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Segmental Withdrawal During Screening Colonoscopy Does Not Increase Adenoma Detection Rate.
Danny J Avalos1, Yi Jia1, Marc J Zuckerman1
1From the Divisions of Gastroenterology and Biostatistics & Epidemiology, Texas Tech University Health Sciences Center El Paso, the University Medical Center, El Paso, Texas, and the Gastroenterology and Hepatology Section, Baylor College of Medicine, Houston, Texas.
Segmental withdrawal during colonoscopy did not improve adenoma detection rates (ADR). However, longer withdrawal times in the standard group increased ADR, and sensitivity analysis suggested segmental withdrawal may improve adenoma detection.
Area of Science:
- Gastroenterology
- Endoscopy
- Cancer Screening
Background:
- Screening colonoscopy is crucial for colorectal cancer prevention.
- Adenoma detection rate (ADR) is a key quality indicator for colonoscopy.
- Optimizing colonoscopy withdrawal time is essential for improving ADR.
Purpose of the Study:
- To compare standard versus segmental withdrawal techniques during screening colonoscopy.
- To evaluate the impact of these techniques on adenoma detection rate (ADR).
Main Methods:
- A single-center clinical trial randomized 311 average-risk patients (≥50 years) into four groups.
- Groups involved standard withdrawal (6 or 8 min) or segmental withdrawal (≥3 or ≥4 min for right colon, ≥6 or ≥8 min total).
Main Results:
- No significant difference in ADR between standard and segmental withdrawal groups (RR 0.91, P=0.50).
- Increased continuous withdrawal time in the standard group correlated with higher ADR (RR 1.08, P<0.001) and adenomas per patient (RR 1.12, P<0.001).
- A withdrawal time of ≥8 minutes was associated with more adenomas per colonoscopy (RR 1.86, P=0.04) in the standard group, but not the segmental group.
Conclusions:
- Segmental withdrawal did not improve overall ADR in this study, potentially due to design limitations.
- Sensitivity analysis indicated segmental withdrawal may enhance adenoma and polyp detection per colonoscopy.
- Further research with larger sample sizes is required to validate these findings.
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