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Emerging MRI Techniques to Redefine Treatment Response in Patients With Glioblastoma
Author(s) -
Gonçalves Fabrício Guimarães,
Chawla Sanjeev,
Mohan Suyash
Publication year - 2020
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.27105
Subject(s) - neuroimaging , diffusion mri , magnetic resonance imaging , glioblastoma , medicine , medical physics , in vivo magnetic resonance spectroscopy , diffusion imaging , radiology , computer science , psychiatry , cancer research
Glioblastoma is the most common and most malignant primary brain tumor. Despite aggressive multimodal treatment, its prognosis remains poor. Even with continuous developments in MRI, which has provided us with newer insights into the diagnosis and understanding of tumor biology, response assessment in the posttherapy setting remains challenging. We believe that the integration of additional information from advanced neuroimaging techniques can further improve the diagnostic accuracy of conventional MRI. In this article, we review the utility of advanced neuroimaging techniques such as diffusion‐weighted imaging, diffusion tensor imaging, perfusion‐weighted imaging, proton magnetic resonance spectroscopy, and chemical exchange saturation transfer in characterizing and evaluating treatment response in patients with glioblastoma. We will also discuss the existing challenges and limitations of using these techniques in clinical settings and possible solutions to avoiding pitfalls in study design, data acquisition, and analysis for future studies. Level of Evidence 2 Technical Efficacy Stage 3 J. Magn. Reson. Imaging 2020;52:978–997.