2022 use of coronary computed tomographic angiography for patients presenting with acute chest pain to the emergency department: An expert consensus document of the Society of cardiovascular computed tomography (SCCT): Endorsed by the American College of Radiology (ACR) and North American Society for cardiovascular Imaging (NASCI).
Journal of Cardiovascular Computed Tomography
Coronary computed tomography angiography (CTA) improves the quality of care for patients presenting with acute chest pain (ACP) to the emergency department (ED), particularly in patients with low to intermediate likelihood of acute coronary syndrome (ACS). The Society of Cardiovascular Computed Tomography Guidelines Committee was formed to develop recommendations for acquiring, interpreting, and reporting of coronary CTA to ensure appropriate, safe, and efficient use of this modality. Because of the increasing use of coronary CTA testing for the evaluation of ACP patients, the Committee has been charged with the development of the present document to assist physicians and technologists. These recommendations were produced as an educational tool for practitioners evaluating acute chest pain patients in the ED, in the interest of developing systematic standards of practice for coronary CTA based on the best available data or broad expert consensus. Due to the highly variable nature of medical care, approaches to patient selection, preparation, protocol selection, interpretation or reporting that differs from these guidelines may represent an appropriate variation based on a legitimate assessment of an individual patient's needs.
Maroules CD, Rybicki FJ, Ghoshhajra BB, Batlle JC, Branch K, Chinnaiyan K, et al. 2022 use of coronary computed tomographic angiography for patients presenting with acute chest pain to the emergency department: an expert consensus document of the Society of cardiovascular computed tomography (SCCT): endorsed by the American College of Radiology (ACR) and North American Society for cardiovascular Imaging (NASCI). J Cardiovasc Comput Tomogr. 2023 Mar-Apr;17(2):146-163. doi: 10.1016/j.jcct.2022.09.003. PMID: 36253281.