Netanel Zilberstein, Michelle Godbee, Neal A Mehta, Irving Waxman
{"title":"Advanced endoscopic imaging for detection of Barrett's esophagus.","authors":"Netanel Zilberstein, Michelle Godbee, Neal A Mehta, Irving Waxman","doi":"10.5946/ce.2023.031","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":10351,"journal":{"name":"Clinical Endoscopy","volume":" ","pages":"1-10"},"PeriodicalIF":2.1000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10834296/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Endoscopy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5946/ce.2023.031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/5 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
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.
巴雷特食管（BE）是食管腺癌（EAC）的前身，由慢性胃食管反流引起。随着时间的推移，BE 可从变性发展为发育不良，最终发展为 EAC。EAC 的预后较差，通常是由于诊断时已是晚期。不过，如果 BE 得到早期诊断，药物和内窥镜治疗可防止其发展为 EAC。目前的 BE 监测标准是采用西雅图方案。遗憾的是，由于对西雅图方案遵守不力和采样错误，相当一部分早期 EAC 和 BE 相关的高级别发育不良（HGD）被漏诊。有人提出了使用人工智能（AI）的新模式，以改善早期 EAC 和 BE 相关 HGD 的检测。本综述将重点介绍人工智能技术及其在高清白光内窥镜、窄带成像和容积激光内窥镜等各种内窥镜模式中的应用。
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