Classification schemes for arteriovenous malformations
Document Type
Article
Abstract
The wide variety of arteriovenous malformation (AVM) anatomy, size, location, and clinical presentation makes patient selection for surgery a difficult process. Neurosurgeons have identified key factors that determine the risks of surgery and then devised classification schemes that integrate these factors, predict surgical results, and help select patients for surgery. These classification schemes have value because they transform complex decisions into simpler algorithms. In this review, the important grading schemes that have contributed to management of patients with brain AVMs are described, and our current approach to patient selection is outlined.
Medical Subject Headings
Arteriovenous Fistula (classification, surgery); Cerebral Arteries (abnormalities); Cerebral Veins (abnormalities); Embolization, Therapeutic; Humans; Intracranial Arteriovenous Malformations (classification, surgery); Patient Selection; Radiosurgery; Risk Factors
Publication Date
11-24-2011
Publication Title
Neurosurgery clinics of North America
E-ISSN
1558-1349
Volume
23
Issue
1
First Page
43
Last Page
53
PubMed ID
22107857
Digital Object Identifier (DOI)
10.1016/j.nec.2011.09.002
Recommended Citation
Davies, Jason M.; Kim, Helen; Young, William L.; and Lawton, Michael T., "Classification schemes for arteriovenous malformations" (2011). Neurosurgery. 1025.
https://scholar.barrowneuro.org/neurosurgery/1025