Tract-specific quantitative MRI better correlates with disability than conventional MRI in multiple sclerosis
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  • 作者:Daniel M. Harrison (1)
    Navid Shiee (2) (3) (4)
    Pierre-Louis Bazin (5)
    Scott D. Newsome (1)
    John N. Ratchford (1)
    Dzung Pham (2) (3) (6)
    Peter A. Calabresi (1)
    Daniel S. Reich (1) (4) (7)
  • 关键词:Multiple sclerosis ; Diffusion tensor imaging ; Magnetization transfer ratio ; MRI ; Disability
  • 刊名:Journal of Neurology
  • 出版年:2013
  • 出版时间:February 2013
  • 年:2013
  • 卷:260
  • 期:2
  • 页码:397-406
  • 全文大小:294KB
  • 参考文献:1. Barkhof F (2002) The clinico-radiological paradox in multiple sclerosis revisited. Curr Opin Neurol 15(3):239鈥?45 CrossRef
    2. Filippi M et al (2001) Diffusion tensor magnetic resonance imaging in multiple sclerosis. Neurology 56(3):304鈥?11 CrossRef
    3. Filippi M et al (1995) A magnetization transfer imaging study of normal-appearing white matter in multiple sclerosis. Neurology 45(3 Pt 1):478鈥?82 CrossRef
    4. Filippi M, Rocca MA, Comi G (1998) Magnetization transfer ratios of multiple sclerosis lesions with variable durations of enhancement. J Neurol Sci 159(2):162鈥?65 CrossRef
    5. DeBoy CA et al (2007) High resolution diffusion tensor imaging of axonal damage in focal inflammatory and demyelinating lesions in rat spinal cord. Brain 130(Pt 8):2199鈥?210 CrossRef
    6. Song SK et al (2005) Demyelination increases radial diffusivity in corpus callosum of mouse brain. Neuroimage 26(1):132鈥?40 CrossRef
    7. Zhang J et al (2009) Diffusion tensor magnetic resonance imaging of wallerian degeneration in rat spinal cord after dorsal root axotomy. J Neurosci 29(10):3160鈥?171 CrossRef
    8. Schmierer K et al (2007) Quantitative magnetization transfer imaging in postmortem multiple sclerosis brain. J Magn Reson Imaging 26(1):41鈥?1 CrossRef
    9. Reich DS et al (2009) Damage to the optic radiation in multiple sclerosis is associated with retinal injury and visual disability. Arch Neurol 66(8):998鈥?006 CrossRef
    10. Giorgio A et al (2010) Relationships of brain white matter microstructure with clinical and MR measures in relapsing-remitting multiple sclerosis. J Magn Reson Imaging 31(2):309鈥?16 CrossRef
    11. Agosta F et al (2006) Magnetization transfer MRI metrics predict the accumulation of disability 8聽years later in patients with multiple sclerosis. Brain 129(10):2620鈥?627 CrossRef
    12. Harrison DM et al (2011) Longitudinal changes in diffusion tensor-based quantitative MRI in multiple sclerosis. Neurology 76(2):179鈥?86 CrossRef
    13. Reich DS et al (2010) Automated vs. conventional tractography in multiple sclerosis: variability and correlation with disability. Neuroimage 49(4):3047鈥?056 CrossRef
    14. Ozturk A et al (2010) MRI of the corpus callosum in multiple sclerosis: association with disability. Mult Scler 16(2):166鈥?77 CrossRef
    15. Shiee N et al (2010) A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions. Neuroimage 49(2):1524鈥?535 CrossRef
    16. Shiee N et al (2012) Revisiting brain atrophy and its relationship to disability in multiple sclerosis. PLoS ONE 7(5):e37049 CrossRef
    17. Kurtzke JF (1983) Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 33(11):1444鈥?452 CrossRef
    18. Cutter GR et al (1999) Development of a multiple sclerosis functional composite as a clinical trial outcome measure. Brain 122(5):871鈥?82 CrossRef
    19. Fischer JS et al (1999) The multiple sclerosis functional composite measure (MSFC): an integrated approach to MS clinical outcome assessment. National MS Society Clinical Outcomes Assessment Task Force. Mult Scler 5(4):244鈥?50
    20. Rudick R et al (1997) Recommendations from the National Multiple Sclerosis Society Clinical Outcomes Assessment Task Force. Ann Neurol 42(3):379鈥?82 CrossRef
    21. Baier ML et al (2005) Low-contrast letter acuity testing captures visual dysfunction in patients with multiple sclerosis. Neurology 64(6):992鈥?95 CrossRef
    22. Balcer LJ, Frohman EM (2010) Evaluating loss of visual function in multiple sclerosis as measured by low-contrast letter acuity. Neurology 74(Suppl 3):S16鈥揝23
    23. Henry RG et al (2009) Connecting white matter injury and thalamic atrophy in clinically isolated syndromes. J Neurol Sci 282(1鈥?):61鈥?6 CrossRef
    24. De Stefano N et al (2002) MR correlates of cerebral atrophy in patients with multiple sclerosis. J Neurol 249(8):1072鈥?077 CrossRef
    25. Petzold A, Tozer DJ, Schmierer K (2011) Axonal damage in the making: neurofilament phosphorylation, proton mobility and magnetisation transfer in multiple sclerosis normal appearing white matter. Exp Neurol 232(2):234鈥?39 CrossRef
