Quantitative flow ratio (QFR) outperformed coronary angiography in calculating fractional flow reserve (FFR), a measurement key to determining heart blockages, according to a study in the Journal of the American Heart Association.
Myocardial delayed enhancement (MDE) CT rivaled late gadolinium enhanced (LGE) MRI in the detection and classification of myocardial scar in patients with heart failure, according to a recent Radiology study. The results may help identify features of chronic heart failure.
Patients with retrievable inferior vena cava (IVC) filters used to prevent venous thromboembolisms face increased complication risks the longer their device remains in the body. Researchers created an informatics tool to address the issue.
Patients with stable coronary artery disease (CAD) monitored with either cardiac MR (CMR) or angiography demonstrated no difference in impact rates over three years, according to a recent JACC: Cardiovascular Imaging study.
In those tested for coronary artery disease, research published July 3 in Radiology suggests that cardiac hybrid imaging with CT imaging and nuclear stress testing may be an effective predictor of heart attack risk and other adverse cardiac events.
A majority of cardiovascular implantable electronic devices (CIEDs) in the U.S. are still MR-nonconditional, but a pair of neurologists believe hospitals need to assess their institutional policy to ensure patients have access to MRIs when needed.
A deep-learning software that can automatically calculate left ventricular ejection fraction (LVEF) with less variability than a cardiologist recently received approval from the U.S. Food and Drug Administration (FDA).
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.
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.
Paaladinesh "Dinesh" Thavendiranathan, MD, a scientist at Canada’s Toronto General Hospital Research Institute, recently discussed how cardiac imaging and biomarkers can significantly improve cancer patient care at the American Society of Clinical Oncology (ASCO) annual meeting.
Physicians practicing in states that implemented damage caps for malpractice claims were less likely to use angiography and more likely to use noninvasive stress testing in coronary artery disease patients.
Coronary CT angiography (CTA) is diagnostically accurate in detecting scaffold luminal obstruction, according to a team of international researchers, signaling it may become the preferred method for evaluating patients treated with bioresorbable vascular scaffold (BVS)—but not all experts agree.
Researchers from Germany and the U.K. found quantitative analysis of perfusion cardiac magnetic resonance (CMR) ischemic burden superior to visual analysis in patients with suspected coronary artery disease (CAD), according to a recent Journal of the American College of Cardiology (JACC) study.
In recognition of the increased use of ionizing radiation-based cardiovascular imaging, the American College of Cardiology released a new expert document outlining best practices for minimizing exposure to patients and clinicians.
Global longitudinal strain (GLS), imaged via speckle-tracking, proved a superior predictor of mortality than left ventricular fraction (LVEF) in a study of acute heart failure patients, Cardiovascular Business reports.
In light of the advances of machine learning (ML) in imaging, a team of researchers recently scoured ML-algorithm-based cardiovascular CT progress to offer an understanding of its benefits—and its limitations.
James K. Min, MD, and professor of Radiology and Medicine at Weill Cornell Medicine has been chosen for a five-year term as new editor-in-chief of the Journal of Cardiovascular Computed Tomography (CT).