- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06715384
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
Status
Recruiting
Conditions
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
- 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
-
-
Shanghai
-
Shanghai, Shanghai, China, 200433
- Recruiting
- Changhai Hospital, Naval Medical University
-
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
-
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:
- 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
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:
|
|
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.
Sponsor
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
- Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021 May;71(3):209-249. doi: 10.3322/caac.21660. Epub 2021 Feb 4.
- Hassan C, Antonelli G, Dumonceau JM, Regula J, Bretthauer M, Chaussade S, Dekker E, Ferlitsch M, Gimeno-Garcia A, Jover R, Kalager M, Pellise M, Pox C, Ricciardiello L, Rutter M, Helsingen LM, Bleijenberg A, Senore C, van Hooft JE, Dinis-Ribeiro M, Quintero E. Post-polypectomy colonoscopy surveillance: European Society of Gastrointestinal Endoscopy (ESGE) Guideline - Update 2020. Endoscopy. 2020 Aug;52(8):687-700. doi: 10.1055/a-1185-3109. Epub 2020 Jun 22.
- Sudarevic B, Sodmann P, Kafetzis I, Troya J, Lux TJ, Sassmannshausen Z, Herlod K, Schmidt SA, Brand M, Schottker K, Zoller WG, Meining A, Hann A. Artificial intelligence-based polyp size measurement in gastrointestinal endoscopy using the auxiliary waterjet as a reference. Endoscopy. 2023 Sep;55(9):871-876. doi: 10.1055/a-2077-7398. Epub 2023 Apr 20.
- Siegel RL, Giaquinto AN, Jemal A. Cancer statistics, 2024. CA Cancer J Clin. 2024 Jan-Feb;74(1):12-49. doi: 10.3322/caac.21820. Epub 2024 Jan 17. Erratum In: CA Cancer J Clin. 2024 Mar-Apr;74(2):203. doi: 10.3322/caac.21830.
- Wang J, Chen X, Wu L, et al. An artificial intelligence-based system for measuring the size of gastrointestinal lesions under endoscopy (with video). Chinese Journal of Digestive Endoscopy. 2022;39(12):965-971.
- Wu Y, Shih FY, Wang C, et al. The Deep Hybrid Neural Network and an Application on Polyp Detection. Intern J Pattern Recognit Artif Intell. 2024;38(04).
- Wang J, Li Y, Chen B, Cheng D, Liao F, Tan T, Xu Q, Liu Z, Huang Y, Zhu C, Cao W, Yao L, Wu Z, Wu L, Zhang C, Xiao B, Xu M, Liu J, Li S, Yu H. A real-time deep learning-based system for colorectal polyp size estimation by white-light endoscopy: development and multicenter prospective validation. Endoscopy. 2024 Apr;56(4):260-270. doi: 10.1055/a-2189-7036. Epub 2023 Oct 12.
- Abdelrahim M, Saiga H, Maeda N, Hossain E, Ikeda H, Bhandari P. Automated sizing of colorectal polyps using computer vision. Gut. 2022 Jan;71(1):7-9. doi: 10.1136/gutjnl-2021-324510. Epub 2021 Jul 15. No abstract available.
- 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.
- Liu Y, Zuo S. Self-supervised monocular depth estimation for gastrointestinal endoscopy. Comput Methods Programs Biomed. 2023 Aug;238:107619. doi: 10.1016/j.cmpb.2023.107619. Epub 2023 May 19.
- 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.
- Ahmad I, Levine JB, Anderson JC. Endoscopic Measurement of Colorectal Polyps: How Do We Measure Up? Gastroenterology. 2016 Mar;150(3):769-71. doi: 10.1053/j.gastro.2016.01.020. Epub 2016 Jan 25. No abstract available.
- Eichenseer PJ, Dhanekula R, Jakate S, Mobarhan S, Melson JE. Endoscopic mis-sizing of polyps changes colorectal cancer surveillance recommendations. Dis Colon Rectum. 2013 Mar;56(3):315-21. doi: 10.1097/DCR.0b013e31826dd138.
- Taylor JL, Coleman HG, Gray RT, Kelly PJ, Cameron RI, O'Neill CJ, Shah RM, Owen TA, Dickey W, Loughrey MB. A comparison of endoscopy versus pathology sizing of colorectal adenomas and potential implications for surveillance colonoscopy. Gastrointest Endosc. 2016 Aug;84(2):341-51. doi: 10.1016/j.gie.2016.04.009. Epub 2016 Apr 19.
