LATEST HEADLINES

May 25, 2018 | Care Delivery
Less than a month after British Health Secretary Jeremy Hunt announced that up to 270 women may have died of breast cancer after a technical error neglected to send 450,000 invites for final routine mammograms, one doctor is warning the number of failed invites may have been closer to 500,000, The Independent reports.
Machine learning techniques perform well when tasked with predicting malignancy in breast lesions identified during breast cone-beam CT (CBCT) exams, according to a new study from German researchers published by the American Journal of Roentgenology. One technique, back propagation neural networks (BPN), outperformed two radiologists.

Latest Articles- Associations

May 25, 2018 | Quality
Adopting a nonrandom peer review process—and abandoning the ACR’s widely accepted RADPEER approach—could identify far more diagnostic errors in imaging studies and afford radiologists an opportunity to learn from theirs and their peers’ mistakes, researchers suggest in the current edition of the Journal of the American College of Radiology.
May 25, 2018 | Healthcare Economics
Breast pain impacts more than half of all women and affects the quality of life of 41 percent of women. Healthcare resources are overutilized to treat these patients, according to a new study published in the American Journal of Roentgenology, suggesting imaging providers should pay closer attention to recommended protocols and referring physicians may need additional education.
Less than a month after British Health Secretary Jeremy Hunt announced that up to 270 women may have died of breast cancer after a technical error neglected to send 450,000 invites for final routine mammograms, one doctor is warning the number of failed invites may have been closer to 500,000, The Independent reports.