Literature DB >> 31925884

Clinical Imaging for Diagnostic Challenges in the Management of Gliomas: A Review.

Alipi V Bonm1, Reed Ritterbusch2, Patrick Throckmorton2, Jerome J Graber1,3.   

Abstract

Neuroimaging plays a critical role in the management of patients with gliomas. While conventional magnetic resonance imaging (MRI) remains the standard imaging modality, it is frequently insufficient to inform clinical decision-making. There is a need for noninvasive strategies for reliably distinguishing low-grade from high-grade gliomas, identifying important molecular features of glioma, choosing an appropriate target for biopsy, delineating target area for surgery or radiosurgery, and distinguishing tumor progression (TP) from pseudoprogression (PsP). One recent advance is the identification of the T2/fluid-attenuated inversion recovery mismatch sign on standard MRI to identify isocitrate dehydrogenase mutant astrocytomas. However, to meet other challenges, neuro-oncologists are increasingly turning to advanced imaging modalities. Diffusion-weighted imaging modalities including diffusion tensor imaging and diffusion kurtosis imaging can be helpful in delineating tumor margins and better visualization of tissue architecture. Perfusion imaging including dynamic contrast-enhanced MRI using gadolinium or ferumoxytol contrast agents can be helpful for grading as well as distinguishing TP from PsP. Positron emission tomography is useful for measuring tumor metabolism, which correlates with grade and can distinguish TP/PsP in the right setting. Magnetic resonance spectroscopy can identify tissue by its chemical composition, can distinguish TP/PsP, and can identify molecular features like 2-hydroxyglutarate. Finally, amide proton transfer imaging measures intracellular protein content, which can be used to identify tumor grade/progression and distinguish TP/PsP.
© 2020 by the American Society of Neuroimaging.

Entities:  

Keywords:  Glioma; T2-FLAIR mismatch; pseudoprogression

Mesh:

Year:  2020        PMID: 31925884      PMCID: PMC8300867          DOI: 10.1111/jon.12687

Source DB:  PubMed          Journal:  J Neuroimaging        ISSN: 1051-2284            Impact factor:   2.486


  73 in total

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Authors:  Changho Choi; Sandeep K Ganji; Ralph J DeBerardinis; Kimmo J Hatanpaa; Dinesh Rakheja; Zoltan Kovacs; Xiao-Li Yang; Tomoyuki Mashimo; Jack M Raisanen; Isaac Marin-Valencia; Juan M Pascual; Christopher J Madden; Bruce E Mickey; Craig R Malloy; Robert M Bachoo; Elizabeth A Maher
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