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http://dx.doi.org/10.13104/imri.2021.25.2.76

The Emerging Role of Fast MR Techniques in Traumatic Brain Injury  

Yoo, Roh-Eul (Department of Radiology, Seoul National University Hospital)
Choi, Seung Hong (Department of Radiology, Seoul National University Hospital)
Publication Information
Investigative Magnetic Resonance Imaging / v.25, no.2, 2021 , pp. 76-80 More about this Journal
Abstract
Post-concussion syndrome (PCS) following mild traumatic brain injury (mTBI) is a major factor that contributes to the increased socioeconomic burden caused by TBI. Myelin loss has been implicated in the development of PCS following mTBI. Diffusion tensor imaging (DTI), a traditional imaging modality for the evaluation of axonal and myelin integrity in mTBI, has intrinsic limitations, including its lack of specificity and its time-consuming and labor-intensive post-processing analysis. More recently, various fast MR techniques based on multicomponent relaxometry (MCR), including QRAPMASTER, mcDESPOT, and MDME sequences, have been developed. These MCR-based sequences can provide myelin water fraction/myelin volume fraction, a quantitative parameter more specific to myelin, which might serve as a surrogate marker of myelin volume, in a clinically feasible time. In this review, we summarize the clinical application of the MCR-based fast MR techniques in mTBI patients.
Keywords
Post-concussion syndrome; Mild traumatic brain injury; Myelin; Diffusion tensor imaging; Multi-component relaxometry;
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1 Corso P, Finkelstein E, Miller T, Fiebelkorn I, Zaloshnja E. Incidence and lifetime costs of injuries in the United States. Inj Prev 2006;12:212-218   DOI
2 Bai L, Bai G, Wang S, et al. Strategic white matter injury associated with long-term information processing speed deficits in mild traumatic brain injury. Hum Brain Mapp 2020;41:4431-4441   DOI
3 Bendlin BB, Ries ML, Lazar M, et al. Longitudinal changes in patients with traumatic brain injury assessed with diffusion-tensor and volumetric imaging. Neuroimage 2008;42:503-514   DOI
4 Mayer AR, Ling J, Mannell MV, et al. A prospective diffusion tensor imaging study in mild traumatic brain injury. Neurology 2010;74:643-650   DOI
5 Donovan V, Kim C, Anugerah AK, et al. Repeated mild traumatic brain injury results in long-term white-matter disruption. J Cereb Blood Flow Metab 2014;34:715-723   DOI
6 Park SJ, Ahn CB. Blended-transfer learning for compressedsensing cardiac CINE MRI. Investig Magn Reson Imaging 2021;25:10-22   DOI
7 Kozak BM, Jaimes C, Kirsch J, Gee MS. MRI techniques to decrease imaging times in children. Radiographics 2020;40:485-502   DOI
8 Jurick SM, Hoffman SN, Sorg S, et al. Pilot investigation of a novel white matter imaging technique in Veterans with and without history of mild traumatic brain injury. Brain Inj 2018;32:1256-1265
9 Bouhrara M, Spencer RG. Rapid simultaneous highresolution mapping of myelin water fraction and relaxation times in human brain using BMC-mcDESPOT. Neuroimage 2017;147:800-811   DOI
10 Warntjes M, Engstrom M, Tisell A, Lundberg P. Modeling the presence of myelin and edema in the brain based on multi-parametric quantitative MRI. Front Neurol 2016;7:16
11 Hagiwara A, Hori M, Kamagata K, et al. Myelin measurement: comparison between simultaneous tissue relaxometry, magnetization transfer saturation index, and T1w/T2w ratio methods. Sci Rep 2018;8:10554   DOI
12 Hagiwara A, Hori M, Cohen-Adad J, et al. Linearity, bias, intrascanner repeatability, and interscanner reproducibility of quantitative multidynamic multiecho sequence for rapid simultaneous relaxometry at 3 T: a validation study with a standardized phantom and healthy controls. Invest Radiol 2019;54:39-47   DOI
13 Bramlett HM, Dietrich WD. Quantitative structural changes in white and gray matter 1 year following traumatic brain injury in rats. Acta Neuropathol 2002;103:607-614   DOI
