Women’s imaging encompasses many radiology procedures related to women and the diseases that are most prevalent to women such as breast cancer or gynecological issues. Mammogram, breast ultrasound, breast MRI and breast biopsy are the most commonly used procedures.
It is widely agreed that women with dense breast tissue should undergo supplemental imaging in addition to their routine mammogram screening, but the jury is still out on which modality is best for cancer detection in this group.
Gov. Ron DeSantis recently signed S.B. 158 into law following its approval by the Florida legislature, while Ohio lawmakers also have proposed a similar bill.
Arlene Sussman, MD, medical director with vRad, explains a telebreast imaging system that allows patients direct video consults with a remote radiologist just after their exams to increase personalized care and answer questions immediately.
These findings could be beneficial for women with dense breasts, which increase the risk of developing cancer while making it significantly more difficult to detect.
Researchers have demonstrated a deep learning model that can correct course for breast radiologists who otherwise may have erroneously deemed tissue dense in screening exams.
Post-treatment changes may mask some of the subtle, early signs of recurring breast cancer on traditional mammography, an Academic Radiology editorial explains.
Computer-aided detection boosted by AI has often proven superior to traditional CAD over the past decade, yet the “new way” has been slow to win broad adoption.
Assessing more than 11,000 patients with lesions designated as BI-RADS 4, radiologists using digital breast tomosynthesis found no significant diagnostic advantages over standard 2D mammography.
Providers screening women with dense breasts and benign breast disease should consider individualized mammogram protocols for these patients, authors of the study suggested.
The FDA has OK’d two subsidiaries of Los Angeles-based RadNet to sell medical AI software—one product for diagnosing breast cancer, the other for streamlining MRI prostate reporting workflows.
Combining ensemble AI models with reads from breast radiologists of mixed experience levels can help health systems consistently diagnose malignant architectural distortion on mammography.