PDF(Pubmed)
Abstract：
UNASSIGNED: The utility of brain magnetic resonance imaging (MRI) for predicting dementia is debated. We evaluated the added value of repeated brain MRI, including atrophy and cerebral small vessel disease markers, for dementia prediction. We conducted a landmark competing risk analysis in 1716 participants of the French population-based Three-City Study to predict the 5-year risk of dementia using repeated measures of 41 predictors till year 4 of follow-up. Brain MRI markers improved significantly the individual prediction of dementia after accounting for demographics, health measures, and repeated measures of cognition and functional dependency (area under the ROC curve [95% CI] improved from 0.80 [0.79 to 0.82] to 0.83 [0.81 to 0.84]). Nonetheless, accounting for the change over time through repeated MRIs had little impact on predictive abilities. These results highlight the importance of multimodal analysis to evaluate the added predictive abilities of repeated brain MRI for dementia and offer new insights into the predictive performances of various MRI markers.
UNASSIGNED: We evaluated whether repeated brain volumes and cSVD markers improve dementia prediction.The 5-year prediction of dementia is slightly improved when considering brain MRI markers.Measures of hippocampus volume are the main MRI predictors of dementia.Adjusted on cognition, repeated MRI has poor added value over single MRI for dementia prediction.We utilized a longitudinal analysis that considers error-and-missing-prone predictors, and competing death.
UNASSIGNED: We evaluated whether repeated brain volumes and cSVD markers improve dementia prediction.The 5-year prediction of dementia is slightly improved when considering brain MRI markers.Measures of hippocampus volume are the main MRI predictors of dementia.Adjusted on cognition, repeated MRI has poor added value over single MRI for dementia prediction.We utilized a longitudinal analysis that considers error-and-missing-prone predictors, and competing death.
摘要：
■脑磁共振成像（MRI）用于预测痴呆的实用性存在争议。我们评估了重复脑部MRI的附加值，包括萎缩和脑小血管疾病标志物，用于痴呆症预测。我们对法国基于人口的三城研究的1716名参与者进行了具有里程碑意义的竞争风险分析，以使用41个预测因子的重复测量来预测5年的痴呆症风险，直到随访的第4年。在考虑人口统计学后，脑MRI标志物显着改善了痴呆的个体预测，健康措施,和重复测量的认知和功能依赖性（ROC曲线下面积[95％CI]从0.80[0.79至0.82]提高到0.83[0.81至0.84]）。尽管如此，通过重复MRI计算随时间的变化对预测能力影响不大.这些结果强调了多模态分析的重要性，以评估重复脑MRI对痴呆症的额外预测能力，并为各种MRI标记的预测性能提供新的见解。
■我们评估了重复的脑容量和cSVD标记是否可以改善痴呆预测。当考虑脑MRI标记时，痴呆的5年预测略有改善。海马体积的测量是痴呆的主要MRI预测因子。根据认知调整，重复MRI对痴呆预测的附加价值低于单一MRI。我们利用了纵向分析，考虑了容易出错和缺失的预测因素，竞争死亡。
■我们评估了重复的脑容量和cSVD标记是否可以改善痴呆预测。当考虑脑MRI标记时，痴呆的5年预测略有改善。海马体积的测量是痴呆的主要MRI预测因子。根据认知调整，重复MRI对痴呆预测的附加价值低于单一MRI。我们利用了纵向分析，考虑了容易出错和缺失的预测因素，竞争死亡。
