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

• Verfasst von: Beg, Sabina [VerfasserIn]
• Verfasst von: Wronska, Ewa [VerfasserIn]
• Verfasst von: Araujo, Isis [VerfasserIn]
• Verfasst von: Suárez, Begona González [VerfasserIn]
• Verfasst von: Ivanova, Ekaterina [VerfasserIn]
• Verfasst von: Fedorov, Evgeny [VerfasserIn]
• Verfasst von: Aabakken, Lars [VerfasserIn]
• Verfasst von: Seitz, Uwe [VerfasserIn]
• Verfasst von: Rey, Jean-François [VerfasserIn]
• Verfasst von: Saurin, Jean-Christophe [VerfasserIn]
• Verfasst von: Tari, Roberto [VerfasserIn]
• Verfasst von: Card, Tim [VerfasserIn]
• Verfasst von: Ragunath, Krish [VerfasserIn]
• Titel: Use of rapid reading software to reduce capsule endoscopy reading times while maintaining accuracy
• Verf.angabe: Sabina Beg, Ewa Wronska, Isis Araujo, Begona González Suárez, Ekaterina Ivanova, Evgeny Fedorov, Lars Aabakken, Uwe Seitz, Jean-Francois Rey, Jean-Christophe Saurin, Roberto Tari, Tim Card, Krish Ragunath
• E-Jahr: 2020
• Jahr: January 22, 2020
• Umfang: 6 S.
• Fussnoten: Gesehen am 05.10.2020
• Titel Quelle: Enthalten in: Gastrointestinal endoscopy
• Ort Quelle: New York, NY : Elsevier, 1971
• Jahr Quelle: 2020
• Band/Heft Quelle: 91(2020), 6, Seite 1322-1327
• ISSN Quelle: 1097-6779
• DOI: doi:10.1016/j.gie.2020.01.026
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1734633212

Abstract

Backgrounds and Aims: A typical capsule endoscopy (CE) 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, Tokyo, Japan) that 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 CE cases were read conventionally in normal mode, with every captured frame reviewed. Cases were subsequently anonymized and randomly allocated to another center where they were read using Omni Mode. Detected lesions and reading times 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 CE had a mean age of 49.5 years (range, 18-91), with the investigation of anemia or GI bleeding accounting for 71.8% of cases. The average small-bowel transit time was 4 hours, 26 minutes. The mean reading time in normal mode was 42.5 minutes. The use of Omni Mode was significantly faster (<i>P</i> < .0001), with an average time saving of 24.6 minutes (95% confidence interval, 22.8-26.9). The 2127 lesions were identified and classified according to the P classification as P0 (1234), P1 (656), and P2 (237). Lesions were identified using both reading modes in 40% (n = 936), and 1186 lesions were identified by either normal or Omni Mode alone. Normal mode interpretation was associated with 647 lesions being missed, giving an accuracy of .70. Omni Mode interpretation led to 539 lesions being missed, with an accuracy of .75. There was no significant difference in clinical conclusions made between either reading mode. Conclusions: This study shows that CE reading times can be reduced by an average of 40%, without any reduction in clinical accuracy.