14 Warntjes JBM, Persson A, Berge J, Zech W. Myelin detection using rapid quantitative MR imaging correlated to macroscopically registered Luxol fast blue-stained brain specimens. AJNR Am J Neuroradiol 2017;38:1096-1102   DOI
15 Warntjes JB, Leinhard OD, West J, Lundberg P. Rapid magnetic resonance quantification on the brain: optimization for clinical usage. Magn Reson Med 2008;60:320-329   DOI
16 Seo MK, Choi YS, Lee S, et al. Diagnostic value of susceptibility-weighted MRI in differentiating cerebellopontine angle schwannoma from meningioma. Investig Magn Reson Imaging 2020;24:38-45   DOI
17 Hagiwara A, Hori M, Yokoyama K, et al. Utility of a multiparametric quantitative MRI model that assesses myelin and edema for evaluating plaques, periplaque white matter, and normal-appearing white matter in patients with multiple sclerosis: a feasibility study. AJNR Am J Neuroradiol 2017;38:237-242   DOI
18 Wright AD, Jarrett M, Vavasour I, et al. Myelin water fraction is transiently reduced after a single mild traumatic brain injury--a prospective cohort study in collegiate hockey players. PLoS One 2016;11:e0150215   DOI
19 Youn SW, Kwon OD, Hwang, MJ. Multi-parametric quantitative MRI for measuring myelin loss in hyperglycemia-induced hemichorea. Investig Magn Reson Imaging 2019;23:148-156   DOI
20 Hagiwara A, Warntjes M, Hori M, et al. SyMRI of the brain: rapid quantification of relaxation rates and proton density, with synthetic MRI, automatic brain segmentation, and myelin measurement. Invest Radiol 2017;52:647-657   DOI
21 Kumar R, Gupta RK, Husain M, et al. Comparative evaluation of corpus callosum DTI metrics in acute mild and moderate traumatic brain injury: its correlation with neuropsychometric tests. Brain Inj 2009;23:675-685   DOI
22 Shenton ME, Hamoda HM, Schneiderman JS, et al. A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury. Brain Imaging Behav 2012;6:137-192   DOI
23 Spader HS, Dean DC, LaFrance WC, et al. Prospective study of myelin water fraction changes after mild traumatic brain injury in collegiate contact sports. J Neurosurg 2018:1-9
24 Klawiter EC, Schmidt RE, Trinkaus K, et al. Radial diffusivity predicts demyelination in ex vivo multiple sclerosis spinal cords. Neuroimage 2011;55:1454-1460   DOI
25 Madden DJ, Bennett IJ, Song AW. Cerebral white matter integrity and cognitive aging: contributions from diffusion tensor imaging. Neuropsychol Rev 2009;19:415-435   DOI
26 Wheeler-Kingshott CA, Cercignani M. About "axial" and "radial" diffusivities. Magn Reson Med 2009;61:1255-1260   DOI
27 Kadar R, Rochford D, Omi E, Thomas Y, Patel K, Kulstad E. Trends in demographics and outcome of patients presenting with traumatic brain injury. Clin Exp Emerg Med 2019;6:113-118   DOI
28 Dixon CE, Taft WC, Hayes RL. Mild Traumatic Brain Injury Committee, Head Injury Interdisciplinary Special Interest Group, American Congress of Rehabilitation Medicine. J Head Trauma Rehabil 1993;8:1-12   DOI
29 Spinos P, Sakellaropoulos G, Georgiopoulos M, et al. Postconcussion syndrome after mild traumatic brain injury in Western Greece. J Trauma 2010;69:789-794   DOI
30 Mohammadian M, Roine T, Hirvonen J, et al. Alterations in microstructure and local fiber orientation of white matter are associated with outcome after mild traumatic brain injury. J Neurotrauma 2020;37:2616-2623   DOI
31 ICD-10: International statistical classification of diseases and related health problems: tenth revision, 2nd ed. Geneva: World health organization, 2004
32 Bazarian JJ, Zhong J, Blyth B, Zhu T, Kavcic V, Peterson D. Diffusion tensor imaging detects clinically important axonal damage after mild traumatic brain injury: a pilot study. J Neurotrauma 2007;24:1447-1459   DOI
33 Kraus MF, Susmaras T, Caughlin BP, Walker CJ, Sweeney JA, Little DM. White matter integrity and cognition in chronic traumatic brain injury: a diffusion tensor imaging study. Brain 2007;130:2508-2519   DOI