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Computational and Mathematical Methods in Medicine
Volume 2014, Article ID 370849, 5 pages
http://dx.doi.org/10.1155/2014/370849
Research Article

Fully Automated Detection of Corticospinal Tract Damage in Chronic Stroke Patients

1Department of Radiology, Zhongda Hospital, Southeast University, Nanjing 210009, China
2Department of Rehabilitation, Zhongda Hospital, Southeast University, Nanjing 210009, China
3Department of Neurology, Affiliated Zhongda Hospital of Southeast University, Nanjing 210009, China

Received 8 November 2013; Accepted 24 December 2013; Published 15 January 2014

Academic Editor: Rong Chen

Copyright © 2014 Ming Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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 ( ), as well as the FAratio ( ). There was no significant difference between the two subgroups in the contralesional CST ( ). Compared with contralesional CST, FA of ipsilesional CST decreased in group 1 ( ). 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.