College of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi Province, China.
Department of Radiology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China.; Shanxi Key Laboratory of Intelligent Imaging and Nanomedicine, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China.; Intelligent Imaging Big Data and Functional Nano-imaging Engineering Research Center of Shanxi Province, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China.
Acad Radiol. 2023 Oct;30(10):2225-2233. doi: 10.1016/j.acra.2022.12.003. Epub 2023 Jan 22.
To investigate whether diffusion kurtosis imaging (DKI) can distinguish mild cognitive impairment (MCI) from normal controls (NC) in aluminum (Al)-exposed workers, and to explore the association of DKI with cognitive performance and plasma Al concentration.
28 patients with MCI and 25 NC at Al factory were enrolled in this study. All subjects underwent conventional MRI and DKI scans. The mean kurtosis (MK), axial kurtosis (Ka), radial kurtosis (Kr), mean diffusivity (MD) and fractional anisotropy (FA) parameters of the hippocampus, substantia nigra, red nucleus, thalamus, anterior cingulate gyrus, genu and crus of the corpus callosum, frontal, parietal and temporal lobe were measured. To compare the parameters between the two groups, the Mann-Whitney rank sum test was used. The correlation of parameter values with cognitive performance and plasma Al concentration was analyzed using Spearman correlation analysis. The receiver operating characteristic (ROC) curve and the Z-scores were used to evaluate the diagnostic efficacy of each parameter.
Compared with the NC group, the MK, Ka, Kr, and FA values in the MCI group were significantly decreased, and the MD values were significantly increased (p<0.05). For the diagnosis of MCI, MK in the right hippocampus showed the largest AUC (0.924). The MK, Kr, MD and FA values were correlated with the Montreal Cognitive Assessment (MoCA) scores, and MK values in the right hippocampus showed the greatest correlation with MoCA scores (r=0.744, p <0.001). Plasma Al in the MCI group was higher than that in the NC group, although there was no significant difference in plasma Al between the two groups (p=0.057). There was no correlation between DKI parameters and plasma Al.
The DKI method might be a sensitive imaging biomarker to discriminate MCI from NC, and could preliminarily assess the severity of cognitive impairment in Al-exposed workers. MK in the right hippocampus appeared to be the best independent predictor. The mechanism of cognitive decline is an important content of aluminum exposure research. This study indicates that the DKI technique could provide valuable information for the diagnosis of MCI.
研究磁共振扩散峰度成像(DKI)能否区分铝暴露工人中的轻度认知障碍(MCI)与正常对照(NC),并探讨DKI与认知表现和血浆铝浓度的相关性。
纳入 28 例 MCI 患者和 25 例铝厂 NC 患者,所有患者均行常规 MRI 和 DKI 扫描。测量海马、黑质、红核、丘脑、扣带回前部、胼胝体膝部和体部、额叶、顶叶和颞叶的平均峰度(MK)、轴向峰度(Ka)、径向峰度(Kr)、平均弥散度(MD)和各向异性分数(FA)等参数。采用 Mann-Whitney 秩和检验比较两组间参数差异,采用 Spearman 相关分析分析参数值与认知表现和血浆铝浓度的相关性。采用受试者工作特征(ROC)曲线和 Z 评分评估各参数的诊断效能。
与 NC 组相比,MCI 组的 MK、Ka、Kr 和 FA 值显著降低,MD 值显著升高(p<0.05)。对于 MCI 的诊断,右海马 MK 的 AUC 值最大(0.924)。MK、Kr、MD 和 FA 值与蒙特利尔认知评估(MoCA)评分相关,右海马的 MK 值与 MoCA 评分相关性最大(r=0.744,p<0.001)。MCI 组的血浆铝浓度高于 NC 组,尽管两组间血浆铝浓度差异无统计学意义(p=0.057)。DKI 参数与血浆铝浓度无相关性。
DKI 方法可能是一种敏感的影像学生物标志物,可区分 MCI 与 NC,初步评估铝暴露工人认知障碍的严重程度。右海马的 MK 值似乎是最佳的独立预测指标。认知能力下降的机制是铝暴露研究的重要内容。本研究表明,DKI 技术可提供 MCI 诊断的有价值信息。