Dynamic key vascular anatomy dataset for D2 lymph node dissection during laparoscopic gastric cancer surgery.

ABSTRACT: Gastric cancer (GC) is the fifth most common malignant tumor worldwide. Surgical resection remains the primary treatment for GC, with laparoscopic surgery recommended by several international guidelines. Due to complex perigastric vessels, standard D2 lymph node dissection (LND) in laparoscopic GC (LapGC) surgery is challenging. Careful dissection is required to expose, dissect, and ligate vessels without injury, ensuring radical LND. Computer vision has the potential to assist in the identification of key vessels during LapGC surgery, thereby reducing the risk of vascular injury. However, existing publicly available surgical anatomy datasets mainly focus on organ segmentation and simple surgeries. To address the clinical challenges and research needs outlined above, we present the LapGC K

SUBMITTER: Gou L 

PROVIDER: S-EPMC12123031 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature