Study Looks at Recall Rates for Digital Breast Tomosynthesis and Digital Mammography
While digital breast tomosynthesis is reportedly more effective at detecting cancer, new research suggests a higher recall rate due to fatigue and less experience in interpreting the images.
AI Assessment of PET/CT May Hold 'Major Promise' for Predicting Heart Attack Risk
New research suggests an emerging machine learning model that combines findings from advanced imaging with clinical data may improve risk stratification in people with coronary artery disease.
How to Address Three Common Issues in Your Mammography Practice
Emerging solutions for improved efficiency, patient comfort and image quality may ease the strain of increased patient volume as women catch up with mammography screenings that were delayed or put off during the COVID-19 pandemic.
Redefining Fibrocystic Changes on Breast MRI: Can It Reduce the Number of Benign Biopsies?
Given the broad range of fibrocystic changes, the authors of a recent study suggest that more precise diagnosis of breast MRIs could significantly reduce unnecessary biopsy procedures.