The Emerging Role of Fast MR Techniques in Traumatic Brain Injury
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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 MCRbased 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.
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 MCRbased 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.
참고문헌 (33)
- Rachel Kadar, "Trends in demographics and outcome of patients presenting with traumatic brain injury", Clinical and Experimental Emergency Medicine, 6(2), pp.113~118 (2019), 대한응급의학회[DOI]
- Dixon CE, "American Congress of Rehabilitation Medicine", J Head Trauma Rehabil, 8, pp.1~12 (1993)
- "ICD-10: International statistical classification of diseases and related health problems: tenth revision", World health organization, ~ (2004)
- Corso P, "Incidence and lifetime costs of injuries in the United States", Inj Prev, 12, pp.212~218 (2006)
- Spinos P, "Postconcussion syndrome after mild traumatic brain injury in Western Greece", J Trauma, 69, pp.789~794 (2010)
- Bai L, "Strategic white matter injury associated with long-term information processing speed deficits in mild traumatic brain injury", Hum Brain Mapp, 41, pp.4431~4441 (2020)
- Mohammadian M, "Alterations in microstructure and local fiber orientation of white matter are associated with outcome after mild traumatic brain injury", J Neurotrauma, 37, pp.2616~2623 (2020)
- Bazarian JJ, "Diffusion tensor imaging detects clinically important axonal damage after mild traumatic brain injury : a pilot study", J Neurotrauma, 24, pp.1447~1459 (2007)
- Bendlin BB, "Longitudinal changes in patients with traumatic brain injury assessed with diffusion-tensor and volumetric imaging", Neuroimage, 42, pp.503~514 (2008)
- Kraus MF, "White matter integrity and cognition in chronic traumatic brain injury : a diffusion tensor imaging study", Brain, 130, pp.2508~2519 (2007)
- Kumar R, "Comparative evaluation of corpus callosum DTI metrics in acute mild and moderate traumatic brain injury : its correlation with neuropsychometric tests", Brain Inj, 23, pp.675~685 (2009)
- Mayer AR, "A prospective diffusion tensor imaging study in mild traumatic brain injury", Neurology, 74, pp.643~650 (2010)
- Shenton ME, "A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury", Brain Imaging Behav, 6, pp.137~192 (2012)
- Klawiter EC, "Radial diffusivity predicts demyelination in ex vivo multiple sclerosis spinal cords", Neuroimage, 55, pp.1454~1460 (2011)
- Madden DJ, "Cerebral white matter integrity and cognitive aging : contributions from diffusion tensor imaging", Neuropsychol Rev, 19, pp.415~435 (2009)
- Wheeler-Kingshott CA, "About"axial"and"radial"diffusivities", Magn Reson Med, 61, pp.1255~1260 (2009)
- Bramlett HM, "Quantitative structural changes in white and gray matter 1 year following traumatic brain injury in rats", Acta Neuropathol, 103, pp.607~614 (2002)
- Donovan V, "Repeated mild traumatic brain injury results in long-term white-matter disruption", J Cereb Blood Flow Metab, 34, pp.715~723 (2014)
- Park SJ, "Blended-transfer learning for compressedsensing cardiac CINE MRI", Investig Magn Reson Imaging, 25, pp.10~22 (2021)
- Kozak BM, "MRI techniques to decrease imaging times in children", Radiographics, 40, pp.485~502 (2020)
- Jurick SM, "Pilot investigation of a novel white matter imaging technique in Veterans with and without history of mild traumatic brain injury", Brain Inj, 32, pp.1256~1265 (2018)
- Bouhrara M, "Rapid simultaneous highresolution mapping of myelin water fraction and relaxation times in human brain using BMC-mcDESPOT", Neuroimage, 147, pp.800~811 (2017)
- Wright AD, "Myelin water fraction is transiently reduced after a single mild traumatic brain injury--a prospective cohort study in collegiate hockey players", PLoS One, 11, pp.e0150215~ (2016)
- Spader HS, "Prospective study of myelin water fraction changes after mild traumatic brain injury in collegiate contact sports", J Neurosurg, 2018, pp.1~9
- Warntjes M, "Modeling the presence of myelin and edema in the brain based on multi-parametric quantitative MRI", Front Neurol, 7, pp.16~ (2016)
- Hagiwara A, "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, 54, pp.39~47 (2019)
- Warntjes JBM, "Myelin detection using rapid quantitative MR imaging correlated to macroscopically registered Luxol fast blue-stained brain specimens", AJNR Am J Neuroradiol, 38, pp.1096~1102 (2017)
- Hagiwara A, "Myelin measurement : comparison between simultaneous tissue relaxometry, magnetization transfer saturation index, and T1w", T2w ratio methods, 2018, pp.8, 10554~
- Hagiwara A, "SyMRI of the brain : rapid quantification of relaxation rates and proton density, with synthetic MRI, automatic brain segmentation, and myelin measurement", Invest Radiol, 52, pp.647~657 (2017)
- Warntjes JB, "Rapid magnetic resonance quantification on the brain : optimization for clinical usage", Magn Reson Med, 60, pp.320~329 (2008)
- Hagiwara A, "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, 38, pp.237~242 (2017)
- 윤성원, "Multi-Parametric Quantitative MRI for Measuring Myelin Loss in Hyperglycemia-Induced Hemichorea", Investigative Magnetic Resonance Imaging, 23(2), pp.148~156 (2019), 대한자기공명의과학회
- Seo MK, "Diagnostic value of susceptibility-weighted MRI in differentiating cerebellopontine angle schwannoma from meningioma", Investig Magn Reson Imaging, 24, pp.38~45 (2020)
