Table of Contents Author Guidelines Submit a Manuscript
Gastroenterology Research and Practice
Volume 2012 (2012), Article ID 194530, 5 pages
Research Article

Evaluation of Endoscopic Ultrasound Image Quality Is Necessary in Endosonographic Assessment of Early Gastric Cancer Invasion Depth

1Department of Gastroenterology and Hepatology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka 5650871, Japan
2Department of Gastroenterology, Osaka Rosai Hospital, 1179-3, Nagasonecho, Kita-ku, Sakai, Osaka 5918025, Japan

Received 12 April 2012; Accepted 21 August 2012

Academic Editor: Salem Omar

Copyright © 2012 Shunsuke Yamamoto 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 evaluated whether endoscopic ultrasonography (EUS) image quality affects the accuracy of diagnosing the vertical invasion depth of early gastric cancer (EGC). A total of 75 lesions in 75 patients suspected of having EGC were enrolled. All patients underwent EUS examination. Findings of EUS were compared with histopathologic results. We evaluated the effect of the following clinicopathologic factors: location, diameter, surface pattern, concomitant ulceration, histology type, and EUS image quality score. EUS image quality was scored based on detection repeatability, appropriate probe placement, and clarity of the five gastric wall layers including the lesion. Sixty-three lesions (84%) were pathologically mucosal and 12 lesions (16%) were submucosal cancer. Overall accuracy was 82.7%. Significantly more lesions in the upper and middle portions of the stomach were incorrectly diagnosed than in the lower portion ( 𝑃 = 0 . 0 0 1 9 ). Lesion diameter was significantly larger among incorrectly diagnosed lesions ( 𝑃 = 0 . 0 2 5 7 ). Low-quality images were significantly more often associated with incorrectly diagnosed lesions than with correctly diagnosed lesions ( 𝑃 = 0 . 0 0 0 1 ). Multivariate analysis revealed that EUS image quality was associated with EUS staging accuracy (odds ratio, 21.8; 95% confidence interval, 4.5–137.6). Low-quality EUS images led to an incorrect diagnosis of invasion depth of EGC, independent of tumor location or size.