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.
Experts from MIT, where the technology was developed, are optimistic their system can be used by almost anyone, including individuals with no ultrasound experience.
Researchers believe the technique also could have utility for brain, head and neck MRI applications and could eventually be adapted to other imaging modalities as well.
Breast cancer risk scores change over time, with those who go on to develop cancer showing unique patterns that could provide valuable guidance into their diagnostic needs.
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.
Two respected radiology organizations have issued a stark warning on the new recommendations, stating that they risk confusing patients and “may contribute to thousands of additional breast cancer deaths each year.”