Aunt Minnie (6/15) reports on a study from European Radiology which states that lesion classification scheme named after breast MRI pioneer Dr. Werner Kaiser may help prevent anywhere from 45% to 72.5% of unnecessary breast biopsies in high-risk patients, Austrian researchers have found.
Health Imaging (6/12) reports on a study from the Journal of Digital Imaging which states that A new artificial intelligence-based computer-aided detection model can accurately predict breast cancer based on ultrasound images.
Radiology Business (6/9) reports that Pennsylvania has advanced legislation that would require health insurers to cover supplemental MR and ultrasound imaging of women at high risk of breast cancer. State Sen. Bob Mensch, R-Montgomery County, sponsored the bill.
Diagnostic Imaging (6/9) reports that nationwide, 78 percent of hospitals and imaging centers that provide mammography services are once again seeing patients for breast cancer screenings, according to an analyisis from Volpara Solutions, a breast imaging analytics company.
Aunt Minnie reports that a promising new protocol for diffusion-weighted MRI (DWI-MRI) resulted in better image quality and improved signal-to-noise ratio for breast lesions, according to a prospective study published in Radiology: Imaging Cancer.