2020 SCCT Guideline for Training Cardiology and Radiology Trainees as Independent Practitioners (Level II) and Advanced Practitioners (Level III) in Cardiovascular Computed Tomography: A Statement from the Society of Cardiovascular Computed Tomography.
Andrew D ChoiDustin M ThomasJames LeeSuhny AbbaraRicardo C CuryJonathan A LeipsicChristopher MaroulesPrashant NagpalMichael L SteignerDee Dee WangMichelle Claire WilliamsIrfan ZebTodd C VillinesRon BlanksteinPublished in: Radiology. Cardiothoracic imaging (2020)
Cardiovascular computed tomography (CCT) is a well-validated noninvasive imaging tool with an ever-expanding array of applications beyond the assessment of coronary artery disease. These include the evaluation of structural heart diseases, congenital heart diseases, peri-procedural electrophysiology applications, and the functional evaluation of ischemia. This breadth requires a robust and diverse training curriculum to ensure graduates of CCT training programs meet minimum competency standards for independent CCT interpretation. This statement from the Society of Cardiovascular Computed Tomography aims to supplement existing societal training guidelines by providing a curriculum and competency framework to inform the development of a comprehensive, integrated training experience for cardiology and radiology trainees in CCT. This article is being published synchronously in Radiology: Cardiothoracic Imaging, Journal of Cardiovascular Computed Tomography, and JACC: Cardiovascular Imaging. © 2020 Society of Cardiovascular Computed Tomography. Published by RSNA with permission.
Keyphrases
- computed tomography
- positron emission tomography
- magnetic resonance imaging
- high resolution
- coronary artery disease
- artificial intelligence
- virtual reality
- primary care
- image quality
- public health
- quality improvement
- systematic review
- clinical practice
- left ventricular
- high throughput
- machine learning
- coronary artery bypass grafting
- photodynamic therapy
- acute kidney injury
- aortic stenosis
- fluorescence imaging
- aortic valve
- meta analyses
- emergency medicine