Aims: Quantitative rest-stress myocardial perfusion in millilitres per minute per gram among multiple 2D and 3D positron emission tomography-computed tomography (PET-CT) scanners is essential for personalized cardiac management and clinical trials. Accordingly, this study reports the accuracy and precision of quantitative rest-stress millilitres per minute per gram and coronary flow capacity among 2D and two different digital 3D silicon photomultiplier (SiPM) PET-CT scanners for quantifying the severity of coronary pathophysiology for clinical trials or guiding interventions vs. medical treatment.
View Article and Find Full Text PDFIn heart failure, sympathetic overdrive is evidenced by norepinephrine spillover, receptor level changes, etc. Beta-blockers continue to be the cornerstone of treatment in patients with chronic heart failure due to their ability to counteract sympathetic overdrive. Extensive clinical research has demonstrated that long-term beta-blocker treatment with metoprolol succinate, carvedilol, or bisoprolol enhances left ventricular function and reverses left ventricular remodeling, decreases hospitalization risk, and increases survival.
View Article and Find Full Text PDFCoronary artery calcium (CAC) scans contain valuable information beyond the Agatston Score which is currently reported for predicting coronary heart disease (CHD) only. We examined whether new artificial intelligence (AI) applied to CAC scans can predict non-CHD events, including heart failure, atrial fibrillation, and stroke. We applied AI-enabled automated cardiac chambers volumetry and calcified plaque characterization to CAC scans (AI-CAC) of 5830 asymptomatic individuals (52.
View Article and Find Full Text PDFBackground: Robust and accurate prediction of cardiovascular disease (CVD) risk facilitates early intervention to benefit patients. The intricate relationship between mental health disorders and CVD is widely recognized. However, existing models often overlook psychological factors, relying on a limited set of clinical and lifestyle parameters, or being developed on restricted population subsets.
View Article and Find Full Text PDFInt J Cardiol Heart Vasc
August 2024
Background And Aims: Cardiac ParaGangliomas (PGLs) are rare extra-adrenal tumours that arise from chromaffin cells of the sympathetic ganglia. PGL are often diagnosed incidentally, with no symptoms or symptoms related to cardiovascular dysfunction.
Methods: Cardiac Computed Tomography (CCT) and Cardiac Magnetic Resonance (CMR) can detect the correct morphology and position of the lesion and provide proper tissue characterization.
Background: Clinical outcomes of patients presenting with STEMI are significantly improved by reducing time from vessel occlusion to coronary blood flow restoration. In an effort to improve outcomes, we developed a secure mobile application, STEMIcathAID, and designed a pilot project implementing the app into the workflow for STEMI patients transfer. The aim of the study is to assess the impact of the app on key metrics for STEMI transfer before (historic) and after app launch.
View Article and Find Full Text PDFBackground: Coronary artery calcium (CAC) scans contain valuable information beyond the Agatston Score which is currently reported for predicting coronary heart disease (CHD) only. We examined whether new artificial intelligence (AI) algorithms applied to CAC scans may provide significant improvement in prediction of all cardiovascular disease (CVD) events in addition to CHD, including heart failure, atrial fibrillation, stroke, resuscitated cardiac arrest, and all CVD-related deaths.
Methods: We applied AI-enabled automated cardiac chambers volumetry and automated calcified plaque characterization to CAC scans (AI-CAC) of 5830 individuals (52.
Calcific aortic valve disease (CAVD) is a widely prevalent heart disorder in need of pharmacological interventions. Calcified areas in aortic valves often contain amyloid fibrils that promote calcification in vitro. This opinion paper suggests that amyloid contributes to CAVD development; amyloid-assisted nucleation can accelerate hydroxyapatite deposition onto collagen matrix.
View Article and Find Full Text PDFBackground: Diet is a key modifiable risk factor of coronary artery disease (CAD). However, the causal effects of specific dietary traits on CAD risk remain unclear. With the expansion of dietary data in population biobanks, Mendelian randomization (MR) could help enable the efficient estimation of causality in diet-disease associations.
View Article and Find Full Text PDFJ Assoc Physicians India
January 2024
Aims: Coronary computed tomography angiography provides non-invasive assessment of coronary stenosis severity and flow impairment. Automated artificial intelligence (AI) analysis may assist in precise quantification and characterization of coronary atherosclerosis, enabling patient-specific risk determination and management strategies. This multicentre international study compared an automated deep learning-based method for segmenting coronary atherosclerosis in coronary computed tomography angiography (CCTA) against the reference standard of intravascular ultrasound (IVUS).
View Article and Find Full Text PDFAcute myocardial infarction stands as a prominent cause of morbidity and mortality worldwide. Clinical studies have demonstrated that the severity of cardiac injury following myocardial infarction exhibits a circadian pattern, with larger infarct sizes and poorer outcomes in patients experiencing morning onset myocardial infarctions. However, the molecular mechanisms that govern circadian variations of myocardial injury remain unclear.
View Article and Find Full Text PDFJ Cardiovasc Comput Tomogr
April 2024
Background: Radiomics is expected to identify imaging features beyond the human eye. We investigated whether radiomics can identify coronary segments that will develop new atherosclerotic plaques on coronary computed tomography angiography (CCTA).
Methods: From a prospective multinational registry of patients with serial CCTA studies at ≥ 2-year intervals, segments without identifiable coronary plaque at baseline were selected and radiomic features were extracted.