Application and evaluation of NODDI in the cervical spinal cord of multiple sclerosis patients.

Application and evaluation of NODDI in the cervical spinal cord of multiple sclerosis patients.
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DOI:
10.1016/j.nicl.2017.05.010
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发表时间:
2017
期刊:
NeuroImage. Clinical
影响因子:
--
通讯作者:
Smith SA
Smith SA
中科院分区:
其他
文献类型:
--
作者:
By S;Xu J;Box BA;Bagnato FR;Smith SA

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鉴于轴突病理对残疾和预后的显著影响,需要开发对多发性硬化(MS)中轴突损伤敏感的成像方法。先进的多室扩散模型提供了对白色物质微观结构敏感的新型指数。一个这样的模型,神经突取向分散和密度成像(NODDI),是敏感的神经突形态,提供轴突的表观体积分数(VIN),各向同性水(viso)和纤维的分散围绕中心轴(取向分散指数,ODI)的指数。NODDI对脊髓病理学的敏感性尚待研究。在这里,我们调查的可行性和实用性NODDI在MS患者的颈脊髓。NODDI应用于颈脊髓在一个队列中的8名对照和6 MS患者。进行统计分析以测试NODDI衍生指数对MS病理学(病变和正常出现的白色物质NAWM)的敏感性。并进行扩散峰度成像(DKI)和扩散张量成像(DTI)分析,与NODDI进行比较。在病变部位观察到NODDI衍生的vin降低(p < 0.01),而在整个白色物质中观察到ODI的总体增加(p < 0.001)。MS患者中DKI衍生的平均峰度(MK)和径向峰度(RK)以及DTI衍生的各向异性分数(FA)和径向扩散率(RD)均存在显著差异(p < 0.02),但NODDI在所有MS患者中NAWM和病变之间提供了更高的对比度。NODDI提供了DKI或DTI无法提供的独特对比度,从而能够改善MS中脊髓的表征。NODDI在3T下应用于MS患者体内的人类脊髓。与DTI和DKI不同,NODDI可以提供更特异于神经突形态的指标。NODDI衍生的VIN和ODI对MS中的已知病理敏感。NODDI显示病变与白色物质之间的对比度高于DTI和DKI。
There is a need to develop imaging methods sensitive to axonal injury in multiple sclerosis (MS), given the prominent impact of axonal pathology on disability and outcome. Advanced multi-compartmental diffusion models offer novel indices sensitive to white matter microstructure. One such model, neurite orientation dispersion and density imaging (NODDI), is sensitive to neurite morphology, providing indices of apparent volume fractions of axons (vin), isotropic water (viso) and the dispersion of fibers about a central axis (orientation dispersion index, ODI). NODDI has yet to be studied for its sensitivity to spinal cord pathology. Here, we investigate the feasibility and utility of NODDI in the cervical spinal cord of MS patients. NODDI was applied in the cervical spinal cord in a cohort of 8 controls and 6 MS patients. Statistical analyses were performed to test the sensitivity of NODDI-derived indices to pathology in MS (both lesion and normal appearing white matter NAWM). Diffusion kurtosis imaging (DKI) and diffusion tensor imaging (DTI) analysis were also performed to compare with NODDI. A decrease in NODDI-derived vin was observed at the site of the lesion (p < 0.01), whereas a global increase in ODI was seen throughout white matter (p < 0.001). DKI-derived mean kurtosis (MK) and radial kurtosis (RK) and DTI-derived fractional anisotropy (FA) and radial diffusivity (RD) were all significantly different in MS patients (p < 0.02), however NODDI provided higher contrast between NAWM and lesion in all MS patients. NODDI provides unique contrast that is not available with DKI or DTI, enabling improved characterization of the spinal cord in MS. NODDI was applied to the human spinal cord in vivo in MS patients at 3T. Unlike DTI and DKI, NODDI can provide metrics more specific to neurite morphology. NODDI-derived vin and ODI are sensitive to known pathology in MS. NODDI shows higher contrast between lesions and white matter than DTI and DKI.