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Cardiac Imaging: Page 53
CCTA biomarker spots high-risk plaques in heart disease
By
Abraham Kim
An increase in pericoronary adipose tissue attenuation -- a biomarker associated with inflammation -- on coronary CT angiography (CCTA) scans was associated with vulnerable plaques and may help predict the risk of heart disease, according to an article published online July 18 in
JAMA Cardiology
.
July 17, 2018
Cardiac MRI offers prognosis for hard-to-find infarctions
By
Wayne Forrest
Cardiac MRI can play a critical role in helping to determine which patients suspected of having stable coronary artery disease could have an unrecognized myocardial infarction and an increased risk of an adverse cardiac event, according to a study published online recently in
PLOS One
.
July 17, 2018
FDA clears Zebra Medical's CAC scoring software
By
AuntMinnie.com staff writers
Big-data visualization software developer Zebra Medical Vision has received U.S. Food and Drug Administration (FDA) clearance for its Coronary Calcium Scoring software algorithm for calculating coronary artery calcium (CAC) scores from CT scans.
July 12, 2018
USPSTF dismisses CAC for heart disease risk assessment
By
Abraham Kim
The U.S. Preventive Services Task Force (USPSTF) has reaffirmed its recommendation against using nontraditional factors -- including coronary artery calcium (CAC) score -- to assess the risk of heart disease, in a statement published online July 10 in the
Journal of the American Medical Association
.
July 10, 2018
4D CT compares well with 4D MRI for the heart
By
AuntMinnie.com staff writers
Researchers from Sweden found that 4D CT provided heart-flow patterns and measurements similar to those from 4D MRI, with shorter acquisition time and improved spatial resolution, according to an article recently published online in
Radiology
.
July 9, 2018
Cardiac hybrid imaging predicts adverse cardiac events
By
Abraham Kim
A cardiac hybrid imaging technique that fuses SPECT myocardial perfusion imaging with coronary CT angiography scans can help predict major adverse cardiac events in patients suspected of having coronary artery disease, according to a study published online July 3 in
Radiology
.
July 3, 2018
Are patients with cardiac devices missing out on MRI?
By
Brian Casey
Many patients who have older implanted cardiac devices are not getting brain and spine MRI scans, even though recent studies have shown that MRI can be safely performed on people with these legacy devices. That's according to a new article published July 2 in
JAMA Neurology
.
July 1, 2018
HeartFlow wins UnitedHealthcare contract
By
AuntMinnie.com staff writers
UnitedHealthcare has agreed to cover cardiovascular software developer HeartFlow's HeartFlow FFR-CT Analysis fractional flow reserve (FFR) software, which helps physicians diagnose and treat people suspected of having coronary artery disease.
June 28, 2018
CCTA reduces unnecessary invasive coronary procedures
By
Abraham Kim
Using coronary CT angiography (CCTA) instead of SPECT myocardial perfusion imaging to diagnose coronary artery disease can significantly reduce the number of patients referred for invasive procedures, according to an article published online in
Scientific Reports
.
June 28, 2018
VR, AR may revamp cardiovascular imaging
By
Abraham Kim
Advances in virtual reality (VR) and augmented reality (AR) have prompted new developments in cardiovascular imaging that may improve clinician training as well as patient care and outcomes, according to a review article in the June issue of
JACC: Basic to Translational Science
.
June 27, 2018
SNMMI: AI enables stress-first SPECT MPI protocol
By
Erik L. Ridley
PHILADELPHIA - Artificial intelligence (AI) analysis of stress SPECT myocardial perfusion imaging (MPI) can be highly sensitive for all types of coronary artery disease, according to research presented Tuesday at the Society of Nuclear Medicine and Molecular Imaging (SNMMI) annual meeting.
June 26, 2018
Bay Labs: AI software less variable than doctors for EF
By
AuntMinnie.com staff writers
Artificial intelligence (AI) software developer Bay Labs announced that its EchoMD AutoEF deep-learning software has less variability in evaluating left ventricular ejection fraction (EF) when compared with the average variability of cardiologists, as demonstrated in a study conducted with the Minneapolis Heart Institute.
June 24, 2018
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