A128 OPTIMIZED COMPUTER ASSISTED TECHNIQUE FOR INCREASING ADENOMA DETECTION DURING COLONOSCOPY: A RANDOMIZED CONTROLLED TRIAL
R Djinbachian, M Taghiakbari, A Barkun, E Medawar, B Panzini, S Sidani, J Liu, D von Renteln

TL;DR
This study shows that using an optimized computer-assisted technique during colonoscopies improves the detection of adenomas compared to standard methods.
Contribution
The study introduces an optimized computer-assisted technique combining multiple interventions to enhance adenoma detection during colonoscopy.
Findings
The CADopt group had a significantly higher Adenoma Detection Rate (ADR) of 49.3% compared to 38.2% in the control group.
The CADopt group showed a trend toward higher advanced ADR (13.1% vs 8.0%) and similar sessile serrated lesion detection rates (6.6% vs 7.1%).
Abstract
Efforts to improve colonoscopy have recently focused on improving adenoma detection interventions such as artificial intelligence (CADe) that have demonstrated improvements in Adenoma Detection Rates (ADR). Although studies have focused on implementation of one intervention at a time. We evaluated an optimized computer assisted technique (CADopt) versus standard colonoscopy to improve ADR during colonosocopy. A prospective randomized controlled trial was conducted enrolling adults (45–80 years) undergoing elective colonoscopy. Participants were randomized (1:1) to the intervention group (CADopt, and control group. In the CADopt group, endoscopists used a computer aided polyp detection combined with linked colour imaging, water exchange colonoscopy, and cecal retroflexion. In the control group, standard colonoscopy was performed. Primary outcome was Adenoma Detection Rate (ADR) in the…
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Taxonomy
TopicsColorectal Cancer Screening and Detection
