Cardiovascular Imaging

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.

The researchers believe utilizing AI to read cardiac MRI scans could save 54 clinician-days per year at each UK health center.

A new machine learning algorithm can determine which stroke patients would benefit from an endovascular thrombectomy based off of CT angiography (CTA) scans, according to new research out of the University of Texas Health Science Center at Houston.

MRI can help diagnose minor stroke and transient ischemic attacks (TIA) in patients who experience symptoms that aren’t always associated with stroke, according to a multi-year study published Sept. 23 in JAMA Neurology.

A new diffusion tensor imaging technique can help predict problems related to dementia in patients with stroke-related small vessel disease, according to research published in Stroke.