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Clinical Article
A preliminary investigation of MRI categorization of thymic tumors
LING Hao  XI Xiaoxu  LI Menglu  LI Jie  CHENG Liuquan 

Cite this article as: Ling H, Xi XX, Li ML, et al. A preliminary investigation of MRI categorization of thymic tumors. Chin J Magn Reson Imaging, 2020, 11(8): 641-646. DOI:10.12015/issn.1674-8034.2020.08.009.


[Abstract] Objective: To explore the categorization of thymic tumors on MRI by using the similar mode of BI-RADS in breast diseases.Materials and Methods: From May 2014 to August 2018, 85 cases of pathologically confirmed thymic tumors were examined by MRI. The lesions were categorized into Ⅰ—Ⅴ according to signal patterns and their morphological features with reference to WHO histopathological classification and Masaoka-Koga staging.Results: MRI categorization was well consistent with WHO classification and Masaoka-Koga staging. Of 85 cases of thymic tumors, 15/16 cases of thymic cysts were category Ⅱ, indicating benign lesions; 2/3 cases of benign thymic hyperplasia, 4 cases of type A, 15/17 cases of AB type, 14/17 case B1 thymomas were category Ⅲ, indicating low-risk lesions; 5/6 cases of type B2 and 6 cases of type B3 thymoma were category Ⅳ, indicating high-risk lesions; 9/11 cases of thymic carcinoma were category Ⅴ, indicating invasive malignant lesions. The spearman correlation coefficient was 0.808, where t=12.499 and P<0.01.Conclusions: On the multiparametric MRI, the thymic tumors could be categorized into Ⅰ—Ⅴ as BI-RADS in breast lesions, which was well correlated to the WHO histopathological classification and the Masaoka-Koga staging and was helpful for the diagnosis and treatment plan of thymic lesions.
[Keywords] thymic neoplasms;magnetic resonance imaging;classification;staging

LING Hao Department of Radiology, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China; Department of Radiology, University of South China Affiliated Changsha Central Hospital, Changsha 410004, China

XI Xiaoxu Department of Radiology, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China

LI Menglu Department of Radiology, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China

LI Jie Department of Thoracic Surgery, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China

CHENG Liuquan* Department of Radiology, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China

*Corresponding to: Cheng LQ, E-mail:cheng_liuquan@139.com

Conflicts of interest   None.

Received  2020-01-07
Accepted  2020-04-19
DOI: 10.12015/issn.1674-8034.2020.08.009
Cite this article as: Ling H, Xi XX, Li ML, et al. A preliminary investigation of MRI categorization of thymic tumors. Chin J Magn Reson Imaging, 2020, 11(8): 641-646. DOI:10.12015/issn.1674-8034.2020.08.009.

[1]
梁光辉,谷志涛,李印,等.基于中国胸腺瘤协作组回顾性数据库对比Masaoka-Koga分期和国际肺癌协会/国际胸腺肿瘤协作组提出的TNM分期系统.中国肺癌杂志, 2016, 19(7): 425-436.
[2]
Detterbeck FC, Stratton K, Giroux D, et al. The IASLC/ITMIG thymic epithelial tumors staging project: proposal for an evidence-based stage classification system for the forthcoming (8th) edition of the TNM classification of malignant tumors. J Thorac Oncol, 2014, 9(9): 65-72.
[3]
Li B, Xin YK, Xiao G, et al. Predicting pathological subtypes and stages of thymic epithelial tumors using DWI: value of combining ADC and texture parameters. Eur Radiol, 2019, 29(10): 5330-5340.
[4]
Abdel Razek AA, Khairy M, Nada N. Diffusion-weighted MR imaging in thymic epithelial tumors: correlation with World Health Organization classification and clinical staging. Radiology, 2014, 273(1): 268-275.
[5]
Priola AM, Gned D, Veltri A, et al. Chemical shift and diffusion-weighted magnetic resonance imaging of the anterior mediastinum in oncology: Current clinical applications in qualitative and quantitative assessment. Crit Rev Oncol Hematol, 2016, 98(2): 335-357.
[6]
Li K, Yang DW, Hou SF, et al. Chemical shift and fat suppression magnetic resonance imaging of thymus in myasthenia gravis. Can J Neurol Sci, 2014, 41(6): 782-786.
[7]
Carter BW, Betancourt SL, Benveniste MF. MR imaging of mediastinal masses. Top Magn Reson Imaging, 2017, 26(4): 153-165.
[8]
Gochi F, Omasa M, Yamada T, et al. Factors affecting the preoperative diagnosis of anterior mediastinal cysts. Gen Thorac Cardiovasc Surg, 2015, 63(6): 349-353.
[9]
Zhang W, Zhou Y, Xu XQ, et al. A whole-tumor histogram analysis of apparent diffusion coefficient maps for differentiating thymic carcinoma from lymphoma. Korean J Radiol, 2018, 19(2): 358-365.
[10]
Marx A, Strobel P, Badve SS, et al. ITMIG consensus statement on the use of the WHO histological classification of thymoma and thymic carcinoma: refined definitions, histological criteria, and reporting. J Thorac Oncol, 2014, 9(5): 596-611.
[11]
Yabuuchi H, Matsuo Y, Abe K, et al. Anterior mediastinal solid tumours in adults: characterisation using dynamic contrast-enhanced MRI, diffusion-weighted MRI, and FDG-PET/CT. Clin Radiol, 2015, 70(11): 1289-1298.
[12]
Shin KE, Yi Ca, Kim TS, Lee HY, et al. Diffusion-weighted MRI for distinguishing non-neoplastic cysts from solid masses in the mediastinum: problem-solving in mediastinal masses of indeterminate internal characteristics on CT. Eur Radiol, 2013, 24(3): 677-684.
[13]
Takahashi K, Al-Janabi NJ. Computed tomography and magnetic resonance imaging of mediastinal tumors. J Magn Reson Imaging, 2010, 32(6): 1325-1339.
[14]
Ried M, Hnevkovsky S, Neu R, et al. Impact of surgical evaluation of additional cine magnetic resonance imaging for advanced thymoma with infiltration of adjacent structures: The thoracic surgeon's view. Thorac Cardiovasc Surg, 2017, 65(3): 244-249.
[15]
张正平,侯晓婧,牛建栋,等.胸腺上皮肿瘤WHO组织分型与CT表现相关性研究.临床放射学杂志, 2018, 37(6): 936-940.

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