Morphological characteristics associated with the rupture risk of mirror posterior communicating artery aneurysms

Guang-Xian Wang1, Jun Liu2, You-Qiang Chen3

  • 1Department of Radiology, Xinqiao Hospital, Third Military Medical University, Chongqing, China.

Abstract

Insights

Aspect ratio (AR) and size ratio (SR) are key predictors for ruptured posterior communicating artery aneurysms (PComAAs). These morphological parameters, specifically AR ≥ 0.98 and SR ≥ 1.21, can help identify rupture risk in PComAAs.

Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Intracranial aneurysms (IAs) pose a rupture risk.
  • Patient-related factors and IA location can introduce bias in rupture risk studies.
  • Mirror posterior communicating artery aneurysms (PComAAs) offer a specific model for investigating rupture.

Purpose of the Study:

  • To identify morphological parameters associated with the rupture of mirror PComAAs.
  • To differentiate between ruptured and unruptured PComAAs based on morphology.

Main Methods:

  • CT angiography was used to diagnose 68 patients with mirror PComAAs.
  • Morphological characteristics including aspect ratio (AR) and size ratio (SR) were analyzed.
  • Logistic regression and ROC curve analysis identified independent risk factors and optimal thresholds.

Main Results:

  • Aspect ratio (AR) and size ratio (SR) were significantly associated with ruptured PComAAs.
  • The optimal thresholds for AR and SR predicting rupture were 0.98 and 1.21, respectively.
  • AR (OR 5.623) and SR (OR 5.570) showed strong predictive value.

Conclusions:

  • Mirror PComAAs serve as a valuable model for studying PComAA rupture risk.
  • AR (≥0.98) and SR (≥1.21) are robust predictors of PComAA rupture.
  • Morphological analysis of PComAAs can aid in assessing rupture potential.

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