胃食管交界处的内镜检查及Barrett食管的诊断。

IF 3.6 3区 医学 Q2 GASTROENTEROLOGY & HEPATOLOGY
Digestion Pub Date : 2025-10-01 DOI:10.1159/000548648
Chika Kusano
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引用次数: 0

摘要

背景:巴雷特食管(BE)是公认的食管腺癌(EAC)的前兆,但其内镜诊断在世界范围内仍不一致。本文总结了BE内镜诊断的当前挑战和最新进展,包括国际共识声明和新兴技术的最新进展,如图像增强内窥镜(IEE)和人工智能(AI)。摘要:本综述综合了国际指南、多中心研究、专家共识,包括京都国际共识和亚洲巴雷特联盟的数据,以及最近关于BE监测的诊断成像和质量指标的试验。关键信息:胃食管交界处(GEJ)的定义差异——特别是栅栏血管和胃褶之间的差异——导致了BE诊断的全球变异性。京都国际共识建议使用栅栏血管的远端作为更稳定和组织学上一致的地标。此外,布拉格C & M标准提供了测量BE长度的标准化方法;然而,超短段BE存在局限性。IEE模式,如链接彩色成像和红色二色成像,增强了GEJ的可视化,而人工智能系统具有自动BE分类的潜力。质量指标如肿瘤检出率、检查时间和对活检方案的依从性已被提出,以提高诊断的一致性和结果。标准化内窥镜对BE的定义和采用基于质量的监测策略对于提高检测和减少变异至关重要。将IEE和基于人工智能的工具纳入日常实践可能会为BE提供更可靠和有效的诊断途径,从而促进全球范围内EAC的早期发现和预防。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Endoscopic evaluation of the gastroesophageal junction and diagnosis of Barrett's esophagus.

Background: Barrett's esophagus (BE) is a recognized precursor to esophageal adenocarcinoma (EAC), yet its endoscopic diagnosis remains inconsistent worldwide. This review summarizes current challenges and recent advancements in the endoscopic diagnosis of BE, including updates from international consensus statements and emerging technologies such as image-enhanced endoscopy (IEE) and artificial intelligence (AI).

Summary: This narrative review integrated international guidelines, multicenter studies, expert consensuses, including the Kyoto International Consensus and Asian Barrett Consortium data, and recent trials of diagnostic imaging and quality indicators regarding BE surveillance.

Key messages: Discrepancies in defining the gastroesophageal junction (GEJ)-notably between palisade vessels and gastric folds-contribute to the global variability of the BE diagnosis. The Kyoto International Consensus recommends using the distal end of the palisade vessels as a more stable and histologically consistent landmark. Additionally, the Prague C & M criteria offer a standardized approach to measuring the BE length; however, limitations for ultra-short segment BE exist. IEE modalities such as linked color imaging and red dichromatic imaging enhance GEJ visualization, whereas AI systems have the potential for automated BE classification. Quality indicators such as the neoplasia detection rate, inspection time, and adherence to biopsy protocols have been proposed to improve diagnostic consistency and outcomes. Standardizing the endoscopic definition of BE and adopting quality-based surveillance strategies are essential to improving detection and reducing variability. Incorporating IEE and AI-based tools into routine practice may support a more reliable and efficient diagnostic pathway for BE, thus facilitating early EAC detection and prevention worldwide.

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来源期刊
Digestion
Digestion 医学-胃肠肝病学
CiteScore
7.90
自引率
0.00%
发文量
39
审稿时长
6-12 weeks
期刊介绍: ''Digestion'' concentrates on clinical research reports: in addition to editorials and reviews, the journal features sections on Stomach/Esophagus, Bowel, Neuro-Gastroenterology, Liver/Bile, Pancreas, Metabolism/Nutrition and Gastrointestinal Oncology. Papers cover physiology in humans, metabolic studies and clinical work on the etiology, diagnosis, and therapy of human diseases. It is thus especially cut out for gastroenterologists employed in hospitals and outpatient units. Moreover, the journal''s coverage of studies on the metabolism and effects of therapeutic drugs carries considerable value for clinicians and investigators beyond the immediate field of gastroenterology.
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