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
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Cheng-Long Wang, MD
- Phone Number: +86-18257806772
- Email: sunshinewangcl@126.com
Study Contact Backup
- Name: Xiang-Yu Sui, MD
- Phone Number: +86-19916549745
- Email: sui.xiangyu@hotmail.com
Study Locations
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Shanghai
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Shanghai, Shanghai, China, 200433
- Recruiting
- Changhai Hospital, Naval Medical University
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Contact:
- Cheng-Long Wang, MD
- Phone Number: +86-18257806772
- Email: sunshinewangcl@126.com
-
Contact:
- Xiang-Yu Sui, MD
- Phone Number: +86-19916549745
- Email: sui.xiangyu@hotmail.com
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Contact:
- Sheng-Bing Zhao, MD
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Contact:
- YU Bai, MD
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Contact:
- En-Da Yu, MBBS
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Contact:
- Zhao-Shen Li, MD
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- 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.
Exclusion Criteria:
- 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.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Randomized
- Interventional Model: Factorial Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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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.
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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:
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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.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Evaluation of the computer-aided measuring (CAM) system
Time Frame: 7 days
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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.
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7 days
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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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.
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7 days
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Reliability between CAM system measurement and ground truth measurement
Time Frame: 7 days
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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.
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7 days
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Time taken for polyp size measurement
Time Frame: 7 days
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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.
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7 days
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Percentage differences between the AI-assisted human measurement and non-scaled device assessment
Time Frame: 7 days
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Calculate percentage differences between the AI-assisted human measurement and non-scaled device assessment.
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7 days
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Instances of overestimation or underestimation by the AI-assisted human measurement and non-scaled device assessment
Time Frame: 7 days
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Evaluate the instances of overestimation or underestimation by the AI-assisted human measurement and non-scaled device assessment.
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7 days
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
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
General Publications
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- Djinbachian R, Haumesser C, Taghiakbari M, Pohl H, Barkun A, Sidani S, Liu Chen Kiow J, Panzini B, Bouchard S, Deslandres E, Alj A, von Renteln D. Autonomous Artificial Intelligence vs Artificial Intelligence-Assisted Human Optical Diagnosis of Colorectal Polyps: A Randomized Controlled Trial. Gastroenterology. 2024 Jul;167(2):392-399.e2. doi: 10.1053/j.gastro.2024.01.044. Epub 2024 Feb 7.
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- Su R, Liu J, Wu B, Xie Y, Zhang Y, Zhang W, Zhang Y, Wan M, Tian Z, Hu Y. Accurate measurement of colorectal polyps using computer-aided analysis. Eur J Gastroenterol Hepatol. 2021 May 1;33(5):701-708. doi: 10.1097/MEG.0000000000002162.
- Zuo W, Dai Y, Huang X, Peng RQ, Li X, Liu H. Evaluation of the competence of an artificial intelligence-assisted colonoscopy system in clinical practice: A post hoc analysis. Front Med (Lausanne). 2023 Apr 6;10:1158574. doi: 10.3389/fmed.2023.1158574. eCollection 2023.
- Kwak MS, Cha JM, Jeon JW, Yoon JY, Park JW. Artificial intelligence-based measurement outperforms current methods for colorectal polyp size measurement. Dig Endosc. 2022 Sep;34(6):1188-1195. doi: 10.1111/den.14318. Epub 2022 May 19.
- Plumb AA, Nickerson C, Wooldrage K, Bassett P, Taylor SA, Altman D, Atkin W, Halligan S. Terminal digit preference biases polyp size measurements at endoscopy, computed tomographic colonography, and histopathology. Endoscopy. 2016 Oct;48(10):899-908. doi: 10.1055/s-0042-108727. Epub 2016 Jul 21.
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- Taghiakbari M, Djinbachian R, Haumesser C, Sidani S, Chen Kiow JL, Panzini B, von Renteln D. Measuring Size of Colorectal Polyps Using a Virtual Scale Endoscope or Visual Assessment: A Randomized Controlled Trial. Am J Gastroenterol. 2024 Jul 1;119(7):1309-1317. doi: 10.14309/ajg.0000000000002623. Epub 2023 Dec 12.
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- Rex DK, Rabinovitz R. Variable interpretation of polyp size by using open forceps by experienced colonoscopists. Gastrointest Endosc. 2014 Mar;79(3):402-7. doi: 10.1016/j.gie.2013.08.030. Epub 2013 Oct 8.
- Zessner-Spitzenberg J, Waldmann E, Rockenbauer LM, Demschik A, Penz D, Trauner M, Ferlitsch M. Polyp size is associated with colorectal cancer death across histologic polyp subtypes: a retrospective study of a screening colonoscopy registry. Endoscopy. 2024 Nov;56(11):820-827. doi: 10.1055/a-2339-0146. Epub 2024 Jun 27.
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Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- CHEC2024-389
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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