Studies have shown that high-risk plaque features (including thin fibrous caps, lipid-rich cores, large plaque volumes, and intraplaque microcalcifications) are closely associated with the occurrence of acute coronary events. CT-derived fractional flow reserve (CT-FFR) is a non-invasive imaging post-processing technique that utilizes artificial intelligence to analyze data obtained from conventional coronary CT angiography (CCTA). FFR-CT technology offers the hemodynamic assessment of coronary lesions, aiding in the prediction of potential cardiovascular risks. This review summarizes the latest research progress on the complex relationship between FFR-CT, plaque characteristics, and hemodynamics, closely linking plaque volume, composition, and distribution with the clinical significance of coronary artery stenosis. It is hoped that these research findings will provide valuable guidance for clinicians, promoting the application of CT in the non-invasive detection of vulnerable plaques, thereby more effectively preventing and managing coronary artery disease. In the future, further optimization of FFR-CT technology and expansion of its clinical application are expected to significantly reduce the incidence and mortality of coronary artery disease, offering new hope for the prevention and treatment of cardiovascular diseases.
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http://dx.doi.org/10.1016/j.jcct.2024.08.008 | DOI Listing |
Circ Genom Precis Med
January 2025
Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston. (S.M.U., K.P., B.T., A.C.F., P.N.).
Background: Earlier identification of high coronary artery disease (CAD) risk individuals may enable more effective prevention strategies. However, existing 10-year risk frameworks are ineffective at earlier identification. We sought to understand how the variable importance of genomic and clinical factors across life stages may significantly improve lifelong CAD event prediction.
View Article and Find Full Text PDFInt J Cardiol Heart Vasc
February 2025
Department of Radiology, Frimley Park Hospital NHS Foundation Trust, Camberley, Surrey, UK.
Background: The National Lung Screening Trial (NLST) has shown that screening with low dose CT in high-risk population was associated with reduction in lung cancer mortality. These patients are also at high risk of coronary artery disease, and we used deep learning model to automatically detect, quantify and perform risk categorisation of coronary artery calcification score (CACS) from non-ECG gated Chest CT scans.
Materials And Methods: Automated calcium quantification was performed using a neural network based on Mask regions with convolutional neural networks (R-CNN) for multiorgan segmentation.
Front Cardiovasc Med
January 2025
Cardiology Department and Experimental Animal Center, Liaocheng People's Hospital of Shandong University and Liaocheng Hospital Affiliated to Shandong First Medical University, Liaocheng, Shandong, China.
Both de Winter syndrome and Wellens syndrome mainly indicate severe stenosis in the proximal segment of the anterior descending coronary artery. However, as research deepens, the accuracy and specificity of diagnosing proximal left anterior descending coronary artery (LAD) culprit lesions separately by de Winter syndrome or Wellens syndrome are challenged. The patient in this case developed both syndromes in a short period of time, and imaging showed significant stenosis of the proximal LAD, indicating a culprit lesion.
View Article and Find Full Text PDFMayo Clin Proc Innov Qual Outcomes
February 2025
CAPITAL Research Group, University of Ottawa Heart Institute, Ottawa, Ontario, Canada.
Objective: To examine the role of noninvasive testing (NIT) before invasive coronary angiography (ICA) by evaluating the association between a positive myocardial perfusion imaging (MPI) or computed tomography angiography (CTA) result and the decision to perform coronary revascularization.
Patients And Methods: We screened all patients who received ICA between August 1, 2015, and July 31, 2019, and identified those who received MPI or CTA within the preceding 12 months. We considered MPI to be a positive result if it found moderate or severe ischemia in a specific coronary territory and CTA to be a positive result if it identified a stenosis greater than 50% in any major coronary artery.
J Educ Health Promot
December 2024
Department of Nursing, School of Nursing and Midwifery, Birjand University of Medical Sciences, Birjand, Iran.
Background: Coronary artery disease (CAD) is the most prevalent heart disease and a leading cause of death among both men and women. It is worth noting that anxiety is highly prevalent among patients with CAD, and it can significantly affect their overall performance and well-being. This study aimed to determine the impact of self-care training, specifically using the teach-back method, on health anxiety in patients with CAD.
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