Back to Search Start Over

Proposed competencies for the performance of cardiovascular computed tomography in pediatric and adult congenital heart disease.

Authors :
Jepson, Bryan M.
Rigsby, Cynthia K.
Hlavacek, Anthony M.
Prakash, Ashwin
Priya, Sarv
Barfuss, Spencer
Chelliah, Anjali
Binka, Edem
Nicol, Edward
Ghoshhajra, Brian
Han, B. Kelly
Source :
Journal of Cardiovascular Computed Tomography; Sep2023, Vol. 17 Issue 5, p295-301, 7p
Publication Year :
2023

Abstract

Cardiovascular computed tomography (CCT) is rated appropriate by published guidelines for the initial evaluation and follow up of congenital heart disease (CHD) and is an essential modality in cardiac imaging programs for patients of all ages. However, no recommended core competencies exist to guide CCT in CHD imaging training pathways, curricula development, or establishment of a more formal educational platform. To fill this gap, a group of experienced congenital cardiac imagers, intentionally inclusive of adult and pediatric cardiologists and radiologists, was formed to propose core competencies fundamental to the expert-level performance of CCT in pediatric acquired and congenital heart disease and adult CHD. The 2020 SCCT Guideline for Training Cardiology and Radiology Trainees as Independent Practitioners (Level II) and Advanced Practitioners (Level III) in Cardiovascular Computed Tomography (1) for adult imaging were used as a framework to define pediatric and CHD-specific competencies. Established competencies will be immediately relevant for advanced cardiac imaging fellowships in both cardiology and radiology training pathways. Proposed future steps include radiology and cardiology society collaboration to establish provider certification levels, training case-volume recommendations, and continuing medical education (CME) requirements for expert-level performance of CCT in pediatric and adult CHD. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19345925
Volume :
17
Issue :
5
Database :
Supplemental Index
Journal :
Journal of Cardiovascular Computed Tomography
Publication Type :
Academic Journal
Accession number :
173751134
Full Text :
https://doi.org/10.1016/j.jcct.2023.08.002