Article ; Online: The thymus: what's normal and what's not? Problem-solving with MRI.
2023 Volume 78, Issue 12, Page(s) 885–894
Abstract: Anterior mediastinal masses can be difficult to characterise on computed tomography (CT) due to the wide spectrum of normal appearances of thymic tissue as well as the challenge of differentiating between benign and malignant pathologies. Additionally, ... ...
| Abstract | Anterior mediastinal masses can be difficult to characterise on computed tomography (CT) due to the wide spectrum of normal appearances of thymic tissue as well as the challenge of differentiating between benign and malignant pathologies. Additionally, attenuation of cystic mediastinal lesions can be misinterpreted on CT due to varying attenuation values. Anecdotally, non-vascular magnetic resonance imaging (MRI) of the thorax is underutilised across radiology departments in the UK, but has been shown to improve diagnostic certainty and reduce unnecessary surgical intervention. T2-weighted MRI is useful in confirming the cystic nature of lesions, whereas chemical shift techniques can be utilised to document the presence of macroscopic and intra-cellular fat and thus help distinguish between benign and malignant pathologies. In this review article, we present a practical approach to using MRI for the characterisation of anterior mediastinal lesions based on our clinical experience in a UK district general hospital. |
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| MeSH term(s) | Humans ; Mediastinal Neoplasms/diagnostic imaging ; Mediastinal Neoplasms/pathology ; Magnetic Resonance Imaging/methods ; Thymus Gland/diagnostic imaging ; Tomography, X-Ray Computed/methods ; Mediastinum/diagnostic imaging | |||||
| Language | English | |||||
| Publishing date | 2023-09-02 | |||||
| Publishing country | England | |||||
| Document type | Journal Article ; Review | |||||
| ZDB-ID | 391227-9 | |||||
| ISSN | 1365-229X ; 0009-9260 | |||||
| ISSN (online) | 1365-229X | |||||
| ISSN | 0009-9260 | |||||
| DOI | 10.1016/j.crad.2023.08.015 | |||||
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| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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