Artificial Intelligence Aid Systems and Endocuff in Colorectal Adenoma Detection
NCT ID: NCT05141773
Last Updated: 2025-07-24
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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COMPLETED
NA
696 participants
INTERVENTIONAL
2022-11-01
2023-04-30
Brief Summary
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The secondary aims were:
* To evaluate the benefit of Endo-AID and endocuff in adenoma detection rate by comparing endoscopists with high and low adenoma detection rate.
* To evaluate serrated detection rate, advanced adenoma detection rate, adenoma detection rate according to the size (\<= 5mm, 6-9mm,\> = 10mm) and number of adenomas by colonoscopy. Stratification by location and morphology.
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Detailed Description
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The main purpose of the study is to evaluate the usefulness of the Endo-AID artificial intelligence system with endocuff in the detection of colorectal adenomas in consecutive patients for outpatient colonoscopy compared with standard colonoscopy with endocuff. In addition, the benefit of the CADe system will be assessed according to the endoscopist ADR.
A randomized controlled trial will be carried out in consecutive outpatients meeting the inclusion criteria and none of the exclusion criteria. Patients with be randomized to one of the two groups: CADe system with endocuff and standard colonoscopy with endocuff.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
DIAGNOSTIC
NONE
Study Groups
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Computed adenoma detection system (CADe) and Endocuff
CADe system can detect in the screen suspicion areas of adenomatous polyps. This is an additional help for the endoscopist for the detection of lesions. Endocuff increases the colonic surface examinated
Computed adenoma detection system (CADe) plus endocuff
This is a computed system that helps the endoscopist to increase the detection of colorectal polyps. An add-on device (Endocuff) is also incorporated to the tip of the colonoscope
Control group (Endocuff)
Endocuff increases the colonic surface examinated
Endocuff
An add-on device (Endocuff) is also incorporated to the tip of the colonoscope
Interventions
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Computed adenoma detection system (CADe) plus endocuff
This is a computed system that helps the endoscopist to increase the detection of colorectal polyps. An add-on device (Endocuff) is also incorporated to the tip of the colonoscope
Endocuff
An add-on device (Endocuff) is also incorporated to the tip of the colonoscope
Eligibility Criteria
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Inclusion Criteria
* Patients referred for outpatient colonoscopy
Exclusion Criteria
* Taking anticoagulants or antiaggregants that contraindicate the performance of therapy
* Patients with a recent colonoscopy (\<6 months) of good quality (e.g. cited for endoscopic therapy)
* IBD
* Patients with incomplete colonoscopy
* Patients with inadequate preparation using the Boston Colonic Preparation Scale (BBPS). A cleaning quality of less than 2 points in any of the 3 colonic sections will be considered inadequate.
* Patients with polyposis syndromes
18 Years
ALL
No
Sponsors
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Hospital Universitario de Canarias
OTHER
Responsible Party
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Principal Investigators
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Antonio Z García, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
Hospital Universitario de Canarias
Locations
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Hospital Universitario de Canarias
San Cristóbal de La Laguna, SANTA CRUZ DE TENERIFE, Spain
Countries
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References
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Ngu WS, Bevan R, Tsiamoulos ZP, Bassett P, Hoare Z, Rutter MD, Clifford G, Totton N, Lee TJ, Ramadas A, Silcock JG, Painter J, Neilson LJ, Saunders BP, Rees CJ. Improved adenoma detection with Endocuff Vision: the ADENOMA randomised controlled trial. Gut. 2019 Feb;68(2):280-288. doi: 10.1136/gutjnl-2017-314889. Epub 2018 Jan 23.
Repici A, Badalamenti M, Maselli R, Correale L, Radaelli F, Rondonotti E, Ferrara E, Spadaccini M, Alkandari A, Fugazza A, Anderloni A, Galtieri PA, Pellegatta G, Carrara S, Di Leo M, Craviotto V, Lamonaca L, Lorenzetti R, Andrealli A, Antonelli G, Wallace M, Sharma P, Rosch T, Hassan C. Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial. Gastroenterology. 2020 Aug;159(2):512-520.e7. doi: 10.1053/j.gastro.2020.04.062. Epub 2020 May 1.
Aziz M, Haghbin H, Gangwani MK, Sharma S, Nawras Y, Khan Z, Chandan S, Mohan BP, Lee-Smith W, Nawras A. Efficacy of Endocuff Vision compared to first-generation Endocuff in adenoma detection rate and polyp detection rate in high-definition colonoscopy: a systematic review and network meta-analysis. Endosc Int Open. 2021 Jan;9(1):E41-E50. doi: 10.1055/a-1293-7327. Epub 2021 Jan 1.
Ashat M, Klair JS, Singh D, Murali AR, Krishnamoorthi R. Impact of real-time use of artificial intelligence in improving adenoma detection during colonoscopy: A systematic review and meta-analysis. Endosc Int Open. 2021 Apr;9(4):E513-E521. doi: 10.1055/a-1341-0457. Epub 2021 Mar 17.
Barua I, Vinsard DG, Jodal HC, Loberg M, Kalager M, Holme O, Misawa M, Bretthauer M, Mori Y. Artificial intelligence for polyp detection during colonoscopy: a systematic review and meta-analysis. Endoscopy. 2021 Mar;53(3):277-284. doi: 10.1055/a-1201-7165. Epub 2020 Sep 29.
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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Computer aid colonoscopy
Identifier Type: -
Identifier Source: org_study_id
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