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Difficulty of predicting the presence of lymph node metastases in patients with clinical early stage gastric cancer: A case control study

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The relationship between pathological factors and lymph node metastasis of pathological stage early gastric cancer has been extensively investigated. By contrast, the relationship between preoperative factors and lymph node metastasis of clinical stage early gastric cancer has not been investigated.

Nakagawa et al BMC Cancer (2015) 15:943 DOI 10.1186/s12885-015-1940-3 RESEARCH ARTICLE Open Access Difficulty of predicting the presence of lymph node metastases in patients with clinical early stage gastric cancer: a case control study Masatoshi Nakagawa1,4†, Yoon Young Choi1†, Ji Yeong An1,6, Hyunsoo Chung3, Sang Hyuk Seo1,7, Hyun Beak Shin1, Hui-Jae Bang1, Shuangxi Li1,5, Hyung-Il Kim1, Jae-Ho Cheong1, Woo Jin Hyung1 and Sung Hoon Noh1,2* Abstract Background: The relationship between pathological factors and lymph node metastasis of pathological stage early gastric cancer has been extensively investigated By contrast, the relationship between preoperative factors and lymph node metastasis of clinical stage early gastric cancer has not been investigated The present study was to investigate discrepancies between preoperative and postoperative values Methods: From January 2011 to December 2013, 1042 patients with clinical stage early gastric cancer who underwent gastrectomy with lymphadenectomy were enrolled Preoperative and postoperative values were collected for subsequent analysis Receiver operating characteristics curves were computed using independent predictive factors Results: Several discrepancies were observed between preoperative and postoperative values, including existence of ulcer, gross type, and histology (all McNemar p-values were

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Mục lục

    Patients and data collection

    Postoperative and preoperative predictive factors for lymph node metastasis

    Association between CT scans and EUS results and lymph node metastasis

    Receiver operating characteristics curves using independent predictive factors

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