A novel method to assess pial collateralization from stroke perfusion MRI: subdividing Tmax into anatomical

Arne Potreck1, Fatih Seker2, Angelika Hoffmann2

  • 1Department of Neuroradiology, Heidelberg University Hospital, INF 400, 69120, Heidelberg, Germany. arne.potreck@med.uni-heidelberg.de.

European Radiology
|May 26, 2016
PubMed
Abstract

Insights

A new MRI method, the pial Tmax map-assessed collateral score (TMACS), accurately quantifies pial collateral circulation. TMACS and the mismatch ratio independently predict favorable clinical outcomes in stroke patients.

Area of Science:

  • Neuroradiology
  • Neuroimaging
  • Cerebrovascular disease

Background:

  • Assessing pial collateral circulation is crucial for stroke management.
  • Conventional methods for evaluating collaterals can be subjective and time-consuming.

Purpose of the Study:

  • To develop and validate a quantitative, observer-independent method using DSC-perfusion MRI to assess pial collateral circulation.
  • To determine if this novel method provides information independent of conventional penumbra imaging (mismatch approach).

Main Methods:

  • Retrospective analysis of 47 patients with M1 occlusion undergoing MR diffusion/perfusion imaging and mechanical thrombectomy.
  • Automated registration and segmentation to attribute Tmax delays to pial, cortical, and parenchymal compartments.
  • Calculation of the pial Tmax map-assessed collateral score (TMACS) and correlation with digital subtraction angiography (DSA).

Main Results:

  • A strong correlation was observed between TMACS and DSA-assessed collateral scores (Pearson ρ = -0.74, p < 0.001).
  • Both good collaterals by TMACS and a high mismatch ratio were independent predictors of favorable clinical outcome.
  • TMACS provides quantitative, observer-independent assessment of collateral status.

Conclusions:

  • The TMACS method accurately reflects pial collateral extent as validated by DSA.
  • TMACS and mismatch ratio are complementary predictors of favorable clinical outcome, offering independent predictive information.
  • This novel quantitative marker of collateral status is an independent predictor of neurological outcome.

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