Prediction of clinically relevant Pancreatico-enteric Anastomotic Fistulas after Pancreatoduodenectomy using deep learning of Preoperative Computed Tomography
Wei Mu, Chang Liu, Feng Gao, Yafei Qi, Hong Lü, Zaiyi Liu, Xianyi Zhang, Xiaoli Cai, Ruo Yun Ji, Yang Hou, Jie Tian, Yu Shi
Abstract
Preoperative CT based deep-learning model provides a promising novel method for predicting CR-POPF occurrences after PD, especially at intermediate FRS risk level. This has a potential to be integrated into radiologic reporting system or incorporated into surgical planning software to accommodate the preferences of surgeons to optimize preoperative strategies, intraoperative decision-making, and even postoperative care.
Topics & Concepts
AnastomosisComputed tomographyMedicinePancreaticoduodenectomyRadiologyResectionSurgeryPancreatic and Hepatic Oncology ResearchColorectal Cancer Screening and DetectionRadiomics and Machine Learning in Medical Imaging