Cardiovascular Imaging

Patients who practiced transcendental meditation and cardiac rehabilitation increased their myocardial blood flow by 20.7%.

Not only is MRI-guided intravenous thrombolysis cost-effective, but the approach offers long-term clinical benefits for stroke patients with no known time of onset.

The improved optical coherence tomography approach may help cardiologists distinguish life-threatening plaques from those that are less dangerous.

Adopting a “CTA-for-All” policy helped radiologists detect large vessel occlusion (LVO) and improved outcomes for patients with acute ischemic stroke, according to a recent study published in Stroke.  

The boost in efficiency for measuring such scarring could make it easier for clinicians to overcome the time-consuming process of quantifying late gadolinium enhancement (LGE)—a proven predictor of hypertrophic cardiomyopathy.

Coronary artery calcium scoring has proven to be more predictive of cardiovascular risk than any other biomarker, but quantifying scores via imaging remains a time-consuming and labor-intensive task.

Radiologists from the Netherlands believe deep learning can significantly impact cardiac MRI analysis in the not so distant future, sharing their thoughts in a piece published in the American Journal of Roentgenology.

A recent study published in the New England Journal of Medicine found non-invasive myocardial cardiac MRI performed on par with invasive FFR—once considered the "gold standard" for patients with stable chest pain.

Overall rates of low-value diagnostic cardiovascular testing—including imaging—have dropped over the past 10 years, while rates of high-value, guideline-recommended testing rose slightly.

A newly created four-dimensional virtual catheter technique allows for reproducible, automated estimation of blood flow in patients with congenital bicuspid aortic valve (BAV), reported authors of an Oct. 8 study published in Radiology.

Forty-three members of Congress have signed a letter addressed to CMS Administrator Seema Verma, asking the administration to delay the proposed cuts to myocardial PET scans.

Researchers out of the U.S. have created an AI smartphone app to automatically identify cardiac devices—such as pacemakers—on chest x-rays, describing their process in JACC: Electrophysiology.