Application of Nobel QSM technique in MRI for diagnosis of Alzheimer's disease: What is the relationship between iron deposits in brain nuclei with age and severity of disorders?

Farzaneh Nikparast, A. Shoeibi, S. Niroumand, Hossein Akbari-Lalimi, H. Zare
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Abstract

Background. Iron deposits impair neurons and cause cognitive disorders through different pathways. Today, with the help of quantitative susceptibility mapping (QSM), iron accumulations in different brain areas can be evaluated and measured.This research aims to identify the changes of iron deposits in the brain nuclei in different stages of cognitive disorders using the QSM technique and introduces biomarkers for the early diagnosis of these disorders. Methods. The data of thirty-five participants with normal cognitive conditions and forty six patients with cognitive disorders, classified into four different groups based on the severity of the disorder, were downloaded from the ADNI database. After determining the regions (ROIs) with the FSL automatic segmentation tool, the mean QSM values of twelve brain nuclei were determined with the help of Slicer software, and SPSS software was used for statistical analysis. Results. There was an inverse correlation in the left putamen nucleus of LMCI group (P=0.041). Direct correlation between age variable and QSM values of the left putamen nucleus (P=0.000078) and right putamen nucleus (P=0.000017) of the control group were reported. Conclusion. As the severity of disorders increases in the LMCI group, the number of paramagnetic deposits, such as iron, in the left putamen nucleus increases. Therefore, the QSM values of the left putamen nucleus can be used as an indicator of the severity of the disorder in the advanced stages of cognitive disorders. Practical Implications. Iron deposits cause damage to neurons and cause cognitive disorders through various pathways. Today, with the help of the quantitative susceptibility mapping technique, the numeral of iron accumulations in different brain areas can be evaluated and measured. This research aims to identify the changes of iron deposits in the brain nuclei in different stages of cognitive disorders by using the Quantitative susceptibility mapping (QSM) technique to introduce biomarkers for early diagnosis of these disorders.
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诺贝尔QSM技术在MRI诊断阿尔茨海默病中的应用:脑核铁沉积与年龄和疾病严重程度的关系是什么?
背景。铁沉积损害神经元并通过不同途径引起认知障碍。今天,在定量易感性图谱(QSM)的帮助下,可以评估和测量不同脑区的铁积累。本研究旨在利用QSM技术鉴定认知障碍不同阶段脑核铁沉积的变化,并引入生物标志物用于这些疾病的早期诊断。方法。从ADNI数据库中下载了35名正常认知状况的参与者和46名认知障碍患者的数据,根据障碍的严重程度分为四组。使用FSL自动分割工具确定区域(roi)后,利用Slicer软件确定12个脑核的平均QSM值,并使用SPSS软件进行统计分析。结果。LMCI组左壳核核呈负相关(P=0.041)。年龄变量与对照组左壳核QSM值(P=0.000078)、右壳核QSM值(P=0.000017)直接相关。结论。随着LMCI组疾病严重程度的增加,左壳核中的顺磁性沉积物(如铁)的数量增加。因此,左壳核QSM值可作为认知障碍晚期疾病严重程度的一个指标。实际意义。铁沉积通过多种途径引起神经元损伤和认知障碍。今天,在定量易感性图谱技术的帮助下,可以评估和测量不同脑区的铁积累数量。本研究旨在通过定量易感性图谱(Quantitative susceptibility mapping, QSM)技术,确定认知障碍不同阶段脑核铁沉积的变化,为认知障碍的早期诊断引入生物标志物。
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