Transit time homogenization in ischemic stroke - A novel biomarker of penumbral microvascular failure?

Thorbjørn S Engedal1,2, Niels Hjort3, Kristina D Hougaard3

  • 11 Center of Functionally Integrative Neuroscience and MINDLab, Aarhus University, Aarhus University Hospital, Aarhus C, Denmark.

Insights

In acute ischemic stroke, prolonged mean transit time and low cerebral blood flow predict infarction. Low relative transit time heterogeneity also indicates infarction risk, especially without recanalization, suggesting microvascular failure.

Area of Science:

  • Neuroscience
  • Medical Imaging
  • Biophysics

Background:

  • Cerebral ischemia leads to capillary no-flow in animal models, but its extent in human stroke is unknown.
  • Microvascular impairment significantly impacts stroke outcomes.

Purpose of the Study:

  • To investigate the relationship between acute intra-voxel transit time characteristics, recanalization, and tissue outcome in human ischemic stroke.
  • To explore microvascular impairment using perfusion-weighted MRI and a computational model.

Main Methods:

  • Analysis of perfusion-weighted MRI data in 126 acute ischemic stroke patients.
  • Characterization of voxel-wise transit times: mean transit time (MTT), capillary transit time heterogeneity (CTH), and relative transit time heterogeneity (RTH).
  • Development of a computational model to link microvascular failure to transit time parameters.

Main Results:

  • Prolonged MTT (>5s) and low cerebral blood flow (≤6 mL/100mL/min) in perfusion-diffusion mismatch tissue correlated with high infarction risk, irrespective of recanalization.
  • Low RTH predicted infarction in the remaining mismatch region if recanalization failed.
  • Transit time homogenization, indicated by low RTH, suggests capillary no-flow and is associated with reduced cerebral blood volume.

Conclusions:

  • Prolonged MTT and low CBF are key indicators of infarction risk in stroke.
  • Low RTH may serve as a novel biomarker for penumbral microvascular failure.
  • Understanding microvascular dynamics is crucial for predicting stroke outcomes.

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