Research on Identifying Critical Surgical Anatomy in Cholecystectomy Videos Based on Deep Learning
1 other identifier
observational
200
1 country
5
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Aug 2025
Typical duration for all trials
5 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
August 15, 2025
CompletedFirst Submitted
Initial submission to the registry
August 28, 2025
CompletedFirst Posted
Study publicly available on registry
September 5, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 15, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
August 15, 2028
September 5, 2025
August 1, 2025
1 year
August 28, 2025
August 28, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Dice Similarity Coefficient
Dice Similarity Coefficient is a statistical measure of the similarity between two sets of data. In the context of image segmentation, it is used to quantify the spatial overlap between a predicted segmentation mask and its corresponding ground truth mask.
3 years
Mean Intersection over Union
Mean Intersection over Union provides a measure of the overlap between the predicted segmentation and the ground truth, averaged across all classes present in the dataset.
3 years
Global Accuracy
The proportion of correctly classified pixels out of the total number of pixels in the image.
3 years
Secondary Outcomes (1)
Inference Latency
3 years
Other Outcomes (1)
Class-Specific Precision and Recall for Critical Structures
3 years
Study Arms (4)
The First Affiliated Hospital of Zhengzhou University
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.
Beijing Luhe Hospital, Capital Medical University
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.
Shanghai East Hospital of Tongji University
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.
Peking university people's hospital
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
Interventions
This is a prospective study on patients aged 18 years or more 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.
Eligibility Criteria
Patients aged 18 or above who are diagnosed by a doctor as needing laparoscopic cholecystectomy
You may qualify if:
- Patients aged 18 or above who are diagnosed by a doctor as needing laparoscopic cholecystectomy
You may not qualify if:
- Patients who did not undergo surgery at the original hospital and those whose videos were blurry were excluded.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Chinese Academy of Scienceslead
- The First Affiliated Hospital of Zhengzhou Universitycollaborator
- Capital Medical Universitycollaborator
- Beijing Anzhen Hospitalcollaborator
- Shanghai East Hospital of Tongji Universitycollaborator
- Peking University People's Hospitalcollaborator
Study Sites (5)
The First Affiliated Hospital of Zhengzhou University
Zhengzhou, Henan, China
Beijing Anzhen Hospital, Capital Medical University
Beijing, China
Beijing Luhe Hospital, Capital Medical University
Beijing, China
Peking university people's hospital
Beijing, China
Shanghai East Hospital of Tongji University
Shanghai, China
Biospecimen
We are collecting laparoscopic cholecystectomy videos and related information. We plan to collect 2,000 retrospective and 200 prospective cases. Enrollment is limited to 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.
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER GOV
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
August 28, 2025
First Posted
September 5, 2025
Study Start
August 15, 2025
Primary Completion (Estimated)
August 15, 2026
Study Completion (Estimated)
August 15, 2028
Last Updated
September 5, 2025
Record last verified: 2025-08