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Related Experiment Video

Updated: Oct 3, 2025

A Magnetic Resonance Imaging-based Computational Protocol for Analysis of Plaque Morphology and Hemodynamics in Patients with Carotid Artery Stenosis
09:36

A Magnetic Resonance Imaging-based Computational Protocol for Analysis of Plaque Morphology and Hemodynamics in Patients with Carotid Artery Stenosis

Published on: August 12, 2025

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Comparative analysis between 1-D, 2-D and 3-D carotid web quantification.

Catarina Perry da Camara1,2, Raul G Nogueira1, Alhamza R Al-Bayati1

  • 1Marcus Stroke & Neuroscience Center, Grady Memorial Hospital, Emory University School of Medicine, Atlanta, Georgia, USA.

Journal of Neurointerventional Surgery
|February 17, 2022
PubMed
Summary
This summary is machine-generated.

Carotid webs (CaW) are a cause of ischemic stroke in young patients. Linear and volumetric measurements of CaW are reproducible and associated with symptoms, but their impact on stroke severity is unclear.

Keywords:
CT angiographyarterystrokevessel wall

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Area of Science:

  • Vascular Neurology
  • Neuroimaging
  • Stroke Etiology

Background:

  • Carotid webs (CaW) are increasingly recognized as a cause of ischemic stroke, particularly in younger individuals.
  • The thromboembolic risk associated with CaW is thought to be influenced by their morphology and effect on blood flow dynamics.

Purpose of the Study:

  • To evaluate the reliability of different measurement methods (1-D, 2-D, 3-D) for quantifying carotid webs.
  • To assess the relationship between CaW measurements and symptomatic status, large vessel occlusion stroke (LVOS), clot burden, and final infarct volume.

Main Methods:

  • Retrospective analysis of a carotid web database from September 2014 to July 2019.
  • Independent review of CT angiograms by two blinded raters for CaW quantification using 1-D, 2-D, and 3-D measurements.
  • Calculation of final infarct volume on MRI; exclusion of patients with superimposed thrombus and no repeat imaging.

Main Results:

  • High inter-rater agreement (0.921-0.937) for all CaW measurement dimensions (1-D, 2-D, 3-D).
  • Symptomatic CaW showed significantly greater mean length (3.2 mm vs. 2.5 mm) and median volume (15.0 mm³ vs. 10.6 mm³) compared to asymptomatic webs.
  • Thinner CaW profiles were more likely to be symptomatic (p=0.01); a weak positive association was found between CaW 1-D and final infarct volume (p<0.05).

Conclusions:

  • Quantification of carotid web dimensions using 1-D, 2-D, and 3-D methods is highly reproducible.
  • Linear and volumetric CaW measurements are more strongly associated with stroke symptoms.
  • The influence of carotid web size on large vessel occlusion, clot burden, and final infarct volume remains uncertain.