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Automated voxel- and region-based analysis of gray matter and cerebrospinal fluid space in primary dementia disorders.
Brain Research ( IF 2.9 ) Pub Date : 2020-03-22 , DOI: 10.1016/j.brainres.2020.146800
Karl Egger 1 , Alexander Rau 1 , Shan Yang 1 , Stefan Klöppel 2 , Ahmed Abdulkadir 2 , Elias Kellner 3 , Lars Frings 4 , Sabine Hellwig 5 , Horst Urbach 1 ,
Affiliation  

PURPOSE Previous studies showed voxel-based volumetry as a helpful tool in detecting pathologic brain atrophy. Aim of this study was to investigate whether the inclusion of CSF volume improves the imaging based diagnostic accuracy using combined automated voxel- and region-based volumetry. METHODS In total, 120 individuals (30 healthy elderly, 30 frontotemporal dementia (FTD), 30 Alzheimer's dementia (AD) and 30 Lewy body dementia (LBD) patients) were analyzed with voxel-based morphometry and compared to a reference group of 360 healthy elderly controls. Abnormal GM and CSF volumes were visualized via z-scores. Volumetric results were finally evaluated by ROC analyses. RESULTS Based on the volume of abnormal GM and CSF voxels high accuracy was shown in separating dementia from normal ageing (AUC 0.93 and 0.91, respectively) within 5 different brain regions per hemisphere (frontal, medial temporal, temporal, parietal, occipital). Accuracy for separating FTD and AD was higher based on CSF volume (FTD: AUC 0.80 vs. 0.75 in frontal regions; AD: AUC 0.78 vs. 0.68 in parietal regions based on CSF and GM respectively). CONCLUSIONS Differentiation of dementia patients from normal ageing persons shows high accuracy when based on automatic volumetry alone. Evaluating volumes of abnormal CSF performed better than volumes of abnormal GM, especially in AD and FTD patients.

中文翻译:

原发性痴呆症中灰质和脑脊液空间的基于体素和区域的自动分析。

目的 先前的研究表明,基于体素的体积测量是检测病理性脑萎缩的有用工具。本研究的目的是使用组合的基于体素和区域的自动体积测量来研究包含 CSF 体积是否提高了基于成像的诊断准确性。方法 总共有 120 名个体(30 名健康老年人、30 名额颞叶痴呆 (FTD)、30 名阿尔茨海默病 (AD) 和 30 名路易体痴呆 (LBD) 患者)使用基于体素的形态计量学进行分析,并与 360 名健康人的参照组进行比较。老年人控制。异常的 GM 和 CSF 体积通过 z 分数可视化。体积结果最终通过 ROC 分析进行评估。结果 基于异常 GM 和 CSF 体素的体积,在区分痴呆与正常衰老方面显示出高精度(AUC 0.93 和 0.91,分别)在每个半球 5 个不同的大脑区域内(额叶、内侧颞叶、颞叶、顶叶、枕叶)。基于 CSF 体积,分离 FTD 和 AD 的准确度更高(FTD:额叶区域的 AUC 0.80 与 0.75;AD:分别基于 CSF 和 GM 的顶叶区域的 AUC 0.78 与 0.68)。结论单独基于自动体积测量时,痴呆患者与正常老年人的区分显示出很高的准确性。评估异常 CSF 的体积比异常 GM 的体积表现更好,尤其是在 AD 和 FTD 患者中。结论单独基于自动体积测量时,痴呆患者与正常老年人的区分显示出很高的准确性。评估异常 CSF 的体积比异常 GM 的体积表现更好,尤其是在 AD 和 FTD 患者中。结论单独基于自动体积测量时,痴呆患者与正常老年人的区分显示出很高的准确性。评估异常 CSF 的体积比异常 GM 的体积表现更好,尤其是在 AD 和 FTD 患者中。
更新日期:2020-04-20
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