Multimodal Advanced Imaging for Concussion - 22/11/17

Doi : 10.1016/j.nic.2017.09.001

Khader M. Hasan, PhD ^a,^⁎ , Zafer Keser, MD ^b, Paul E. Schulz, MD ^b, Elisabeth A. Wilde, PhD ^c,^d,^e
^a Department of Diagnostic and Interventional Imaging, The University of Texas Health Science Center, McGovern Medical School, 6431 Fannin Street, MSB 2.100, Houston, TX 77030, USA
^b Department of Neurology, The University of Texas Health Science Center, McGovern Medical School, 6431 Fannin Street, Houston, TX 77030, USA
^c Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Michael E. DeBakey VA Medical Center, 7200 Cambridge Street, Suite 9A, Houston, TX 77030, USA
^d Department of Neurology, Baylor College of Medicine, Michael E. DeBakey VA Medical Center, 7200 Cambridge Street, Suite 9A, Houston, TX 77030, USA
^e Department of Radiology, Baylor College of Medicine, Michael E. DeBakey VA Medical Center, 7200 Cambridge Street, Suite 9A, Houston, TX 77030, USA

^∗Corresponding author.

Résumé

In the United States alone, 1.6 to 3.8 million people have sports-related concussions yearly. The patho-mechanisms of concussions may not be directly measured by conventional neuroimaging; advanced models may be needed to address the shortcomings of the current clinical protocols. Multimodal advanced imaging may provide more accurate diagnosis and predict the clinical course of concussion, assessing the efficacy of existing and emerging multifaceted therapies. In this article, the authors present an overview and pictorial display of conventional and advanced multimodal MR imaging methods that have been applied to identify the brain structures affected in traumatic brain injuries.

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Keywords : Concussion, Multimodal imaging, Traumatic brain injury (TBI), Quantitative MR imaging, Cortical thickness, Diffusion tensor imaging (DTI), Kurtosis, Intravoxel incoherent motion (IVIM)