Capsule Endoscopy in Inflammatory Bowel Disease: Panenteric Capsule Endoscopy and Application of Artificial Intelligence

被引:3
|
作者
Ukashi, Offir [1 ,2 ,3 ]
Soffer, Shelly [4 ,5 ,6 ]
Klang, Eyal [2 ,4 ,7 ]
Eliakim, Rami [1 ,2 ]
Ben-Horin, Shomron [1 ,2 ]
Kopylov, Uri [1 ,2 ]
机构
[1] Sheba Med Ctr, Gastroenterol Inst, Tel Hashomer, Israel
[2] Tel Aviv Univ, Sackler Sch Med, Tel Aviv, Israel
[3] Sheba Med Ctr, Dept Internal Med, Tel Hashomer, Israel
[4] Sheba Med Ctr, Deep Vis Lab, Tel Hashomer, Israel
[5] Assuta Med Ctr, Internal Med B, Ashdod, Israel
[6] Ben Gurion Univ Negev, Fac Hlth Sci, Beer Sheva, Israel
[7] Sheba Med Ctr, Dept Diagnost Imaging, Tel Hashomer, Israel
关键词
Key Words; Video capsule endoscopy; Crohn disease; Pan-enteric capsule; Artificial intelligence; PILLCAM COLON CAPSULE; CROHNS-DISEASE; DIAGNOSTIC YIELD; IMAGES; LESIONS;
D O I
10.5009/gnl220507
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Video capsule endoscopy (VCE) of the small-bowel has been proven to accurately diagnose small-bowel inflammation and to predict future clinical flares among patients with Crohn's disease (CD). In 2017, the panenteric capsule (PillCam Crohn's system) was introduced for the first time, enabling a reliable evaluation of the whole small and large intestines. The great advantage of visualization of both parts of the gastrointestinal tract in a feasible and single procedure, holds a significant promise for patients with CD, enabling determination of the disease extent and severity, and potentially optimize disease management. In recent years, applications of machine learning, for VCE have been well studied, demonstrating impressive performance and high accuracy for the detection of various gastrointestinal pathologies, among them inflammatory bowel disease lesions. The use of artificial neural network models has been proven to accurately detect/classify and grade CD lesions, and shorten the VCE reading time, resulting in a less tedious process with a potential to minimize missed diagnosis and better predict clinical outcomes. Nevertheless, prospective, and real-world studies are essential to precisely examine artificial intelligence applications in real-life inflammatory bowel disease practice. (Gut Liver, Published online June 12, 2023)
引用
收藏
页码:516 / 528
页数:13
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