Literature DB >> 23422781

Advances in thymoma imaging.

Edith M Marom1.   

Abstract

Thymoma is the most common primary neoplasm of the anterior mediastinum, but it accounts for <1% of all adult malignancies. It is the most common of the thymic epithelial neoplasms, which, in addition to thymoma, include thymic carcinoma and thymic carcinoid. Because of the rarity of thymoma, it has not been studied thoroughly. Over the last half decade, there has been increased interest in this disease, with greater international collaboration and dedicated thymic malignancy work groups; this has culminated in the formation of the International Thymic Malignancy Interest Group, instituted to provide a scientific infrastructure for the study of these lesions and foster collaborative research. Imaging plays a major role in the identification and staging of thymoma, as well as in the follow-up monitoring for its recurrence. Currently, imaging is predominantly carried out with computed tomography (CT). In selected cases, there is a role for magnetic resonance imaging and F-fluorodeoxyglucose positron emission tomography in the investigation of an anterior mediastinal mass suspected to be thymoma. Because patients with advanced thymoma receive neoadjuvant chemotherapy, radiologists should be familiar with the staging system of thymoma and the imaging features of advanced-stage thymoma to identify such patients before surgery. This review serves as an update of the recent imaging studies on thymoma, which may help in tailoring the approach to the patient with a biopsy-proven or suspected thymoma.

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Year:  2013        PMID: 23422781     DOI: 10.1097/RTI.0b013e31828609a0

Source DB:  PubMed          Journal:  J Thorac Imaging        ISSN: 0883-5993            Impact factor:   3.000


  27 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.  Evaluation of anterior mediastinal solid tumors by CT perfusion: a preliminary study.

Authors:  Selim Bakan; Sedat Giray Kandemirli; Atilla Süleyman Dikici; Ezel Erşen; Onur Yıldırım; Cesur Samancı; Şebnem Batur; Deniz Çebi Olgun; Fatih Kantarcı; Canan Akman
Journal:  Diagn Interv Radiol       Date:  2017 Jan-Feb       Impact factor: 2.630

3.  Pretreatment biopsy for thymic epithelial tumors-does histology subtype matter for treatment strategy?

Authors:  Sukhmani K Padda; Marlies Keijzers; Heather A Wakelee
Journal:  J Thorac Dis       Date:  2016-08       Impact factor: 2.895

Review 4.  Management of thymic tumors: a European perspective.

Authors:  Enrico Ruffini; Federico Venuta
Journal:  J Thorac Dis       Date:  2014-05       Impact factor: 2.895

5.  Doubling time of thymic epithelial tumours on CT: correlation with histological subtype.

Authors:  Jooae Choe; Sang Min Lee; Soyeoun Lim; Se Hoon Choi; Namkug Kim; Kyung-Hyun Do; Joon Beom Seo
Journal:  Eur Radiol       Date:  2017-03-22       Impact factor: 5.315

6.  Imaging characteristics of pathologically proven thymic hyperplasia: identifying features that can differentiate true from lymphoid hyperplasia.

Authors:  Tetsuro Araki; Lynette M Sholl; Victor H Gerbaudo; Hiroto Hatabu; Mizuki Nishino
Journal:  AJR Am J Roentgenol       Date:  2014-03       Impact factor: 3.959

7.  (18)F FDG-PET/CT of malignant thymoma with pleural and diaphragmatic metastases.

Authors:  Smeeta Gajendra; Manas Kumar Sahoo
Journal:  Lung India       Date:  2016 Jan-Feb

8.  Patterns of metastasis and recurrence in thymic epithelial tumours: longitudinal imaging review in correlation with histological subtypes.

Authors:  A Khandelwal; L M Sholl; T Araki; N H Ramaiya; H Hatabu; M Nishino
Journal:  Clin Radiol       Date:  2016-06-03       Impact factor: 2.350

9.  Predicting pathological subtypes and stages of thymic epithelial tumors using DWI: value of combining ADC and texture parameters.

Authors:  Bo Li; Yong-Kang Xin; Gang Xiao; Gang-Feng Li; Shi-Jun Duan; Yu Han; Xiu-Long Feng; Wei-Qiang Yan; Wei-Cheng Rong; Shu-Mei Wang; Yu-Chuan Hu; Guang-Bin Cui
Journal:  Eur Radiol       Date:  2019-03-15       Impact factor: 5.315

10.  CT imaging-based machine learning model: a potential modality for predicting low-risk and high-risk groups of thymoma: "Impact of surgical modality choice".

Authors:  Ayten Kayi Cangir; Kaan Orhan; Yusuf Kahya; Hilal Özakıncı; Betül Bahar Kazak; Buse Mine Konuk Balcı; Duru Karasoy; Çağlar Uzun
Journal:  World J Surg Oncol       Date:  2021-05-11       Impact factor: 2.754

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