Endoscopy 2020; 52(S 01): S98-S99
DOI: 10.1055/s-0040-1704300
ESGE Days 2020 oral presentations
Friday, April 24, 2020 11:00-13:00 Endoscopist: RIP! - New diagnostics Wicklow Meeting Room 1 in upper GI endoscopy
© Georg Thieme Verlag KG Stuttgart · New York

A DEEP LEARNING METHOD FOR DELINEATING EARLY GASTRIC CANCER RESECTION MARGIN UNDER CHROMOENDOSCOPY OR WHITE LIGHT ENDOSCOPY

P An
1   Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China
2   Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China
3   Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China
,
J Wang
1   Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China
2   Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China
3   Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China
,
L Wu
1   Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China
2   Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China
3   Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China
,
S Hu
4   School of Resources and Environmental Sciences of Wuhan University, Wuhan, China
,
H Yu
1   Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China
2   Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China
3   Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China
› Author Affiliations
Further Information

Publication History

Publication Date:
23 April 2020 (online)

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    Aims The aim of this study was to validate real-time fully convolutional networks (FCNs) to delineate the resection margin of early gastric cancer (EGC) under indigo carmine chromoendoscopy (CE) or white light endoscopy (WLE).

    Methods We trained FCNs named “ENDOANGEL”. ENDOANGEL was tested in still images and ESD videos, and compared with ME-NBI based on post-ESD pathology by endoscopy-pathology point-to-point marking.

    Results In ESD videos, resection margins predicted by ENDOANGEL covered all areas of cancer.The minimum distance between margins predicted by ENDOANGEL and cancerous boundary was 3.27±1.35 mm, outperforming ME-NBI.

    Conclusions ENDOANGEL has the potential in delineating resection extent of EGCs.


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