Wong Yoke Queen, Tan Li Kuo, Seow Pohchoo, Tan Maw Pin, Abd Kadir Khairul Azmi, Vijayananthan Anushya, Ramli Norlisah
University Malaya Research Imaging Centre, Department of Biomedical Imaging, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Department of Diagnostic Imaging, Hospital Selayang, Batu Caves, Selangor, Malaysia.
PLoS One. 2017 Jun 28;12(6):e0179895. doi: 10.1371/journal.pone.0179895. eCollection 2017.
This study assesses the whole brain microstructural integrity of white matter tracts (WMT) among older individuals with a history of falls compared to non-fallers.
85 participants (43 fallers, 42 non-fallers) were evaluated with conventional MRI and diffusion tensor imaging (DTI) sequences of the brain. DTI metrics were obtained from selected WMT using tract-based spatial statistics (TBSS) method. This was followed by binary logistic regression to investigate the clinical variables that could act as confounding elements on the outcomes. The TBSS analysis was then repeated, but this time including all significant predictor variables from the regression analysis as TBSS covariates.
The mean diffusivity (MD) and axial diffusivity (AD) and to a lesser extent radial diffusivity (RD) values of the projection fibers and commissural bundles were significantly different in fallers (p < 0.05) compared to non-fallers. However, the final logistic regression model obtained showed that only functional reach, white matter lesion volume, hypertension and orthostatic hypotension demonstrated statistical significant differences between fallers and non-fallers. No significant differences were found in the DTI metrics when taking into account age and the four variables as covariates in the repeated analysis.
This DTI study of 85 subjects, do not support DTI metrics as a singular factor that contributes independently to the fall outcomes. Other clinical and imaging factors have to be taken into account.
本研究评估有跌倒史的老年人与未跌倒者相比,其脑白质束(WMT)的全脑微观结构完整性。
对85名参与者(43名跌倒者,42名未跌倒者)进行脑部常规MRI和扩散张量成像(DTI)序列评估。使用基于束的空间统计学(TBSS)方法从选定的WMT中获取DTI指标。随后进行二元逻辑回归,以研究可能作为结果混杂因素的临床变量。然后重复TBSS分析,但这次将回归分析中的所有显著预测变量作为TBSS协变量纳入。
与未跌倒者相比,跌倒者投射纤维和连合束的平均扩散率(MD)、轴向扩散率(AD)以及在较小程度上的径向扩散率(RD)值存在显著差异(p < 0.05)。然而,最终得到的逻辑回归模型显示,只有功能性伸展、脑白质病变体积、高血压和体位性低血压在跌倒者和未跌倒者之间表现出统计学显著差异。在重复分析中将年龄和这四个变量作为协变量考虑时,DTI指标未发现显著差异。
这项对85名受试者的DTI研究不支持DTI指标作为独立导致跌倒结果的单一因素。必须考虑其他临床和影像学因素。