title: Classification schemes for arteriovenous malformations.
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.
authors: Department of Neurological Surgery, University of California San Francisco, 505 Parnassus Avenue, San Francisco, CA 94143-0112, USA.
authors: Jason M
authors: JM
authors: Davies
authors: Helen
authors: H
authors: Kim
authors: William L
authors: WL
authors: Young
authors: Michael T
authors: MT
authors: Lawton
mesh_terms: D001164:Arteriovenous Fistula / Q000145:classification* / Q000601:surgery; D002536:Cerebral Arteries / Q000002:abnormalities; D002550:Cerebral Veins / Q000002:abnormalities; D004621:Embolization, Therapeutic; D006801:Humans; D002538:Intracranial Arteriovenous Malformations / Q000145:classification* / Q000601:surgery; D018579:Patient Selection; D016634:Radiosurgery; D012307:Risk Factors