{"title":"Image Enhanced Endoscopy in Esophageal Squamous Cell Carcinoma","authors":"Shaleen Vasavada, Sharmila Anandasabapathy","doi":"10.1177/26345161231211752","DOIUrl":null,"url":null,"abstract":"Esophageal Squamous Cell Carcinoma (ESCC) accounts for a significant portion of esophageal cancer cases worldwide, particularly in high-risk regions like China, Iran, and eastern Africa. It is often diagnosed at advanced stages, leading to poor prognosis and limited treatment options. Image-enhanced endoscopy enables precise visualization of abnormal mucosa, aiding in targeted biopsies for early detection of ESCC and reducing unnecessary sampling. Various techniques have emerged including lugol’s chromoendoscopy, narrow-band imaging, confocal laser endomicroscopy, and high-resolution microendoscopy. This article also discusses advancements in post-processing imaging technology and the novel role of Artificial Intelligence (AI) in improving diagnostic accuracy. While image enhanced endoscopy is promising, challenges such as training, standardization, and long-term validation remain. Implementing image enhanced endoscopy, combined with advancements in AI, has the potential to transform ESCC diagnosis and significantly improve patient outcomes, especially in high-risk populations.","PeriodicalId":73049,"journal":{"name":"Foregut (Thousand Oaks, Calif.)","volume":"131 33","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Foregut (Thousand Oaks, Calif.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/26345161231211752","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Esophageal Squamous Cell Carcinoma (ESCC) accounts for a significant portion of esophageal cancer cases worldwide, particularly in high-risk regions like China, Iran, and eastern Africa. It is often diagnosed at advanced stages, leading to poor prognosis and limited treatment options. Image-enhanced endoscopy enables precise visualization of abnormal mucosa, aiding in targeted biopsies for early detection of ESCC and reducing unnecessary sampling. Various techniques have emerged including lugol’s chromoendoscopy, narrow-band imaging, confocal laser endomicroscopy, and high-resolution microendoscopy. This article also discusses advancements in post-processing imaging technology and the novel role of Artificial Intelligence (AI) in improving diagnostic accuracy. While image enhanced endoscopy is promising, challenges such as training, standardization, and long-term validation remain. Implementing image enhanced endoscopy, combined with advancements in AI, has the potential to transform ESCC diagnosis and significantly improve patient outcomes, especially in high-risk populations.