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The probability of middle cerebral artery MRA flow signal abnormality with quantified CT ischaemic change: Targets for future therapeutic studies

  • P. A. Barber*
  • , A. M. Demchuk
  • , M. D. Hill
  • , J. H. Warwick Pexman
  • , M. E. Hudon
  • , R. Frayne
  • , A. M. Buchan
  • *Corresponding author for this work
  • University of Calgary
  • Seaman Fam. Magnetic Research Centre

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

Objectives: In this study we define the probability of vascular abnormality in the middle cerebral artery (MCA) territory according to the extent of ischaemic change seen using computed tomography (CT). We assessed the sensitivity and specificity of the hyperdense middle cerebral artery (HMCA) and the "dot" sign using magnetic resonance angiography (MRA). Methods: Patients presenting with ischaemic stroke had a CT scan (<6 h) prior to MRI (<7 h). A quantitative CT scoring system (ASPECTS) was applied to CT and diffusion weighted images (DWI) at baseline and follow up (24 h) by five independent observers. The presence of HMCA and the MCA "dot" sign was also evaluated. An expert reader assessed the 3D time of flight (TOF) MRA in the anterior circulation for areas of decreased vascular signal in the MCA territory, with an absent signal taken to represent severely reduced or absent flow. Results: A total of 100 consecutive patients had baseline CT and MR scans. The median NIHSS was 9. The median CT ASPECTS was 8 and equalled the median DWI ASPECTS. There were a total of 10 HMCA and 19 MCA "dot" signs, with four patients having both HMCA and "dot" signs. A total of 47 MRA flow signal abnormalities were observed in the anterior circulation. Conclusions: In the absence of accessible neurovascular imaging, the extent of CT ischaemia (ASPECTS) is a strong predictor of vascular occlusion. The CT hyperdense artery signs have a high positive predictive value but low negative predictive value.

Original languageEnglish
Pages (from-to)1426-1430
Number of pages5
JournalJournal of Neurology, Neurosurgery and Psychiatry
Volume75
Issue number10
DOIs
StatePublished - Oct 2004
Externally publishedYes

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

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