Magnetic resonance relaxometry in quantitative imaging of brain gliomas: A literature review

Author:

Chekhonin Ivan V12ORCID,Cohen Ouri3,Otazo Ricardo34,Young Robert J4,Holodny Andrei I456,Pronin Igor N1

Affiliation:

1. Federal State Autonomous Institution N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, Moscow, Russian Federation

2. Federal State Budgetary Institution V.P. Serbsky National Medical Research Centre for Psychiatry and Narcology of the Ministry of Health of the Russian Federation, Moscow, Russian Federation

3. Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA

4. Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA

5. Department of Radiology, Weill Medical College of Cornell University, New York, NY, USA

6. Department of Neuroscience, Weill Cornell Graduate School of the Medical Sciences, New York, NY, USA

Abstract

Magnetic resonance (MR) relaxometry is a quantitative imaging method that measures tissue relaxation properties. This review discusses the state of the art of clinical proton MR relaxometry for glial brain tumors. Current MR relaxometry technology also includes MR fingerprinting and synthetic MRI, which solve the inefficiencies and challenges of earlier techniques. Despite mixed results regarding its capability for brain tumor differential diagnosis, there is growing evidence that MR relaxometry can differentiate between gliomas and metastases and between glioma grades. Studies of the peritumoral zones have demonstrated their heterogeneity and possible directions of tumor infiltration. In addition, relaxometry offers T2* mapping that can define areas of tissue hypoxia not discriminated by perfusion assessment. Studies of tumor therapy response have demonstrated an association between survival and progression terms and dynamics of native and contrast-enhanced tumor relaxometric profiles. In conclusion, MR relaxometry is a promising technique for glial tumor diagnosis, particularly in association with neuropathological studies and other imaging techniques.

Funder

Russian Science Foundation

National Institutes of Health / National Cancer Institute Cancer Center Support

Publisher

SAGE Publications

Subject

Neurology (clinical),Radiology, Nuclear Medicine and imaging,General Medicine

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