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

Autor: Chen YC; Department of Medical Imaging, Taipei Medical University Hospital, Taipei, Taiwan.; Translational Imaging Research Center, Taipei Medical University Hospital, Taipei, Taiwan., Cheng SJ; Department of Medical Imaging, Taipei Medical University Hospital, Taipei, Taiwan.; Translational Imaging Research Center, Taipei Medical University Hospital, Taipei, Taiwan., Hsieh LC; Department of Medical Imaging, Taipei Medical University Hospital, Taipei, Taiwan.; Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan., Shyu HY; Section of Neurology, Department of Internal Medicine, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan., Chen MH; Section of Neurology, Department of Internal Medicine, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan., Chen CY; Department of Medical Imaging, Taipei Medical University Hospital, Taipei, Taiwan.; Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.; Research Center for Artificial Intelligence in Medicine, Taipei Medical University, Taipei, Taiwan.; Department of Radiology, National Defense Medical Center, Taipei, Taiwan., Kuo DP; Department of Medical Imaging, Taipei Medical University Hospital, Taipei, Taiwan.; Translational Imaging Research Center, Taipei Medical University Hospital, Taipei, Taiwan.; Department of Radiology, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan.
Jazyk: angličtina
Zdroj: Topics in stroke rehabilitation [Top Stroke Rehabil] 2024 Mar; Vol. 31 (2), pp. 199-210. Date of Electronic Publication: 2023 May 20.
DOI: 10.1080/10749357.2023.2214977
Abstrakt: 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, n  = 27) and poor-prognosis group (mRS 3-5, n  = 13) by outcome. The median (25 th -75 th percentile) of MD (0.7 (0.6-0.7) vs. 0.7 (0.7-0.8); p  = 0.049) and AD (0.6 (0.5, 0.7) vs. 0.7 (0.6, 0.8); p  = 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 p  > 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.
Databáze: MEDLINE
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