Aunt Minnie (5/31) reports that machine learning can reduce a radiologists workload by lowering the number of screening mammograms they’re required to read while preserving accuracy, according to results of a feasibility study published in the Journal of the American College of Radiology.
Aunt Minnie (5/30) reports that physician turnover and reduced clinical hours due to burnout cost the U.S. approximately $4.6 billion per year, according to a study published in the Annals of Internal Medicine.
Aunt Minnie (5/29) reports that risk-based breast cancer screening isn't necessarily more effective – on a clinical or cost basis – if women don't choose to get screened at high enough rates, according to a study from Germany published online May 23 in PLOS One.
Health Imaging (5/28) reports on a new study published in Radiology that suggests that annual reading volumes between 4,000 and 10,000 mammograms may produce the highest performance among screening programs with independent double reading. Further, cumulative reading volumes of more than 20,000 mammograms resulted in peak radiologic performance.
Radiology Business (5/28) reports that 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.