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Erschienen in: International Journal of Colorectal Disease 11/2019

13.09.2019 | Original Article

Time-saving polyp detection in colon capsule endoscopy: evaluation of a novel software algorithm

verfasst von: Johannes Hausmann, Jan-Peter Linke, Jörg G. Albert, Johannes Masseli, Andrea Tal, Alica Kubesch, Natalie Filmann, Michael Philipper, Michael Farnbacher

Erschienen in: International Journal of Colorectal Disease | Ausgabe 11/2019

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Abstract

Background

Colon capsule endoscopy (CCE) is a reliable method to detect colonic polyps in the well-prepared colon. As CCE evaluation can be time consuming, a new software algorithm might aid in reducing evaluation time.

Objectives

The aim of the study was to evaluate whether it is feasible to reliably detect colon polyps in CCE videos with a new software algorithm the “collage mode” (Rapid 8 Software, Covidien/Medtronic®).

Methods

Twenty-nine CCE videos were randomly presented to three experienced and to three inexperienced investigators. Videos were evaluated by applying the collage mode. Investigation time was documented and the results (≥one polyp vs. no polyp) were compared with the findings of two highly experienced central readers who read the CCE videos in the standard mode beforehand.

Results

It took a median time of 9.8, 3.5, and 7.5 vs. 4.3, 4.6 and 12.5 min for experienced vs. inexperienced investigators to review the CCE videos. For detecting ≥one polyp vs. no polyp, sensitivity of 93.3%, 73.3%, and 93.3% was observed for the experienced and sensitivity of 46.7%, 33.3%, and 93.3% for the inexperienced CCE readers.

Conclusion

Collage mode might allow for a quick review of CCE videos with a high polyp detection rate for experienced CCE readers. Future prospective studies should include CCE collage mode for rapid polyp detection to further prove the feasibility of practical colon polyp detection by CCE and possibly support the role of CCE as a screening tool in CRC prevention.
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Metadaten
Titel
Time-saving polyp detection in colon capsule endoscopy: evaluation of a novel software algorithm
verfasst von
Johannes Hausmann
Jan-Peter Linke
Jörg G. Albert
Johannes Masseli
Andrea Tal
Alica Kubesch
Natalie Filmann
Michael Philipper
Michael Farnbacher
Publikationsdatum
13.09.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Colorectal Disease / Ausgabe 11/2019
Print ISSN: 0179-1958
Elektronische ISSN: 1432-1262
DOI
https://doi.org/10.1007/s00384-019-03393-0

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