Literature DB >> 15269013

Does CT of thymic epithelial tumors enable us to differentiate histologic subtypes and predict prognosis?

Yeon Joo Jeong1, Kyung Soo Lee, Jhingook Kim, Young Mok Shim, Jungho Han, O Jung Kwon.   

Abstract

OBJECTIVE: The aims of our study were to describe the CT findings of thymic epithelial tumors and to correlate these findings with the histopathologic subtypes and prognosis.
MATERIALS AND METHODS: The CT findings of thymic epithelial tumors were analyzed in 91 patients who had undergone surgery between May 1995 and June 2002. Two observers, who were unaware of the histopathologic classification made in accordance with World Health Organization (WHO) recommendations and the prognosis of the tumors, retrospectively reviewed the initial CT findings in terms of the contours and shapes of the tumors and the presence of necrosis, calcification, mediastinal fat or great vessel invasion, pleural seeding, contrast enhancement, and lymph node enlargement. These findings were compared with the simplified subgroups of WHO histologic classification (low-risk thymomas [types A, AB, and B1], high-risk thymomas [types B2 and B3], and thymic carcinomas [type C]) and with postoperative recurrence.
RESULTS: The study found 31 low-risk thymomas (eight type A, 16 type AB, and seven type B1 tumors), 45 high-risk thymomas (25 type B2 and 20 type B3), and 15 thymic carcinomas (type C). Lobulated contour was more often seen in high-risk thymomas (26/45, 58%; p = 0.0456) and thymic carcinomas (10/15, 67%; p = 0.033) than in low-risk thymomas (9/31, 29%). Mediastinal fat invasion was more often seen in thymic carcinomas (5/15, 33%; p = 0.0133) than in low-risk thymomas (1/31, 3%). Great vessel invasion was seen only in thymic carcinomas (2/15, 13%; p = 0.0244). Tumors with a lobulated or irregular contour, an oval shape, mediastinal fat or great vessel invasion, and pleural seeding showed significantly more frequent recurrence and metastasis (all, p < 0.05).
CONCLUSION: Although CT is of limited value in differentiating histologic subtypes according to the WHO classification, CT findings may serve as predictors of postoperative recurrence or metastasis for the thymic epithelial tumors.

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Year:  2004        PMID: 15269013     DOI: 10.2214/ajr.183.2.1830283

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  52 in total

1.  Multilobulated thymoma with an acute angle: a new predictor of lung invasion.

Authors:  Daniel B Green; Sarah Eliades; Alan C Legasto; Gulce Askin; Jeffrey L Port; James F Gruden
Journal:  Eur Radiol       Date:  2019-02-26       Impact factor: 5.315

2.  (18)F-FDG PET for the evaluation of thymic epithelial tumors: Correlation with the World Health Organization classification in addition to dual-time-point imaging.

Authors:  Atsuo Inoue; Noriyuki Tomiyama; Mitsuaki Tatsumi; Naoki Ikeda; Meinoshin Okumura; Hiroyuki Shiono; Masayoshi Inoue; Ichiro Higuchi; Katsuyuki Aozasa; Takeshi Johkoh; Hironobu Nakamura; Jun Hatazawa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-02-14       Impact factor: 9.236

3.  MR imaging of thymic epithelial tumors: correlation with World Health Organization classification.

Authors:  Atsuo Inoue; Noriyuki Tomiyama; Kiminori Fujimoto; Junko Sadohara; Itsuko Nakamichi; Yasuhiko Tomita; Katsuyuki Aozasa; Mitsuko Tsubamoto; Sachiko Murai; Javzandulam Natsag; Hiromitsu Sumikawa; Naoki Mihara; Osamu Honda; Seiki Hamada; Takeshi Johkoh; Hironobu Nakamura
Journal:  Radiat Med       Date:  2006-04

4.  Texture analysis of 18F-FDG PET/CT for grading thymic epithelial tumours: usefulness of combining SUV and texture parameters.

Authors:  Masatoyo Nakajo; Megumi Jinguji; Tetsuya Shinaji; Masayuki Nakajo; Masaya Aoki; Atsushi Tani; Masami Sato; Takashi Yoshiura
Journal:  Br J Radiol       Date:  2018-01-19       Impact factor: 3.039

5.  Only when all contribute their firewood can they build up a big fire.

Authors:  Marcelo F Benveniste; Edith M Marom
Journal:  J Thorac Dis       Date:  2016-07       Impact factor: 2.895

6.  Risk stratification of thymic epithelial tumors by using a nomogram combined with radiomic features and TNM staging.

Authors:  Qijun Shen; Yanna Shan; Wen Xu; Guangzhu Hu; Wenhui Chen; Zhan Feng; Peipei Pang; Zhongxiang Ding; Wenli Cai
Journal:  Eur Radiol       Date:  2020-08-05       Impact factor: 5.315

Review 7.  Thymoma calcification: is it clinically meaningful?

Authors:  Kassem Harris; Dany Elsayegh; Basem Azab; Homam Alkaied; Michel Chalhoub
Journal:  World J Surg Oncol       Date:  2011-08-23       Impact factor: 2.754

8.  Computed tomography and thymoma: distinctive findings in invasive and noninvasive thymoma and predictive features of recurrence.

Authors:  A M Priola; S M Priola; M Di Franco; A Cataldi; S Durando; C Fava
Journal:  Radiol Med       Date:  2009-12-16       Impact factor: 3.469

9.  Preoperative misdiagnosis analysis and accurate distinguish intrathymic cyst from small thymoma on computed tomography.

Authors:  Xin Li; Xingpeng Han; Wei Sun; Meng Wang; Guohui Jing; Xun Zhang
Journal:  J Thorac Dis       Date:  2016-08       Impact factor: 2.895

10.  Distinguishing benign thymic lesions from early-stage thymic malignancies on computed tomography.

Authors:  Aoife McErlean; James Huang; Emily C Zabor; Chaya S Moskowitz; Michelle S Ginsberg
Journal:  J Thorac Oncol       Date:  2013-07       Impact factor: 15.609

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