Medizinische Universität Graz - Research portal

Logo MUG Resarch Portal

Selected Publication:

SHR Neuro Cancer Cardio Lipid Metab Microb

Prado, GFA; Blanco, PJ; Bulant, CA; Ares, GD; Mariani, J; Caixeta, A; Almeida, BO; Garzon, S; Pinton, FA; Barbato, E; Ribichini, FL; Toth, GG; Mahfoud, F; Wijns, W; Garcia-Garcia, HM; Lemos, PA.
Quantitative coronary three-dimensional geometry and its association with atherosclerotic disease burden and composition.
Catheter Cardiovasc Interv. 2023; 101(6): 1036-1044. Doi: 10.1002/ccd.30639
Web of Science PubMed FullText FullText_MUG

 

Co-authors Med Uni Graz
Toth-Gayor Gabor
Altmetrics:

Dimensions Citations:

Plum Analytics:

Scite (citation analytics):

Abstract:
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). 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 centerlines 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. CONCLUSIONS: Quantitative 3D vessel morphology emerges as a relevant factor associated with atherosclerosis in patients with established CAD.
Find related publications in this database (using NLM MeSH Indexing)
Humans - administration & dosage
Ultrasonography, Interventional - methods
Treatment Outcome - administration & dosage
Coronary Artery Disease - pathology
Plaque, Atherosclerotic - administration & dosage
Coronary Angiography - methods
Atherosclerosis - administration & dosage
Coronary Vessels - diagnostic imaging, pathology
Predictive Value of Tests - administration & dosage

Find related publications in this database (Keywords)
coronary artery disease
coronary computed tomography angiography
coronary geometry
geometric risk factors
intravascular ultrasound
© Med Uni GrazImprint