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Neuroinflammation and immunoregulation in glioblastoma and brain metastases: Recent developments in imaging approaches

期刊

CLINICAL AND EXPERIMENTAL IMMUNOLOGY
卷 206, 期 3, 页码 314-324

出版社

OXFORD UNIV PRESS
DOI: 10.1111/cei.13668

关键词

brain metastases; brain tumor; glioblastoma; imaging; magnetic resonance imaging; positron emission tomography

资金

  1. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico [305647/2019-9]
  2. Center for Advanced Neurology and Neurosurgery (CEANNE)-Brazil

向作者/读者索取更多资源

Brain tumors and metastases lead to changes in brain tissue remodeling, immunosuppression, and inflammatory responses, affecting invasion and metastasis. Radiotherapy may cause neuroinflammatory and necrotic lesions. GBM is the most aggressive primary malignant brain tumor in adults.
Brain tumors and brain metastases induce changes in brain tissue remodeling that lead to immunosuppression and trigger an inflammatory response within the tumor microenvironment. These immune and inflammatory changes can influence invasion and metastasis. Other neuroinflammatory and necrotic lesions may occur in patients with brain cancer or brain metastases as sequelae from treatment with radiotherapy. Glioblastoma (GBM) is the most aggressive primary malignant brain cancer in adults. Imaging methods such as positron emission tomography (PET) and different magnetic resonance imaging (MRI) techniques are highly valuable for the diagnosis and therapeutic evaluation of GBM and other malignant brain tumors. However, differentiating between tumor tissue and inflamed brain tissue with imaging protocols remains a challenge. Here, we review recent advances in imaging methods that have helped to improve the specificity of primary tumor diagnosis versus evaluation of inflamed and necrotic brain lesions. We also comment on advances in differentiating metastasis from neuroinflammation processes. Recent advances include the radiosynthesis of F-18-FIMP, an L-type amino acid transporter 1 (LAT1)-specific PET probe that allows clearer differentiation between tumor tissue and inflammation compared to previous probes, and the combination of different advanced imaging protocols with the inclusion of radiomics and machine learning algorithms.

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