- Anderson BW, Smyrk TC, Anderson KS, Mahoney DW, Devens ME, Sweetser SR, Kisiel JB, Ahlquist DA. Endoscopic overestimation of colorectal polyp size. Gastrointest Endosc. 2016 Jan;83(1):201-8. doi: 10.1016/j.gie.2015.06.058. Epub 2015 Aug 28.
- 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.
- Djinbachian R, Taghiakbari M, Haumesser C, Zarandi-Nowroozi M, Khalil MA, Sidani S, Liu J, Panzini B, von Renteln D. Comparing size measurement of colorectal polyps using a novel virtual scale endoscope, endoscopic ruler or forceps: A preclinical randomized trial. Endosc Int Open. 2023 Jan 30;11(1):E128-E135. doi: 10.1055/a-2005-7548. eCollection 2023 Jan.
- von Renteln D, Djinbachian R, Zarandi-Nowroozi M, Taghiakbari M. Measuring size of smaller colorectal polyps using a virtual scale function during endoscopies. Gut. 2023 Mar;72(3):417-420. doi: 10.1136/gutjnl-2022-328654. Epub 2022 Nov 21. No abstract available.
- Visentini-Scarzanella M, Kawasaki H, Furukawa R, Bonino MA, Arolfo S, Lo Secco G, Arezzo A, Menciassi A, Dario P, Ciuti G. A structured light laser probe for gastrointestinal polyp size measurement: a preliminary comparative study. Endosc Int Open. 2018 May;6(5):E602-E609. doi: 10.1055/a-0577-2798. Epub 2018 May 8.
- Kaz AM, Anwar A, O'Neill DR, Dominitz JA. Use of a novel polyp "ruler snare" improves estimation of colon polyp size. Gastrointest Endosc. 2016 Apr;83(4):812-6. doi: 10.1016/j.gie.2015.08.082. Epub 2015 Sep 14.
- Hyun YS, Han DS, Bae JH, Park HS, Eun CS. Graduated injection needles and snares for polypectomy are useful for measuring colorectal polyp size. Dig Liver Dis. 2011 May;43(5):391-4. doi: 10.1016/j.dld.2010.12.015. Epub 2011 Feb 21.
- Kume K, Watanabe T, Yoshikawa I, Harada M. Endoscopic measurement of polyp size using a novel calibrated hood. Gastroenterol Res Pract. 2014;2014:714294. doi: 10.1155/2014/714294. Epub 2014 Jun 30.
- Mir FA, Boumitri C, Ashraf I, Matteson-Kome ML, Nguyen DL, Puli SR, Bechtold ML. Cap-assisted colonoscopy versus standard colonoscopy: is the cap beneficial? A meta-analysis of randomized controlled trials. Ann Gastroenterol. 2017;30(6):640-648. doi: 10.20524/aog.2017.0180. Epub 2017 Jul 24.
- Leng Q, Jin HY. Measurement system that improves the accuracy of polyp size determined at colonoscopy. World J Gastroenterol. 2015 Feb 21;21(7):2178-82. doi: 10.3748/wjg.v21.i7.2178.
- Jin HY, Leng Q. Use of disposable graduated biopsy forceps improves accuracy of polyp size measurements during endoscopy. World J Gastroenterol. 2015 Jan 14;21(2):623-8. doi: 10.3748/wjg.v21.i2.623.
- 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.
- Wang Y, Huang Y, Chase RC, Li T, Ramai D, Li S, Huang X, Antwi SO, Keaveny AP, Pang M. Global Burden of Digestive Diseases: A Systematic Analysis of the Global Burden of Diseases Study, 1990 to 2019. Gastroenterology. 2023 Sep;165(3):773-783.e15. doi: 10.1053/j.gastro.2023.05.050. Epub 2023 Jun 9.
- Mori Y. New horizons in polyp size estimation. Endoscopy. 2024 Apr;56(4):271-272. doi: 10.1055/a-2224-0756. Epub 2024 Jan 12. No abstract available.
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
Additional Relevant MeSH Terms
Other Study ID Numbers
- CHEC2024-389
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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