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Automated stenosis estimation of coronary angiographies using end-to-end learning.
Int J Cardiovasc Imaging
January 2025
Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
The initial evaluation of stenosis during coronary angiography is typically performed by visual assessment. Visual assessment has limited accuracy compared to fractional flow reserve and quantitative coronary angiography, which are more time-consuming and costly. Applying deep learning might yield a faster and more accurate stenosis assessment.
View Article and Find Full Text PDFAngiotensin type 1 and type 2 receptors-induced mitochondrial dysfunction promotes ferroptosis in cardiomyocytes.
J Hum Hypertens
January 2025
Geriatrics Center & National Clinical Research Center for Aging and Medicine, Jing'an District Central Hospital of Shanghai, Fudan University, Shanghai, China.
Previous studies suggest that ferroptosis is involved in cardiovascular diseases. The aim of the present study is to investigate the causal relationship between angiotensin II type 1 and type 2 receptors (ATR) activities and mitochondrial dysfunction in induction of cardiomyocyte ferroptosis. Human AC16 cardiomyocytes were first pre-treated with an ATR blockers, before stimulated with angiotensin II (Ang II) for 24 h.
View Article and Find Full Text PDFPrognostic Value of Myocardial CT-ECV in Severe Aortic Stenosis Requiring Aortic Valve Replacement: A Systematic Review and Meta-analysis.
Eur Heart J Cardiovasc Imaging
January 2025
Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
Aim: Computed tomography (CT)-derived extracellular volume fraction (ECV) is a non-invasive method to quantify myocardial fibrosis. Evaluating CT-ECV during aortic valve replacement (AVR) planning CT in severe aortic stenosis (AS) may aid prognostic stratification. This meta-analysis evaluated the prognostic significance of CT-ECV in severe AS necessitating AVR.
View Article and Find Full Text PDFChronic kidney disease as a predictor of long-term adverse cardiovascular outcomes in patients with aortoiliac disease: a prospective cohort study.
J Cardiovasc Surg (Torino)
January 2025
Faculty of Medicine and Biomedical Sciences, Campus of Gambelas, University of Algarve, Faro, Portugal.
Background: Aortoiliac disease poses a significant cardiovascular (CV) risk, especially in individuals with chronic kidney disease. This study aimed to assess the predictive role of chronic kidney disease in long-term major adverse CV events in patients submitted to aortoiliac revascularization due to severe aortoiliac atherosclerotic disease.
Methods: From 2013 to 2023, patients who underwent aortoiliac revascularization for TASC II type D lesions, including those with chronic kidney disease, were selected from a prospective cohort study.
Senescence-related Genes as Prognostic Markers for STEMI Patients: LASSO Regression-Based Bioinformatics and External Validation.
J Cardiovasc Transl Res
January 2025
Clinical Laboratory of Tianjin Chest Hospital, 261 Taierzhuang South Road, Tianjin, 300222, Jinnan District, China.
The prognostic value of differentially expressed senescence-related genes(DESRGs) in ST-segment elevation myocardial infarction(STEMI) patients is unclear. We used GEO2R to identify DESRGs from GSE60993 and performed functional enrichment analysis. We built an optimal prognostic model with LASSO penalized Cox regression via GSE49925.
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