2019年9月12日,2019年9月12日(健康日期) - 扩散张量图像分割技术(DSEG),其特征在于在线研究,鉴定了脑小血管疾病(SVD)的损伤,可以预测痴呆症9月12日中风

Owen A. Williams, Ph.D., from St. George’s University of London, and colleagues examined the extent to which DSEG predicts cognitive decline and conversion to dementia among 99 patients with SVD aged 43 to 89 years who underwent annual magnetic resonance imaging for three years and cognitive assessment for five years. DSEG-θ was used as a measure of SVD severity. DSEG measures and vascular risk factors related to increased dementia risk were identified.

研究人员发现,DSEG-θ随着执行功能和全球认知的下降而显着相关。总体而言,18.2%的患者转化为痴呆症。通过基线DSEG-θ预测痴呆症,平衡分类率为75.95%,接收器的接收器的面积为0.839。基线DSEG-θ,DSEG-θ的变化,年龄,性别和前进智力等等提供了最佳的分类模型(平衡分类率,79.65%;接收器下的面积工作特征曲线,0.903)。“这些研究结果表明,DSEG可以用作监测患者SVD进展的临床工具,并预测发展痴呆症的风险,”作者写道。

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