Artificial Intelligence-assisted Colonoscopy With or Without Endocuff Vision
NCT ID: NCT05863208
Last Updated: 2025-06-27
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
1000 participants
INTERVENTIONAL
2023-05-02
2026-12-31
Brief Summary
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Detailed Description
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Eligible patients are older than 40 years old and receive colonoscopy for either symptomatic or screening/surveillance. All endoscopists should receive training on EndoAim AI systems and Endocuff vision. During the procedure, experienced endoscopists use high-definition endoscopes (EVIS-EXERA 290 video system, Olympus Optical, Aizu, Japan) under white light and insert to the cecum in the three different groups. The cecal intubation is confirmed by the identification of ileocecal valve and appendiceal orifice.
The Boston Bowel Preparation Scale is used for grading the bowel preparation quality. The size (compared with biopsy forceps), location and morphology of polyps are recorded by the independent endoscopist. All polyps ae removed by either biopsy or polypectomy. The insertion and withdrawal time are measured. The time of the polypectomy site is not included in the withdrawal time.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
DIAGNOSTIC
SINGLE
Study Groups
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Artificial Intelligence-assisted Colonoscopy with Endocuff Vision
Use artificial intelligence-assisted colonoscopy with Endocuff Vision
Artificial intelligence
ASUS EndoAim AI Endoscopy System (ASUS, Taiwan) is used to help the detection of colon adenoma
Endocuff vision
Endocuff vision (Olympus, UK) is used to help the detection of colon adenoma
High-definition endoscope
High-definition endoscope (EVIS-EXERA 290 video system, Olympus Optical, Aizu, Japan) is used under white light for the detection of colon adenoma
Artificial Intelligence-assisted Colonoscopy
Use artificial intelligence-assisted colonoscopy alone
Artificial intelligence
ASUS EndoAim AI Endoscopy System (ASUS, Taiwan) is used to help the detection of colon adenoma
High-definition endoscope
High-definition endoscope (EVIS-EXERA 290 video system, Olympus Optical, Aizu, Japan) is used under white light for the detection of colon adenoma
Standard colonoscopy
Use standard colonoscopy without artificial intelligence-assisted colonoscopy or Endocuff Vision
High-definition endoscope
High-definition endoscope (EVIS-EXERA 290 video system, Olympus Optical, Aizu, Japan) is used under white light for the detection of colon adenoma
Interventions
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Artificial intelligence
ASUS EndoAim AI Endoscopy System (ASUS, Taiwan) is used to help the detection of colon adenoma
Endocuff vision
Endocuff vision (Olympus, UK) is used to help the detection of colon adenoma
High-definition endoscope
High-definition endoscope (EVIS-EXERA 290 video system, Olympus Optical, Aizu, Japan) is used under white light for the detection of colon adenoma
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Bleeding tendency
* For scheduled endoscopic treatment
40 Years
ALL
No
Sponsors
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Chung Shan Medical University
OTHER
E-DA Hospital
OTHER
Responsible Party
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Principal Investigators
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Ying Nan Tsai, MD
Role: STUDY_CHAIR
Division of Gastroenterology and Hepatology, E-Da Cancer Hospital, Kaohsiung, Taiwan
Locations
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E-DA Hospital
Kaohsiung City, , Taiwan
Countries
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Central Contacts
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Facility Contacts
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References
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Gonzalez-Fernandez C, Garcia-Rangel D, Aguilar-Olivos NE, Barreto-Zuniga R, Romano-Munive AF, Grajales-Figueroa G, Zamora-Nava LE, Tellez-Avila FI. Higher adenoma detection rate with the endocuff: a randomized trial. Endoscopy. 2017 Nov;49(11):1061-1068. doi: 10.1055/s-0043-117879. Epub 2017 Sep 12.
Triantafyllou K, Polymeros D, Apostolopoulos P, Lopes Brandao C, Gkolfakis P, Repici A, Papanikolaou IS, Dinis-Ribeiro M, Alexandrakis G, Hassan C. Endocuff-assisted colonoscopy is associated with a lower adenoma miss rate: a multicenter randomized tandem study. Endoscopy. 2017 Nov;49(11):1051-1060. doi: 10.1055/s-0043-114412. Epub 2017 Aug 1.
Williet N, Tournier Q, Vernet C, Dumas O, Rinaldi L, Roblin X, Phelip JM, Pioche M. Effect of Endocuff-assisted colonoscopy on adenoma detection rate: meta-analysis of randomized controlled trials. Endoscopy. 2018 Sep;50(9):846-860. doi: 10.1055/a-0577-3500. Epub 2018 Apr 26.
Xu H, Tang RSY, Lam TYT, Zhao G, Lau JYW, Liu Y, Wu Q, Rong L, Xu W, Li X, Wong SH, Cai S, Wang J, Liu G, Ma T, Liang X, Mak JWY, Xu H, Yuan P, Cao T, Li F, Ye Z, Shutian Z, Sung JJY. Artificial Intelligence-Assisted Colonoscopy for Colorectal Cancer Screening: A Multicenter Randomized Controlled Trial. Clin Gastroenterol Hepatol. 2023 Feb;21(2):337-346.e3. doi: 10.1016/j.cgh.2022.07.006. Epub 2022 Jul 19.
Hassan C, Spadaccini M, Iannone A, Maselli R, Jovani M, Chandrasekar VT, Antonelli G, Yu H, Areia M, Dinis-Ribeiro M, Bhandari P, Sharma P, Rex DK, Rosch T, Wallace M, Repici A. Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis. Gastrointest Endosc. 2021 Jan;93(1):77-85.e6. doi: 10.1016/j.gie.2020.06.059. Epub 2020 Jun 26.
Other Identifiers
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EMRP53109N
Identifier Type: -
Identifier Source: org_study_id
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