Research on Identifying Critical Surgical Anatomy in Cholecystectomy Videos Based on Deep Learning

Chinese Academy of Sciences

Status: Enrolling

Conditions: Cholecystectomy; Surgical Video Identification

Treatments: Diagnostic Test: AI-assisted Intraoperative Anatomy Analysis

Study type: Observational

Funder types: Other

Identifiers

NCT07158372

CASMI007

Details and patient eligibility

About

Laparoscopic cholecystectomy is a common surgical procedure, but it carries the potential for bile duct injury and other surgical risks. To provide visual assistance to surgeons during surgery and mitigate these risks, this research project aims to develop a real-time object recognition algorithm based on deep learning technology. This algorithm will label key anatomical structures in laparoscopic cholecystectomy videos, providing surgeons with immediate information on dangerous and safe areas.

Full description

Laparoscopic cholecystectomy is a common surgical procedure, but it carries the potential for bile duct injury and other surgical risks. To provide visual assistance to surgeons during surgery and mitigate these risks, this research project aims to develop a real-time object recognition algorithm based on deep learning technology. This algorithm will label key anatomical structures in laparoscopic cholecystectomy videos, providing surgeons with immediate information on dangerous and safe areas.

Enrollment: 200 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Patients aged 18 or above who are diagnosed by a doctor as needing laparoscopic cholecystectomy

Exclusion criteria

• Patients who did not undergo surgery at the original hospital and those whose videos were blurry were excluded.

Trial design

200 participants in 4 patient groups

The First Affiliated Hospital of Zhengzhou University

Description:

patients aged 18 years and older diagnosed with laparoscopic cholecystectomy. We will collect information such as laparoscopic cholecystectomy videos and procedure type, excluding patients who did not undergo surgery at the original hospital or whose videos were blurry.

Treatment:

Diagnostic Test: AI-assisted Intraoperative Anatomy Analysis

Beijing Luhe Hospital, Capital Medical University

Description:

patients aged 18 years and older diagnosed with laparoscopic cholecystectomy. We will collect information such as laparoscopic cholecystectomy videos and procedure type, excluding patients who did not undergo surgery at the original hospital or whose videos were blurry.

Treatment:

Diagnostic Test: AI-assisted Intraoperative Anatomy Analysis

Shanghai East Hospital of Tongji University

Description:

patients aged 18 years and older diagnosed with laparoscopic cholecystectomy. We will collect information such as laparoscopic cholecystectomy videos and procedure type, excluding patients who did not undergo surgery at the original hospital or whose videos were blurry.

Treatment:

Diagnostic Test: AI-assisted Intraoperative Anatomy Analysis

Peking university people's hospital

Description:

patients aged 18 years and older diagnosed with laparoscopic cholecystectomy. We will collect information such as laparoscopic cholecystectomy videos and procedure type, excluding patients who did not undergo surgery at the original hospital or whose videos were blurry

Treatment:

Diagnostic Test: AI-assisted Intraoperative Anatomy Analysis