Aunt Minnie (3/19) reports that apparent diffusion coefficient (ADC) values obtained from preoperative MRI with diffusion-weighted imaging (DWI) could help determine which women with breast cancer are at greater risk for developing metastasis, according to a study published in Radiology.
Aunt Minnie (3/18) reports on a new study published online in JAMA Internal Medicine is questioning the value of supplemental breast ultrasound.
Aunt Minnie (3/12) reports that a computer-aided detection (CAD) algorithm based on artificial intelligence (AI) proved to be better than traditional CAD in helping radiologists detect breast cancer, according to research presented at the European Congress of Radiology (ECR) 2019 in Vienna.
Axis Imaging News (3/11) reports on a new paper in the Journal of the National Cancer Institute suggests that artificial intelligence (AI) systems may be able to perform breast cancer screening through digital mammography as accurately as radiologists.
Aunt Minnie (3/6, Yee) reports on research published in Investigative Radiology which states that a dedicated breast CT scanner that features a photon-counting detector produces high-quality images at a low radiation dose. The findings indicate that the CT scanner could be a useful tool for breast cancer screening.