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Evaluation of a CAM System for Colorectal Polyp Size Measurement
Sponsor: Changhai Hospital
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.
Official title: Performance Evaluation of a Computer-aided Measuring System for Colorectal Polyp Size Measurement: a Prospective Study
Key Details
Gender
All
Age Range
18 Years - 85 Years
Study Type
INTERVENTIONAL
Enrollment
168
Start Date
2024-12-15
Completion Date
2025-04-30
Last Updated
2025-02-19
Healthy Volunteers
No
Conditions
Interventions
Polyp size measurement using autonomous AI measurement or AI-assisted human measurement with the CAM system
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.
Locations (1)
Changhai Hospital, Naval Medical University
Shanghai, Shanghai Municipality, China