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Perfusion-weighted MRI parameters for prediction of early progressive infarction in middle cerebral artery occlusion

  • Catholic University of Korea

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

Objective: Early progressive infarction (EPI) is frequently observed and related to poor functional outcome in patients with middle cerebral artery (MCA) infarction caused by MCA occlusion. We evaluated the perfusion parameters of magnetic resonance imaging (MRI) as a predictor of EPI. Methods: We retrospectively analyzed patients with acute MCA territory infarction caused by MCA occlusion. EPI was defined as a National Institutes of Health Stroke Scale increment ≥2 points during 24 hours despite receiving standard treatment. Regional parameter ratios, such as cerebral blood flow and volume (rCBV) ratio (ipsilateral value/contralateral value) on perfusion MRI were analyzed to investigate the association with EPI. Results: Sixty-four patients were enrolled in total. EPI was present in 18 (28%) subjects and all EPI occurred within 3 days after hospitalization. Diabetes mellitus, rCBV ratio and regional time to peak (rTTP) ratio showed statically significant differences in both groups. Multi-variate analysis indicated that history of diabetes mellitus [odds ratio (OR), 6.13; 95% confidence interval (CI), 1.55–24.24] and a low rCBV ratio (rCBV, <0.85; OR, 6.57; 95% CI, 1.4–30.27) was significantly correlated with EPI. Conclusion: The incidence of EPI is considerable in patients with acute MCA territory infarction caused by MCA occlusion. We suggest that rCBV ratio is a useful neuro-imaging parameter to predict EPI.

Original languageEnglish
Pages (from-to)346-351
Number of pages6
JournalJournal of Korean Neurosurgical Society
Volume59
Issue number4
DOIs
StatePublished - 2016

Bibliographical note

Publisher Copyright:
© 2016 The Korean Neurosurgical Society.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Acute ischemic stroke
  • Cerebral blood volume
  • Hemodynamic failure
  • Magnetic resonance imaging
  • Middle cerebral artery occlusion

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