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Advanced endoscopic imaging for detection of Barrett’s esophagus
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Netanel Zilberstein, Michelle Godbee, Neal A. Mehta, Irving Waxman
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Clin Endosc 2024;57(1):1-10. Published online January 5, 2024
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DOI: https://doi.org/10.5946/ce.2023.031
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 Abstract
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- Barrett’s esophagus (BE) is the precursor to esophageal adenocarcinoma (EAC), and is caused by chronic gastroesophageal reflux. BE can progress over time from metaplasia to dysplasia, and eventually to EAC. EAC is associated with a poor prognosis, often due to advanced disease at the time of diagnosis. However, if BE is diagnosed early, pharmacologic and endoscopic treatments can prevent progression to EAC. The current standard of care for BE surveillance utilizes the Seattle protocol. Unfortunately, a sizable proportion of early EAC and BE-related high-grade dysplasia (HGD) are missed due to poor adherence to the Seattle protocol and sampling errors. New modalities using artificial intelligence (AI) have been proposed to improve the detection of early EAC and BE-related HGD. This review will focus on AI technology and its application to various endoscopic modalities such as high-definition white light endoscopy, narrow-band imaging, and volumetric laser endomicroscopy.
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Citations
Citations to this article as recorded by  - Gender disparities and woman-specific trends in Barrett’s esophagus in the United States: An 11-year nationwide population-based study
Karina Fatakhova, Faisal Inayat, Hassam Ali, Pratik Patel, Attiq Ur Rehman, Arslan Afzal, Muhammad Sarfraz, Shiza Sarfraz, Gul Nawaz, Ahtshamullah Chaudhry, Rubaid Dhillon, Arthur Dilibe, Benjamin Glazebnik, Lindsey Jones, Emily Glazer
World Journal of Methodology.2025;[Epub] CrossRef - Advancements in Barrett's esophagus detection: The role of artificial intelligence and its implications
Sara Massironi
World Journal of Gastroenterology.2024; 30(11): 1494. CrossRef - Advanced Esophageal Endoscopy
Kyoungwon Jung, Rebecca M. Haug, Andrew Y. Wang
Gastroenterology Clinics of North America.2024; 53(4): 603. CrossRef
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