Four-dimensional computed tomography angiography analysis of internal carotid arteries opacification at the skull

Julien Ognard1,2,3, Mourad Cheddad El Aouni4,5, Brieg Dissaux4,5

  • 1Neuroradiology Unit, Department of Radiology, University Hospital of Brest, Brest, France. julien.ognard@chu-brest.fr.

Insights

Analyzing internal carotid artery opacification at the skull base can help detect delayed cerebral ischemia after subarachnoid hemorrhage. A nonlinear opacification pattern strongly indicates this condition, aiding early intervention.

Area of Science:

  • Neurology
  • Radiology
  • Medical Imaging

Background:

  • Delayed cerebral ischemia (DCI) is a major complication following subarachnoid hemorrhage (SAH), leading to poor functional outcomes.
  • Vasospasm is a common cause of DCI, necessitating accurate and early detection methods.

Purpose of the Study:

  • To investigate the feasibility of detecting DCI by analyzing arterial opacification of the internal carotid arteries (ICAs) at the skull base.
  • To determine if specific opacification patterns can predict the occurrence of DCI.

Main Methods:

  • An exploratory, retrospective diagnostic accuracy study involving patients with suspected vasospasm after SAH.
  • Four-dimensional computed tomography angiography (4D CTA) was used to assess ICA opacification at the skull base with high temporal resolution (0.15 s).
  • A semi-automated segmentation and wavelet transform analysis, followed by k-means clustering, was applied to opacification curves to identify patterns associated with DCI.

Main Results:

  • The analysis of ICA opacification patterns was feasible in the studied cohort.
  • Two distinct types of opacification curves were identified through k-means clustering.
  • A nonlinear opacification pattern was significantly associated with the presence of DCI (p < 0.001).

Conclusions:

  • Analysis of ICA opacification at the skull base using the described processing method is a viable approach for DCI detection.
  • The identified opacification patterns, particularly the nonlinear type, may aid in the early detection and prevention of DCI.
  • This method shows promise for DCI detection, especially in cases with imaging artifacts from aneurysm treatment materials.
Abstract