“For radiologists, who generally perform routine activities, involvement in clinical trials increases their workload and raises human resources issues at hospitals which are already running chronic medical deficits,” wrote authors of a new study published in the European Journal of Radiology.

Clinical decision support (CDS) tools can improve the appropriateness scores of advanced imaging orders when used in clinical practice, according to a single-center analysis published in the American Journal of Roentgenology.

Blockchain could be used to streamline preauthorization, share images between institutions and empower patients. But if healthcare as a whole isn't interested in sharing data, no technology can solve the industry's imaging informatics problems.

A new CT- and PET-imaging-based approach—one that entails applying big data to personalizing treatment protocols—is needed to better identify which head and neck carcinoma (HNC) patient subgroups respond to which specific therapies.

In a world of networked medical devices, it’s not hard to imagine a radiology-heavy cyberattack that is not only malicious but also ingenious.
 

A recent study validating the 2017 version of the ultrasound Liver Imaging Reporting and Data System (US LI-RADS) for detecting hepatocellular carcinoma (HCC) identified a few limitations in its scoring.

“The fact that CAD significantly shortened interpretation time is important, especially if either state or federal legislation ends up mandating, or even recommending, additional screening with US for women with dense tissue on mammograms," wrote Priscilla J. Slanetz, MD, MPH, in an accompanying editorial.

The American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) was originally created to improve patient management and avoid unnecessary fine needle aspiration biopsy in patients with thyroid nodules. However, its clinical use is still questioned.