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Baseline MRI Predictors of Conversion from MCI to Probable AD in the ADNI Cohort

机译:在ADNI队列中从MCI转换为可能的AD的基线MRI预测因子

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The Alzheimer's Disease Neuroimaging Initiative (ADNI) is a multi-center study assessing neuroimaging in diagnosis and longitudinal monitoring. Amnestic Mild Cognitive Impairment (MCI) often represents a prodromal form of dementia, conferring a 10-15% annual risk of converting to probable AD. We analyzed baseline 1.5T MRI scans in 693 participants from the ADNI cohort divided into four groups by baseline diagnosis and one year MCI to probable AD conversion status to identify neuroimaging phenotypes associated with MCI and AD and potential predictive markers of imminent conversion. MP-RAGE scans were analyzed using publicly available voxel-based morphometry (VBM) and automated parcellation methods. Measures included global and hippocampal grey matter (GM) density, hippocampal and amygdalar volumes, and cortical thickness values from entorhinal cortex and other temporal and parietal lobe regions. The overall pattern of structural MRI changes in MCI (n=339) and AD (n=148) compared to healthy controls (HC, n=206) was similar to prior findings in smaller samples. MCI-Converters (n=62) demonstrated a very similar pattern of atrophic changes to the AD group up to a year before meeting clinical criteria for AD. Finally, a comparison of effect sizes for contrasts between the MCI-Converters and MCI-Stable (n=277) groups on MRI metrics indicated that degree of neurodegeneration of medial temporal structures was the best antecedent MRI marker of imminent conversion, with decreased hippocampal volume (left > right) being the most robust. Validation of imaging biomarkers is important as they can help enrich clinical trials of disease modifying agents by identifying individuals at highest risk for progression to AD.
机译:阿尔茨海默氏病神经影像学计划(ADNI)是一项评估诊断和纵向监测中的神经影像学的多中心研究。轻度遗忘性认知障碍(MCI)通常代表痴呆症的前驱形式,每年转化为AD的风险为10-15%。我们分析了来自ADNI队列的693名参与者的基线1.5T MRI扫描,按基线诊断将其分为四组,将一年的MCI转换为可能的AD转换状态,以识别与MCI和AD相关的神经影像学表型以及即将发生转换的潜在预测标记。使用公开可用的基于体素的形态计量学(VBM)和自动分块方法分析MP-RAGE扫描。措施包括整体和海马灰质(GM)密度,海马和杏仁核体积,以及内嗅皮层以及其他颞叶和顶叶区域的皮质厚度值。与健康对照组(HC,n = 206)相比,MCI(n = 339)和AD(n = 148)的结构MRI改变的总体模式与先前在较小样品中的发现相似。在达到AD临床标准之前的一年内,MCI转化者(n = 62)表现出与AD组非常相似的萎缩性变化。最后,比较MRI指标上MCI-Converters和MCI-Stable(n = 277)组之间对比的影响大小,结果表明内侧颞叶结构的神经变性程度是即将转换的最佳MRI标记,海马体积减少(左>右)是最可靠的。成像生物标记物的验证很重要,因为它们可以通过鉴定出发展为AD的最高风险个体来帮助丰富疾病修饰剂的临床试验。

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