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A Volumetric Method for Quantification of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage
Published on: July 28, 2018
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Simple procedure for assessing diffuse subarachnoid hemorrhage successfully created using filament perforation method
Tatsushi Mutoh1,2, Ryota Tochinai1,2,3, Hiroaki Aono1
1Department of Surgical Neurology, Research Institute for Brain and Blood Vessels, Akita Cerebrospinal and Cardiovascular Center, Akita, Japan.
Animal Models and Experimental Medicine
|December 19, 2023
Summary
This study presents a simple method to select appropriate mouse models of subarachnoid hemorrhage (SAH). Visualizing a clot in the cisterna magna (CM) effectively identifies clinically relevant SAH models for research.
Area of Science:
- Neuroscience
- Translational Medicine
- Animal Models
Background:
- Subarachnoid hemorrhage (SAH) research relies on animal models.
- Current validation methods for SAH models are limited.
- The filament perforation technique simulates human SAH pathophysiology.
Purpose of the Study:
- To introduce a simple, reliable method for selecting diffuse subarachnoid hemorrhage (SAH) mouse models.
- To validate a visual assessment technique for SAH model selection.
Main Methods:
- SAH was induced in 24 mice using filament perforation.
- Survival was confirmed at 24 hours post-induction.
- SAH severity was scored using T2*-weighted MRI and direct visual surveillance of the cisterna magna (CM).
Main Results:
- CM-based SAH grading showed strong correlation with extracted brain parameters (r² = 0.53, p < 0.0001).
- Visual CM assessment achieved 85% sensitivity and 91% specificity for diffuse SAH detection.
- The area under the curve for CM grading (0.89 ± 0.06) was comparable to MRI-based grading (0.72 ± 0.10).
Conclusions:
- Confirming an SAH clot in the CM is a valuable method for selecting clinically relevant diffuse SAH models.
- This simple procedure enhances the reliability of SAH animal models for experimental studies.
- The CM-based method offers a practical approach for validating SAH models.
