Key result
A novel 320-detector CTA motion-detection algorithm successfully quantified intracranial vessel motion, demonstrating that the posterior cerebral arteries have significantly larger motion than the internal carotid arteries (P < 0.001).
Observational (n=10)
No
p-value: p=<0.001
A novel 320-detector CTA motion-detection algorithm successfully quantified and visualized intracranial vessel motion and pulsation during the cardiac cycle in human subjects.
CTA motion quantification may inform interpretation of posterior circulation studies; leaves open whether differences affect diagnostic accuracy.
This is the first report of success in numerically quantifying and visualizing cardiac cycle-related intracranial vessel motion and pulse waves in human subjects by using 320-detector CTA and a newly developed motion-detection algorithm to better understand the physiologies of intracranial arteries. This new technique promises to provide significant novel information for analyzing the elasticity of cerebral vessels and should be incorporated in the analysis of vessel fluid dynamics.
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Nishida et al. (2011) conducted an observational in Intracranial aneurysms (n=10). 320-detector CTA with motion-detection algorithm was evaluated on Motion index of cerebral arteries (p=<0.001). A novel 320-detector CTA motion-detection algorithm successfully quantified intracranial vessel motion, demonstrating that the posterior cerebral arteries have significantly larger motion than the internal carotid arteries (P < 0.001).
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