학술논문

DETERMINATION OF PREDICTIVE ANATOMIC PARAMETERS FOR BLEEDING OF BRAIN ARTERIOVENOUS MALFORMATIONS BY MULTIDETECTOR CT ANGIOGRAPHY
computed tomography
Document Type
Report
Source
Acta Clinica Croatica. December 2017, Vol. 56 Issue 4, p728, 5 p.
Subject
Care and treatment
Complications and side effects
Development and progression
Brain hemorrhage -- Development and progression -- Care and treatment
Arteriovenous malformations -- Complications and side effects -- Care and treatment
Medical research
Language
English
ISSN
0353-9466
Abstract
Introduction Brain arteriovenous malformations (AVMs) are considered to be congenital, usually solitary anomalies of the central nervous system. The first descriptions of vascular malformations date from BC to the year [...]
Patients with brain arteriovenous malformation (AVM) have a certain risk to bleed, and the goal of this study was to examine the effect of radiological and clinical predictive characteristics of AVM hemorrhage using multidetector computed tomographic (MDCT) angiography. The study included a series of 57 patients, mean age 35.46 years, who were diagnosed during their hospitalization at Clinical Department of Neurosurgery, Clinical Center of Serbia, in the period from January 2008 to March 2016. In all patients, the diagnosis was made using MDCT angiography. Two groups of patients were observed. The first group included patients who did not initially present with hemorrhage, while the second group initially presented with hemorrhage. Both groups were treated with medical therapy or a combination of medical therapy with embolization/surgery/radiotherapy. Deep venous drainage (p60 mm, venous dilatation present in the drainage vein (p60 mm, the angle of the casting feeding arteries in the nidus [greater than or equal to]130[degrees] and dilatation and/or venous aneurysm of drainage vessel are predictive for clinical presenting by hemorrhage. Key words: Intracranial arteriovenous malformations--diagnostic imaging; Intracranial arteriovenous malformations--anatomy and histology; Cerebral hemorrhage; Risk factors; Multidetector computer tomography--methods; Angiography--methods