Evaluation of a CAM System for Colorectal Polyp Size Measurement (CAM)

February 15, 2025 updated by: Zhaoshen Li, Changhai Hospital

Performance Evaluation of a Computer-aided Measuring System for Colorectal Polyp Size Measurement: a Prospective Study

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.

Study Overview

Detailed Description

This study will be conducted in 2 phases: the first phase will evaluate the value of the application of the computer-aided measuring (CAM) system for polyp size measurement accuracy in a small sample of clinical videos, recording the corresponding clinical videos for CAM measurements after measuring polyp size using real-time visual assessment and non-scaled device (open biopsy forceps or snare) assessment, and comparing the different methods of polyp size measurement through a video-based analysis [Autonomous artificial intelligence (AI) measurement, AI-assisted human measurement, non-scaled device assessment, and visual assessment] with different groups of endoscopists ( experts, gastroenterologists, surgeons, fellows) evaluating the corresponding clinical videos during real-time measurements, to obtain pilot data on the relative accuracy of polyp size measurement when using the CAM system, to test the feasibility of size measurement of freshly resected polyp specimens and to determine the sample size and reference for evaluating the CAM system in the subsequent phases of a randomized controlled trial of the study. The second phase will assess the value of using the AI-assisted human measurement versus the non-scaled device assessment for polyp size measurement accuracy in a clinical randomized controlled trial using a prospective, multicenter, patient-single-blind, randomized controlled trial design in which subjects are randomly assigned to the CAM group and the non-scaled device measurement group in a 1:1 ratio. Each patient will have a maximum of 3 polyps included in the study.

Study Type

Interventional

Enrollment (Estimated)

168

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • Shanghai
      • Shanghai, Shanghai, China, 200433
        • Recruiting
        • Changhai Hospital, Naval Medical University
        • Contact:
        • Contact:
        • Contact:
          • Sheng-Bing Zhao, MD
        • Contact:
          • YU Bai, MD
        • Contact:
          • En-Da Yu, MBBS
        • Contact:
          • Zhao-Shen Li, MD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  1. Adults aged 18-75, any gender; 76-85 years eligible case-by-case based on health status.
  2. Colonoscopy screening, surveillance, or diagnostic participants.
  3. Informed consent obtained.

Exclusion Criteria:

  1. Anticoagulant use (e.g., aspirin, warfarin) within 7 days prior to colonoscopy or coagulopathy.
  2. Inflammatory bowel disease.
  3. Aronchick score >3 at entry.
  4. Incomplete Case Report Form (CRF) data.
  5. Emergency colonoscopy.
  6. Pregnancy or lactation.
  7. Gastrointestinal obstruction.
  8. Refusal to participate.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: Randomized
  • Interventional Model: Factorial Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Polyp size measurement with Artificial intelligence (AI)
Colonoscopies 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.
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.
Other Names:
  • Polyp size measurement with the CAM system
No Intervention: Polyp size measurement without AI
Colonoscopies 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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Evaluation of the computer-aided measuring (CAM) system
Time Frame: 7 days
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 Outcome Measures

Outcome Measure
Measure Description
Time Frame
video-based analysis
Time Frame: 7 days
Compare in video-based analysis with different endoscopists (experts, gastroenterologists, surgeons, fellows) the relative size measurements accuracy of CAM system measurement with visual and non-scaled device assessment. 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
Reliability between CAM system measurement and ground truth measurement
Time Frame: 7 days
Reliability between CAM system measurement, non-scaled device assessment, visual assessment and ground truth measurement is evaluate by concordance correlation coefficient (CCC). CCC is a statistical measure used to evaluate the agreement between two continuous variables.The CCC considers both the correlation and the bias between the two variables. It ranges from -1 to 1;1: Perfect agreement. 0: No agreement. Negative values: Indicate that the variables diverge.
7 days
Time taken for polyp size measurement
Time Frame: 7 days
Measurement time of the AI-assisted human measurement, non-scaled device assessment, and visual estimation refers to the time taken by endoscopists using various measurement methods, starting from when a polyp appears in the field of view for measurement until the report of the polyp size is completed.
7 days
Percentage differences between the AI-assisted human measurement and non-scaled device assessment
Time Frame: 7 days
Calculate 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
Time Frame: 7 days
Evaluate the instances of overestimation or underestimation by the AI-assisted human measurement and non-scaled device assessment.
7 days

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • 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.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

December 15, 2024

Primary Completion (Estimated)

April 1, 2025

Study Completion (Estimated)

April 30, 2025

Study Registration Dates

First Submitted

November 26, 2024

First Submitted That Met QC Criteria

November 28, 2024

First Posted (Actual)

December 4, 2024

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

February 15, 2025

Last Verified

November 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

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.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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