Mammography

Digital breast tomosynthesis (DBT) and synthesized mammography offered a true-positive recall rate of 8.4 per 1,000 women screened vs. 6.2 for digital mammography alone, according to a study involving over 99,000 women.

While the AI software offered nearly equivalent negative predictive value (NPV) to radiologist interpretation of digital mammograms and digital breast tomosynthesis (DBT) images, researchers noted that AI had significantly higher recall rates and false-positive results in patients with intermediate risk.

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A model combining deep learning features and clinical variables demonstrated a 30 percent higher AUC than a clinical model for detecting DCIS and invasive ductal carcinoma from suspicious microcalcifications on mammography, according to a new study.

Over 26 percent of AI-detected future breast cancers and interval breast cancers missed by radiologists were invasive cancers, according to newly published research involving over 42,000 women who had 2D screening mammography.

In a recent interview, Ioannis Sechopoulos, Ph.D, and Sarah D. Verboom, MSc discussed their new research examining the role of certainty in AI mammography screening assessment and the potential impact on workload reduction for radiologists.

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Researchers noted a 78 percent malignancy rate when associated architectural distortion was present on digital breast tomosynthesis (DBT) with highly suspicious masses or microcalcifications.

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Lower proportions of extremely dense breasts and high BRCAT lifetime risk among Black women in comparison to White women may have resulted in a lower likelihood of eligibility for supplemental screening insurance coverage in Pennsylvania, according to new research.

Combining sub-second load times and AI-automated features, the PET/CT Viewer Mode and Mammography Viewer Mode may help address bottlenecks in nuclear medicine imaging and mammography workflows.

In a recent interview, Amy Patel, M.D., discussed new research findings that revealed a 45 percent higher likelihood of mammography screening among women with Medicaid in Missouri due to expanded mammography coverage in the state.

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Mammography detected 82 percent of pregnancy-associated breast cancer in a cohort of women with a high prevalence of extremely dense breasts, according to a new study.

In a recent interview, Jamie Williams, M.D., discussed newly published research findings revealing the impact of high-resolution digital breast tomosynthesis (DBT) on breast cancer detection and recall rates.

In a retrospective review of screening digital breast tomosynthesis (DBT) exams for over 200 women with interval breast cancers, researchers found that AI provided accurate localization of cancers in 32.6 percent of the cases.

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State law changes expanding screening mammography coverage from biennial to annual exams and to women 40 years of age in 2019 also led to a 5 percent higher likelihood of screening for Missouri women with commercial health insurance.

In the second part of a multi-part podcast episode, Stamatia Destounis, MD, Emily Conant, MD and Habib Rahbar, MD, discuss key sequences for abbreviated breast MRI and how it stacks up to other breast cancer screening modalities.

Stay updated with the latest in radiology, including PET, MRI, and AI research, plus essential insights on mammography and cardiac imaging.

While noting no differences in sensitivity, specificity or reading time with adjunctive AI for mammography screening, the authors of a new study noted a 4 percent higher AUC and increased fixation time on lesion regions.