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Defining reperfusion post endovascular therapy in ischemic stroke using MR-dynamic contrast enhanced perfusion. | LitMetric

AI Article Synopsis

  • Cerebral blood flow (CBF) measurements post-endovascular therapy (EVT) are crucial for determining the causes of early brain injury after an acute ischemic stroke.
  • The study compares reperfusion, assessed via the modified Thrombolysis in Cerebral Infarction Score (mTICI), with MRI-based perfusion metrics shortly after EVT, using machine learning to predict clinical outcomes and lesion growth.
  • Results showed significant differences in perfusion values among varying mTICI scores, indicating that MR perfusion holds potential as a reliable method for evaluating CBF and its impact on stroke recovery.

Article Abstract

Objectives: Cerebral blood flow (CBF) measurements after endovascular therapy (EVT) for acute ischemic stroke are important to distinguish early secondary injury related to persisting ischemia from that related to reperfusion when considering clinical response and infarct growth.

Methods: We compare reperfusion quantified by the modified Thrombolysis in Cerebral Infarction Score (mTICI) with perfusion measured by MRI dynamic contrast-enhanced perfusion within 5 h of EVT anterior circulation stroke. MR perfusion (rCBF, rCBV, rTmax, rT0) and mTICI scores were included in a predictive model for change in NIHSS at 24 h and diffusion-weighted imaging (DWI) lesion growth (acute to 24 h MRI) using a machine learning RRELIEFF feature selection coupled with a support vector regression.

Results: For all perfusion parameters, mean values within the acute infarct for the TICI-2b group (considered clinically good reperfusion) were not significantly different from those in the mTICI <2b (clinically poor reperfusion). However, there was a statistically significant difference in perfusion values within the acute infarct region of interest between the mTICI-3 group both mTICI-2b and <2b (). The features that made up the best predictive model for change in NIHSS and absolute DWI lesion volume change was rT0 within acute infarct ROI and admission CTA collaterals respectively. No other variables, including mTICI scores, were selected for these best models. The correlation coefficients (Root mean squared error) for the cross-validation were 0.47 (13.7) and 0.51 (5.7) for change in NIHSS and absolute DWI lesion volume change.

Conclusion: MR perfusion following EVT provides accurate physiological approach to understanding the relationship of CBF, clinical outcome, and DWI growth.

Advances In Knowledge: MR perfusion CBF acquired is a robust, objective reperfusion measurement providing following recanalization of the target occlusion which is critical to distinguish potential therapeutic harm from the failed technical success of EVT as well as improve the responsiveness of clinical trial outcomes to disease modification.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7716013PMC
http://dx.doi.org/10.1259/bjr.20190890DOI Listing

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