A Think Global Health (6/24) article states that annual mammogram screening delays in the current pandemic will only exacerbate the systemic race gap in breast cancer diagnoses for minority women in their forties.
Aunt Minnie (6/24) reports that using artificial intelligence (AI) to analyze breast ultrasound lesions—particularly for lesions classified as BI-RADS 2, 3, and 4A—reduced interpretation time by 49% at a healthcare center in Missouri, according to a presentation at the recent Society for Imaging Informatics in Medicine's (SIIM) virtual meeting.
Aunt Minnie (6/23) reports that digital breast tomosynthesis (DBT) exposed women to significantly less radiation than full-field digital mammography (FFDM) in a study of 200 patients published in the Journal of Medical Radiation Sciences.
Health Imaging (6/19) reports that a team of German doctors retrospectively analyzed a new needle-based detector system—which reduces light scattering and enhances x-ray absorption—in 360 mammograms for their study published in the European Journal of Radiology, which found that the needle-based imaging plate system reduced required dosage by nearly 30% and helped experts view and score key areas on mammograms.
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.