TY - JOUR
T1 - Novel Techniques in Imaging Congenital Heart Disease
T2 - JACC Scientific Statement
AU - Sachdeva, Ritu
AU - Armstrong, Aimee K.
AU - Arnaout, Rima
AU - Grosse-Wortmann, Lars
AU - Han, B. Kelly
AU - Mertens, Luc
AU - Moore, Ryan A.
AU - Olivieri, Laura J.
AU - Parthiban, Anitha
AU - Powell, Andrew J.
N1 - Publisher Copyright:
© 2024 American College of Cardiology Foundation
PY - 2024/1/2
Y1 - 2024/1/2
N2 - Recent years have witnessed exponential growth in cardiac imaging technologies, allowing better visualization of complex cardiac anatomy and improved assessment of physiology. These advances have become increasingly important as more complex surgical and catheter-based procedures are evolving to address the needs of a growing congenital heart disease population. This state-of-the-art review presents advances in echocardiography, cardiac magnetic resonance, cardiac computed tomography, invasive angiography, 3-dimensional modeling, and digital twin technology. The paper also highlights the integration of artificial intelligence with imaging technology. While some techniques are in their infancy and need further refinement, others have found their way into clinical workflow at well-resourced centers. Studies to evaluate the clinical value and cost-effectiveness of these techniques are needed. For techniques that enhance the value of care for congenital heart disease patients, resources will need to be allocated for education and training to promote widespread implementation.
AB - Recent years have witnessed exponential growth in cardiac imaging technologies, allowing better visualization of complex cardiac anatomy and improved assessment of physiology. These advances have become increasingly important as more complex surgical and catheter-based procedures are evolving to address the needs of a growing congenital heart disease population. This state-of-the-art review presents advances in echocardiography, cardiac magnetic resonance, cardiac computed tomography, invasive angiography, 3-dimensional modeling, and digital twin technology. The paper also highlights the integration of artificial intelligence with imaging technology. While some techniques are in their infancy and need further refinement, others have found their way into clinical workflow at well-resourced centers. Studies to evaluate the clinical value and cost-effectiveness of these techniques are needed. For techniques that enhance the value of care for congenital heart disease patients, resources will need to be allocated for education and training to promote widespread implementation.
KW - angiography
KW - artificial intelligence
KW - cardiac computed tomography
KW - cardiac magnetic resonance
KW - digital twin technology
KW - echocardiography
UR - http://www.scopus.com/inward/record.url?scp=85180603862&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85180603862&partnerID=8YFLogxK
U2 - 10.1016/j.jacc.2023.10.025
DO - 10.1016/j.jacc.2023.10.025
M3 - Review article
C2 - 38171712
AN - SCOPUS:85180603862
SN - 0735-1097
VL - 83
SP - 63
EP - 81
JO - Journal of the American College of Cardiology
JF - Journal of the American College of Cardiology
IS - 1
ER -