Literature DB >> 23075888

Classification of thymoma by fine needle aspiration biopsy according to WHO classification: a cytological algorithm for stepwise analysis in the classification of thymoma.

Han Suk Ryu1, Jae Soo Koh, Sunhoo Park, Min Suk Kim, Soo Youn Cho, Seung-Sook Lee.   

Abstract

OBJECTIVE: To evaluate the cytological characteristics of each type of thymoma and introduce an algorithm to classify thymoma using fine needle aspiration biopsy (FNAB). STUDY
DESIGN: We retrospectively reviewed the cytological characteristics of 15 cases of thymoma with three thymic carcinoma (1 type A thymoma, 6 type AB thymomas and 8 type B thymomas), which were confirmed by histology. Three major and one minor cytomorphologic parameter were adopted for classification: (1) number of lymphocytes in the smear background; (2) nuclear characteristics of thymic cells; (3) lymphocytes and crush artifacts in thymic cell clusters, and (4) nuclear arrangement of thymic cells.
RESULTS: An abundant lymphocytic smear background indicated type B thymomas in 87.5% of cases, contrary to the few lymphocytes in the remaining thymic tumors excluding type B thymomas (90%). Thymic cells contained no vesicular nuclei and inconspicuous nucleoli in 85.7% of type A thymoma and type AB thymoma cases. Type AB thymomas and type B thymomas showed more prominent crush artifacts in cell clusters than type A thymoma and thymic carcinoma. Thymic cells of type B thymomas and thymic carcinoma were arranged without whirling architecture in clusters. The proposed algorithm demonstrated a predictive rate of 88.8% for thymoma classification.
CONCLUSIONS: The stepwise classification of thymoma with FNAB may be useful in patients for whom an invasive diagnosis approach is not feasible.
Copyright © 2012 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2012        PMID: 23075888     DOI: 10.1159/000339001

Source DB:  PubMed          Journal:  Acta Cytol        ISSN: 0001-5547            Impact factor:   2.319


  4 in total

1.  Pretreatment biopsy for histological diagnosis and induction therapy in thymic tumors.

Authors:  Jie Yue; Zhitao Gu; Zhentao Yu; Hongdian Zhang; Zhao Ma; Yuan Liu; Wentao Fang
Journal:  J Thorac Dis       Date:  2016-04       Impact factor: 2.895

2.  A radiomics model combined with XGBoost may improve the accuracy of distinguishing between mediastinal cysts and tumors: a multicenter validation analysis.

Authors:  Xing Wang; Xiaofang You; Li Zhang; Dayu Huang; Beatrice Aramini; Leonid Shabaturov; Gening Jiang; Jiang Fan
Journal:  Ann Transl Med       Date:  2021-12

Review 3.  Diagnostic Challenges in the Cytology of Thymic Epithelial Neoplasms.

Authors:  Jonathan Willner; Fang Zhou; Andre L Moreira
Journal:  Cancers (Basel)       Date:  2022-04-15       Impact factor: 6.575

4.  [Pretreatment Biopsy for Histological Diagnosis and Induction Therapy in Thymic Tumors].

Authors:  Jie Yue; Zhitao Gu; Zhentao Yu; Hongdian Zhang; Zhao Ma; Yuan Liu; Wentao Fang
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2016-07-20
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.