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Correlation analysis between Masaoka staging and CT features of thymoma |
WANG Heng-qiang, HUANG Zhuang-shi, LI Rong-yao, ZHANG Wen-qiang, YANG Xi-bin |
Department of Thoracic Surgery, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China |
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Abstract Objective: To explore the value of preoperative CT to predict Masaoka staging system of thymoma. Methods: The basic data of 109 patients with pathologically confirmed thymoma were retrospectively analyzed and grouped according to Masaoka staging. The CT features of density, morphology, calcification, margin, enhancement, necrosis, lymph node metastasis, peripheral invasion, tumor diameter and pleural dissemination were compared between the groups. Logistic regression analysis was performed on the features, and the diagnostic value was also evaluated by an ROC curve. Results: Of the 109 patients with thymoma, 22(20.18%) were in stage Ⅰ, 31(28.44%) in stage Ⅱ, 45(41.29%) in stage Ⅲ, 8(7.34%) in stage Ⅳa, and 3(2.75%) in stage Ⅳb. Multivariate Logistic regression analysis showed the uneven density(OR=4.031, 95%CI: 1.137~14.293, P=0.031), marginal smoothness(OR=4.245, 95%CI: 1.276~14.122, P=0.018), and uneven enhancement(OR=7.284, 95%CI: 1.288~41.189, P=0.025), extravasation(OR=15.349, 95% CI: 3.531~66.723, P<0.001), tumor diameter≥62 mm(OR=3.944, 95%CI: 1.196~13.002, P=0.024) and pleural dissemination(OR=17.288, 95%CI: 1.216~245.707, P=0.035) were correlated with Masaoka Ⅲ and Ⅳ, and the area under the ROC curve was 0.910. Conclusion: CT features of thymomas correlated well with Masaoka staging, which will help predict progression of thymoma and adjuvant therapy before operation.
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Received: 16 October 2018
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