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Updated: May 9, 2026

A Volumetric Method for Quantification of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage

A Volumetric Method for Quantification of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage

Published on: July 28, 2018

Evidence-based cerebral vasospasm surveillance.

Heather Kistka¹, Michael C Dewan, J Mocco

¹Vanderbilt University Medical Center, Department of Neurological Surgery, T-4224 Medical Center North, Nashville, TN 37212, USA.

Neurology Research International

|July 18, 2013

Summary

Detecting cerebral vasospasm after aneurysmal subarachnoid hemorrhage (aSAH) is crucial. This review examines various surveillance technologies, highlighting their strengths and weaknesses for improved diagnosis and patient outcomes.

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Published on: June 3, 2021

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Last Updated: May 9, 2026

A Volumetric Method for Quantification of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage

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Published on: July 28, 2018

Analysis of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage with High Frequency Transcranial Duplex Ultrasound

Analysis of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage with High Frequency Transcranial Duplex Ultrasound

Published on: June 3, 2021

Area of Science:

Neurology
Neurosurgery
Radiology

Background:

Aneurysmal subarachnoid hemorrhage (aSAH) is a critical condition with high mortality.
Delayed cerebral ischemia due to vasospasm is a common and devastating complication of aSAH.
Effective surveillance for vasospasm is essential for preventing secondary brain injury.

Purpose of the Study:

To review and evaluate current surveillance technologies for detecting cerebral vasospasm post-aSAH.
To discuss the advantages and limitations of each diagnostic modality.
To emphasize the benefit of using multiple surveillance tools for enhanced accuracy.

Main Methods:

Review of existing literature on cerebral vasospasm surveillance techniques.
Analysis of common modalities: transcranial doppler ultrasonography and computed tomography.
Discussion of advanced and invasive monitoring methods including electroencephalography, PET, SPECT, CT, brain tissue oxygen monitoring, microdialysis, thermal diffusion, jugular bulb oximetry, and near-infrared spectroscopy.

Main Results:

Various non-invasive and invasive tools exist for vasospasm surveillance after aSAH.
Each technology presents unique benefits and drawbacks.
Combining multiple surveillance methods can improve diagnostic sensitivity and specificity.

Conclusions:

No single surveillance tool is perfect for detecting cerebral vasospasm post-aSAH.
A multimodal approach to surveillance offers the most comprehensive and accurate assessment.
Optimizing vasospasm detection is key to reducing morbidity and mortality in aSAH patients.