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Assessment of the risk of rupture of intracranial aneurysms using three-dimensional cerebral digital subtraction angiography.
MedLine Citation:
PMID:  21309494     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
The aim of this study was to develop an improved binary logistic regression model for predicting the risk of intracranial aneurysm rupture. A cohort of patients (n=37) with aneurysms underwent three-dimensional digital subtraction angiography examination to measure several morphological parameters of the aneurysm. The aspect ratio (height/neck size) and the size ratio (length/mean diameter of parent vessel) were also calculated. All the morphological parameters combined with the aneurysm location and the patient's baseline data were used to derive a backward binary logistic regression model. In order to validate the model, it was applied to another independent cohort of 19 patients with aneurysms. The model had sensitivity, specificity and accuracy of 84.6%, 66.7% and 78.9%, respectively. This binary logistic regression model of aneurysm rupture risk identified the status of an aneurysm with high accuracy and could form the basis of more complex models in the future.
Authors:
J Yu; Q Wu; F Q Ma; J Xu; J M Zhang
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  The Journal of international medical research     Volume:  38     ISSN:  0300-0605     ISO Abbreviation:  J. Int. Med. Res.     Publication Date:    2010 Sep-Oct
Date Detail:
Created Date:  2011-02-11     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0346411     Medline TA:  J Int Med Res     Country:  England    
Other Details:
Languages:  eng     Pagination:  1785-94     Citation Subset:  IM    
Affiliation:
Department of Cerebral Surgery, The Second Affiliated Hospital, Zhejiang University College of Medicine, Hangzhou, China.
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