Colorectal polyp characterization with endocytoscopy: Ready for widespread implementation with artificial intelligence?

被引：5

作者：

Barua, Ishita ^{[1
,2
]}

Mori, Yuichi ^{[1
,2
,3
]}

Bretthauer, Michael ^{[1
,2
]}

机构：

[1] Univ Oslo, Inst Hlth & Soc, Clin Effect Res Grp, Oslo, Norway

[2] Oslo Univ Hosp, Dept Transplantat Med, Oslo, Norway

[3] Showa Univ, Northern Yokohama Hosp, Digest Dis Ctr, Yokohama, Kanagawa, Japan

来源：

BEST PRACTICE & RESEARCH CLINICAL GASTROENTEROLOGY | 2021年 / 52-53卷

关键词：

Endocytoscopy; Artificial intelligence (AI); Computer aided diagnosis; Optical diagnosis; CONFOCAL LASER ENDOMICROSCOPY; AIDED DIAGNOSTIC SYSTEM; GASTROINTESTINAL ENDOSCOPY; OPTICAL DIAGNOSIS; EUROPEAN-SOCIETY; LESIONS; ACCURACY; IMPACT; CLASSIFICATION; MAGNIFICATION;

D O I：

10.1016/j.bpg.2020.101721

中图分类号：

R57 [消化系及腹部疾病];

学科分类号：

摘要：

Endocytoscopy provides an in-vivo visualization of nuclei and micro-vessels at the cellular level in realtime, facilitating so-called "optical biopsy" or "virtual histology" of colorectal polyps/neoplasms. This functionality is enabled by 520-fold magnification power with endocytoscopy and recent breakthroughs in artificial intelligence (AI) allowing a great advance in endocytoscopic imaging; interpretation of images is now fully supported by AI tool which outputs predictions of polyp histopathology during colonoscopy. The advantage of the use of AI during optical biopsy can be appreciated especially by non expert endoscopists who to increase performance. This paper provides an overview of the latest evidence on colorectal polyp characterization with endocytoscopy combined with AI and identify the barriers to its widespread implementation. (c) 2020 Elsevier Ltd. All rights reserved.

引用

页数：4

共 46 条

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