1. Central motor conduction time predicts new pyramidal MRI lesion and stroke-in-evolution in acute ischemic stroke.
- Author
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Liou LM, Chien CF, Wu MN, Ren MY, Lee KZ, Chuo PS, Hsu CY, Chen SL, and Lai CL
- Subjects
- Humans, Male, Female, Aged, Middle Aged, Neural Conduction physiology, Disease Progression, Evoked Potentials, Motor physiology, Aged, 80 and over, Ischemic Stroke diagnostic imaging, Ischemic Stroke physiopathology, Magnetic Resonance Imaging methods, Pyramidal Tracts diagnostic imaging, Pyramidal Tracts physiopathology
- Abstract
Stroke is one of the leading causes of disability worldwide. Stroke-in-evolution is an essential issue as it is often associated with a worse outcome. Central motor conduction time (CMCT) is the time required for neural impulses to travel through the central nervous system to the target muscles. CMCT prolongation indicates dysfunction of the corticospinal tract. This study aims to investigate the impact of CMCT on clinical features and MRI characteristics in patients with acute ischemic stroke. A total of 94 patients with suspected acute ischemic stroke, with an average age of 67.13 ± 10.73 years old and 69.15 % being male, were enrolled in this study. All patients underwent evaluation for stroke risk factors, medical record review, CMCT examination (with CMCT (+) indicating CMCT prolongation), cranial MRI examinations, and data analysis. Compared to CMCT (-), the number of CMCT (+) subjects was significantly higher in all groups except the "Ever Stroke" group. The CMCT (+) group exhibited significantly higher values of "NIHSS" and "mRS" compared to the CMCT (-) group. After ANCOVA adjustment, the number of CMCT (+) subjects remained significantly higher only in the radiologically classified "New Pyramidal Lesion on MRI" and clinically classified "Stroke-In-Evolution" groups. In conclusion, CMCT serves as both a diagnostic indicator of acute ischemic stroke with weakness accompanied by new pyramidal lesions on brain MRI, rather than weakness associated with old lesions on brain MRI, and as a predictive marker for stroke progression during hospitalization., (Copyright © 2024 Elsevier B.V. All rights reserved.)
- Published
- 2024
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