Mammography

Recent research involving nearly 15,000 mammography exams in patients with a personal history of breast cancer revealed that digital breast tomosynthesis (DBT) was associated with a lower frequency of BI-RADS category 3 assessment and a lower malignancy rate for BI-RADS 3 lesions in comparison to full-field digital mammography.

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Emerging research suggests that 29 percent of patients with index breast magnetic resonance imaging (MRI) exams, 45 percent of Asian women and 30 percent of women living in the highest disadvantaged neighborhoods did not have follow-up imaging after a BI-RADS 3 diagnosis.

Researchers found that ChatGPT offered appropriate responses to 22 out of 25 patient-oriented questions on mammography screening, dense breasts, BI-RADS scoring and other topics related to breast cancer screening and prevention.

Emerging research shows the adjunctive use of automated breast ultrasound with mammography has similar sensitivity for breast cancer detection as adjunctive handheld ultrasound but may offer reduced false-positive rates in women with dense breasts.

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Catch up on the top AI-related news and research in radiology over the past month.

In a recent video interview, Kathy Schilling, M.D., discussed findings from a study of ProFound AI, an adjunctive artificial intelligence (AI) software for digital breast tomosynthesis (DBT), that demonstrated a 23 percent increase in breast cancer detection in comparison to DBT alone.

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In a recent video interview, Amy Patel, M.D., shared her perspective on forthcoming national beast density notification in mammography reporting, emphasized the importance of educating primary care providers on breast density risks, and discussed the ongoing need for coverage of supplemental options for breast cancer screening.

In a recent video interview, Emily Conant, M.D., discussed findings from a large multicenter study highlighting the benefits of digital breast tomosynthesis (DBT) in breast cancer screening.

Newly published retrospective research involving a large database of premenopausal women in Korea showed that women were 64 percent more likely to have dense breasts if their mother and a sister had breast cancer.

In a recent video interview, Wendie Berg, M.D., Ph.D., discussed the newly issued final rule from the Food and Drug Administration (FDA) requiring a national standard for breast density notification (starting on September 10, 2024) as well as its potential impact in mammography reporting and facilitating supplemental screening for patients with dense breasts.

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As part of updates to the Mammography Quality Standards Act (MQSA) of 1992, the Food and Drug Administration (FDA) has issued a final rule that requires the inclusion of breast density assessment in mammography reports starting on September 10, 2024.

Comparing year-long findings with and without adjunctive artificial intelligence (AI) at a breast cancer screening program in Spain, researchers found the combination of digital breast tomosynthesis and AI had a 92.5 percent accuracy for diagnosing cancer in patients with elevated risk.

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New research from the American Cancer Society comparing pre-pandemic cancer screening prevalence to the second year of the COVID-19 pandemic in the United States showed a 1.1 million decrease in breast cancer screenings, a 4.4 million decrease in cervical cancer screening and a 600,000 decrease in prostate cancer screenings.

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In a new study involving over 900,000 women, researchers found the cumulative six-year risk of mammography screening-detected ductal carcinoma in situ (DCIS) increased with shorter screening intervals and age.

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In a new study of 1,232 women diagnosed with breast cancer within a year of a screening mammography exam, researchers found that interval breast cancer was 17 percent more likely in women with dense or extremely dense breasts, and over three times more likely to involve stage 2 or higher primary tumors in comparison to screening-detected breast cancer.

Catch up on the top radiology content of the past week.

Catch up on the top radiology content of the past week.

For premenopausal women with regular menstrual cycles, researchers have found a significant association between the timing of menstrual cycles and the degree of background parenchymal enhancement (BPE) on contrast-enhanced mammography (CEM).

Catch up on the top AI-related news and research of the past month.

In a new survey that examined perceptions of breast cancer risk among more than 1,800 women who had a recent mammogram, 65 percent noted that being overweight or obese was a greater risk factor than breast density, and over a quarter of those interviewed noted they were not aware that they could reduce their breast cancer risk.

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Noting the significant administrative fees for the Independent Dispute Resolution (IDR) process of the No Surprises Act and onerous restrictions that have led to a nearly “non-existent” use of batching of disputed claims in radiology, the American College of Radiology (ACR) has sent formal recommendations to the United States Departments of Health and Human Services, Labor, and Treasury for addressing these issues.

Emerging research suggests combined artificial intelligence (AI) assessment of digital mammography and automated 3D breast ultrasound provides enhanced detection of breast cancer in women with dense breasts and may be a viable alternative in areas where radiologists are scarce.