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Fully Automated Detection of Corticospinal Tract Damage in Chronic Stroke Patients
Joint Authors
Lu, Xue-song
Liu, Bin
Shi, Yong-mei
Yang, Ming
Li, Hui-jun
Chen, Hua-jun
Teng, Gao-jun
Yang, Ya-ru
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-15
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
Structural integrity of the corticospinal tract (CST) after stroke is closely linked to the degree of motor impairment.
However, current methods for measurement of fractional atrophy (FA) of CST based on region of interest (ROI) are time-consuming and open to bias.
Here, we used tract-based spatial statistics (TBSS) together with a CST template with healthy volunteers to quantify structural integrity of CST automatically.
Two groups of patients after ischemic stroke were enrolled, group 1 (10 patients, 7 men, and Fugl-Meyer assessment (FMA) scores ⩽ 50) and group 2 (12 patients, 12 men, and FMA scores = 100).
CST of FAipsi, FAcontra, and FAratio was compared between the two groups.
Relative to group 2, FA was decreased in group 1 in the ipsilesional CST (P<0.01), as well as the FAratio (P<0.01).
There was no significant difference between the two subgroups in the contralesional CST (P=0.23).
Compared with contralesional CST, FA of ipsilesional CST decreased in group 1 (P<0.01).
These results suggest that the automated method used in our study could detect a surrogate biomarker to quantify the CST after stroke, which would facilitate implementation of clinical practice.
American Psychological Association (APA)
Yang, Ming& Yang, Ya-ru& Li, Hui-jun& Lu, Xue-song& Shi, Yong-mei& Liu, Bin…[et al.]. 2014. Fully Automated Detection of Corticospinal Tract Damage in Chronic Stroke Patients. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-466702
Modern Language Association (MLA)
Yang, Ming…[et al.]. Fully Automated Detection of Corticospinal Tract Damage in Chronic Stroke Patients. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-5.
https://search.emarefa.net/detail/BIM-466702
American Medical Association (AMA)
Yang, Ming& Yang, Ya-ru& Li, Hui-jun& Lu, Xue-song& Shi, Yong-mei& Liu, Bin…[et al.]. Fully Automated Detection of Corticospinal Tract Damage in Chronic Stroke Patients. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-466702
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-466702