Image acquisition as novel colonoscopic quality indicator: a single-center retrospective study

Area of Science:

• Gastroenterology
• Endoscopy
• Cancer Prevention

Background:

• Colorectal cancer (CRC) incidence and mortality necessitate improved colonoscopy quality.
• Adenoma detection rate (ADR) is the primary metric for colonoscopy quality assessment.
• Identifying novel quality indicators is crucial for enhancing ADR.

Purpose of the Study:

• To identify factors influencing colonoscopy quality.
• To explore the relationship between influencing factors and ADR.
• To validate novel quality indicators for colonoscopy.

Main Methods:

• Retrospective analysis of 3824 colonoscopy cases (January-December 2020).
• Data collected included patient demographics, lesion characteristics, withdrawal time, and images acquired.
• Univariate and multivariate logistic regression analyses were used to identify predictors of adenoma/polyp detection.

Main Results:

• Gender, age, withdrawal time, and number of images acquired were independent predictors of adenoma/polyp detection.
• ADR increased significantly from 14.29% to 25.36% when ≥29 images were acquired (P<0.001).
• Polyp detection rate increased from 34.42% to 53.99% with ≥29 images (P<0.001).

Conclusions:

• Patient gender, age, withdrawal time, and image acquisition numbers influence colorectal adenoma and polyp detection.
• Increasing the number of captured colonoscopic images is associated with higher ADR and polyp detection rates.
• Capturing more images may serve as a novel quality indicator for colonoscopy.