title: Cerebral arteriovenous malformations: influence of angioarchitecture on bleeding risk.
abstract: BACKGROUND
  To evaluate the angioarchitecture of cerebral arteriovenous malformations (cAVMs) with special regard to its influence on the risk of intracranial haemorrhage.
  
  
  METHODS
  Clinical and neuroradiological data of 171 patients with cAVMs, who were treated at our department, were analysed retrospectively. The angioarchitectonic data were obtained from angiographic series, cranial CT scans and MR images. A chi(2) test was conducted to correlate the parameters and determine the P values.
  
  
  RESULTS
  The following parameters correlate to an increased risk of haemorrhage: diameter of the nidus < or =2 cm (P<0.001), number of arterial feeders < or =2 (P<0.001), diameter of the main feeder < or =1 mm (P<0.0001), number of veins draining the nidus < or =2 (P<0.001), exclusive deep drainage (P<0.05), and low or middle flow-velocity (P<0.01). Specific angioarchitectonic features such as venous stenoses, varicose dilatation of the draining vein, arterial aneurysms of the feeding artery, arteriovenous fistula within the nidus, contralateral drainage and sinushypo/-aplasia did not alter the bleeding rate.
  
  
  CONCLUSIONS
  Various angiographic features were correlated with the occurrence of intracranial haemorrhage in patients with cerebral AVMs. In addition to the well-known factors influencing the bleeding risk of cAVMs like size, pattern of venous drainage and location within the brain our data demonstrate the importance to look at the diameter of the main feeder and the number of draining veins showing a better correlation.
authors.affiliation: Department of Neuroradiology, University of Freiburg, Freiburg, Germany. rkubalek@web.de
authors.forename: R
authors.initials: R
authors.lastname: Kubalek
authors.forename: A
authors.initials: A
authors.lastname: Moghtaderi
authors.forename: J
authors.initials: J
authors.lastname: Klisch
authors.forename: A
authors.initials: A
authors.lastname: Berlis
authors.forename: A
authors.initials: A
authors.lastname: Quiske
authors.forename: M
authors.initials: M
authors.lastname: Schumacher
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D001783:Blood Flow Velocity / Q000502:physiology; D001921:Brain / Q000098:blood supply; D002533:Cerebral Angiography; D002536:Cerebral Arteries / Q000002:abnormalities; D002543:Cerebral Hemorrhage / Q000000981:diagnostic imaging* / Q000209:etiology; D002550:Cerebral Veins / Q000002:abnormalities; D002648:Child; D003392:Cranial Sinuses / Q000002:abnormalities; D005260:Female; D006801:Humans; D002538:Intracranial Arteriovenous Malformations / Q000000981:diagnostic imaging*; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D012189:Retrospective Studies; D012306:Risk; D014057:Tomography, X-Ray Computed