Key Word(s): 1 Endoscopy; 2 endoscopy training; 3 Simulator; 4

Key Word(s): 1. Endoscopy; 2. endoscopy training; 3. Simulator; 4. Computer-based; Presenting Author: XIA YAN Additional Authors: XU HONG,

WANGLI BO, TAO KE Corresponding Author: XIA YAN Affiliations: The First Hospital of Jilin University Objective: To investigate high-definition endoscopic i-Scan in the detection of colorectal Precancerous lesions of clinical value. Methods: 2011-01/2013-2 in our hospital for routine endoscopy of patients, which found that the new biological selleckchem and polypoid colorectal lesions were 451 cases. Respectively, using conventional high-definition endoscopy, HD i-Scan Technology and staining techniques to observe the lesion to make the initial endoscopic diagnosis with histopathological diagnosis was compared. Results: Endoscopic i-Scan HD technology for cancer and non-neoplastic lesion detection rate with the dye endoscopy rather, no significant difference (P > 0.05). I-Scan technology, high-definition endoscopic diagnosis of neoplastic

lesions was 86.1% sensitivity and specificity was 95.4% overall diagnostic accuracy rate is 92.47%. Conclusion: Endoscopic i-Scan HD technology for the observation of the large intestine mucous membrane lesions was significantly better than normal AZD6244 datasheet colonoscopy, and the operation is simple, with high clinical value. Key Word(s): 1. i-Scan Technology; 2. colon lesions; 3. staining; Presenting Author: NAOHISA YOSHIDA Additional Authors: NOBUAKI YAGI, YUTAKA INADA, YUJI NAITO,

YOSHITO ITO Corresponding Author: NAOHISA YOSHIDA Affiliations: Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine Objective: A new endoscope system with a laser light source: blue laser imaging (BLI) has been developed by Fujifilm that allows for narrow-band light observation. The aim of this study was to evaluate the diagnostic accuracy of BLI for the diagnosis of colorectal polyps. Methods: We retrospectively analyzed 314 colorectal polyps that were examined with BLI observation at Kyoto Prefectural University of Medicine between September 2011 and January 2013. The diagnostic accuracy by published NBI magnification: Hiroshima classification was analyzed. Additionally, the ability of BLI without magnification to differentiate between neoplastic or non-neoplastic polyps L-NAME HCl was analyzed. Results: A total of 41 hyperplastic polyps, 168 adenomas, 80 intramucosal cancer, 11 shallowly invaded submucosal cancer, and 14 deeply invaded submucosal cancer were analyzed. The overall diagnostic accuracy of BLI magnification was 84.3% (265/314) using Hiroshima classification. The diagnostic accuracy for dSM in cancerous lesions was 94.3% (99/105). The accuracy of differentiation was 99.3% (312/314) between non-neoplastic lesions and neoplastic lesions and 85.0% (232/273) between adenomatous lesions and cancerous lesions.

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