Advancement in Diagnostic Imaging of Thymic Tumors
| Autor: | Maria Antonietta Mazzei, Ilaria Monteleone, Francesco Giuseppe Mazzei, Susanna Guerrini, Francesco Gentili, Luca Volterrani, Davide Del Roscio, Luca Luzzi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Cancer Research
medicine.medical_specialty Thymoma Thymic Tumors Anterior mediastinum thymoma diagnosis 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Radiomics medicine Medical imaging RC254-282 business.industry Neoplasms. Tumors. Oncology. Including cancer and carcinogens medicine.disease Primary Neoplasm CT Thymoma diagnosis Thymoma imaging Oncology 030220 oncology & carcinogenesis thymoma imaging Commentary Radiology Lymph Differential diagnosis business |
| Zdroj: | Cancers, Vol 13, Iss 3599, p 3599 (2021) Cancers |
| ISSN: | 2072-6694 |
| Popis: | Simple Summary Diagnostic imaging is pivotal for the diagnosis and staging of thymic tumors. It is important to distinguish thymoma and other tumor histotypes amenable to surgery from lymphoma. Furthermore, in cases of thymoma, it is necessary to differentiate between early and advanced disease before surgery since patients with locally advanced tumors require neoadjuvant chemotherapy for improving survival. This review aims to provide to radiologists a full spectrum of findings of thymic neoplasms using traditional and innovative imaging modalities. Abstract Thymic tumors are rare neoplasms even if they are the most common primary neoplasm of the anterior mediastinum. In the era of advanced imaging modalities, such as functional MRI, dual-energy CT, perfusion CT and radiomics, it is possible to improve characterization of thymic epithelial tumors and other mediastinal tumors, assessment of tumor invasion into adjacent structures and detection of secondary lymph nodes and metastases. This review aims to illustrate the actual state of the art in diagnostic imaging of thymic lesions, describing imaging findings of thymoma and differential diagnosis. |
| Databáze: | OpenAIRE |
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