Cardiac MRI

Catch up on the top radiology content of the past week.

The artificial intelligence (AI)-powered Ezra Flash reportedly enhances magnetic resonance imaging (MRI) and enables significant reductions in scan times and costs for full-body MRI.

Conditional use of full-body magnetic resonance imaging (MRI) is reportedly permitted for patients using any of the models for the remede® System, an implantable nerve stimulation therapy indicated for the treatment of adults with moderate to severe central sleep apnea.

Catch up on the top radiology content of the past week.

Catch up on the top radiology content of the past week.

In a recent video interview, David Ouyang, M.D., shared insights from two recent studies he co-authored on the use of artificial intelligence (AI) to improve initial assessment of left ventricular ejection fraction (LVEF) on echocardiography and ascertain cardiac risks associated with changes in the left ventricle sphericity index seen on magnetic resonance imaging (MRI).

Catch up on the top radiology content of the past week.

Researchers suggested that overnight use of a power-save mode on outpatient magnetic resonance imaging (MRI) devices in the United States could reduce annual energy consumption by 76,288.2 megawatt hours (MWh) and add up to $10.7 million in cost savings.

Lamenting a lack of control over imaging requests from referring clinicians, this author suggests that a more collaborative approach between referrers and radiologists may facilitate more efficient use of imaging.

Catch up on the top radiology content of the past week.

Offering built-in safety features and independent verification of magnetic resonance imaging (MRI) compatibility with cardiac devices such as pacemakers or implantable cardioverter defibrillator systems, the MRI Care Pathway app may enhance the efficiency of radiology workflows for MRI scans in patients with these devices.

Catch up on the top radiology content of the past week.

Consensus recommendations from the Society for Cardiovascular Magnetic Resonance provide pertinent insights on the unique abilities of cardiac magnetic resonance imaging (MRI) to provide optimal characterization of myocardial tissue and diagnosis of COVID-19-related myocardial injuries.

In the study of 119 patients who had endovascular treatment for intracranial atherosclerotic stenosis, multivariable analysis revealed that post-op ischemic brain lesions on diffusion-weighted magnetic resonance imaging (MRI) were 3.6 times more likely to occur in patients who smoke cigarettes and 2.9 times more likely in patients who had multiple operative attempts.

Catch up on the top radiology content of the past week.

Emerging research suggests that cardiac MRI findings of late gadolinium enhancement, native T1 values and extracellular volume fraction may predict sudden cardiac death-related events in patients with nonischemic dilated cardiomyopathy.

In a prospective study of over 600 patients, researchers found that magnetic resonance imaging (MRI) had no serious adverse effects upon the detection of tachyarrhythmias with non-MRI conditional implantable cardioverter defibrillators (ICDs).

Check out the top radiology content of the past week.

Catch up on the most well-read magnetic resonance imaging (MRI) articles from 2022.

Catch up on the most well-viewed video interviews from Diagnostic Imaging in 2022.

Touching on a variety of topics in radiology, here are the top five most well-read articles from Diagnostic Imaging in 2022.

Catch up on the top AI-related news and research of the past month.

In a recent video interview, Raymond Y. Kwong, MD, discussed his clinical experience with the Vista.ai (formerly HeartVista) One Click MRI software and recent research, presented at the Radiological Society of North America (RSNA) conference, that revealed a 31 percent decrease in cardiac MRI scan times for patients with cardiomyopathy or structural heart disease.

Recently launched at the Radiological Society of North America (RSNA) conference, the SIGNA Experience reportedly features synergistic technologies and artificial intelligence (AI) advances that help improve the efficiency and quality of magnetic resonance imaging.

Offering more than 70 clinical applications, the next-generation edition of the Advanced Visualization Workspace reportedly includes enhanced liver analysis and artificial intelligence (AI)-powered scoring of early brain infarction noted on computed tomography (CT) scans for patients with ischemic stroke.