Coronary computed tomography angiography (CTA) is the current go-to for triaging chest pain patients in the emergency department (ED), but a recent study found the often-overlooked stress echocardiography (SE) may actually be safer and provide patients with a better overall experience.

The “often overlooked” strategy of stress echocardiography outperformed coronary CT angiography (CTA) in a randomized trial of low to intermediate-risk patients with acute chest pain, resulting in fewer hospitalizations, shorter stays and similar midrange safety outcomes.

Machine learning can accurately predict survival after echocardiography by analyzing unique data produced from heart images and electronic health record (EHR) information, according to a recent study in the Journal of the American College of Cardiology: Cardiovascular Imaging.

A new vascular imaging technique—coronary ultrafast Doppler angiography (CUDA)—can accurately and noninvasively map the intramyocardial coronary structure and quantify fluctuations in intramural coronary blood flow.

Machine learning models using echocardiographic data and variables from the electronic health record (EHR) can significantly improve mortality predictions compared to traditional risk scores, researchers reported in JACC: Cardiovascular Imaging.

The U.S. Preventive Services Task Force (USPSTF) issued a Grade D recommendation against screening with resting or exercise electrocardiography (ECG) to prevent cardiovascular disease events in asymptomatic adults at low risk of CVD events.

CT angiography (CTA), coupled with fractional flow reserve (FFR), demonstrated an ability to detect functionally significant lesions in patients with multivessel coronary artery disease (CAD).

A noninvasive imaging technique combined with fractional flow reserve (FFR) showed the potential to detect functionally significant lesions in patients with multivessel coronary artery disease (CAD), according to a study published June 11 in the Journal of the American College of Cardiology.