Objective: To study the relationship between serum advanced fibrinogen and the severity of coronary artery stenosis.
Methods: In a collection of 195 patients suspected of coronary artery disease (CAD), coronary artery stenosis was studied with coronary angiography. The severity of coronary artery disease was quantified with a modified Gensini score on the basis of angiographic imaging manipulation system. Fibrinogen, total cholesterol (TC), triglycerides (TG), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C) and D-dimer were determined in all the patients. After the influences of other risk factors were controlled, the relationship between fibrinogen and severity of CAD was analyzed.
Results: Partial correlation analysis showed that fibrinogen was positively correlated with the severity of CAD (r = 0.293, P < 0.01). Multiple stepwise regression analysis indicated that fibrinogen and age were significant variables associated with the severity of coronary artery disease (F value was 16.89, 15.47, P < 0.01; R was 0.29, 0.38, P < 0.01). All the patients were assigned to one of four groups according to fibrinogen level with 25, 50 and 75 percentile as cut-off points. We found that high fibrinogen level was associated with severe coronary artery disease, particularly in men and in diabetes mellitus patients.
Conclusion: Elevated fibrinogen level is related to the severity of CAD.
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Eur J Radiol
January 2025
Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany. Electronic address:
Objectives: Coronary CT angiography (CCTA) is an excellent tool in ruling out coronary artery disease (CAD) but tends to overestimate especially highly calcified plaques. To reduce diagnostic invasive catheter angiographies (ICA), current guidelines recommend CT-FFR to determine the hemodynamic significance of coronary artery stenosis. Photon-Counting Detector CT (PCCT) revolutionized CCTA and may improve CT-FFR analysis in guiding patients.
View Article and Find Full Text PDFEur Heart J Cardiovasc Imaging
January 2025
National Heart Center Singapore, Singapore, Singapore.
Aims: To identify differences in CT-derived perivascular (PVAT) and epicardial adipose tissue (EAT) characteristics that may indicate inflammatory status differences between post-treatment acute myocardial infarction (AMI) and stable coronary artery disease (CAD) patients.
Methods And Results: A cohort of 205 post-AMI patients (age 59.8±9.
PLoS One
January 2025
Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania, Brazil.
This paper proposes the use of artificial intelligence techniques, specifically the nnU-Net convolutional neural network, to improve the identification of left ventricular walls in images of myocardial perfusion scintigraphy, with the objective of improving the diagnosis and treatment of coronary artery disease. The methodology included data collection in a clinical environment, followed by data preparation and analysis using the 3D Slicer Platform for manual segmentation, and subsequently, the application of artificial intelligence models for automated segmentation, focusing on the efficiency of identifying the walls of the left ventricular. A total of 83 clinical routine exams were collected, each exam containing 50 slices, which is 4,150 images.
View Article and Find Full Text PDFCoron Artery Dis
January 2025
Department of Cardiology and Electrotherapy, Silesian Center for Heart Diseases.
Eur J Prev Cardiol
January 2025
Department of Clinical Sciences and Community Health, University of Milan, Via Commenda 19, Milan 20122, Italy.
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