Literature DB >> 29590729

Determination of Predictive Anatomic Parameters for Bleeding of Brain Arteriovenous Malformations by Multidetector CT Angiography.

Biljana Milatović1, Goran Tasić2,3, Igor Nikolić2,3, Igor Đorić1, Nikola Repac2, Vuk Šćepanović2, Aleksandar Janićijević2, Krešimir Rotim4,5, Lukas Rasulić2,3.   

Abstract

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 (p<0.05), combined arterial supply from different basins (p<0.05) with a length <60 mm, venous dilatation present in the drainage vein (p<0.01), and the angle of casting sup-ply arteries in the nidus (p<0.01) carry a risk of repeated bleeding. In the group of patients who had initial hemorrhage, the mean value of the casting angle size was 130°, while in the group that did not have initial bleeding the mean value of the measured angle size was 103.81° with standard deviation of 17.21° (p<0.01). In conclusion, AVMs with deep venous drainage from the carotid and vertebrobasilar basin, the length of the feeding arteries <60 mm, the angle of the casting feeding arteries in the nidus ≥130° and dilatation and/or venous aneurysm of drainage vessel are predictive for clinical presenting by hemorrhage.

Entities:  

Keywords:  Angiography – methods; Cerebral hemorrhage; Intracranial arteriovenous malformations – anatomy and histology; Intracranial arteriovenous malformations – diagnostic imaging; Multidetector computer tomography – methods; Risk factors

Mesh:

Year:  2017        PMID: 29590729     DOI: 10.20471/acc.2017.56.04.21

Source DB:  PubMed          Journal:  Acta Clin Croat        ISSN: 0353-9466            Impact factor:   0.780


  1 in total

1.  GIANT CAVERNOUS MALFORMATION WITH UNUSUALLY AGGRESSIVE CLINICAL COURSE: A CASE REPORT.

Authors:  Jovan Grujić; Vladimir Jovanović; Goran Tasić; Andrija Savić; Aleksandra Stojiljković; Siniša Matić; Milan Lepić; Krešimir Rotim; Lukas Rasulić
Journal:  Acta Clin Croat       Date:  2020-03       Impact factor: 0.932

  1 in total

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