Literature DB >> 23317221

Relationship between computed tomography manifestations of thymic epithelial tumors and the WHO pathological classification.

Guo-Bing Liu1, Yan-Juan Qu, Mei-Yan Liao, Hui-Juan Hu, Gui-Fang Yang, Su-Jun Zhou.   

Abstract

OBJECTIVE: To explore the relationship between computed tomography (CT) manifestations of thymoma and its WHO pathological classification.
METHODS: One hundred and five histopathologically confirmed cases were collected for their pathological and CT characteristics and results were statistically compared between different pathological types of thymoma.
RESULTS: Tumor size, shape, necrosis or cystic change, capsule integrity, invasion to the adjacent tissue, lymphadenopathy, and the presence of pleural effusion were significantly different between different pathological types of thymomas (P<0.05). Type B2, B3 tumors and thymic carcinomas were greater in size than other types. More than 50% of type B3 tumors and thymic carcinomas had a tumor size greater than 10 cm. The shape of types A, AB, and B1 tumors were mostly round or oval, whereas 75% of type B3 tumors and 85% of thymic carcinomas were irregular in shape. Necrosis or cystic change occurred in 67% of type B3 thymomas and 57% of thymic carcinomas, respectively. The respective figures for capsule destruction were 83% and 100%. Increases in the degree of malignancy were associated with increases in the incidence of surrounding tissue invasion: 33%, 75%, and 81% in type B2, type B3, and thymic carcinomas, respectively. Pleural effusion occurred in 48% of thymic carcinomas, while calcification was observed mostly in type B thymomas.
CONCLUSIONS: Different pathological types of thymic epithelial tumors have different CT manifestations. Distinctive CT features of thymomas may reflect their pathological types.

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Year:  2012        PMID: 23317221     DOI: 10.7314/apjcp.2012.13.11.5581

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  11 in total

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2.  Using CT to evaluate mediastinal great vein invasion by thymic epithelial tumors: measurement of the interface between the tumor and neighboring structures.

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3.  CT-based radiomics analysis for differentiation between thymoma and thymic carcinoma.

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9.  CT-Based Radiomics Signatures for Predicting the Risk Categorization of Thymic Epithelial Tumors.

Authors:  Jin Liu; Ping Yin; Sicong Wang; Tao Liu; Chao Sun; Nan Hong
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10.  Volumetric analysis of the thymic epithelial tumors: correlation of tumor volume with the WHO classification and Masaoka staging.

Authors:  Yukihisa Sato; Masahiro Yanagawa; Akinori Hata; Yukihiro Enchi; Noriko Kikuchi; Osamu Honda; Katsuyuki Nakanishi; Noriyuki Tomiyama
Journal:  J Thorac Dis       Date:  2018-10       Impact factor: 2.895

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