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通过基于图谱的扩散张量成像生物标志物对急性中风患者运动结局预测进行前瞻性重新评估。

A prospective reappraisal of motor outcome prediction in patients with acute stroke by using atlas-based diffusion tensor imaging biomarkers.

作者信息

Chen Yung-Chieh, Cheng Sho-Jen, Hsieh Li-Chun, Shyu Hann-Yeh, Chen Ming-Hua, Chen Cheng-Yu, Kuo Duen-Pang

机构信息

Department of Medical Imaging, Taipei Medical University Hospital, Taipei, Taiwan.

Translational Imaging Research Center, Taipei Medical University Hospital, Taipei, Taiwan.

出版信息

Top Stroke Rehabil. 2024 Mar;31(2):199-210. doi: 10.1080/10749357.2023.2214977. Epub 2023 May 20.

DOI:10.1080/10749357.2023.2214977
PMID:37209060
Abstract

BACKGROUND

Diffusion tensor imaging (DTI) biomarkers can be used to quantify microstructural changes in the cerebral white matter (WM) following injury.

OBJECTIVES

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

Atlas-based DTI-derived metrics at acute stage provide objective information for prognosis prediction of patients with ischemic or lacunar stroke.

摘要

背景

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。

目的

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。

方法

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。

结果

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。

结论

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。

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