Quantitative susceptibility mapping in amyotrophic lateral sclerosis: automatic quantification of the magnetic susceptibility in the subcortical nuclei.

Sadegh Ghaderi, Farzad Fatehi, Sanjay Kalra, Sana Mohammadi, Seyed Amir Hossein Batouli
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Abstract

Objective: Previous studies have suggested a link between dysregulation of cortical iron levels and neuronal loss in amyotrophic lateral sclerosis (ALS) patients. However, few studies have reported differences in quantitative susceptibility mapping (QSM) values in subcortical nuclei between patients with ALS and healthy controls (HCs). Methods: MRI was performed using a 3 Tesla Prisma scanner (64-channel head coil), including 3D T1-MPRAGE and multi-echo 3D GRE for QSM reconstruction. Automated QSM segmentation was used to measure susceptibility values in the subcortical nuclei, which were compared between the groups. Correlations with clinical scales were analyzed. Group comparisons were performed using independent t-tests, with p < 0.05 considered significant. Correlations were assessed using Pearson's correlation, with p < 0.05 considered significant. Cohen's d was reported to compare the standardized mean difference (SMD) of QSM. Results: Twelve patients with limb-onset ALS (mean age 48.7 years, 75% male) and 13 age-, sex-, and handedness-matched HCs (mean age 44.6 years, 69% male) were included. Compared to HCs, ALS patients demonstrated significantly lower susceptibility in the left caudate nucleus (CN) (SMD = -0.845), right CN (SMD = -0.851), whole CN (SMD = -1.016), and left subthalamic nucleus (STN) (SMD = -1.000). Susceptibility in the left putamen (SMD = -0.857), left thalamus (SMD = -1.081), and whole thalamus (SMD = -0.968) was significantly higher in the patients. The susceptibility of the substantia nigra (SN), CN, and pulvinar was positively correlated with disease duration. Conclusions: QSM detects abnormal iron accumulation patterns in the subcortical gray matter of ALS patients, which correlates with disease characteristics, supporting its potential as a neuroimaging biomarker.

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肌萎缩性脊髓侧索硬化症的定量磁感图:皮层下核磁感的自动定量。
研究目的以往的研究表明,肌萎缩侧索硬化症(ALS)患者皮层铁含量失调与神经元缺失之间存在联系。然而,很少有研究报告 ALS 患者与健康对照组(HCs)皮层下核的定量易感性图谱(QSM)值存在差异。研究方法使用 3 特斯拉 Prisma 扫描仪(64 通道头部线圈)进行磁共振成像,包括用于 QSM 重建的三维 T1-MPRAGE 和多回波三维 GRE。自动 QSM 分段用于测量皮层下核团的易感度值,并在各组之间进行比较。分析了与临床量表的相关性。组间比较采用独立t检验,用p p d来比较QSM的标准化平均差(SMD)。结果共纳入了 12 名肢体发病的 ALS 患者(平均年龄 48.7 岁,75% 为男性)和 13 名年龄、性别和手性匹配的 HCs 患者(平均年龄 44.6 岁,69% 为男性)。与 HC 相比,ALS 患者左侧尾状核(CN)(SMD = -0.845)、右侧 CN(SMD = -0.851)、整个 CN(SMD = -1.016)和左侧丘脑下核(STN)(SMD = -1.000)的易感性显著降低。患者左侧丘脑(SMD = -0.857)、左侧丘脑(SMD = -1.081)和整个丘脑(SMD = -0.968)的易感性显著较高。黑质(SN)、CN和丘脑的易感性与病程呈正相关。结论:QSMQSM 可检测到 ALS 患者皮层下灰质中异常的铁积累模式,这与疾病特征相关,支持其作为神经影像生物标记物的潜力。
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