Fu Junyan, Tang Ye, Pan Lei, Lv Kun, Cao Xin, Xu Siting, Geng Daoying, Yu Huan, Zhang Jun
Department of Radiology, Huashan Hospital, Fudan University, No.12 Wulumuqi Road (Middle), Shanghai, 200040, China.
Department of Neurology, Huashan Hospital, Fudan University, No.12 Wulumuqi Road (Middle), Shanghai, 200040, China.
Brain Imaging Behav. 2025 Feb;19(1):72-81. doi: 10.1007/s11682-024-00926-2. Epub 2024 Oct 30.
To explore the neuromelanin depigmentation of locus coeruleus (LC) and substantia nigra pars compacta (SNc) in the isolated rapid eye movement sleep behavior disorder (iRBD) using neuromelanin-sensitive MRI (NM-MRI), and to evaluate its utility for iRBD diagnosis. A total of 25 iRBD patients and 25 healthy controls were recruited and underwent NM-MRI. The contrast-to-noise ratio (CNR) of SNc and LC, and the volume of SNc were compared between groups and evaluated visually. The power of NM measures in discriminating iRBD patients from healthy controls were performed with receiver operating characteristic (ROC) curves and the area under curve (AUC) was calculated. The CNR of SNc and LC, the volume of SNc, the SNc/midbrain volume ratio as well as the visual scores of SNc and LC in iRBD patients were significantly decreased than those in controls (all P < 0.05). For quantitative analysis, the LC CNR acquired the highest accuracy in predicting iRBD (AUC 0.95, sensitivity 80%, specificity 100%), followed by SNc volume (AUC 0.93, sensitivity 88%, specificity 96%) and SNc CNR (AUC 0.74, sensitivity 92%, specificity 44%). For visual analysis, the accuracy of the visual score for SNc and LC were 78% (sensitivity 68%, specificity 88%) and 86% (sensitivity 88%, specificity 84%), respectively. The NM in the SNc and LC regions were significantly reduced in iRBD patients. NM measures showed good capability in discriminating iRBD from controls, suggesting that NM-MRI may be a valuable screening tool for iRBD.
利用对神经黑色素敏感的磁共振成像(NM-MRI)探索孤立性快速眼动睡眠行为障碍(iRBD)中蓝斑(LC)和黑质致密部(SNc)的神经黑色素脱失情况,并评估其对iRBD诊断的效用。共招募了25例iRBD患者和25名健康对照者,并对其进行了NM-MRI检查。比较了两组之间SNc和LC的对比噪声比(CNR)以及SNc的体积,并进行了视觉评估。采用受试者工作特征(ROC)曲线评估NM测量在区分iRBD患者和健康对照者方面的效能,并计算曲线下面积(AUC)。iRBD患者的SNc和LC的CNR、SNc的体积、SNc/中脑体积比以及SNc和LC的视觉评分均显著低于对照组(所有P<0.05)。对于定量分析,LC的CNR在预测iRBD方面具有最高的准确性(AUC 0.95,敏感性80%,特异性100%),其次是SNc体积(AUC 0.93,敏感性88%,特异性96%)和SNc的CNR(AUC 0.74,敏感性92%,特异性44%)。对于视觉分析,SNc和LC的视觉评分准确性分别为78%(敏感性68%,特异性88%)和86%(敏感性88%,特异性84%)。iRBD患者SNc和LC区域的神经黑色素显著减少。NM测量在区分iRBD和对照组方面显示出良好的能力,表明NM-MRI可能是一种有价值的iRBD筛查工具。