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首页> 外文期刊>BMJ: British medical journal >Usefulness of data from magnetic resonance imaging to improve prediction of dementia: population based cohort study
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Usefulness of data from magnetic resonance imaging to improve prediction of dementia: population based cohort study

机译:来自磁共振成像的数据的有用性来改善痴呆的预测:基于人群的队列研究

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摘要

STUDY QUESTION Do data from magnetic resonance imaging (MRI) improve the prediction of dementia compared with conventional risk factors in a population based setting? SUMMARY ANSWER There were no significant differences in the discrimination performance of the conventional risk model when compared with models incorporating MRI data, though some improvements in accuracy of classification were observed. WHAT iS KNOWN AND WHATTHIS PAPER ADDS Dementia risk prediction has conventionally been based on sociodemographic, neuropsychological, health, lifestyle, physical function, and genetic variables. Addition of MRI variables, including white matter lesion, brain, and hippocampal volumes, to a conventional risk factor model did not result in significant improvement in discrimination for incident dementia. Additional analyses showed improvement in some prediction markers, such as reclassification and prognostic separation, that could be useful in some settings.
机译:研究问题来自磁共振成像(MRI)与基于人群的常规危险因素相比,可以改善痴呆症的预测吗? 总结答案与包含MRI数据的模型相比,传统风险模型的歧视性能没有显着差异,尽管观察到分类准确性的一些提高。 众所周知的论文增加了痴呆症风险预测通常是基于社会人口统计学,神经心理学,健康,生活方式,身体机能和遗传变量的基础。 将MRI变量(包括白质病变,大脑和海马体积)添加到常规危险因素模型中并没有显着改善入射痴呆的歧视。 其他分析表明,某些预测标记(例如重新分类和预后分离)的改善可能在某些情况下很有用。

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