Quantitative coronary three-dimensional geometry and its association with atherosclerotic disease burden and composition.

MedStar author(s):
Citation: Catheterization & Cardiovascular Interventions. 101(6):1036-1044, 2023 05.PMID: 37017418Institution: MedStar Heart & Vascular InstituteForm of publication: Journal ArticleMedline article type(s): Journal ArticleSubject headings: *Atherosclerosis | *Coronary Artery Disease | *Plaque, Atherosclerotic | Coronary Angiography/mt [Methods] | Coronary Artery Disease/pa [Pathology] | Coronary Vessels/dg [Diagnostic Imaging] | Coronary Vessels/pa [Pathology] | Humans | Predictive Value of Tests | Treatment Outcome | Ultrasonography, Interventional/mt [Methods] | Year: 2023Local holdings: Available online from MWHC library: 1996 - present, Available in print through MWHC library: 1996 - 2006ISSN:
  • 1522-1946
Name of journal: Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & InterventionsAbstract: BACKGROUND: Isolate features of the coronary anatomy have been associated with the pathophysiology of atherosclerotic disease. Computational methods have been described to allow precise quantification of the complex three-dimensional (3D) coronary geometry. The present study tested whether quantitative parameters that describe the spatial 3D coronary geometry is associated with the extension and composition of the underlying coronary artery disease (CAD).CONCLUSIONS: Quantitative 3D vessel morphology emerges as a relevant factor associated with atherosclerosis in patients with established CAD. Copyright © 2023 Wiley Periodicals LLC.METHODS: Patients with CAD scheduled for percutaneous intervention were investigated with coronary computed tomography angiography (CCTA), and invasive coronary angiography, and virtual histology intravascular ultrasound (IVUS-VH). For all target vessels, 3D Centerines were extracted from CCTA images and processed to quantify 23 geometric indexes, grouped into 3 main categories as follows: (i) length-based; (ii) curvature-based, torsion-based, and curvature/torsion-combined; (iii) vessel path-based. The geometric variables were compared with IVUS-VH parameters assessing the extent and composition of coronary atherosclerosis.RESULTS: A total of 36 coronary patients (99 vessels) comprised the study population. From the 23 geometric indexes, 18 parameters were significantly (p < 0.05) associated with at least 1 IVUS-VH parameter at a univariate analysis. All three main geometric categories provided parameters significantly related with atherosclerosis variables. The 3D geometric indexes were associated with the degree of atherosclerotic extension, as well as with plaque composition. Geometric features remained significantly associated with all IVUS-VH parameters even after multivariate adjustment for clinical characteristics.All authors: A Prado GF, Almeida BO, Ares GD, Barbato E, Blanco PJ, Bulant CA, Caixeta A, Garcia-Garcia HM, Garzon S, Lemos PA, Mahfoud F, Mariani J JrFiscal year: FY2023Digital Object Identifier: Date added to catalog: 06/01/2023
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Item type Current library Collection Call number Status Date due Barcode
Journal Article MedStar Authors Catalog Article 37017418 Available 37017418

Available online from MWHC library: 1996 - present, Available in print through MWHC library: 1996 - 2006

BACKGROUND: Isolate features of the coronary anatomy have been associated with the pathophysiology of atherosclerotic disease. Computational methods have been described to allow precise quantification of the complex three-dimensional (3D) coronary geometry. The present study tested whether quantitative parameters that describe the spatial 3D coronary geometry is associated with the extension and composition of the underlying coronary artery disease (CAD).

CONCLUSIONS: Quantitative 3D vessel morphology emerges as a relevant factor associated with atherosclerosis in patients with established CAD. Copyright © 2023 Wiley Periodicals LLC.

METHODS: Patients with CAD scheduled for percutaneous intervention were investigated with coronary computed tomography angiography (CCTA), and invasive coronary angiography, and virtual histology intravascular ultrasound (IVUS-VH). For all target vessels, 3D Centerines were extracted from CCTA images and processed to quantify 23 geometric indexes, grouped into 3 main categories as follows: (i) length-based; (ii) curvature-based, torsion-based, and curvature/torsion-combined; (iii) vessel path-based. The geometric variables were compared with IVUS-VH parameters assessing the extent and composition of coronary atherosclerosis.

RESULTS: A total of 36 coronary patients (99 vessels) comprised the study population. From the 23 geometric indexes, 18 parameters were significantly (p < 0.05) associated with at least 1 IVUS-VH parameter at a univariate analysis. All three main geometric categories provided parameters significantly related with atherosclerosis variables. The 3D geometric indexes were associated with the degree of atherosclerotic extension, as well as with plaque composition. Geometric features remained significantly associated with all IVUS-VH parameters even after multivariate adjustment for clinical characteristics.

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