Breast Imaging

Artificial intelligence scores > 73.5 percent for mammography were associated with over a threefold higher cumulative incidence rate for ipsilateral recurrence of DCIS in women treated with breast-conserving surgery, according to new research.

Employing digital breast tomosynthesis for biopsy guidance facilitated significantly lower radiation dosing than digital mammography guidance with no difference in malignancy rates, according to new research involving over 1,600 patients.

Flagging DBT images that may warrant a more expedited review, the CogNet AI-MT+ platform can reportedly be integrated into existing IT systems to facilitate workflow efficiencies for radiologists.

Wendie Berg, M.D., Stamatia Destounis, M.D., and Amy Patel, M.D., share their thoughts and perspectives on key findings from the Lancet mammography study on AI and interval breast cancer, and how they have incorporated AI into their practices.

In a recent interview, Amy Patel, M.D., discussed key targets in legislation for breast imaging in 2026 and offered advice for breast radiologists seeking to get more involved in advocacy.

In a comparative study involving over 105,000 women, researchers found the use of adjunctive AI for mammography triage resulted in a 16 percent lower rate of invasive interval cancers in comparison to double reading by radiologists without AI.

For young women with breast cancer, peritumoral edema on pre-op breast MRI was associated with over a 3.6-fold higher likelihood for reduced disease-free survival, according to new research.

In a seven study meta-analysis with a total of 493 cases involving high-risk breast lesions, researchers found that contrast-enhanced breast MRI did not miss any cases of invasive breast cancer.