Assessing brain injury topographically using MR neurite orientation dispersion and density imaging in multiple sclerosis

被引:3
|
作者
Chen, Amalie [1 ,2 ]
Wen, Sijin [3 ]
Lakhani, Dhairya A. [1 ,4 ]
Gao, Si [3 ]
Yoon, Keejin [1 ,5 ]
Smith, Seth A. [6 ]
Dortch, Richard [6 ,7 ]
Xu, Junzhong [6 ]
Bagnato, Francesca [1 ,8 ]
机构
[1] Vanderbilt Univ Med Ctr VUMC, Dept Neurol, Neuroimmunol Div, Neuroimaging Unit, Nashville, TN USA
[2] Massachusetts Gen Hosp, Brigham & Womens Hosp, Neurol Residency, Boston, MA 02114 USA
[3] West Virginia Univ, Dept Biostat, Morgantown, WV 26506 USA
[4] West Virginia Univ, Dept Radiol, Morgantown, WV 26506 USA
[5] Vanderbilt Univ, Coll Arts & Sci, 221 Kirkland Hall, Nashville, TN 37235 USA
[6] Vanderbilt Univ, Inst Imaging Sci, Dept Radiol & Radiol Sci, VUMC, 221 Kirkland Hall, Nashville, TN 37235 USA
[7] Barrow Neurol Inst, Div Neuroimaging Res, Phoenix, AZ 85013 USA
[8] TN Valley Healthcare Syst TVHS Nashville, VA Hosp, Dept Neurol, Nashville, TN USA
关键词
axons; MRI; multiple sclerosis; neurodegeneration; NODDI; SPINAL-CORD; MECHANISMS; DIAGNOSIS; DISEASE; ATROPHY; NODDI;
D O I
10.1111/jon.12876
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background and Purpose Axonal injury is a key player of disability in persons with multiple sclerosis (pwMS). Yet, detecting and measuring it in vivo is challenging. The neurite orientation dispersion and density imaging (NODDI) proposes a novel framework for probing axonal integrity in vivo. NODDI at 3.0 Tesla was used to quantify tissue damage in pwMS and its relationship with disease progression. Methods Eighteen pwMS (4 clinically isolated syndrome, 11 relapsing remitting, and 3 secondary progressive MS) and nine age- and sex-matched healthy controls underwent a brain MRI, inclusive of clinical sequences and a multi-shell diffusion acquisition. Parametric maps of axial diffusivity (AD), neurite density index (ndi), apparent isotropic volume fraction (ivf), and orientation dispersion index (odi) were fitted. Anatomically matched regions of interest were used to quantify AD and NODDI-derived metrics and to assess the relations between these measures and those of disease progression. Results AD, ndi, ivf, and odi significantly differed between chronic black holes (cBHs) and T2-lesions, and between the latter and normal appearing white matter (NAWM). All metrics except ivf significantly differed between NAWM located next to a cBH and that situated contra-laterally. Only NAWM odi was significantly associated with T2-lesion volume, the timed 25-foot walk test and disease duration. Conclusions NODDI is sensitive to tissue injury but its relationship with clinical progression remains limited.
引用
收藏
页码:1003 / 1013
页数:11
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