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Prediction of motor outcome based on brain perfusion single photon emission computed tomography in corona radiata infarct.

Authors :
Kong, Eunjung
Park, Donghwi
Chang, Min Cheol
Source :
International Journal of Neuroscience. Oct2023, p1-7. 7p. 4 Illustrations, 4 Charts.
Publication Year :
2023

Abstract

Abstract Background Methods Results Conclusion There is limited information on brain perfusion single-photon emission computed tomography (SPECT) findings related to motor outcomes in patients with stroke. We aimed to investigate whether brain SPECT can be used to determine motor outcomes after corona radiata infarction.Eighty-nine patients were recruited in this study. Brain SPECT and diffusion tensor tractography (DTT) were conducted to evaluate the state of the corticospinal tract (CST) within 7–30 days of corona radiata infarct. Motor outcome was measured 6 months after infarct onset and was evaluated using the modified Brunnstrom classification (MBC) and functional ambulation category (FAC) for motor function of the upper and lower extremities, respectively. The presence of hypoperfusion on brain SPECT was evaluated in the frontal lobe, temporal lobe, parietal lobe, basal ganglia, thalamus, and cerebellum on both the ipsilesional and contralesional sides. Statistical analysis was performed using multivariate logistic regression, comparing patients in which CST was spared versus interrupted.Hypoperfusion in the contralesional cerebellum was indicative of poor recovery in both the upper and lower extremities after corona radiata infarction when the CST was interrupted. Additionally, when the CST was preserved, hypoperfusion in the ipsilesional thalamus was indicative of poor recovery of the lower extremities.Brain SPECT evaluation was shown to be a useful tool for predicting motor outcomes in patients with corona radiata infarcts. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00207454
Database :
Academic Search Index
Journal :
International Journal of Neuroscience
Publication Type :
Academic Journal
Accession number :
172872002
Full Text :
https://doi.org/10.1080/00207454.2023.2269476