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Individual Subject Classification of Mixed Dementia from Pure Subcortical Vascular Dementia Based on Subcortical Shape Analysis

机译:基于皮层下形状分析的纯皮层下血管性痴呆混合性痴呆的个体分类

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摘要

Subcortical vascular dementia (SVaD), one of common causes of dementia, has concomitant Alzheimer's disease (AD) pathology in over 30%, termed “mixed dementia”. Identifying mixed dementia from SVaD is important because potential amyloid-targeted therapies may be effective for treatment in mixed dementia. The purpose of this study was to discriminate mixed dementia from pure SVaD using magnetic resonance imaging (MRI). We measured brain amyloid deposition using the 11C-Pittsburgh compound B positron emission tomography (PiB-PET) in 68 patients with SVaD. A PiB retention ratio greater than 1.5 was considered PiB(+). Hippocampal and amygdalar shape were used in the incremental learning method to discriminate mixed dementia from pure SVaD because these structures are known to be prominently involved by AD pathologies. Among 68 patients, 23 (33.8%) patients were positive for PiB binding. With use of hippocampal shape analysis alone, PiB(+) SVaD could be discriminated from PiB(-) SVaD with 77.9% accuracy (95.7% sensitivity and 68.9% specificity). With use of amygdalar shape, the discrimination accuracy was 75.0% (87.0% sensitivity and 68.9% specificity). When hippocampal and amygdalar shape were analyzed together, accuracy increased to 82.4% (95.7% sensitivity and 75.6% specificity). An incremental learning method using hippocampal and amygdalar shape distinguishes mixed dementia from pure SVaD. Furthermore, our results suggest that amyloid pathology and vascular pathology have different effects on the shape of the hippocampus and amygdala.
机译:皮层下血管性痴呆(SVaD)是痴呆的常见原因之一,其伴随的阿尔茨海默氏病(AD)病理占30%以上,称为“混合性痴呆”。从SVaD鉴别混合性痴呆很重要,因为潜在的针对淀粉样蛋白的疗法可能对混合性痴呆有效。这项研究的目的是使用磁共振成像(MRI)来将混合性痴呆症与纯SVaD区别开来。我们使用11C-匹兹堡化合物B正电子发射断层扫描(PiB-PET)在68例SVaD患者中测量了大脑淀粉样蛋白沉积。 PiB保留率大于1.5被认为是PiB(+)。在增量学习方法中,将海马体和杏仁体形状用于区分混合性痴呆症与纯SVaD,因为已知这些结构与AD病理学密切相关。在68位患者中,有23位(33.8%)患者的PiB结合阳性。仅使用海马形状分析,就可以将PiB(+)SVaD与PiB(-)SVaD区别开来,准确度为77.9%(灵敏度为95.7%,特异性为68.9%)。使用杏仁核形状时,判别精度为75.0%(灵敏度为87.0%,特异性为68.9%)。一起分析海马和杏仁核的形状时,准确性提高到82.4%(灵敏度为95.7%,特异性为75.6%)。使用海马和杏仁核形状的增量学习方法将混合性痴呆与纯SVaD区别开来。此外,我们的结果表明淀粉样蛋白病理学和血管病理学对海马体和杏仁核的形状有不同的影响。

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