The treatment of early gastric cancer can be divided into endoscopic resection and surgery, and the precise staging of early gastric cancer is very important to prevent unnecessary surgery or additional surgery after the procedure. The possibility of endoscopic resection is determined by the risk of lymph node metastasis. The risk factors of lymph node metastasis of early gastric cancer are lesion size, presence of ulceration, histologic differentiation, and depth of invasion. In contrast to other factors, the factor of invasion depth is relatively difficult to predict by using the conventional white light endoscopy (WLE). Therefore, the endoscopic ultrasonography (EUS) has been tried to use for prediction of the invasion depth. However, many studies reported that the accuracy of endoscopic ultrasonography for predicting the depth of invasion was varied. A system consisting of a magnifying endoscope combined with narrow-band imaging (NBI), with the spectral band width narrowed by optical filters, was developed to enhance visualization of mucosal surface structure and vascular architecture. There were some reports that the magnifying endoscopy with narrow band imaging (ME-NBI) is superior to predict the histologic differentiation, depth of invasion and lesion margin than WLE. In this study, we divide the patients with suspected early gastric cancer (EGC) into the two groups as group using conventional WLE and EUS and group using WLE and ME-NBI, and try to compare the accuracy of EUS and ME-NBI for predicting the invasion depth of EGC. We also try to analyze the factors that affect the accuracy for predicting of depth such as characteristics of cancer lesion and histologic differentiation of cancer in each group. In addition, we try to analyze the characteristic imaging findings of ME-NBI for early gastric cancer and gastric adenoma and evaluate the efficacy of ME-NBI for early gastric cancer and gastric adenoma diagnosis.
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the accuracy in predicting the invasion depth of EGC.
Timeframe: Within 1 month after lesion resection