Lao Yi, Nguyen Binh, Tsao Sinchai, Gajawelli Niharika, Law Meng, Chui Helena, Weiner Michael, Wang Yalin, Leporé Natasha
CIBORG Laboratory, Department of Radiology, Children's Hospital Los Angeles, USA; Department of Biomedical Engineering, University of Southern California, USA.
CIBORG Laboratory, Department of Radiology, Children's Hospital Los Angeles, USA.
Neuroimage Clin. 2016 Dec 28;14:298-307. doi: 10.1016/j.nicl.2016.12.027. eCollection 2017.
Understanding the extent to which vascular disease and its risk factors are associated with prodromal dementia, notably Alzheimer's disease (AD), may enhance predictive accuracy as well as guide early interventions. One promising avenue to determine this relationship consists of looking for reliable and sensitive imaging methods capable of characterizing the subtle brain alterations before the clinical manifestations. However, little is known from the imaging perspective about how risk factors such as vascular disease influence AD progression. Here, for the first time, we apply an innovative T1 and DTI fusion analysis of 3D corpus callosum (CC) on mild cognitive impairment (MCI) populations with different levels of vascular profile, aiming to de-couple the vascular factor in the prodromal AD stage. Our new fusion method successfully increases the detection power for differentiating MCI subjects with high from low vascular risk profiles, as well as from healthy controls. MCI subjects with high and low vascular risk profiles showed differed alteration patterns in the anterior CC, which may help to elucidate the inter-wired relationship between MCI and vascular risk factors.
了解血管疾病及其风险因素与前驱性痴呆（尤其是阿尔茨海默病，AD）的关联程度，可能会提高预测准确性并指导早期干预。确定这种关系的一个有前景的途径是寻找可靠且灵敏的成像方法，这些方法能够在临床表现出现之前表征细微的脑部改变。然而，从成像角度来看，关于血管疾病等风险因素如何影响AD进展，我们所知甚少。在此，我们首次对具有不同血管特征水平的轻度认知障碍（MCI）人群应用创新的三维胼胝体（CC）的T1和扩散张量成像（DTI）融合分析，旨在在前驱性AD阶段分离出血管因素。我们的新融合方法成功提高了区分高血管风险与低血管风险的MCI受试者以及健康对照的检测能力。具有高和低血管风险特征的MCI受试者在前部CC显示出不同的改变模式，这可能有助于阐明MCI与血管风险因素之间的内在联系。
