From the Department of Neurology (S.S., E.C., N.P., C.C., A.B., T.G., S.C., C.A., G.K., J.M., W.A.S., R.M.B., J.M.G., D.S.G., A.J.G., E.W., M.R.W., S.S.Z, B.A.C., S.L.H., and R.G.H.), University of California, San Francisco Weill Institute for Neurosciences, University of California, San Francisco, California.
Institute of Radiology (S.S., C.A.), Department of Clinical Surgical Diagnostic and Pediatric Sciences.
AJNR Am J Neuroradiol. 2020 Dec;41(12):2219-2226. doi: 10.3174/ajnr.A6862. Epub 2020 Nov 5.
MR imaging is essential for MS diagnosis and management, yet it has limitations in assessing axonal damage and remyelination. Gadolinium-based contrast agents add value by pinpointing acute inflammation and blood-brain barrier leakage, but with drawbacks in safety and cost. Neurite orientation dispersion and density imaging (NODDI) assesses microstructural features of neurites contributing to diffusion imaging signals. This approach may resolve the components of MS pathology, overcoming conventional MR imaging limitations.
Twenty-one subjects with MS underwent serial enhanced MRIs (12.6 ± 9 months apart) including NODDI, whose key metrics are the neurite density and orientation dispersion index. Twenty-one age- and sex-matched healthy controls underwent unenhanced MR imaging with the same protocol. Fifty-eight gadolinium-enhancing and non-gadolinium-enhancing lesions were semiautomatically segmented at baseline and follow-up. Normal-appearing WM masks were generated by subtracting lesions and dirty-appearing WM from the whole WM.
The orientation dispersion index was higher in gadolinium-enhancing compared with non-gadolinium-enhancing lesions; logistic regression indicated discrimination, with an area under the curve of 0.73. At follow-up, in the 58 previously enhancing lesions, we identified 2 subgroups based on the neurite density index change across time: Type 1 lesions showed increased neurite density values, whereas type 2 lesions showed decreased values. Type 1 lesions showed greater reduction in size with time compared with type 2 lesions.
NODDI is a promising tool with the potential to detect acute MS inflammation. The observed heterogeneity among lesions may correspond to gradients in severity and clinical recovery after the acute phase.
磁共振成像(MRI)对于多发性硬化(MS)的诊断和管理至关重要,但在评估轴突损伤和髓鞘再生方面存在局限性。钆基对比剂通过精确定位急性炎症和血脑屏障渗漏来增加价值,但存在安全性和成本方面的缺点。神经丝取向分散和密度成像(NODDI)评估了对扩散成像信号有贡献的神经丝的微观结构特征。这种方法可能解决 MS 病理学的组成部分,克服传统 MRI 成像的局限性。
21 例 MS 患者接受了一系列增强 MRI(12.6±9 个月),包括 NODDI,其关键指标是神经丝密度和取向分散指数。21 名年龄和性别匹配的健康对照者接受了相同方案的未增强 MRI。在基线和随访时,通过半自动分割 58 个钆增强和非钆增强病变。通过从全脑白质中减去病变和不干净的白质来生成正常表现的白质掩模。
与非钆增强病变相比,钆增强病变的取向分散指数更高;逻辑回归表明具有区分能力,曲线下面积为 0.73。在随访中,在之前增强的 58 个病变中,我们根据神经丝密度指数随时间的变化将其分为 2 个亚组:第 1 组病变表现出神经丝密度值增加,而第 2 组病变则表现出降低的神经丝密度值。与第 2 组病变相比,第 1 组病变随时间缩小的幅度更大。
NODDI 是一种很有前途的工具,具有检测急性 MS 炎症的潜力。病变之间观察到的异质性可能与急性阶段后严重程度和临床恢复的梯度相对应。