본문 바로가기
KERD
논문KCI 등재

The Emerging Role of Fast MR Techniques in Traumatic Brain Injury

1

조회

0

다운로드

0

인용

0

참고문헌

키워드

주제분류방사선과학

초록

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)

  1. 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]
  2. Dixon CE, "American Congress of Rehabilitation Medicine", J Head Trauma Rehabil, 8, pp.1~12 (1993)
  3. "ICD-10: International statistical classification of diseases and related health problems: tenth revision", World health organization, ~ (2004)
  4. Corso P, "Incidence and lifetime costs of injuries in the United States", Inj Prev, 12, pp.212~218 (2006)
  5. Spinos P, "Postconcussion syndrome after mild traumatic brain injury in Western Greece", J Trauma, 69, pp.789~794 (2010)
  6. 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)
  7. 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)
  8. 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)
  9. Bendlin BB, "Longitudinal changes in patients with traumatic brain injury assessed with diffusion-tensor and volumetric imaging", Neuroimage, 42, pp.503~514 (2008)
  10. Kraus MF, "White matter integrity and cognition in chronic traumatic brain injury : a diffusion tensor imaging study", Brain, 130, pp.2508~2519 (2007)
  11. 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)
  12. Mayer AR, "A prospective diffusion tensor imaging study in mild traumatic brain injury", Neurology, 74, pp.643~650 (2010)
  13. 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)
  14. Klawiter EC, "Radial diffusivity predicts demyelination in ex vivo multiple sclerosis spinal cords", Neuroimage, 55, pp.1454~1460 (2011)
  15. Madden DJ, "Cerebral white matter integrity and cognitive aging : contributions from diffusion tensor imaging", Neuropsychol Rev, 19, pp.415~435 (2009)
  16. Wheeler-Kingshott CA, "About"axial"and"radial"diffusivities", Magn Reson Med, 61, pp.1255~1260 (2009)
  17. 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)
  18. Donovan V, "Repeated mild traumatic brain injury results in long-term white-matter disruption", J Cereb Blood Flow Metab, 34, pp.715~723 (2014)
  19. Park SJ, "Blended-transfer learning for compressedsensing cardiac CINE MRI", Investig Magn Reson Imaging, 25, pp.10~22 (2021)
  20. Kozak BM, "MRI techniques to decrease imaging times in children", Radiographics, 40, pp.485~502 (2020)
  21. 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)
  22. 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)
  23. 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)
  24. Spader HS, "Prospective study of myelin water fraction changes after mild traumatic brain injury in collegiate contact sports", J Neurosurg, 2018, pp.1~9
  25. Warntjes M, "Modeling the presence of myelin and edema in the brain based on multi-parametric quantitative MRI", Front Neurol, 7, pp.16~ (2016)
  26. 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)
  27. 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)
  28. Hagiwara A, "Myelin measurement : comparison between simultaneous tissue relaxometry, magnetization transfer saturation index, and T1w", T2w ratio methods, 2018, pp.8, 10554~
  29. 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)
  30. Warntjes JB, "Rapid magnetic resonance quantification on the brain : optimization for clinical usage", Magn Reson Med, 60, pp.320~329 (2008)
  31. 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)
  32. 윤성원, "Multi-Parametric Quantitative MRI for Measuring Myelin Loss in Hyperglycemia-Induced Hemichorea", Investigative Magnetic Resonance Imaging, 23(2), pp.148~156 (2019), 대한자기공명의과학회
  33. Seo MK, "Diagnostic value of susceptibility-weighted MRI in differentiating cerebellopontine angle schwannoma from meningioma", Investig Magn Reson Imaging, 24, pp.38~45 (2020)

관련 논문AI추천

Current Clinical Applications of Diffusion-Tensor Imaging in Neurological Disorders강신혁, 김병조, 태우석, 편성범, 함병주대한신경과학회 · Journal of Clinical Neurology2018 · 제14권 제2호Diffusion MRI With High to Ultrahigh b-Values: How It Will Benefit the Discovery of Brain Microstructure and Pathological ChangesHongjian He, Jianhui Zhong, Min Feng, Paween Wongkornchaovalit대한자기공명의과학회 · Investigative Magnetic Resonance Imaging2022 · 제26권 제4호Exploring Generalization Capacity of Artificial Neural Network for Myelin Water Imaging김응엽, 오세홍, 이종호, 이지은, Dongmyung Shin, Joon Yul Choi대한자기공명의과학회 · Investigative Magnetic Resonance Imaging2020 · 제24권 제4호Diffusion Encoding Methods in MRI: Perspectives and ChallengesAlan Finkelstein, Congyu Liao, Giovanni Schifitto, Jianhui Zhong, Xiaozhi Cao대한자기공명의과학회 · Investigative Magnetic Resonance Imaging2022 · 제26권 제4호Diagnostic History of Traumatic Axonal Injury in Patients with Cerebral Concussion and Mild Traumatic Brain Injury장성호대한뇌신경재활학회 · 뇌신경재활2016 · 제9권 제2호Evaluation of White Matter Abnormality in Mild Alzheimer Disease and Mild Cognitive Impairment Using Diffusion Tensor Imaging: A Comparison of Tract-Based Spatial Statistics with Voxel-Based Morphometry김남국, 김상준, 김성윤, 김형준, 이재홍, 임현경, 장건호, 최충곤대한자기공명의과학회 · Investigative Magnetic Resonance Imaging2012 · 제16권 제2호

이 간행물의 다른 논문 (8건)