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EVALUATION OF THE RESULTS OF ARTIFICIAL INTELLIGENCE-ASSISTED IN COLON POLYP DETECTION
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Abstract
A randomized controlled single – blind study was conducted to compare polyp/adenoma detection rate (PDR/ADR), polyp/adenoma missing rate (PMR/AMR), adenomas per colonscopy (APC), adenomas per positive patient between two groups of colonoscopies with and without the support of artificial intelligence (AI). Endoscopists withdrew the scope twice, each time for a minimum of 6 minutes. The first withdrawal was with or without the support of artificial intelligence. The study recruited 74 patients, including 36 conventional colonoscopies and 38 colonoscopies in the group using artificial intelligence system. There were no differences in age, gender, clinical symptoms, Boston scores, withdrawal time, endoscopist experience between the two groups. Polyps detected during the examination were recorded for location, morphology according to Paris classification, size, and histological results. During the first examination, 92 polyps were detected with 44 in the control group and 48 in the intervention group. In the second examination, an additional 10 and 12 polyps were found in the control and intervention group, respectively. PDR, PMR, ADR, AMR in the control group were 44,4%, 25%, 33,3%, 22,2%, respectively. These number of the intervention group were 52,6%, 22,7%, 28,9%, 20,7%, respectively. APC, APP of the control group were 1 and 3, these number of the intervention group were 0,76 and 2,64. There was no significant differences between two group.
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Keywords
Artificial intelligence (AI), polyp/ adenoma detection rate, polyp/adenoma miss rate.
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