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Quantification of Neurovascular Protection Following Repetitive Hypoxic Preconditioning and Transient Middle Cerebral Artery Occlusion in Mice
Published on: May 4, 2015
Quantitative evaluation of BBB permeability after embolic stroke in rat using MRI
Quan Jiang1, James R Ewing, Guang Liang Ding
1Department of Neurology, Henry Ford Health Sciences Center, Detroit, MI 48202, USA.
Summary
Magnetic resonance imaging (MRI) can predict blood-brain barrier (BBB) disruption after embolic stroke. Specific MRI parameters like K(i), V(p), and k(inv) sensitively identify early BBB compromise in rats.
Area of Science:
- Neuroimaging
- Stroke Research
- Biomedical Engineering
Background:
- The blood-brain barrier (BBB) integrity is crucial in stroke pathophysiology.
- Early detection of BBB disruption aids in timely therapeutic interventions.
- Current methods for assessing BBB compromise post-stroke have limitations.
Purpose of the Study:
- To identify and validate magnetic resonance imaging (MRI) parameters for predicting BBB disruption after embolic stroke.
- To evaluate the sensitivity of quantitative MRI parameters in detecting early signs of BBB breakdown.
Main Methods:
- Embolic stroke was induced in rats, with and without rt-PA treatment.
- Quantitative MRI parameters including K(i), V(p), k(inv), ADC(w), T2, and CBF were measured.
- Post-mortem histological analysis was performed to detect fibrin leakage, confirming BBB disruption.
Main Results:
- The transfer constant (K(i)), distribution volume (V(p)), and inverse of magnetization transfer rate (k(inv)) were sensitive early indicators (2-3 hours) of BBB disruption and subsequent fibrin leakage.
- Cerebral blood flow (CBF) did not show significant differences between ischemic tissue with compromised versus intact BBB.
- These MRI parameters effectively predicted BBB compromise.
Conclusions:
- Specific quantitative MRI parameters (K(i), V(p), k(inv)) can sensitively predict blood-brain barrier disruption following embolic stroke.
- These non-invasive MRI markers offer a promising approach for early assessment of BBB integrity in stroke models.
- The findings support the use of advanced MRI techniques for monitoring stroke progression and therapeutic response.

