Effective Withdrawal Time and Adenoma Detection Rate

Trial Title: Effective Withdrawal Time and Adenoma Detection Rate

NCT ID: NCT06063720

Condition: Colonic Polyp
Colon Adenoma
Artificial Intelligence

Conditions: Official terms:
Adenoma
Colonic Polyps

Conditions: Keywords:
Colonic Polyp
Artificial intelligence
Withdrawal time

Study type: Observational

Overall status: Recruiting

Study design:

Time perspective: Prospective

Intervention:

Intervention type: Device
Intervention name: Endoscreen QC
Description: Artificial intelligence monitoring of effective withdrawal time
Arm group label: AI group

Summary: The goal of this observational study is to assess the correlation between the artificial intelligence (AI) derived effective withdrawal time (EWT) during colonoscopy and endoscopists' baseline adenoma detection rate (ADR). The association between the AI derived EWT with ADR during the prospective colonoscopy series would also be determined. The colonoscopy video of participants will be monitored by the AI and the result of EWT will be blinded to the endoscopists

Detailed description: This is a prospective colonoscopy trial using artificial intelligence (AI) real time effective mucosal examination monitor system (EndoScreener QC, Wision A.I. Shanghai & Chengdu). Low residue diet will be taken by all patients two days before the scheduled colonoscopy. Oral polyethylene glycol lavage solution is used for bowel preparation as in usual hospital practice. All examination will be performed with high-definition endoscopes (EVIS-EXERA 290 video system, Olympus Optical, Tokyo, Japan) under white light by experienced endoscopists. In all colonoscopy examination, colonoscope will be first advanced to the cecum as confirmed by identification of the appendiceal orifice and ileocecal valve or by intubation of the ileum. After cecal intubation is performed, the colonoscopy is slowly withdrawn. All detected polyps will be removed during the withdrawal only. The size (measured with biopsy forceps), location and morphology of each polyp will be recorded by an independent observer. The withdrawal time (minus the polypectomy site) will be measured by a stopwatch and with a minimum of 6 minutes. The bowel preparation quality will be graded according to the Boston Bowel Preparation Scale. The AI derived (AI) real time effective mucosal examination monitor system (EndoScreen QC) will be initiated during scope withdrawal, starting from cecum to anus. The polypectomy or biopsy time will be removed as determination of standard withdrawal time. All endoscopists will be blinded to the results of AI real time monitoring of EWT. All polyp specimens removed will be clearly labelled and send for histological examination. All resected and biopsy specimens are fixed in 10% buffered formalin solution, and examined histologically by hematoxylin and eosin staining. The histopathological diagnosis is determined by experienced pathologists, who are blinded to the assigned endoscopic system, according to the World Health Organization (WHO) criteria. Advanced adenomas are defined as adenoma ≥10 mm in diameter or with villous histology in 25% or high-grade dysplasia (HGD), or carcinoma.The primary outcome of this study is to correlate the adenoma detection rates of the endoscopists with EWT.

Criteria for eligibility:

Study pop:
All patient will be recruited in Queen Mary Hospital, Hong Kong, China

Sampling method: Non-Probability Sample
Criteria:
Inclusion Criteria: All adult patients, aged 40 or above, undergoing outpatient colonoscopy will be recruited Exclusion Criteria: - history of inflammatory bowel disease - history of colorectal cancer - previous bowel resection (apart from appendectomy) - Peutz-Jeghers syndrome, familial adenomatous polyposis or other polyposis syndromes - bleeding tendency or severe comorbid illnesses for which polypectomy is considered unsafe. - Cecum could not be intubated for various reasons - Poor bowel preparation with Boston Bowel Preparation Scale (BBPS) < 6

Gender: All

Minimum age: 40 Years

Maximum age: N/A

Healthy volunteers: Accepts Healthy Volunteers

Locations:

Facility:
Name: Queen Mary Hospital, the University of Hong Kong

Address:
City: Hong Kong
Country: Hong Kong

Status: Recruiting

Contact:
Last name: Thomas Ka Luen Lui

Phone: +852 97360997
Email: tkllui@hku.hk

Start date: November 1, 2023

Completion date: December 30, 2024

Lead sponsor:
Agency: The University of Hong Kong
Agency class: Other

Source: The University of Hong Kong

Record processing date: ClinicalTrials.gov processed this data on November 12, 2024

Source: ClinicalTrials.gov page: https://clinicaltrials.gov/ct2/show/NCT06063720