Morphological, hemodynamic, and clinical independent risk factors for anterior communicating artery aneurysms

Wojciech Kaspera1, Piotr Ładziński2, Patrycja Larysz2

  • 1From the Department of Neurosurgery, Medical University of Silesia, Regional Hospital, Sosnowiec, Poland (W.K., P.Ł., P.L., M.K.); Radiodiagnostic Department (A.H.) and Department of Radiotherapy (D.L.), Maria Skłodowska-Curie Memorial Cancer Center, Institute of Oncology, Gliwice, Poland; and Radiodiagnostic Department, Specialist Hospital, Jaworzno, Poland (K.P.). wkaspera@wp.pl.

Stroke
|August 30, 2014
PubMed

Insights

Smoking, hypertension, and specific anatomical variations are key risk factors for developing anterior communicating artery aneurysms. Understanding these factors, including blood flow pulsatility and vessel angles, aids in predicting and potentially preventing aneurysm formation.

Area of Science:

  • Neuroscience
  • Vascular Surgery
  • Radiology

Background:

  • Cerebral aneurysm pathogenesis remains debated.
  • Anterior communicating artery (ACoA) aneurysms present unique etiological questions.

Purpose of the Study:

  • Identify independent risk factors for ACoA aneurysm development.
  • Investigate morphological, hemodynamic, and clinical contributors.

Main Methods:

  • CT angiography and transcranial sonography in 77 ACoA aneurysm patients and 73 controls.
  • Assessed A1 segment symmetry, A1-A2 angles, tortuosity, diameter, mean velocity, pulsatility index, and flow rate.
  • Multivariate logistic regression analysis to determine independent risk factors.

Main Results:

  • Univariate analysis linked smoking, hypertension, A1 asymmetry, A1-A2 angle, A1 diameter, Vm, pulsatility index, and flow rate to aneurysm occurrence.
  • Multivariate analysis identified smoking (OR 2.04), A1 asymmetry >40% (OR 2.52), low pulsatility index (OR 0.004), and A1-A2 angle ≤100° (OR 4.67) as strong independent risk factors.

Conclusions:

  • ACoA aneurysm risk is multifactorial, involving clinical, morphological, and hemodynamic elements.
  • Strongest independent predictors include smoking, significant A1 asymmetry, low blood flow pulsatility, and specific A1-A2 angles.
Abstract

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