    26. Pulizzi A et al (2007) Determinants of disability in multiple sclerosis at various disease stages: a multiparametric magnetic resonance study. Arch Neurol 64(8):1163鈥?168 CrossRef
    27. Ceccarelli A et al (2007) Normal-appearing white and grey matter damage in MS. A volumetric and diffusion tensor MRI study at 3.0 Tesla. J Neurol 254(4):513鈥?18 CrossRef
    28. Vrenken H et al (2010) Diffusely abnormal white matter in progressive multiple sclerosis: in vivo quantitative MR imaging characterization and comparison between disease types. Am J Neuroradiol 31(3):541鈥?48 CrossRef
    29. Tsunoda I et al (2003) Axonal injury heralds virus-induced demyelination. Am J Pathol 162(4):1259鈥?269 CrossRef
    30. Trapp BD et al (1998) Axonal transection in the lesions of multiple sclerosis. N Engl J Med 338(5):278鈥?85 CrossRef
    31. Bodini B et al (2009) Exploring the relationship between white matter and gray matter damage in early primary progressive multiple sclerosis: an in vivo study with TBSS and VBM. Hum Brain Mapp 30(9):2852鈥?861 CrossRef
    32. van den Elskamp IJ et al (2010) Lesional magnetization transfer ratio: a feasible outcome for remyelinating treatment trials in multiple sclerosis. Mult Scler 16(6):660鈥?69 CrossRef
    33. Fox RJ et al (2011) Measuring myelin repair and axonal loss with diffusion tensor imaging. Am J Neuroradiol 32(1):85鈥?1
    34. Fink F et al (2010) Comparison of diffusion tensor-based tractography and quantified brain atrophy for analyzing demyelination and axonal loss in MS. J Neuroimaging 20(4):334鈥?44 CrossRef
    35. Preziosa P et al (2011) Intrinsic damage to the major white matter tracts in patients with different clinical phenotypes of multiple sclerosis: a voxelwise diffusion-tensor MR study. Radiology 260(2):540鈥?50 CrossRef
  • 作者单位:Daniel M. Harrison (1)
    Navid Shiee (2) (3) (4)
    Pierre-Louis Bazin (5)
    Scott D. Newsome (1)
    John N. Ratchford (1)
    Dzung Pham (2) (3) (6)
    Peter A. Calabresi (1)
    Daniel S. Reich (1) (4) (7)

    1. Department of Neurology, Johns Hopkins University, 600 North Wolfe Street, Pathology 622A, Baltimore, MD, 21287, USA
    2. Department of Electrical and Computer Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA
    3. Radiology and Imaging Sciences, National Institutes of Health, Building 10, Clinical Center, 10 Center Drive, MSC 1074, Bethesda, MD, 20892-1074, USA
    4. Department of Radiology and Radiologic Science, Johns Hopkins University, 600 N Wolfe St, Baltimore, MD, 21287, USA
    5. Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
    6. Center for Neuroscience and Regenerative Medicine, The Henry M. Jackson Foundation for the Advancement of Military Medicine, 10 Center Dr MSC 1400, Building 10 Rm B1N264B, Bethesda, MD, 20892, USA
    7. Neuroimmunology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA
  • ISSN:1432-1459
文摘
Although diffusion tensor imaging (DTI) and the magnetization transfer ratio (MTR) have been extensively studied in multiple sclerosis (MS), it is still unclear if they are more effective biomarkers of disability than conventional MRI. MRI scans were performed on 117 participants with MS in addition to 26 healthy volunteers. Mean values were obtained for DTI indices and MTR for supratentorial brain and three white matter tracts of interest. DTI and MTR values were tested for correlations with measures of atrophy and lesion volume and were compared with these more conventional indices for prediction of disability. All DTI and MTR values correlated to an equivalent degree with lesion volume and cerebral volume fraction (CVF). Thalamic volumes correlated with all indices in the optic radiations and with mean and perpendicular diffusivity in the corpus callosum. Nested model regression analysis demonstrated that, compared with CVF, DTI indices in the optic radiations were more strongly correlated with Expanded Disability Status Scale and were also more strongly correlated than both CVF and lesion volume with low-contrast visual acuity. Abnormalities in DTI and MTR are equivalently linked with brain atrophy and inflammatory lesion burden, suggesting that for practical purposes they are markers of multiple aspects of MS pathology. Our findings that some DTI and MTR indices are more strongly linked with disability than conventional MRI measures justifies their potential use as targeted, functional system-specific clinical trial outcomes in MS.

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