INTESTINE Vol.12 No.4(2-1)


特集名 NBI/FICEとpit pattern
題名 NBI/FICE拡大観察によるpit pattern診断 (1) NBIによる大腸腫瘍におけるvascular pattern診断
発刊年月 2008年 07月
著者 和田 祥城 昭和大学横浜市北部病院消化器センター
著者 樫田 博史 昭和大学横浜市北部病院消化器センター
著者 工藤 進英 昭和大学横浜市北部病院消化器センター
著者 細谷 寿久 昭和大学横浜市北部病院消化器センター
著者 若村 邦彦 昭和大学横浜市北部病院消化器センター
著者 蟹江 浩 昭和大学横浜市北部病院消化器センター
著者 池原 伸直 昭和大学横浜市北部病院消化器センター
著者 山村 冬彦 昭和大学横浜市北部病院消化器センター
著者 大塚 和朗 昭和大学横浜市北部病院消化器センター
著者 浜谷 茂治 昭和大学横浜市北部病院病理科
【 要旨 】 要旨はありません。
Theme Narrow Band Imaging (NBI) / Fuji Intelligent Color Enhancement (FICE) and pit pattern in colon and rectum
Title Microvascular architecture of localized colorectal lesions observed with Narrow Band Imaging (NBI) system
Author Yoshiki Wada Digestive Disease Center, Showa University Northern Yokohama Hospital
Author Hiroshi Kashida Digestive Disease Center, Showa University Northern Yokohama Hospital
Author Shin-ei Kudo Digestive Disease Center, Showa University Northern Yokohama Hospital
Author Toshihisa Hosoya Digestive Disease Center, Showa University Northern Yokohama Hospital
Author Kunihiko Wakamura Digestive Disease Center, Showa University Northern Yokohama Hospital
Author Hiroshi Kanie Digestive Disease Center, Showa University Northern Yokohama Hospital
Author Nobunao Ikehara Digestive Disease Center, Showa University Northern Yokohama Hospital
Author Fuyuhiko Yamamura Digestive Disease Center, Showa University Northern Yokohama Hospital
Author Kazuo Ohtsuka Digestive Disease Center, Showa University Northern Yokohama Hospital
Author Shigeharu Hamatani Department of Pathology, Showa University Northern Yokohama Hospital
[ Summary ] The recent development of NBI enables us to observe microvascular structural changes. The diagnosis of colorectal tumors through magnified colonoscopic findings of microvascular architecture is simple and useful. Colonic microvascular patterns were classified into six categories ; normal, faint, network, dense, irregular and sparse. If we assume that faint patterns can be used to diagnose hyperplastic polyps, we are able to differentiate between neoplastic and non-neoplastic lesions with a sensitivity and specificity of 90.2 % and 98.2 %, respectively. Assuming that either irregular or sparse patterns represented invasive cancer, the sensitivity and specificity were 94.6 % and 86.4 %.
Utilizing NBI systems is useful for distinguishing neoplastic from non-neoplastic lesions, and also for distinguishing cancers from adenomas.
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