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.
New findings support the routine use of deep learning-based risk assessments, as this method can decrease subjectivity, reduce unnecessary imaging and improve diagnostic accuracy.
The 4D system harnesses X-ray diffraction to measure molecular-level signatures of disease; these tissue “fingerprints” could help providers diagnose breast cancer in its earliest stages.
The new policy applies to all health plans across Pennsylvania, New York, West Virginia and Delaware, “removing financial barriers for essential breast cancer diagnostics.”
The group was recently asked to provide input on a new set of recommendations for image-guided biopsies of suspicious breast lesions—offering providers clarity on key clinical scenarios.
Published Friday in JAMA, scientists recently explored a risk-based mammography tactic that tailors regular imaging regimens to each individual’s danger of developing the disease.
In some cases, it may actually be more beneficial for this group of women to forego the extra scans, as they can lead to additional testing, costs and potentially delays in care.
Between 20% to 24% of all breast cancers diagnosed during a decade-long period were found in women between the ages of 18 to 49, according to research presented at RSNA 2025.
During an education session at RSNA 2025, several experts who contributed to the manual spoke on what has changed and how these revisions will affect providers.