Literature DB >> 16093116

Surgical treatment of thymoma.

Quintessa Miller1, Michael J Moulton, Jerry Pratt.   

Abstract

PURPOSE: A case report is presented of a 66-year-old white woman with a 3-month history of atypical chest pain and shortness of breath.
METHODS: A lateral chest radiograph demonstrated an anterior mediastinal density. A subsequent computed tomography (CT) scan revealed a mass in the right anterolateral mediastinum. Fine-needle aspiration (FNA) revealed tumor cells positive for cytokeratin and negative for leukocyte common antigen.
RESULTS: The differential diagnosis at that time included thymoma versus thymic carcinoid. She underwent a median sternotomy with complete thymectomy. The pathology revealed a large thymoma with microinvasion into the surrounding adipose tissue. She had an uneventful postoperative course and later underwent adjuvant radiation therapy.
CONCLUSIONS: Surgical treatment of thymoma is discussed, with emphasis on diagnosis and treatment. Although some patients may present with symptoms caused by involvement of surrounding structures, most thymomas are discovered incidentally on chest radiograph. Various diagnostic procedures can aid the surgeon in ruling out other neoplasms, such as lymphoma or germ cell tumors. Prognosis is not based on histology, but on the tumor's gross characteristics at operation. Benign tumors are noninvasive and encapsulated. All patients with potentially resectable lesions should undergo en-bloc excision. Radiation or chemotherapy should be instituted in more advanced tumors.

Entities:  

Year:  2002        PMID: 16093116     DOI: 10.1016/s0149-7944(01)00629-8

Source DB:  PubMed          Journal:  Curr Surg        ISSN: 0149-7944


  2 in total

1.  Radiomics Signatures of Computed Tomography Imaging for Predicting Risk Categorization and Clinical Stage of Thymomas.

Authors:  Xihai Wang; Wei Sun; Hongyuan Liang; Xiaonan Mao; Zaiming Lu
Journal:  Biomed Res Int       Date:  2019-05-28       Impact factor: 3.411

2.  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
Journal:  Front Oncol       Date:  2021-02-26       Impact factor: 6.244

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.