Artificial Intelligence in the Detection of Right Sided Colonic Polyp in Different Operator Experience
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Artificial intellegence. CADe syste,, control.
- Who it may be relevant to
- Registry conditions: Colon Polyp. Basic parameters: 40 years — 80 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Thailand
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Official title
Efficacy of Artificial Intelligence in the Detection of Right Sided Colonic Polyp in Operators with Different Endoscopic Experience: a Randomized Control Trial
Overview
Colonoscopy is the gold standard modality for the detection of colonic polyp. However, miss polyp occurs especially in right sided colon. Artificial intelligence (AI) is one of the modality to improve polyp detection but the benefit of AI in operators with different endoscopic experience is still limited. This study aimed to evaluate the efficacy of AI in the detection of right sided colonic polyp in operators with different endoscopic experience by using double insertion of right side colon, back-to-back basis.
Interventions
- Device Artificial intellegence. CADe syste,
The patient received endoscopy under CADe system for polyp detection during second endoscopic withdrawal. - Device control
The patient received endoscopy under conventional white light for polyp detection during second endoscopic withdrawal.
Primary outcome measures
- polyp detection rate [Time frame: during endoscopy]
Secondary outcome measures (1)
- type of polyp [Time frame: during endoscopy]
Eligibility criteria
Inclusion criteria
- participants age 40-80 years
Exclusion criteria
- History of colonic surgery (except appendectomy)
- Lower gastrointestinal bleeding
- unstable vital sign during endoscopy of pregnancy
- history of inflammatory bowel disease, polyposis syndrome, colon cancer, colonic stricture, abnormal coaglulation, organ failure
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Allocation
- Randomized
- Model
- Parallel assignment
- Masking
- Single blind
- Primary purpose
- Screening
Study locations
Thailand · 1 center
- Rajavithi Hospital — Bangkok
Publications
- Kamba S, Tamai N, Saitoh I, Matsui H, Horiuchi H, Kobayashi M, Sakamoto T, Ego M, Fukuda A, Tonouchi A, Shimahara Y, Nishikawa M, Nishino H, Saito Y, Sumiyama K. Reducing adenoma miss rate of colonoscopy assisted by artificial intelligence: a multicenter randomized controlled trial. J Gastroenterol. 2021 Aug;56(8):746-757. doi: 10.1007/s00535-021-01808-w. Epub 2021 Jul 3. PMID 34218329
Identifiers
NCT: NCT05990218 · 031/2566