Determining Corticospinal Tract Injury from Stroke Using Computed Tomography

Can J Neurol Sci. 2020 Nov;47(6):775-784. doi: 10.1017/cjn.2020.112. Epub 2020 Jun 4.

Abstract

Introduction: Damage to the corticospinal tract (CST) from stroke leads to motor deficits. The damage can be quantified as the amount of overlap between the stroke lesion and CST (CST Injury). Previous literature has shown that the degree of motor deficits post-stroke is related to the amount of CST Injury. These studies delineate the stroke lesion from structural T1-weighted magnetic resonance imaging (MRI) scans, often acquired for research. In Canada, computed tomography (CT) is the most common imaging modality used in routine acute stroke care. In this proof-of-principle study, we determine whether CST Injury, using lesions delineated from CT scans, significantly explains the variability in motor impairment in individuals with stroke.

Methods: Thirty-seven participants with stroke were included in this study. These individuals had a CT scan within the acute stage (7 days) of their stroke and underwent motor assessments. Brain images from CT scans were registered to MRI space. We performed a stepwise regression analysis to determine the contribution of CST injury and demographic variables in explaining motor impairment variability.

Results: Using clinically available CT scans, we found modest evidence that CST Injury explains variability in motor impairment (R2adj = 0.12, p = 0.02). None of the participant demographic variables entered the model.

Conclusion: We show for the first time a relationship between CST Injury and motor impairment using CT scans. Further work is required to evaluate the utility of data derived from clinical CT scans as a biomarker of stroke motor recovery.

Keywords: Computed tomography; Corticospinal tract; Magnetic resonance imaging; Motor; Stroke.

MeSH terms

  • Brain
  • Humans
  • Magnetic Resonance Imaging
  • Pyramidal Tracts* / diagnostic imaging
  • Stroke* / complications
  • Stroke* / diagnostic imaging
  • Tomography, X-Ray Computed