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The temporal evolution of MRI tissue signatures after transient middle cerebral artery occlusion in rat
1Department of Neurology, Henry Ford Health Science Center, Detroit, MI 48201, USA.
Abstract:
We have developed a multiparameter magnetic resonance imaging (MRI) cluster analysis model of acute ischemic stroke using T2 relaxation times and the diffusion coefficient of water (ADCw). To test the ability of this model to predict cerebral infarction, male Wistar rats (n = 7) were subjected to 2 h of transient middle cerebral artery (MCA) occlusion, and diffusion and T2 weighted MRI were performed on these rats before, during and up to 7 days after MCA occlusion. MRI tissue signatures, specified by values of ADCw and T2 were assigned to tissue histopathology. Significant correlations were obtained between MRI signatures at different time points and histopathologic measurements of lesion area obtained at 1 week. In addition, we compared the temporal evolution of MRI tissue signatures to a separate population of animals at which histological data were obtained at select times of reperfusion. A significant shift (p < or = 0.05) within signatures reflecting tissue histopathology was demonstrated as the ischemic lesion evolved over time. Our data suggest, that the MRI signatures are associated with the degree of ischemic cell damage. Thus, the tissue signature model may provide a noninvasive means to monitor the evolution of ischemic cell damage and to predict final outcome of ischemic cell damage.
Insights
This study introduces a multiparameter magnetic resonance imaging (MRI) model using T2 relaxation times and apparent diffusion coefficient (ADCw) to analyze acute ischemic stroke. The model accurately correlates MRI signatures with ischemic cell damage, aiding in predicting stroke outcomes.
Area of Science:
- Biomedical Imaging
- Neuroscience
- Stroke Research
Background:
- Acute ischemic stroke poses significant challenges in diagnosis and outcome prediction.
- Multiparameter magnetic resonance imaging (MRI) offers potential for detailed tissue characterization.
Purpose of the Study:
- To develop and validate a multiparameter MRI cluster analysis model for acute ischemic stroke.
- To assess the model's ability to predict cerebral infarction and monitor ischemic cell damage evolution.
Main Methods:
- Developed a multiparameter MRI model using T2 relaxation times and apparent diffusion coefficient (ADCw).
- Utilized transient middle cerebral artery occlusion in Wistar rats, with MRI performed before, during, and up to 7 days post-occlusion.
- Correlated MRI signatures with histopathological measurements of lesion area and temporal evolution.
Main Results:
- Significant correlations were found between MRI signatures and histopathological lesion areas at 1 week.
- Demonstrated significant temporal shifts in MRI signatures reflecting evolving ischemic cell damage (p < 0.05).
- MRI signatures were associated with the degree of ischemic cell damage.
Conclusions:
- The developed multiparameter MRI model provides a noninvasive method for monitoring ischemic stroke evolution.
- This tissue signature model shows promise for predicting the final outcome of ischemic cell damage.