Hegenbart Sebastian, Uhl Andreas, Vécsei Andreas
Department of Computer Sciences, University of Salzburg, Jakob-Haringer Strasse, 5020 Salzburg, Austria.
St. Anna Children׳s Hospital, Medical University Vienna, 1090 Vienna, Austria.
Comput Biol Med. 2015 Oct 1;65:348-58. doi: 10.1016/j.compbiomed.2015.02.007. Epub 2015 Feb 23.
Celiac disease (CD) is a complex autoimmune disorder in genetically predisposed individuals of all age groups triggered by the ingestion of food containing gluten. A reliable diagnosis is of high interest in view of embarking on a strict gluten-free diet, which is the CD treatment modality of first choice. The gold standard for diagnosis of CD is currently based on a histological confirmation of serology, using biopsies performed during upper endoscopy. Computer aided decision support is an emerging option in medicine and endoscopy in particular. Such systems could potentially save costs and manpower while simultaneously increasing the safety of the procedure. Research focused on computer-assisted systems in the context of automated diagnosis of CD has started in 2008. Since then, over 40 publications on the topic have appeared. In this context, data from classical flexible endoscopy as well as wireless capsule endoscopy (WCE) and confocal laser endomicrosopy (CLE) has been used. In this survey paper, we try to give a comprehensive overview of the research focused on computer-assisted diagnosis of CD.
乳糜泻（CD）是一种复杂的自身免疫性疾病，在所有年龄组的遗传易感个体中，由摄入含麸质食物引发。鉴于开始严格的无麸质饮食是CD的首选治疗方式，可靠的诊断备受关注。目前CD诊断的金标准基于血清学的组织学确认，通过上消化道内镜检查时进行活检来实现。计算机辅助决策支持是医学领域尤其是内镜检查中一个新兴的选择。此类系统有可能节省成本和人力，同时提高手术安全性。针对CD自动诊断背景下的计算机辅助系统的研究始于2008年。从那时起，关于该主题已发表了40多篇论文。在此背景下，已使用了来自传统柔性内镜检查以及无线胶囊内镜（WCE）和共聚焦激光内镜显微镜（CLE）的数据。在这篇综述论文中，我们试图全面概述针对CD计算机辅助诊断的研究。
