Endoscopy 2020; 52(S 01): S23
DOI: 10.1055/s-0040-1704075
ESGE Days 2020 oral presentations
Friday, April 24, 2020 11:00 – 13:00 Artificial Intelligence inGI-endoscopy:Is the future here? Wicklow Meeting Room 3
© Georg Thieme Verlag KG Stuttgart · New York

REAL-TIME DIAGNOSIS OF AN EARLY BARRETT’S CARCINOMA USING ARTIFICIAL INTELLIGENCE (AI) - VIDEO CASE DEMONSTRATION

A Ebigbo
1   Universitätsklinikum Augsburg, Augsburg, Germany
,
R Mendel
2   Ostbayerische Technische Hochschule, Regensburg, Germany
,
G Tziatzios
1   Universitätsklinikum Augsburg, Augsburg, Germany
,
A Probst
1   Universitätsklinikum Augsburg, Augsburg, Germany
,
C Palm
2   Ostbayerische Technische Hochschule, Regensburg, Germany
,
H Messmann
1   Universitätsklinikum Augsburg, Augsburg, Germany
› Author Affiliations
Further Information

Publication History

Publication Date:
23 April 2020 (online)

Also available ateRef
 
 

    Introduction We present a clinical case showing the real-time detection, characterization and delineation of an early Barrett’s cancer using AI.

    Patients and methods A 70-year old patient with a long-segment Barrett’s esophagus (C5M7) was assessed with an AI algorithm.

    Results The AI system detected a 10 mm focal lesion and AI characterization predicted cancer with a probability of >90%. After ESD resection, histopathology showed mucosal adenocarcinoma (T1a (m), R0) confirming AI diagnosis.

    Conclusion We demonstrate the real-time AI detection, characterization and delineation of a small and early mucosal Barrett’s cancer.