Identification of a small, depressed type of colorectal invasive cancer by an artificial intelligence-assisted detection system
Identification of a small, depressed type of colorectal invasive cancer by an artificial intelligence-assisted detection system
复制标题
通过人工智能辅助检测系统识别小型、抑郁型结直肠浸润癌
DOI：
10.1055/a-1704-8103
复制
发表时间：
2022
期刊：
影响因子：
9.3
通讯作者：
Mori Kensaku
中科院分区：
文献类型：
--
作者：
Kudo Shin-ei;Misawa Masashi;Mori Yuichi;Kawabata Yurie;Maeda Yasuharu;Miyachi Hideyuki;Mori Kensaku
一名64岁的男性使用计算机辅助检测（CADe）系统（Endobrain-EYE; Cybernet Systems，Tokyo，Japan）进行了监测结肠镜检查[1]。系统在乙状结肠中识别出一个5 mm的微红色病变。使用靛蓝胭脂红喷雾能够识别病变上的明显凹陷区域（[图1]，[视频1]）。病变呈V I型小凹模式，表明高度异型增生或轻度浸润性粘膜下癌[2]。进行了内镜粘膜切除术。病理学检查显示为分化良好的腺癌，轻微侵犯粘膜下层（[图2]、[图3]、[图4]）。
A 64-year-old man underwent surveillance colonoscopy with a computer-aided detection (CADe) system (EndoBRAIN-EYE; Cybernet Systems, Tokyo, Japan)[1]. The system identified a 5-mm slightly reddish lesion in the sigmoid colon. Spraying with indigo carmine enabled identification of a clearly depressed area on the lesion ([Fig. 1],[Video 1]). The lesion showed type V I pit pattern, indicating high grade dysplasia or slightly invasive submucosal cancer [2]. Endoscopic mucosal resection was performed. Pathological examination showed a well-differentiated adenocarcinoma with slight invasion of the submucosal layer ([Fig. 2],[Fig. 3],[Fig. 4]).
影响因子：
24.5
作者：
Matsuda T;Fujii T;Sano Y;Kudo SE;Oda Y;Hotta K;Shimoda T;Saito Y;Kobayashi N;Sekiguchi M;Konishi K;Ikematsu H;Iishi H;Takeuchi Y;Igarashi M;Kobayashi K;Sada M;Yamaguchi Y;Hasuda K;Shinohara T;Ishikawa H;Murakami Y;Taniguchi H;Fujimori T;Ajioka Y;Yoshida S
通讯作者：
Yoshida S