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 developed a prediction model that takes into account both imaging (post-NAC breast MRI) and clinical-pathologic features when forecasting patients' overall survival.
Of the 51 plans, just 31% were consistent with the USPSTF recommendations pertaining to the starting age and frequency of screening women who are at average risk of developing breast cancer.
Experts have developed an artificial intelligence model that can estimate gestational age with accuracy that rivals that of formally trained sonographers completing fetal biometry scans.
AB-MRI is a cost-effective means of screening women with dense breast tissue for breast cancer—as long as the per-exam costs don’t top 82% of what would have been spent to perform full-protocol breast MRI.
In addition to O-RADS external validation, experts also sought to determine if incorporating acoustic shadowing as a benign finding would improve diagnostic performance.
Researchers reported that the artificial intelligence system was able to interpret more than 114,000 screening mammograms using a reading protocol with high sensitivity and specificity.