Cardiovascular CT and MRI in 2019: Review of Key Articles.
Jonathan D DoddJonathan A LeipsicPublished in: Radiology (2020)
Cardiac imaging is becoming commonplace throughout radiology practices and is increasingly important in large-cohort prospective cardiovascular trials and in statements and guidelines. In this review, the authors summarize some of the most important imaging findings relevant to clinical practice in the past year. Key coronary CT angiography studies have included rigorous meta-analysis of its diagnostic accuracy, prognostic implications of adverse coronary plaque features, and sex differences. The value of CT for catheter-delivered valve implantation (eg, transcatheter aortic and mitral valve replacements) was further elucidated in large-cohort outcome trials. Hypertrophic cardiomyopathy registries have revealed distinct clinical and MRI phenotypes, highlighting different underlying causes, while others clarified the prognostic usefulness of MRI in hypertrophic cardiomyopathy and Fabry disease. Artificial intelligence and/or machine learning was applied to many aspects of cardiovascular imaging, while evidence of the benefits of both adenosine stress perfusion cardiac MRI and coronary CT angiography-derived fractional flow reserve from real-world trials has increased. Studies on vaping and vascular endothelial function and the whole-body MRI depiction of metabolic syndrome consequences were also noteworthy. Although this review focuses on Radiology articles, key articles from high-impact clinical journals are also included. Although not possible to detail all articles because of space limitations, the authors attempted to highlight those with the most pragmatic and scientific value.
Keyphrases
- contrast enhanced
- hypertrophic cardiomyopathy
- artificial intelligence
- left ventricular
- mitral valve
- machine learning
- magnetic resonance imaging
- coronary artery disease
- computed tomography
- magnetic resonance
- high resolution
- diffusion weighted imaging
- clinical practice
- metabolic syndrome
- aortic stenosis
- coronary artery
- big data
- deep learning
- aortic valve
- primary care
- emergency department
- heart failure
- cardiovascular disease
- healthcare
- left atrial
- type diabetes
- insulin resistance
- adipose tissue
- pulmonary artery
- clinical trial
- cardiovascular risk factors
- mass spectrometry
- ejection fraction
- case control
- image quality