LC-Smart: A Deep Learning-Based Quality Control Model for Laparoscopic Cholecystectomy

NCT06732271 | Completed DMC

• 1 other identifier: SYSKY-2024-1015-01
• Study Type: observational
• Target: 308
• Locations: 1 country
• Sites: 1

Brief Summary

Objective: Critical view of safety (CVS) is a successful technique to reduce bile duct injury during laparoscopic cholecystectomy (LC). We aimed to create a deep learning-based quality control model for LC and reduce the learning curve for junior surgeons, which would automatically assess whether surgeons are CVS conscious during procedures.Methods: We retrospectively collected 308 LC videos from public datasets (Cholec80, Endoscapes) and Sun Yat-sen Memorial Hospital. Video frames were labeled using binary classification and feature optimization methods, such as black border clipping and sliding windows. Two neural networks, ResNet-50 and EfficientNetV2-S, were trained and evaluated based on F1 scores and accuracy. Additionally, We created an online CVS recognition system (LC-Smart), tested it using 171 films from two hospitals, and compared the results to two local senior doctors.

Conditions

Laparoscopic Cholecystectomy

Outcome Measures

Primary Outcomes (1)

• the surgical time

  Nov/2023-Nov/2024

Eligibility Criteria

• Sex: all
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

people with laparoscopic cholecystectomy

You may qualify if:

• complete video data with no missing footage;
• surgical procedure identified as laparoscopic cholecystectomy;
• full visibility of the surgical area in the video;
• successful completion of the procedure;
• absence of significant anatomical variations
• video resolution no less than 720×560.

You may not qualify if:

• substantial intraoperative adhesions
• a history of previous abdominal or pelvic procedures
• a conversion to open surgery during the procedure
• significant bleeding that obscured structural identification.

Sponsors & Collaborators

• Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University: lead

Study Sites (1)

Sun Yat-sen Memorial Hospital,SUn Yat-sen UNiversity

Guangzhou, Guangdong, 510220, China

Location

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: December 9, 2024
• First Posted: December 13, 2024
• Study Start: October 24, 2024
• Primary Completion: November 24, 2024
• Study Completion: November 30, 2024
• Last Updated: December 13, 2024

Record last verified: 2024-12

Locations

CN (1)