgery Authors: Patryk Kambakamba, Manoj Mannil, Paola E. Herrera, Philip C. M üller, Christoph Kuemmerli, Michael Linecker, Jochen von Spiczak, Martin W. Hüllner, Dimitri A. Raptis, Henrik Petrowsky, Pierre-Alain Clavien, Hatem Alkadhi Source Type: research