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.
“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.
Coronary artery wall thickness—identified on MRI—is an independent indicator for heart disease risk in women, reported authors of a new study published in the inaugural issue of Radiology: Cardiothoracic Imaging. The findings may serve as an opportunity for early intervention.
“Quantifying facility-level variation in cardiac stress test utilization is important for healthcare systems seeking to improve the efficiency and quality of cardiovascular care,” wrote authors of a recent study published in JACC: Cardiovascular Imaging.
Using dynamic contrast-enhanced MRI, researchers found quantitatively mapping a patient’s blood-brain barrier dysfunction (BBBD) may be valuable for risk stratification and stroke prevention after a transient ischemic attack (TIA).