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Geometric and density relationships of calcification clusters in carotid atherosclerosis

  • Juul Bierens
  • , Roberta Scicolone
  • , Valentina Nardi
  • , John Benson
  • , Antonella Balestrieri
  • , Antonio Incollu
  • , Jasjit S. Suri
  • , Jae Song
  • , Giuseppe Lanzino
  • , Marianne Eline Kooi
  • , Luca Saba*
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Background: Carotid artery calcification represents a common feature of atherosclerotic plaques. However, the geometric relationships of calcific clusters have not been systematically investigated. This study aimed to develop a geometry-based atlas, independent of symptom status, characterizing the three-dimensional properties of calcium clusters within carotid plaques and quantifying population-level distributions and data-driven couplings between size, shape, and density. Methods: Standardized three-dimensional calcium masks of clinical CT scans were analyzed using connected-component labeling. Extracted features included cluster volume, aspect ratio, eccentricity, compactness, and CT attenuation values (mean μ, standard deviation σ). Associations between cluster features were assessed using Spearman correlations with Benjamini–Hochberg false discovery rate correction. Independent associations were determined using partial Spearman correlation and restricted cubic spline regression. Results: Among 107 plaques, 149 distinct clusters were identified, most frequently presenting as a single elongated cluster (aspect ratio = 2.23). Independent associations (all p < 0.001) were identified for: eccentricity with μ (ρ = −0.39), volume with μ (ρ = 0.47), compactness with μ (ρ = 0.39), and volume with eccentricity (ρ = 0.82). Multi-cluster plaques exhibited smaller mean cluster volume (76.1 vs 359.5 mm 3; p < 0.001) and lower eccentricity (0.5 vs 1.6; p < 0.001) compared with single-cluster plaques. Conclusion: Carotid calcification most frequently manifests as a single elongated cluster, with robust couplings between cluster size, shape, and density. These geometric archetypes provide a quantifiable framework for future biomechanical and biological studies of plaque vulnerability.

Original languageEnglish
Number of pages8
JournalNeuroradiology Journal
DOIs
Publication statusE-pub ahead of print - 1 May 2026

Keywords

  • carotid plaque
  • calcification
  • geometry
  • cluster analysis
  • CT
  • surrogate biomechanics
  • ARTERY PLAQUE CALCIFICATIONS
  • CEREBROVASCULAR ISCHEMIA
  • ASSOCIATION
  • FEATURES

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