Evaluation of a CAM System for Colorectal Polyp Size Measurement
CAM
Performance Evaluation of a Computer-aided Measuring System for Colorectal Polyp Size Measurement: a Prospective Study
1 other identifier
interventional
168
1 country
1
Brief Summary
Accurate polyp size measurements are essential for risk stratification, selection of polypectomy techniques, and surveillance interval assignments. Evidence indicated that the clinical implementation of artificial intelligence is an optimal tool to improve the measurement of polyps during colonoscopy. This study aimed to evaluate the performance of a computer-aided measuring (CAM) system (EndoDASS) and compare its accuracy with routine sizing methods during real-time colonoscopy.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Dec 2024
Shorter than P25 for not_applicable
1 active site
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
First Submitted
Initial submission to the registry
November 26, 2024
CompletedFirst Posted
Study publicly available on registry
December 4, 2024
CompletedStudy Start
First participant enrolled
December 15, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 1, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
April 30, 2025
CompletedFebruary 19, 2025
November 1, 2024
4 months
November 26, 2024
February 15, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Evaluation of the computer-aided measuring (CAM) system
To evaluate the relative accuracies of the computer-aided measuring (CAM) system measurement (Autonomous AI measurement and AI-assisted human measurement), non-scaled device (open biopsy forceps or snare) assessment or visual assessment for measuring polyp size compared to with measurement of freshly resected polyp specimens by a digital vernier caliper as reference standard. Relative accuracy is defined as "\[1-(CAM system measurement - ground truth measurement)/ground truth measurement\] x100%". Scale: 0-100. Higher score is a better outcome.
7 days
Secondary Outcomes (5)
video-based analysis
7 days
Reliability between CAM system measurement and ground truth measurement
7 days
Time taken for polyp size measurement
7 days
Percentage differences between the AI-assisted human measurement and non-scaled device assessment
7 days
Instances of overestimation or underestimation by the AI-assisted human measurement and non-scaled device assessment
7 days
Study Arms (2)
Polyp size measurement with Artificial intelligence (AI)
EXPERIMENTALColonoscopies will be performed according to the standard of care. Patients will have colonoscopies performed using the computer-aided measuring (CAM) system. All measured fresh polyp specimens will be immediately sized in vitro as the ground truth.
Polyp size measurement without AI
NO INTERVENTIONColonoscopies will be performed according to the standard of care without the CAM system. Patients will undergo a standard colonoscopy. Polyp size measurement will be assessed visually and non-scaled device (open biopsy forceps or snare). All measured fresh polyp specimens will be immediately sized in vitro as the ground truth.
Interventions
The study of real-time polyp size measurement using the CAM system will be conducted in two phases. Phase I (pilot phase, n=24 polyps, about 27 patients) will be used to assess the feasibility of applying the CAM system in real-time in a clinical video in order to obtain pilot data on the relative accuracy of assessing polyp sizes using autonomous AI measurement and AI-assisted human measurement and to determine the relative accuracy of assessing polyp size in Phase II of the study ( Randomized Controlled Trial) to assess the sample size and reference standards for the CAM system. The sample size for the second phase of the randomized controlled trial (comparing AI-assisted human measurement to non-scaled device) will be based on pilot data in order to compare the relative accuracy of polyp size measurement with AI-assisted human measurement versus non-scaled device in clinical practice.
Eligibility Criteria
You may qualify if:
- Adults aged 18-75, any gender; 76-85 years eligible case-by-case based on health status.
- Colonoscopy screening, surveillance, or diagnostic participants.
- Informed consent obtained.
You may not qualify if:
- Anticoagulant use (e.g., aspirin, warfarin) within 7 days prior to colonoscopy or coagulopathy.
- Inflammatory bowel disease.
- Aronchick score \>3 at entry.
- Incomplete Case Report Form (CRF) data.
- Emergency colonoscopy.
- Pregnancy or lactation.
- Gastrointestinal obstruction.
- Refusal to participate.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Changhai Hospital, Naval Medical University
Shanghai, Shanghai Municipality, 200433, China
Related Publications (32)
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Study Officials
- PRINCIPAL INVESTIGATOR
Sheng-Bing Zhao, MD
Department of Gastroenterology, National Clinical Research Center for Digestive Diseases, Changhai Hospital, Naval Medical University, Shanghai 200433, China.
- STUDY DIRECTOR
Yu Bai, MD
Department of Gastroenterology, National Clinical Research Center for Digestive Diseases, Changhai Hospital, Naval Medical University, Shanghai 200433, China.
- STUDY DIRECTOR
En-Da Yu, MBBS
Department of Colorectal Surgery and Gastrointestinal Endoscopy Center, Changhai hospital, Naval Medical University, Shanghai 200433, China.
- STUDY CHAIR
Zhao-Shen Li, MD, PhD
Department of Gastroenterology, National Clinical Research Center for Digestive Diseases, Changhai Hospital, Naval Medical University, Shanghai 200433, China.
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Masking Details
- Randomization will be concealed. The patient will be blind to the assigned groups. The endoscopist will be blind to the allocated groups until the polyp is identified.
- Purpose
- DIAGNOSTIC
- Intervention Model
- FACTORIAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Director of Gastroenterology Dept and Digestive Endoscopy Center
Study Record Dates
First Submitted
November 26, 2024
First Posted
December 4, 2024
Study Start
December 15, 2024
Primary Completion
April 1, 2025
Study Completion
April 30, 2025
Last Updated
February 19, 2025
Record last verified: 2024-11
Data Sharing
- IPD Sharing
- Will share
IPD data can be shared with investigators who propose to use the data under the approval of an independent review committee. Data can only be used for the goals specified in the proposal. Data sharing will be implemented between 6-18 months after article publication with a data-sharing agreement signed. Yu Bai can be contacted at the corresponding email.