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

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  • Published:
International Journal of Colorectal Disease Aims and scope Submit manuscript

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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Author information

Author notes

  1. Jan-Peter Linke

    Present address: Department of Internal Medicine, Heilig-Geist-Hospital, Bingen, Germany

  2. Jörg G. Albert

    Present address: Department of Internal Medicine, Robert-Bosch-Hospital, Stuttgart, Germany

Authors and Affiliations

  1. Department of Internal Medicine 1, University Hospital Frankfurt, Frankfurt, Germany

    Johannes Hausmann, Jan-Peter Linke, Jörg G. Albert, Johannes Masseli, Andrea Tal & Alica Kubesch

  2. Institute of Biostatistics and Mathematical Modeling, Goethe University, Frankfurt, Germany

    Natalie Filmann

  3. Gastroenterologische Facharztpraxis, Düsseldorf, Germany

    Michael Philipper

  4. Department of Internal Medicine 2, Klinikum Fürth, Fürth, Germany

    Michael Farnbacher

Authors
  1. Johannes Hausmann
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  7. Natalie Filmann
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  9. Michael Farnbacher
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Contributions

The authors have contributed to the manuscript by planning the study (JH, JPL JA, NF, MK, MF), collecting the data (JH, JPL, JA, JM, AT, MP, MK, MF), analysis and interpretation of data (JH, JA, NF, MF), and preparation (JH, JA, AK) and revision of the manuscript (all authors).

Corresponding author

Correspondence to Johannes Hausmann.

Ethics declarations

Approval for this study was obtained by the local ethics committee of the university hospital Frankfurt prior to the beginning of the study (file number 189/14).

Conflict of interest

Jörg Albert, Michael Farnbacher, Johannes Hausmann, Michael Philipper, and Andrea Tal report lecturer fees from Covidien/Medtronic® all outside of the submitted work.

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Hausmann, J., Linke, JP., Albert, J.G. et al. Time-saving polyp detection in colon capsule endoscopy: evaluation of a novel software algorithm. Int J Colorectal Dis 34, 1857–1863 (2019). https://doi.org/10.1007/s00384-019-03393-0

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  • DOI: https://doi.org/10.1007/s00384-019-03393-0

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