TY - JOUR
T1 - Radiology
T2 - Cardiothoracic Imaging Highlights 2024
AU - Catania, Roberta
AU - Mukherjee, Aprateem
AU - Chamberlin, Jordan H
AU - Calle, Francisco
AU - Philomina, Preethi
AU - Mastrodicasa, Domenico
AU - Allen, Bradley D
AU - Suchá, Dominika
AU - Abbara, Suhny
AU - Hanneman, Kate
N1 - Publisher Copyright:
© RSNA, 2025.
PY - 2025/6
Y1 - 2025/6
N2 - Radiology: Cardiothoracic Imaging publishes research, technical developments, and reviews related to cardiac, vascular, and thoracic imaging. The current review article, led by the Radiology: Cardiothoracic Imaging trainee editorial board, highlights the most impactful articles published in the journal between November 2023 and October 2024. The review encompasses various aspects of cardiac, vascular, and thoracic imaging related to coronary artery disease, cardiac MRI, valvular imaging, congenital and inherited heart diseases, thoracic imaging, lung cancer, artificial intelligence, and health services research. Key highlights include the role of CT fractional flow reserve analysis to guide patient management, the role of MRI elastography in identifying age-related myocardial stiffness associated with increased risk of heart failure, review of MRI in patients with cardiovascular implantable electronic devices and fractured or abandoned leads, imaging of mitral annular disjunction, specificity of the Lung Imaging Reporting and Data System version 2022 for detecting malignant airway nodules, and a radiomics-based reinforcement learning model to analyze serial low-dose CT scans in lung cancer screening. Ongoing research and future directions include artificial intelligence tools for applications such as plaque quantification using coronary CT angiography and growing understanding of the interconnectedness of environmental sustainability and cardiovascular imaging.
AB - Radiology: Cardiothoracic Imaging publishes research, technical developments, and reviews related to cardiac, vascular, and thoracic imaging. The current review article, led by the Radiology: Cardiothoracic Imaging trainee editorial board, highlights the most impactful articles published in the journal between November 2023 and October 2024. The review encompasses various aspects of cardiac, vascular, and thoracic imaging related to coronary artery disease, cardiac MRI, valvular imaging, congenital and inherited heart diseases, thoracic imaging, lung cancer, artificial intelligence, and health services research. Key highlights include the role of CT fractional flow reserve analysis to guide patient management, the role of MRI elastography in identifying age-related myocardial stiffness associated with increased risk of heart failure, review of MRI in patients with cardiovascular implantable electronic devices and fractured or abandoned leads, imaging of mitral annular disjunction, specificity of the Lung Imaging Reporting and Data System version 2022 for detecting malignant airway nodules, and a radiomics-based reinforcement learning model to analyze serial low-dose CT scans in lung cancer screening. Ongoing research and future directions include artificial intelligence tools for applications such as plaque quantification using coronary CT angiography and growing understanding of the interconnectedness of environmental sustainability and cardiovascular imaging.
KW - Artificial Intelligence
KW - Heart Diseases/diagnostic imaging
KW - Humans
U2 - 10.1148/ryct.250064
DO - 10.1148/ryct.250064
M3 - Review article
C2 - 40471074
SN - 2638-6135
VL - 7
JO - Radiology. Cardiothoracic imaging
JF - Radiology. Cardiothoracic imaging
IS - 3
M1 - e250064
ER -