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CC BY-NC-ND 4.0 · Endosc Int Open 2019; 07(08): E944-E948
DOI: 10.1055/a-0918-5883
Original article
Owner and Copyright © Georg Thieme Verlag KG 2019

Multi-criterion, automated, high-performance, rapid tool for assessing mucosal visualization quality of still images in small bowel capsule endoscopy

Sarra Oumrani
1   Assistance Publique-Hôpitaux de Paris (APHP), Department of Hepatology and Gastroenterology, Saint Antoine Hospital, Paris, France
,
Aymeric Histace
3   ETIS, Université de Cergy-Pontoise, ENSEA, CNRS, 95014 Cergy-Pontoise Cedex, France
,
Einas Abou Ali
1   Assistance Publique-Hôpitaux de Paris (APHP), Department of Hepatology and Gastroenterology, Saint Antoine Hospital, Paris, France
,
Olivia Pietri
1   Assistance Publique-Hôpitaux de Paris (APHP), Department of Hepatology and Gastroenterology, Saint Antoine Hospital, Paris, France
,
Aymeric Becq
1   Assistance Publique-Hôpitaux de Paris (APHP), Department of Hepatology and Gastroenterology, Saint Antoine Hospital, Paris, France
2   Sorbonne University, Paris, France
,
Guy Houist
1   Assistance Publique-Hôpitaux de Paris (APHP), Department of Hepatology and Gastroenterology, Saint Antoine Hospital, Paris, France
,
Isabelle Nion-Larmurier
1   Assistance Publique-Hôpitaux de Paris (APHP), Department of Hepatology and Gastroenterology, Saint Antoine Hospital, Paris, France
,
Marine Camus
1   Assistance Publique-Hôpitaux de Paris (APHP), Department of Hepatology and Gastroenterology, Saint Antoine Hospital, Paris, France
2   Sorbonne University, Paris, France
,
Christian Florent
1   Assistance Publique-Hôpitaux de Paris (APHP), Department of Hepatology and Gastroenterology, Saint Antoine Hospital, Paris, France
2   Sorbonne University, Paris, France
,
Xavier Dray
1   Assistance Publique-Hôpitaux de Paris (APHP), Department of Hepatology and Gastroenterology, Saint Antoine Hospital, Paris, France
2   Sorbonne University, Paris, France
3   ETIS, Université de Cergy-Pontoise, ENSEA, CNRS, 95014 Cergy-Pontoise Cedex, France
› Author Affiliations
Further Information

Publication History

submitted 17 October 2018

accepted after revision 21 February 2019

Publication Date:
24 July 2019 (online)

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Abstract

Background and study aims Capsule endoscopy (CE) is the preferred method for small bowel (SB) exploration. Its diagnostic yield can be reduced by poor mucosal visualization. We aimed to evaluate three electronic parameters – colorimetry, abundance of bubbles, and brightness – to assess the adequacy of mucosal visualization of SB-CE images.

Patients and methods Six-hundred still images were randomly extracted from 30 complete and normal SB-CEs. Three experts independently evaluated these images according to a 10-point assessment grid. Any frame with a mean score above seven was considered adequately cleansed. Each image was analyzed electronically according to the three preset parameters, individually and then combined, with the experts' score as reference. A random forests methodology was used for machine learning and testing.

Results The combination of the three electronic parameters achieved better discrimination of adequately from inadequately cleansed frames as compared to each individual parameter taken separately (sensitivity 90.0 % [95 %C. I. 84.1 – 95.9], specificity 87.7 % [95 %C. I. 81.3 – 94.2]).

Conclusion This multi-criterion score constitutes a comprehensive, reproducible, reliable, automated and rapid cleansing score for SB-CE frames. A patent is pending at the European patent office.

 

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