AJDRAJNR - American Journal of Neuroradiology

Published ahead of print on July 3, 2008
doi: 10.3174/ajnr.A1153

This Article
Right arrow Abstract Freely available
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Supplemental Online Tables
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via CrossRef
Google Scholar
Right arrow Articles by Rosenthal, E.S.
Right arrow Articles by Lev, M.H.
PubMed
Right arrow PubMed Citation
Right arrow Articles by Rosenthal, E.S.
Right arrow Articles by Lev, M.H.

Role of Recanalization in Acute Stroke Outcome: Rationale for a CT Angiogram-Based "Benefit of Recanalization" Model

E.S. Rosenthala, L.H. Schwamma, L. Roccatagliatac, S.B. Couttsd, A.M. Demchukd, P.W. Schaeferb, R.G. Gonzalezb, M.D. Hilld, E.F. Halpernb and M.H. Levb

a Department of Neurology, Massachusetts General Hospital, Boston, Mass
b Department of Radiology, Massachusetts General Hospital, Boston, Mass
c Department of Neuroscience, Ophthalmology, and Genetics, University of Genoa, Genoa, Italy
d Department of Clinical Neurosciences, Foothills Hospital, University of Calgary, Calgary, Alberta, Canada


Figure 1
View larger version (51K):
[in this window]
[in a new window]

 
Fig 1. Multivariate predictors of outcome in patients with complete recanalization and in patients with incomplete recanalization. The model R2 represents the sum of the incremental R2 values of each selection variable added to the model in stepwise fashion. Of note, the presence of leptomeningeal collaterals had an inverse correlation with mRS, though the reported R2 is positive by definition. In addition, whereas both models remained strongly significant after step 3, variables added in step 3 of each model did not significantly increase the overall predictive capacity (R2) of each model beyond that provided for by the initial 2 variables.