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Effective Withdrawal Time and Adenoma Detection Rate

Completed
Conditions
Artificial Intelligence
Colonic Polyp
Colon Adenoma
Registration Number
NCT06063720
Lead Sponsor
The University of Hong Kong
Brief Summary

This study prospectively evaluated the role of EWT versus SWT on adenoma detection rate (ADR) and other key quality metrics. In this prospective single-center study, patients undergoing colonoscopy were enrolled. EWT was calculated in real-time using an AI system with endoscopists blinded to the results. We performed multivariable analyses to assess the association of EWT and SWT with binary (e.g., ADR) and count outcomes (e.g., adenoma per colonoscopy \[APC\]), after adjusting for patient and procedural characteristics.

Detailed Description

This was a prospective, single-center observational study designed to determine if an AI-powered metric, Effective Withdrawal Time (EWT), is a superior predictor of colonoscopy quality compared to the traditional Standard Withdrawal Time (SWT). All colonoscopies were performed by qualified endoscopists using high-definition white light video scopes. During the procedure, the scope is first advanced to the start of the large intestine (the cecum). The critical examination phase-the withdrawal-begins as the endoscopist slowly pulls the scope back out, meticulously inspecting the colon lining for abnormalities like polyps. It is during this withdrawal that the key metrics were measured. While SWT is a simple duration timed manually, the AI-measured EWT specifically quantifies the time of high-quality mucosal inspection, automatically excluding periods when the camera view is blurry, obscured, or moving too quickly. A crucial aspect of the methodology was that the endoscopists were blinded to the live EWT measurements to prevent the Hawthorne effect, where individuals alter their behaviour because they are being monitored. The study enrolled adults aged 40 and over, excluding patients with conditions that could confound the findings. The primary goal was to assess the independent impact of EWT on the Adenoma Detection Rate (ADR), a key benchmark based on the detection and removal of precancerous polyps for analysis. To achieve this, researchers used multivariable regression models to isolate EWT's effect from other variables and employed correlation tests to statistically compare whether EWT had a stronger relationship with detection quality than SWT

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
193
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

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Adenoma detection ratesDuring the colonoscopy

Adenoma detection rates

Secondary Outcome Measures
NameTimeMethod
Polyp detection rateDuring that colonoscopy

Polyp detection rates of the colonoscopy

Serrated lesion detection rateDuring colonoscopy

Serrated lesion detection rates of that colonoscopy

Advanced adenoma detection rateDuring colonoscopy

Advanced adenoma detection rates of that colonoscopy

Adenoma per colonoscopyDuring colonoscopy

Adenoma per colonoscopy

Polyp per colonoscopyDuring colonoscopy

Polyp per colonoscopy

Serrated lesion per colonoscopyDuring colonoscopy

Serrated lesion per colonoscopy

Advanced adenoma per colonoscopyDuring colonoscopy

Advanced adenoma per colonoscopy

Trial Locations

Locations (1)

Queen Mary Hospital, the University of Hong Kong

🇭🇰

Hong Kong, Hong Kong

Queen Mary Hospital, the University of Hong Kong
🇭🇰Hong Kong, Hong Kong
Thomas Ka Luen Lui
Contact
+852 97360997
tkllui@hku.hk

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