Autofluorescence Imaging Video-Endoscopy System for Diagnosis of Superficial Gastric Neoplasia

被引:4
作者
Uedo, Noriya [1 ]
Ishihara, Ryu [1 ]
Iishi, Hiroyasu [1 ]
机构
[1] Osaka Med Ctr Canc & Cardiovasc Dis, Dept Gastrointestinal Oncol, Higashinari Ku, Osaka 5378511, Japan
来源
NEW CHALLENGES IN GASTROINTESTINAL ENDOSCOPY | 2008年
关键词
Autofluorescence endoscopy; Early gastric cancer; Atrophic gastritis; Chromoendoscopy; Endoscopic mucosal resection;
D O I
10.1007/978-4-431-78889-8_18
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
An autofluorescence imaging video-endoscopy system (AFI) produces real-time pseudocolor images from computed detection of autofluorescence emitted by endogenous fluorophores in the mucosa. In the AF1 images of the gastric body, the fundic mucosa appears purple, whereas atrophic mucosa appear bright green. Gastric tumors appear purple or green in the AFI images according to their morphology, i.e., elevated or depressed, respectively. Therefore, the color patterns of gastric tumors are classified into four types: purple tumors in a green background, purple tumors in a purple background, green tumors in a green background, and green tumors in a purple background. Purple tumors in a green background and green tumors in a purple background are readily distinguished by their color. In contrast, purple tumors in a purple background are difficult to define by color. Green tumors in a green background appear similar in color to the Surrounding mucosa, but the tumor extension can be determined by their purple rim. Diagnostic accuracy of AFI for tumor extension was better (68%) than that by white light endoscopy (36%), but was not as good as chromoendoscopy (91%). The low accuracy rate was mainly caused by interference of an ulceration or scar, while the AFI diagnosed flat tumor extension more accurately than did white light images. Because the AN Could visualize flat or isochromatic tumor extension compared with white light endoscopy, it detected more multiple neoplasia in patients who underwent endoscopic treatment.
引用
收藏
页码:191 / 199
页数:9
相关论文
共 39 条
[31]   A deep learning-based model improves diagnosis of early gastric cancer under narrow band imaging endoscopy [J].
Tang, Dehua ;
Ni, Muhan ;
Zheng, Chang ;
Ding, Xiwei ;
Zhang, Nina ;
Yang, Tian ;
Zhan, Qiang ;
Fu, Yiwei ;
Liu, Wenjia ;
Zhuang, Duanming ;
Lv, Ying ;
Xu, Guifang ;
Wang, Lei ;
Zou, Xiaoping .
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES, 2022, 36 (10) :7800-7810
[32]   A deep learning-based model improves diagnosis of early gastric cancer under narrow band imaging endoscopy [J].
Dehua Tang ;
Muhan Ni ;
Chang Zheng ;
Xiwei Ding ;
Nina Zhang ;
Tian Yang ;
Qiang Zhan ;
Yiwei Fu ;
Wenjia Liu ;
Duanming Zhuang ;
Ying Lv ;
Guifang Xu ;
Lei Wang ;
Xiaoping Zou .
Surgical Endoscopy, 2022, 36 :7800-7810
[33]   Magnifying endoscopy for the diagnosis of early gastric cancer: Establishment of technique, diagnostic system, and scientific evidence from Japan [J].
Yao, Kenshi .
DIGESTIVE ENDOSCOPY, 2022, 34 :50-54
[34]   Role of magnifying narrow-band imaging endoscopy for diagnosis of Helicobacter pylori infection and gastric precancerous conditions: Few issues [J].
Sahu, Saroj Kanta ;
Singh, Ayaskanta .
WORLD JOURNAL OF GASTROENTEROLOGY, 2022, 28 (15) :1601-1603
[35]   Diagnosis of depressed-type early gastric cancer using small-caliber endoscopy with flexible spectral imaging color enhancement [J].
Osawa, Hiroyuki ;
Yamamoto, Hironori ;
Miura, Yoshimasa ;
Ajibe, Hironari ;
Shinhata, Hakuei ;
Yoshizawa, Mitsuyo ;
Sunada, Keijiro ;
Toma, Sachiko ;
Satoh, Kiichi ;
Sugano, Kentaro .
DIGESTIVE ENDOSCOPY, 2012, 24 (04) :231-236
[36]   Histological verification of the usefulness of magnifying endoscopy with narrow-band imaging for horizontal margin diagnosis of differentiated-type early gastric cancers [J].
Makomo Makazu ;
Kingo Hirasawa ;
Chiko Sato ;
Ryosuke Ikeda ;
Takehide Fukuchi ;
Yasuaki Ishii ;
Ryosuke Kobayashi ;
Hiroaki Kaneko ;
Masataka Taguri ;
Yoko Tateishi ;
Yoshiaki Inayama ;
Shin Maeda .
Gastric Cancer, 2018, 21 :258-266
[37]   Histological verification of the usefulness of magnifying endoscopy with narrow-band imaging for horizontal margin diagnosis of differentiated-type early gastric cancers [J].
Makazu, Makomo ;
Hirasawa, Kingo ;
Sato, Chiko ;
Ikeda, Ryosuke ;
Fukuchi, Takehide ;
Ishii, Yasuaki ;
Kobayashi, Ryosuke ;
Kaneko, Hiroaki ;
Taguri, Masataka ;
Tateishi, Yoko ;
Inayama, Yoshiaki ;
Maeda, Shin .
GASTRIC CANCER, 2018, 21 (02) :258-266
[38]   Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imaging [J].
Ueyama, Hiroya ;
Kato, Yusuke ;
Akazawa, Yoichi ;
Yatagai, Noboru ;
Komori, Hiroyuki ;
Takeda, Tsutomu ;
Matsumoto, Kohei ;
Ueda, Kumiko ;
Matsumoto, Kenshi ;
Hojo, Mariko ;
Yao, Takashi ;
Nagahara, Akihito ;
Tada, Tomohiro .
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, 2021, 36 (02) :482-489
[39]   Exploration of an effective training system for diagnosis of superficial esophageal squamous cell carcinoma with magnifying narrow-band imaging: Prospective research [J].
Fan, Mengke ;
Qi, Cuihua ;
Wang, Weijun ;
Shi, Huiying ;
Han, Chaoqun ;
Hou, Xiaohua ;
Lin, Rong .
DIGESTIVE ENDOSCOPY, 2021, 33 (05) :770-779