Radiology: Cardiothoracic Imaging Highlights 2023.
Gilberto J AquinoDomenico MastrodicasaSamer AlabedShady AbohashemLingyi WenRitu R GillDianna M E BardoSuhny AbbaraKate HannemanPublished in: Radiology. Cardiothoracic imaging (2024)
Radiology: Cardiothoracic Imaging publishes novel research and technical developments in cardiac, thoracic, and vascular imaging. The journal published many innovative studies during 2023 and achieved an impact factor for the first time since its inaugural issue in 2019, with an impact factor of 7.0. The current review article, led by the Radiology: Cardiothoracic Imaging trainee editorial board, highlights the most impactful articles published in the journal between November 2022 and October 2023. The review encompasses various aspects of coronary CT, photon-counting detector CT, PET/MRI, cardiac MRI, congenital heart disease, vascular imaging, thoracic imaging, artificial intelligence, and health services research. Key highlights include the potential for photon-counting detector CT to reduce contrast media volumes, utility of combined PET/MRI in the evaluation of cardiac sarcoidosis, the prognostic value of left atrial late gadolinium enhancement at MRI in predicting incident atrial fibrillation, the utility of an artificial intelligence tool to optimize detection of incidental pulmonary embolism, and standardization of medical terminology for cardiac CT. Ongoing research and future directions include evaluation of novel PET tracers for assessment of myocardial fibrosis, deployment of AI tools in clinical cardiovascular imaging workflows, and growing awareness of the need to improve environmental sustainability in imaging. Keywords: Coronary CT, Photon-counting Detector CT, PET/MRI, Cardiac MRI, Congenital Heart Disease, Vascular Imaging, Thoracic Imaging, Artificial Intelligence, Health Services Research © RSNA, 2024.
Keyphrases
- artificial intelligence
- contrast enhanced
- high resolution
- computed tomography
- magnetic resonance imaging
- machine learning
- congenital heart disease
- pulmonary embolism
- deep learning
- left ventricular
- big data
- image quality
- atrial fibrillation
- left atrial
- coronary artery disease
- magnetic resonance
- dual energy
- heart failure
- healthcare
- spinal cord
- type diabetes
- coronary artery
- cardiovascular disease
- diffusion weighted imaging
- fluorescence imaging
- percutaneous coronary intervention
- randomized controlled trial
- risk assessment
- climate change
- acute coronary syndrome
- spinal cord injury
- catheter ablation
- ejection fraction