Cardiovascular Imaging

It can be hard for physicians to identify the damaged artery responsible for a non-ST segment elevation myocardial infarction (NSTEMI). Typically coronary angiography is the first choice, but is it the best?

The new method—cardiac functional MRI (cfMRI)—measures how the heart utilizes oxygen for both healthy patients and those with a form of heart disease.

Deep learning designed to read single photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) can improve the diagnosis of coronary artery disease—a killer of more than 370,000 people in the U.S. annually.

The European Association of Percutaneous Cardiovascular Interventions (EAPCI) has published a clinical guidance statement regarding the use of intra-coronary imaging (IC), sharing the document during its EuroPCR Annual Meeting, May 21-24 in Paris.

A recent decline in myocardial perfusion imaging (MPI) utilization has been attributed to legislative efforts, decreasing reimbursement and consolidation, but is that truly the case?

At one institution wait times for myocardial perfusion tests have jumped from six to 18 weeks in less than a year, according to data from Manitoba Health.

A machine learning algorithm trained to read imaging scans was more accurate at predicting heart attacks or death than expertly trained physicians, according to a study presented at the International Conference on Nuclear Cardiology and Cardiac CT (ICNC) in Lisbon, Portugal, on May 12.

A CT angiography (CTA) approach with "drastically" lowered tube currents combined with iterative construction reduced radiation exposure and maintained image quality in patients with suspected acute stroke, reported authors of a recent study published in the American Journal of Roentgenology.

“For CCTA to enter the mainstream of diagnostic clinical care, it is necessary to decrease observer variability and automate key parts of the interpretive process to manage the subjectivity, time-consuming nature, and variability of reader interpretation,” wrote authors of a new study published in the European Journal of Radiology.

“The results of this study demonstrate proof of the concept that DL models may aid in the prediction of thrombolysis outcomes,” wrote authors of an April 30 study published in Academic Radiology.

“With imaging, we’ll be able to identify vulnerable plaque, deliver treatment directly to it, and see whether the treatment is effective," said award recipient Yongjian Liu, PhD, with Washington University in St. Louis.

Nearly a quarter of CT pulmonary angiography (CTPA) orders did not align with scoring system guidelines for evaluating potential pulmonary embolism (PE) in the emergency department, according to a single-center study published in the Journal of the American College of Radiology.