Department of Radiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.
J Magn Reson Imaging. 2018 Aug;48(2):423-430. doi: 10.1002/jmri.25930. Epub 2017 Dec 18.
Previous studies have indicated that neurite orientation dispersion and density imaging (NODDI) could be used as a biomarker for detecting microstructural changes of brain.
To quantitatively evaluate the changes in basal ganglia (BG) and thalamus in Wilson's disease (WD) by NODDI and assess the correlation between parameters and disease severity.
Prospective case-control study.
In total, 24 WD patients and 25 age- and sex-matched normal controls were involved in this study.
FIELD STRENGTH/SEQUENCE: EPI diffusion-weighted MR images (b-values = 0, 1000, and 2000 with 30 diffusion gradient directions) were acquired on a 3T scanner.
Diffusion data were analyzed using voxel-based analysis. NODDI indices including intracellular volume fraction (Vic), orientation dispersion index (ODI), and isotropic volume fraction (Viso) were estimated from the BG and thalamus. The disease severity was assessed by two experienced neurologists based on the Global Assessment Scale (GAS). The relative importance of NODDI indices in diagnosing WD and predictive accuracy were also analyzed.
The Shapiro-Wilk test, Student's t-test, χ2 test, Mann-Whitney-Wilcoxon test, Spearman rank correlation coefficient analysis and random-forest analysis were used for statistical analyses.
The Vic and ODI in the BG and thalamus were significantly lower in WD patients than normal controls, while the Viso in the BG and thalamus were significantly higher (P < 0.01). The Vic in the putamen and ODI in the globus pallidus were negatively correlated with clinical severity (rvic = -0.727, P < 0.001; rodi = -0.705, P < 0.001). The Vic in the putamen was the most valuable predictor for diagnosing WD and the prediction accuracy of NODDI was 95.92%.
NODDI can effectively evaluate the changes of microstructure and metabolism during copper deposition in WD, and thus, it is likely to be useful in detecting the changes in the brain of this disease and assessing its progression.
2 Technical Efficacy Stage 2 J. MAGN. RESON. IMAGING 2018;48:423-430.
先前的研究表明,神经突方向分散和密度成像(NODDI)可以作为检测脑微结构变化的生物标志物。
通过 NODDI 定量评估肝豆状核变性(WD)患者基底节(BG)和丘脑的变化,并评估参数与疾病严重程度之间的相关性。
前瞻性病例对照研究。
本研究共纳入 24 例 WD 患者和 25 例年龄和性别匹配的正常对照。
磁场强度/序列:在 3T 扫描仪上采集 EPI 扩散加权 MR 图像(b 值=0、1000 和 2000,有 30 个扩散梯度方向)。
基于体素的分析方法对扩散数据进行分析。从 BG 和丘脑估计 NODDI 指数,包括细胞内容积分数(Vic)、方向分散指数(ODI)和各向同性容积分数(Viso)。两位经验丰富的神经科医生根据全球评估量表(GAS)评估疾病严重程度。还分析了 NODDI 指数在诊断 WD 和预测准确性方面的相对重要性。
使用 Shapiro-Wilk 检验、学生 t 检验、卡方检验、Mann-Whitney-Wilcoxon 检验、Spearman 秩相关系数分析和随机森林分析进行统计分析。
WD 患者的 BG 和丘脑的 Vic 和 ODI 明显低于正常对照组,而 BG 和丘脑的 Viso 明显升高(P<0.01)。壳核的 Vic 和苍白球的 ODI 与临床严重程度呈负相关(rvic=-0.727,P<0.001;rodui=-0.705,P<0.001)。壳核的 Vic 是诊断 WD 最有价值的预测因子,NODDI 的预测准确率为 95.92%。
NODDI 可有效评估 WD 患者铜沉积过程中微观结构和代谢的变化,因此可能有助于检测该病患者脑内的变化,并评估其进展。
2 技术功效 2 级。J. MAGN. RESON. IMAGING 2018;48:423-430。