Advanced endoscopic imaging for detection of Barrett's esophagus

被引：3
作者：
Zilberstein, Netanel [1 ]
Godbee, Michelle [1 ]
Mehta, Neal A. [1 ]
Waxman, Irving [1 ,2 ]
机构：
[1] Rush Univ, Med Ctr, Dept Internal Med, Div Digest Dis & Nutr, Chicago, IL USA
[2] Rush Univ, Med Ctr, Div Digest Dis & Nutr, Dept Internal Med, 1725 W Harrison St Prof Off Bldg,Suite 207, Chicago, IL 60612 USA
来源：
CLINICAL ENDOSCOPY | 2024年 / 57卷 / 01期
关键词：
Artificial intelligence; Barrett's esophagus; Diagnostic techniques and procedures; Endoscopy; Esophageal neoplasms; CONFOCAL LASER ENDOMICROSCOPY; SURVEILLANCE; NEOPLASIA; DYSPLASIA; METAANALYSIS; MICROSCOPY; BIOPSY; EPIDEMIOLOGY; MULTICENTER; TECHNOLOGY;
D O I：
10.5946/ce.2023.031
中图分类号：
R57 [消化系及腹部疾病];
学科分类号：
摘要：
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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页码：1 / 10
页数：10
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