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Left Ventricular Hypertrophy and Clinical Outcomes Over 5 Years After TAVR: An Analysis of the PARTNER Trials and Registries Randomized study to evaluate sirolimus-eluting stents implanted at coronary bifurcation lesions Comparison of 1-Year Pre- And Post-Transcatheter Aortic Valve Replacement Hospitalization Rates: A Population-Based Cohort Study Early Rhythm-Control Therapy in Patients with Atrial Fibrillation A Prospective, Multicenter, Randomized, Open-label Trial to Compare Efficacy and Safety of Clopidogrel vs. Ticagrelor in Stabilized Patients with Acute Myocardial Infarction after Percutan eous Coronary Intervention: rationale and design of the TALOS-AMI trial Impact of myocardial fibrosis on left ventricular remodelling, recovery, and outcome after transcatheter aortic valve implantation in different haemodynamic subtypes of severe aortic stenosis Mechanisms of in-stent restenosis after drug-eluting stent implantation: intravascular ultrasound analysis Two-year outcomes following unprotected left main stenting with first vs new-generation drug-eluting stents: the FINE registry. EuroIntervention. Differential prognostic impact of treatment strategy among patients with left main versus non-left main bifurcation lesions undergoing percutaneous coronary intervention: results from the COBIS (Coronary Bifurcation Stenting) Registry II The Year in Cardiovascular Medicine 2020: Coronary Prevention: Looking back on the Year in Cardiovascular Medicine for 2020 in the field of coronary prevention is Professor Ramon Estruch, Dr Luis Ruilope, and Professor Francesco Cosentino. Mark Nicholls meets them
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Review ArticleVolume 12, Issue 6, June 2019

JOURNAL：JACC: Cardiovascular Imaging Article Link

The Future of Cardiovascular Computed Tomography Advanced Analytics and Clinical Insights

ED Nicol, BL Norgaard, P Blanke et al. Keywords: atherosclerosis; cardiac CT; FFRCT; machine learning; radiomics; TMVR

ABSTRACT

Cardiovascular computed tomography (CCT) has undergone rapid maturation over the last decade and is now of proven clinical utility in the diagnosis and management of coronary artery disease, in guiding structural heart disease intervention, and in the diagnosis and treatment of congenital heart disease. The next decade will undoubtedly witness further advances in hardware and advanced analytics that will potentially see an increasingly core role for CCT at the center of clinical cardiovascular practice. In coronary artery disease assessment this may be via improved hemodynamic adjudication, and shear stress analysis using computational flow dynamics, more accurate and robust plaque characterization with spectral or photon-counting CT, or advanced quantification of CT data via artificial intelligence, machine learning, and radiomics. In structural heart disease, CCT is already pivotal to procedural planning with adjudication of gradients before and following intervention, whereas in congenital heart disease CCT is already used to support clinical decision making from neonates to adults, often with minimal radiation dose. In both these areas the role of computational flow dynamics, advanced tissue printing, and image modelling has the potential to revolutionize the way these complex conditions are managed, and CCT is likely to become an increasingly critical enabler across the whole advancing field of cardiovascular medicine.

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