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Gastroenterology Research and Practice
Volume 2014, Article ID 819395, 6 pages
Research Article

Efficacy of i-Scan Imaging for the Detection and Diagnosis of Early Gastric Carcinomas

1Department of Gastroenterology and Hepatology, Yamaguchi University Graduate School of Medicine, 1-1-1 Minami-kogushi, Ube, Yamaguchi 755-8505, Japan
2Department of Biomolecular Engineering Applied Molecular Bioscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8611, Japan

Received 16 December 2013; Revised 1 February 2014; Accepted 1 February 2014; Published 9 March 2014

Academic Editor: Antoni Castells

Copyright © 2014 Junichi Nishimura et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We determined comparative efficacy of i-Scan for detection and diagnosis of gastric cancer. Ten patients diagnosed with early gastric cancer based on histopathological findings were analyzed. White light and i-Scan moving images recorded from these patients in twin mode were separated into white light and i-Scan. Twelve endoscopists (three different skill levels) blinded to patient information evaluated the images. Correlation between demarcation accuracy and lesion brightness on still images was investigated. No significant differences were found in diagnostic accuracy between white light and i-Scan moving images for tumor detection rate (91.7% versus 90.8%, ). Diagnostic accuracy of tumor size was comparable between novice and experienced endoscopists for i-Scan moving images (65.7% versus 71.1%, ), whereas it was significantly lower for white light moving images (41.2% versus 79.5%, ). Tumor demarcation accuracy was significantly better with white light than i-Scan still images (71.0% versus 65.8%, ). Correlations between demarcation accuracy and brightness reached highs of 0.75 for white light and 0.89 for i-Scan imaging. Efficacy of i-Scan over that of white light imaging for detecting and diagnosing gastric cancer was not shown; however, the diagnostic capability of i-Scan can be improved if imaging conditions are optimized.