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

Medicine

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