{"title":"Role of endoscopy in the diagnosis of coeliac disease: a narrative review.","authors":"Mohamed G Shiha, Abdiazizi Yusuf, David S Sanders","doi":"10.21037/tgh-23-122","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and objective: </strong>Coeliac disease (CD) is a common autoimmune disorder triggered by gluten consumption in genetically predisposed individuals. CD is characterised by chronic inflammation in the small bowel mucosa with an influx of lymphocytes, followed by crypt hyperplasia and villous atrophy. The gold standard test to diagnose CD is endoscopy with duodenal biopsies. However, variations in practice between endoscopists can lead to missed diagnoses. This review aims to discuss the role of endoscopy in the diagnosis of CD, highlighting the performance measures of endoscopy in CD and the advancement in endoscopic techniques for the optical diagnosis of villous atrophy.</p><p><strong>Methods: </strong>We searched PubMed and Google Scholar from their inception to December 2023 for relevant articles on the role of endoscopy in CD. Two authors reviewed these references, and relevant studies were included in the discussion section of this review.</p><p><strong>Key content and findings: </strong>We provide an up-to-date assessment of the diagnostic accuracy of endoscopic markers of CD and the performance of enhanced endoscopic imaging to identify villous atrophy during endoscopy. We propose a set of benchmarks for endoscopy in CD and discuss the potential role of artificial intelligence (AI) in the endoscopic diagnosis of CD.</p><p><strong>Conclusions: </strong>Performing high-quality endoscopy and identifying strategies to reduce inter-endoscopist variations may reduce missed diagnoses. Adopting advanced endoscopic techniques and embracing new technologies such as AI could enhance diagnostic accuracy and improve patient care.</p>","PeriodicalId":94362,"journal":{"name":"Translational gastroenterology and hepatology","volume":"9 ","pages":"51"},"PeriodicalIF":3.8000,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11292106/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational gastroenterology and hepatology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21037/tgh-23-122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background and objective: Coeliac disease (CD) is a common autoimmune disorder triggered by gluten consumption in genetically predisposed individuals. CD is characterised by chronic inflammation in the small bowel mucosa with an influx of lymphocytes, followed by crypt hyperplasia and villous atrophy. The gold standard test to diagnose CD is endoscopy with duodenal biopsies. However, variations in practice between endoscopists can lead to missed diagnoses. This review aims to discuss the role of endoscopy in the diagnosis of CD, highlighting the performance measures of endoscopy in CD and the advancement in endoscopic techniques for the optical diagnosis of villous atrophy.
Methods: We searched PubMed and Google Scholar from their inception to December 2023 for relevant articles on the role of endoscopy in CD. Two authors reviewed these references, and relevant studies were included in the discussion section of this review.
Key content and findings: We provide an up-to-date assessment of the diagnostic accuracy of endoscopic markers of CD and the performance of enhanced endoscopic imaging to identify villous atrophy during endoscopy. We propose a set of benchmarks for endoscopy in CD and discuss the potential role of artificial intelligence (AI) in the endoscopic diagnosis of CD.
Conclusions: Performing high-quality endoscopy and identifying strategies to reduce inter-endoscopist variations may reduce missed diagnoses. Adopting advanced endoscopic techniques and embracing new technologies such as AI could enhance diagnostic accuracy and improve patient care.
背景和目的:乳糜泻(CD)是一种常见的自身免疫性疾病,由易感基因携带者食用麸质引发。CD 的特征是小肠粘膜慢性炎症,淋巴细胞大量涌入,继而隐窝增生和绒毛萎缩。诊断 CD 的金标准检查是内镜检查和十二指肠活检。然而,内镜医师之间的操作差异可能导致漏诊。本综述旨在讨论内镜在 CD 诊断中的作用,强调内镜在 CD 诊断中的性能指标以及用于绒毛萎缩光学诊断的内镜技术的进步:我们检索了 PubMed 和 Google Scholar 从开始到 2023 年 12 月期间关于内窥镜在 CD 中作用的相关文章。两位作者审阅了这些参考文献,并将相关研究纳入本综述的讨论部分:我们对CD内镜标记物的诊断准确性以及在内镜检查过程中增强内镜成像识别绒毛萎缩的性能进行了最新评估。我们提出了一套CD内镜检查基准,并讨论了人工智能(AI)在CD内镜诊断中的潜在作用:结论:进行高质量的内镜检查并确定减少内镜医师间差异的策略可减少漏诊。采用先进的内窥镜技术和人工智能等新技术可提高诊断准确性并改善患者护理。