Chen Yung-Chieh, Cheng Sho-Jen, Hsieh Li-Chun, Shyu Hann-Yeh, Chen Ming-Hua, Chen Cheng-Yu, Kuo Duen-Pang
Department of Medical Imaging, Taipei Medical University Hospital, Taipei, Taiwan.
Translational Imaging Research Center, Taipei Medical University Hospital, Taipei, Taiwan.
Top Stroke Rehabil. 2024 Mar;31(2):199-210. doi: 10.1080/10749357.2023.2214977. Epub 2023 May 20.
Diffusion tensor imaging (DTI) biomarkers can be used to quantify microstructural changes in the cerebral white matter (WM) following injury.
This prospective single-center study aimed to evaluate whether atlas-based DTI-derived metrics obtained within 1 week after stroke can predict the motor outcome at 3 months.
Forty patients with small acute stroke (2-7 days after onset) involving the corticospinal tract were included. Each patient underwent magnetic resonance imaging (MRI) within 1 week and at 3 months after stroke, and the changes based on DTI-derived metrics were compared by performing WM tract atlas-based quantitative analysis.
A total of 40 patients were included, with median age 63.5 years and a majority of males (72.5%). Patients were classified into good-prognosis group (mRS 0-2, = 27) and poor-prognosis group (mRS 3-5, = 13) by outcome. The median (25-75 percentile) of MD (0.7 (0.6-0.7) vs. 0.7 (0.7-0.8); = 0.049) and AD (0.6 (0.5, 0.7) vs. 0.7 (0.6, 0.8); = 0.023) ratios within 1 week were significantly lower in the poor-prognosis group compared to the good-prognosis group. The ROC curve of the combined DTI-derived metrics model showed comparable Youden index (65.5% vs. 58.4%-65.4%) and higher specificity (96.3% vs. 69.2%-88.5%) compared to clinical indexes. The area under the ROC curve of the combined DTI-derived metrics model is comparable to those of the clinical indexes (all > 0.1) and higher than those of the individual DTI-derived metrics parameters.
Atlas-based DTI-derived metrics at acute stage provide objective information for prognosis prediction of patients with ischemic or lacunar stroke.
弥散张量成像(DTI)生物标志物可用于量化脑白质(WM)损伤后的微观结构变化。
这项前瞻性单中心研究旨在评估卒中后1周内基于图谱的DTI衍生指标是否能够预测3个月时的运动结局。
纳入40例累及皮质脊髓束的急性小卒中患者(发病后2 - 7天)。每位患者在卒中后1周内及3个月时接受磁共振成像(MRI)检查,并通过基于WM束图谱的定量分析比较基于DTI衍生指标的变化。
共纳入40例患者,中位年龄63.5岁,大多数为男性(72.5%)。根据结局将患者分为预后良好组(改良Rankin量表评分0 - 2分,n = 27)和预后不良组(改良Rankin量表评分3 - 5分,n = 13)。预后不良组1周内平均弥散率(MD)(0.7(0.6 - 0.7)对0.7(0.7 - 0.8);P = 0.049)和轴向弥散率(AD)(0.6(0.5,0.7)对0.7(0.6,0.8);P = 0.023)的中位数(第25 - 75百分位数)显著低于预后良好组。与临床指标相比,联合DTI衍生指标模型的ROC曲线显示出相当的约登指数(65.5%对58.4% - 65.4%)和更高的特异性(96.3%对69.2% - 88.5%)。联合DTI衍生指标模型的ROC曲线下面积与临床指标相当(均>0.1)且高于单个DTI衍生指标参数。
急性期基于图谱的DTI衍生指标为缺血性或腔隙性卒中患者的预后预测提供了客观信息。