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).
A recent study found whether a patient received MR angiography (MRA) instead of CT angiography (CTA) for a pulmonary embolism (PE) had little effect on the rate of follow-up chest CT or MRI one year later.
At this year's "Nuclear Cardiology Today: Best Practices for Today, Innovation for Tomorrow" conference in Rosemont, Illinois, sponsored by the American Society of Nuclear Cardiology (ASNC), Paul Cremer, MD, discussed the role of cardiac imaging in cardio-oncology.
Suhny Abbara, MD, a professor of radiology at UT Southwestern Medical Center in Texas, has been named editor of Radiology: Cardiothoracic Imaging, a new journal from the Radiological Society of North America (RSNA).
New findings published in JACC: Cardiovascular Imaging demonstrate how novel imaging tracers can identify infections from implanted cardiac devices (ICDs) before they have to be removed, according to an April 24 article by Cardiovascular Business.
Recent research found strain parameters taken from a cine MRI-based deformable registration algorithm (DRA) can determine the severity of amyloid buildup in the heart and may provide prognostic information on patients with light-chain (AL) amyloidosis.