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Updated: Jun 5, 2026

A Volumetric Method for Quantification of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage
Published on: July 28, 2018
[Statistical study on correlation between cerebral arteriovenous malformation and hemodynamic aneurysms]
Yong Sun1, Ai-Min Li, You-Xiang Li
1Department of Neurosurgery, the First People's Hospital of Lianyungang City, Xuzhou Medical College, Lianyungang 222002, China.
Objective:
to explore the characteristic factors of arteriovenous malformation (AVM) which have statistically significant correlation with hemodynamic aneurysms.
Methods:
from August 1999 to July 2009, the clinical and imaging indices of 363 consecutive patients with AVM were retrospectively reviewed and entirely statistically analyzed. There were 229 male patients and 137 female patients, the mean age at the time of presentation was 28 ± 13 years. By using SPSS 16.0 medical statistic software, the correlation were analyzed between hemodynamic aneurysms and 13 characteristic factors associated with AVM through the methods of unit-factor and multi-factor analysis. Finally, the risk of the correlative factors filtered were evaluated.
Results:
the crosstabs analysis of unit-factor strongly suggested that the following factors, including age, location (supertentorium, subtentorium), size, number of main feeding arteries, number of drainage veins, ectasis of drainage veins, contralateral supply, and supply by both anterior and posterior circulation, were correlated with hemodynamic aneurysms. And the results of regression analysis of multi-factors indicated the following factors, including age, number of main feeding arteries, and contralateral supply, were positively correlated with hemodynamic aneurysms and the number of drainage veins were negatively correlated with hemodynamic aneurysms.
Conclusion:
the factors including age, number of main feeding arteries, number of drainage veins and contralateral supply, are highly correlated with hemodynamic aneurysms.
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