Mammography

The AISmartDensity software facilitated a cancer detection rate (CDR) with breast MRI that was nearly four times higher than the CDR previously reported in trials involving traditional breast density assessment.

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The combination of mammography with breast MRI within 90 days had a 96.2 percent sensitivity in comparison to 48.1 percent for mammography and 79.7 percent for breast MRI performed within 91 to 270 days after index mammography, according to newly published research.

Noting significant variation with facilities for achieving passing criteria for mammography positioning, researchers found that structured interventions, ranging from weekly auditing of images taken by technologists to mechanisms for feedback from radiologists to technologists, led to significant improvements in a multicenter study.

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Emerging research suggests that combining full-field digital mammography and whole-breast ultrasound tomography provides superior sensitivity in detecting BI-RADS 4 lesions and superior specificity in diagnosing BI-RADS 3 lesions than mammography alone in women with dense breasts.

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In a study of asymptomatic women at elevated risk for breast cancer, digital breast tomosynthesis (DBT) demonstrated equivalent sensitivity to full-field digital mammography (FFDM) for three out of four reviewing radiologists and detected no additional cancers beyond those detected with FFDM.

Offering comparable sensitivity to radiologists for detecting contralateral breast cancer on mammography images, an emerging adjunctive AI software may also facilitate earlier diagnosis, according to study findings presented at the at the 2024 American Society of Clinical Oncology (ASCO) Annual Meeting.

In a retrospective study involving nearly 119,000 women, researchers found that implementation of AI into mammography screening increased the positive predictive value by 11 percent, increased small cancer detection by 8.3 percent and reduced reading workload by approximately 33 percent.

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Researchers also noted that mammography-based AI software was associated with over a threefold higher likelihood of false-positive risk scores in patients 61 to 70 years of age in comparison to women 51 to 60 years of age.

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In recognition of National Women’s Health Month, Dana Bonaminio, MD, Amy Patel, MD, and Stacy Smith-Foley, MD, shared their thoughts and perspectives on the recently updated breast cancer screening recommendations from the United States Preventive Services Task Force (USPSTF).

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In a recent lecture at the 2024 ARRS Annual Meeting, Jordana Phillips, MD, discussed the role of contrast-enhanced mammography in staging breast cancer, evaluating response to neoadjuvant chemotherapy and recalls from screening.

The presence of fat-enlarged axillary lymph nodes on mammography screening exams is associated with a fourfold higher risk of type 2 diabetes and a 2.6-fold higher risk for cardiovascular disease, according to new research presented at the ARRS Annual Meeting.

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For over 1,200 women with a previous history of breast cancer, interim findings from a prospective trial suggest that adding contrast-enhanced mammography (CEM) to digital breast tomosynthesis (DBT) enhances detection of second malignancies with a limited increase in recalls.

The 10-study meta-analysis demonstrated that contrast-enhanced mammography has a 95 percent sensitivity rate and an 81 percent specificity rate for diagnosing suspicious lesions in women with dense breasts.

In finalized updates to breast cancer screening recommendations, the United States Preventive Services Task Force (USPSTF) advocates biennial mammography screening for women 40 to 74 years of age and notes insufficient evidence for the use of supplemental MRI in women with dense breasts.

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One of the recommendations from the European Society of Breast Imaging (EUSOBI) is annual breast MRI exams starting at 25 years of age for women deemed to be at high risk for breast cancer.

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Artificial intelligence (AI) assessment of mammography images may significantly enhance the prediction of invasive breast cancer and ductal carcinoma in situ (DCIS) in women with breast cancer, according to new research presented at the Society for Breast Imaging (SBI) conference.