Publications by authors named "P de Feyter"
The effect of coronary bifurcation and haemodynamics in prediction of atherosclerotic plaque development: a serial computed tomographic coronary angiographic study.
EuroIntervention
October 2017
Aims: The aim of this study was to examine the effect of the daughter branches on the haemodynamics and the potential prediction of atherosclerotic plaque development as well as the best flow division model for accurate blood flow modelling.
Methods And Results: We analysed computed tomography coronary angiography retrospective data portraying 17 coronary artery bifurcations in 15 patients recruited into the PROSPECT MSCT study. Baseline and three-year follow-up imaging data were used to reconstruct coronary artery anatomy.
Aim: To investigate the efficacy of low-density lipoprotein (LDL) transport simulation in reconstructed arteries derived from computed tomography coronary angiography (CTCA) to predict coronary segments that are prone to progress.
Methods And Results: Thirty-two patients admitted with an acute coronary event who underwent 64-slice CTCA after percutaneous coronary intervention and at 3-year follow-up were included in the analysis. The CTCA data were used to reconstruct the coronary anatomy of the untreated vessels at baseline and follow-up, and LDL transport simulation was performed in the baseline models.
Background: Familial hypercholesterolemia is typically caused by LDL receptor (LDLR) mutations that result in elevated levels of LDL cholesterol (LDL-C). In homozygous FH, the prevalence of aortic valve calcification (AoVC) reaches 100% and is often symptomatic.
Objectives: The objective of this study was to investigate the prevalence, extent, and risk-modifiers of AoVC in heterozygous FH (he-FH) that are presently unknown.
Article Synopsis
- The study aimed to estimate the likelihood of having ≥ 50% coronary stenosis using CT segmental calcium scores (SCS) alongside clinical factors.
- The analysis involved a training sample of 201 patients who underwent both CT calcium scoring and coronary angiography, with findings indicating that certain symptoms and calcification types significantly increased the odds of stenosis.
- A prediction model developed showed good accuracy (ROC curve area of 0.795) and validated successfully in an independent sample, suggesting SCS, in combination with other factors, can effectively predict coronary stenosis risk.