Six reader studies on digital mammography revealed a pooled sensitivity rate of 80.8 percent for stand-alone artificial intelligence (AI) in comparison to 72.4 percent for radiologist assessment while seven historic cohort studies showed a 75.8 percent pooled sensitivity rate for stand-alone AI versus 72.6 percent for radiologist interpretation of digital mammography.
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The United States Preventive Services Task Force (USPSTF) has drawn praise for lowering the age threshold for initial mammography screening from 50 to 40 years of age in updated draft recommendations for breast cancer screening, but critics warn that biennial screening is not sufficient for higher-risk populations.
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While calling for a universal breast cancer risk assessment by the age of 25, the American College of Radiology (ACR) emphasized that ascertaining screening needs prior to the age of 40 is particularly important in high-risk populations such as Black women, who are 42 percent more likely to die from breast cancer in comparison to non-Hispanic White women.
Regardless of experience level, radiologists are likely to be affected by automation bias when utilizing adjunctive artificial intelligence (AI) for mammography interpretation, according to newly published research.
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Emerging research looking at data from over 414,000 cases of breast cancer deaths suggests that Black women should begin annual mammography screening seven to nine years earlier than White women.
Earlier initiation of imaging after contrast administration with contrast-enhanced mammography may provide better visibility of lesions and conspicuity against background parenchymal enhancement, according to new research presented at the American Roentgen Ray Society (ARRS) 2023 Annual Meeting in Honolulu, Hawaii.
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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.
