Artificial intelligence model for perigastric blood vessel recognition during laparoscopic radical gastrectomy with D2 lymphadenectomy in locally advanced gastric cancer.

ABSTRACT:

Background

Radical gastrectomy with D2 lymphadenectomy is standard surgical protocol for locally advanced gastric cancer. The surgical experience and skill in recognizing blood vessels and performing lymph node dissection differ between surgeons, which may influence intraoperative safety and postoperative oncological outcomes. Hence, the aim of this study was to develop an accurate and real-time deep learning-based perigastric blood vessel recognition model to assist intraoperative performance.

Methods

This was a retrospective study assessing videos of laparoscopic radical gastrectomy with D2 lymphadenectomy. The model was developed based on DeepLabv3+. Static performance was evaluated using precision, recall, intersection over union, and F1 score. Dynamic performance was ve

SUBMITTER: Chen G 

PROVIDER: S-EPMC11833313 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature