Aims: Coronary computed tomography angiography (CCTA) is inferior to intravascular imaging in detecting plaque morphology and quantifying plaque burden. We aim to, for the first time, train a deep-learning (DL) methodology for accurate plaque quantification and characterization in CCTA using near-infrared spectroscopy-intravascular ultrasound (NIRS-IVUS).
Methods And Results: Seventy patients were prospectively recruited who underwent CCTA and NIRS-IVUS imaging.
Background: Advances in coronary computed tomography angiography (CCTA) reconstruction algorithms are expected to enhance the accuracy of CCTA plaque quantification. We aim to evaluate different CCTA reconstruction approaches in assessing vessel characteristics in coronary atheroma using intravascular ultrasound (IVUS) as the reference standard.
Methods: Matched cross-sections (n = 7241) from 50 vessels in 15 participants with chronic coronary syndrome who prospectively underwent CCTA and 3-vessel near-infrared spectroscopy-IVUS were included.
Objective: The study aimed to determine the predictors of procedural failure (coronary cannulation) in patients undergoing coronary angiography ± percutaneous coronary intervention (PCI) from the transradial (TR) approach.
Methods: We conducted an observational study of 20,315 consecutive patients undergoing TR angiography between 2016 and 2020. TR failure was described as inability to cannulate the coronary arteries.
Objectives: The clinical environment has been forced to adapt to meet the unprecedented challenges posed by the COVID-19 pandemic. Intensive care facilities were expanded in anticipation of the pandemic where the consequences include severe delays in elective procedures. Emergent procedures such as Percutaneous Coronary Intervention (PCI) in acute myocardial infarction (AMI) in which delays in timely delivery have well established adverse prognostic effects must also be explored in the context of changes in procedure and public behaviour associated with the COVID-19 pandemic.
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