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Investigation of morphometric variability of subthalamic nucleus red nucleus and substantia nigra in advanced Parkinsons disease patients using automatic segmentation and PCA-based analysis

机译:使用自动分割和基于PCA的分析研究晚期帕金森氏病患者的丘脑下核红核和黑质的形态变异性

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摘要

Subthalamic nucleus (STN) deep brain stimulation (DBS) is an effective surgical therapy to treat Parkinson’s disease (PD). Conventional methods employ standard atlas coordinates to target the STN, which, along with the adjacent red nucleus (RN) and substantia nigra (SN), is not well visible on conventional T1w MRIs. However, the positions and sizes of the nuclei may be more variable than the standard atlas, thus making the pre-surgical plans inaccurate. We investigated the morphometric variability of the STN, RN and SN by using label-fusion segmentation results from 3T high resolution T2w MRIs of 33 advanced PD patients. In addition to comparing the size and position measurements of the cohort to the Talairach atlas, principal component analysis (PCA) was performed to acquire more intuitive and detailed perspectives of the measured variability. Lastly, the potential correlation between the variability shown by PCA results and the clinical scores was explored.
机译:丘脑底核(STN)深部脑刺激(DBS)是治疗帕金森氏病(PD)的有效手术疗法。常规方法采用标准地图集坐标来定位STN,而STN与相邻的红核(RN)和黑质(SN)一起在常规T1w MRI上不易看到。但是,核的位置和大小可能比标准图谱更易变,因此使术前计划不准确。我们使用来自33例晚期PD患者的3T高分辨率T2w MRI的标签融合分割结果,研究了STN,RN和SN的形态计量变异性。除了将队列的大小和位置测量值与Talairach地图集进行比较之外,还进行了主成分分析(PCA)以获取更直观,更详细的测量变异性观点。最后,探讨了PCA结果显示的变异性与临床评分之间的潜在相关性。

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