Brief Article
Copyright ©2013 Baishideng Publishing Group Co., Limited. All rights reserved.
World J Gastroenterol. Nov 7, 2013; 19(41): 7146-7153
Published online Nov 7, 2013. doi: 10.3748/wjg.v19.i41.7146
Efficacy of a novel auto-fluorescence imaging system with computer-assisted color analysis for assessment of colorectal lesions
Hiroko Inomata, Naoto Tamai, Hiroyuki Aihara, Kazuki Sumiyama, Shoichi Saito, Tomohiro Kato, Hisao Tajiri
Hiroko Inomata, Naoto Tamai, Hiroyuki Aihara, Kazuki Sumiyama, Shoichi Saito, Tomohiro Kato, Hisao Tajiri, Department of Endoscopy, The Jikei University School of Medicine, Tokyo 105-8461, Japan
Hisao Tajiri, Division of Gastroenterology and Hepatology, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo 105-8461, Japan
Author contributions: Inomata H and Tamai N contributed to writing of the article, concept and design; Aihara H, Sumiyama K, Saito S, Kato T and Tajiri H contributed to concept and design.
Correspondence to: Naoto Tamai, MD, PhD, Department of Endoscopy, The Jikei University School of Medicine, 3-25-8 Nishi-Shinbashi, Minato-ku, Tokyo 105-8461, Japan. tamai-naoto@jikei.ac.jp
Telephone: +81-3-34331111 Fax: +81-3-34594524
Received: June 1, 2013
Revised: August 22, 2013
Accepted: September 15, 2013
Published online: November 7, 2013
Processing time: 168 Days and 23.7 Hours
Core Tip

Core tip: Recently, a novel auto-fluorescence imaging (AFI) system with has higher resolution and higher flame rate than those offered by previously used AFI systems has become commercially available in Japan. We evaluated the efficacy of computer-assisted color analysis using the novel AFI system for distinguishing colorectal neoplasia and non-neoplasia and for predicting depth of invasion. The green/red ratios, which were obtained by dividing green color intensity by red color intensity, were significantly different between hyperplastic polyps, adenoma/intramucosal cancer/SM superficial cancer, and SM deep cancer. The novel AFI system was effective in distinguishing non-neoplastic lesions from neoplastic lesions and might have potential to predict the depth of invasion.