These patients were given a standard ECF neo-adjuvant chemotherapy. All these patients who receive neo-adjuvant chemotherapy were examined the TN stage by EUS again after 1 cycle, 2 cycles, 3 cycles till the results showed down-stage or 3 cycles were finished. After that, surgery were performed. All EUS examinations were performed at the day before next cycle. In addition to TN stage, the tumor size was recorded with 3 parameters – the maximum thickness, longitude of tumor and width by EUS. The Dinaciclib surgical
TN stage and pathological complete response (No residual carcinoma in the primary), pathological partial response (<10% residual carcinoma in the primary) were compared with EUS stage and tumor size change. Results: After neo-adjuvant chemotherapy, EUS correctly identified 53.8% (21/39) T stage and 46.1% (18/39) N stage of patients, respectively, in line with their histological staging. Whereas, 78.6% patients who EUS showed down-stage Torin 1 (11/14) were confirmed by pathology as partial response. In the same time, the tumor size changes were found correlated with pathological response. Conclusion: Although EUS had relatively low accuracy of TN stage
after neo-adjuvant chemotherapy comparing with preoperative EUS staging, the study showed a good correlation between down-stage or dramatic decreased tumor size checked by EUS and pathological response of tumor. Conclusion: EUS could be an effective method to evaluate the treatment response and decide best time for operation of gastric cancer patients who receive neo-adjuvant chemotherapy. Key Word(s): 1. EUS; 2. gastric cancer;
3. neo-adjuvant; 4. chemotherapy; Presenting Author: ROMAN KUVAEV Additional Authors: EVGENY NIKONOV, SERGEY KASHIN, ALEXANDER NADEZHIN, HERBERT EDELSBRUNNER, MICHAEL MACHIN, OLGA DUNAEVA Corresponding Author: ROMAN KUVAEV Affiliations: Yaroslavl Regional of Cancer Hospital; Polyclinic №1 of the Business Administration for the President of the Russian Federation; Institute of Science and Technology Austria; P.G. Demidov Yaroslavl State University Objective: High-magnification endoscopy with narrow-band imaging is currently applied for differentiation of gastric lesions and required training and experience. Newly developed computer-aided decision support systems in endoscopy aim to prediction of pathologies and thus to assist an experts. The algorithm based on effective and suitable classification system is needed for functioning of such systems. The aim of the study was to assess a cancer risk in gastric lesions with different types of vascular and surface patterns and create an algorithm for computer-aided diagnostic system in patients with chronic Helicobacter pylori associated gastritis. Methods: 148 gastric lesions in 134 patients (mean age 58.9 years, SD = 13.4) were observed with NBI-HME (GIF-Q260Z, Olympus Lucera, GIF-Q160Z, Olympus Exera). V- and S-patterns were assessed independently according to the most useful criteria of known classifications.