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 International Society for Magnetic Resonance in Medicine (ISMRM) Board of Trustees also introduced the new editor of its Magnetic Resonance in Medicine journal.

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.

“Despite the common discovery of the (incidental lung nodule) ILN, assessment of radiology reports for lung nodule incidence and guideline concordance of recommendations is understudied,” wrote authors of research published in the Journal of the American College of Radiology.

Recent research has found studies with better diagnostic test accuracy get published quicker, but does that correlation apply to abstracts presented at the RSNA Annual Meeting?

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.

Wide-angle, two-view digital breast tomosynthesis (DBT) offers greater accuracy in breast cancer diagnosis than full-field digital mammography (FFDM), according to a study running in the June edition of the American Journal of Roentgenology.

“The College firmly believes that a solution built upon proven concepts of existing statutes in the states, such as New York, appropriately balances the interests of stakeholders while leaving patients out of the middle,” according to a statement from the ACR.

“To our knowledge, this is the first study analyzing the influence of reading volume on reading performance in a screening program that uses independent double reading of digital mammograms with consensus,” wrote authors of a new study published in Radiology.

The new manufacturing facility will be in full operation this September, and will employ AI and IoT technologies to achieve significant high production efficiency.