The use of rapid reading software to reduce capsule endoscopy reading times while maintaining accuracy

Abstract Backgrounds and Aims A typical capsule endoscopy case generates tens of thousands of images, with abnormalities often confined to a just few frames. Omni Mode is a novel EndoCapsule software algorithm (Olympus), which proposes to intelligently remove duplicate images while maintaining accuracy in lesion detection. Methods This prospective multicenter study took place across 9 European centers. Consecutive, unselected capsule endoscopy cases were read conventionally in normal mode, with every captured frame reviewed. Cases were subsequently anonymized and randomly allocated to another center where these were read using Omni Mode. Detected lesions and reading time were recorded, with findings compared between both viewing modes. The clinical significance of lesions was described according to the P-classification (P0, P1, and P2). Where a discrepancy in lesion detection in either mode was found, expert blinded review at a consensus meeting was undertaken. Results The patient population undergoing capsule endoscopy had a mean age of 49.5 years (range 18 - 91), with the investigation of anemia or gastrointestinal bleeding accounting for 71.8% of cases. The average small-bowel transit time was 4 hours and 26 minutes. The mean reading time in normal mode was 42.5 minutes. The use of Omni Mode was significantly faster (P Conclusion This study shows that capsule endoscopy reading times can be reduced by an average of 40%, without any reduction in clinical accuracy.