Dense Breasts: Who Needs More Imaging? Dense Breasts: Who Needs More Imaging?
Most states now require informing women that mammograms may not pick up cancers in dense breasts. How does this change breast cancer screening?Georgetown University Family Medicine
(JAMA Network) Researchers compared treatment and survival rates between African American and white women following early detection with mammography of triple-negative breast cancer. African-American women have a higher rate of death from breast cancer compared with white women, a disparity partly explained by a higher rate of this aggressive breast cancer.
This cohort study examines triple-negative breast cancer detection via mammography screening, treatment, and survival rates in African American and white American women.
A recent study found that false positive breast biopsies cost the healthcare system over $2 billion per year. According to the National Cancer Institute, mammograms miss about 20% of breast cancers while one in 10 women receive a false positive result. Jamie Yuccas spoke with researchers at Google and UCLA who have developed an artificial intelligence program to help better diagnose mammograms and biopsies. Dr. Susan Grossman joins "CBS This Morning" to explain the need for the new technology.
AbstractPurpose of ReviewWe review the management for unaffectedBRCA1/2 mutation carriers and the local management of early-stage breast cancer.Recent FindingsFor unaffectedBRCA1/2 mutation carriers, surveillance includes annual magnetic resonance imaging (MRI) and mammogram (MG). Novel imaging modalities, including abbreviated protocol MRI, ultrafast/accelerated MRI, and contrast-enhanced digital mammography are being investigated. Risk-reducing mastectomy (RRM) should be considered, and nipple-areolar sparing mastectomy (NSM) is now an option. Additionally, risk-reducing salpingo-oophorectomy (RRSO) is strongly recommend...
Breast MRI scans found six cases of breast cancer in high-risk women that had...Read more on AuntMinnie.comRelated Reading: AI boosts radiologists' mammography performance CEDM excels as presurgical diagnosis tool in large study Study supports interval MRI for likely benign findings PET/MRI tops MRI in breast lesion comparisons MRI finds breast cancer early in women with family history
Abstract Initial studies suggest that women living in U.S. territories may experience barriers to appropriate breast cancer diagnosis and treatment. Our purpose was to evaluate mammography screening engagement in U.S. territories compared with U.S. states. Women aged 50-74 years in the 2016 Behavioral Risk Factor Surveillance System survey without personal history of breast cancer were included. Proportions of women reporting mammography use were calculated. Multivariable logistic regression models were used to compare self-reported mammography use in U.S. territories with all U.S. states. Our total study populati...
ara Y Abstract BACKGROUND: To compare the breast cancer detection performance in digital mammograms of a panel of three unaided human readers (HR) versus a stand-alone artificial intelligence (AI)-based Transpara system in a population of Japanese women. METHODS: The subjects were 310 Japanese female outpatients who underwent digital mammographic examinations between January 2018 and October 2018. A panel of three HR provided a Breast Imaging Reporting and Data System (BI-RADS) score, and Transpara system provided an interactive decision support score and an examination-based cancer likelihood score. The area...
ConclusionsCancers were predominantly detected in women undergoing preoperative staging of new invasive lobular carcinoma in the contralateral breast, rather than the Medicare rebate ‐eligible high‐risk screening group.
We read Dr Covington ’s concerns regarding the 2017 ACR Appropriateness Criteria® that categorizes molecular breast imaging as usually not appropriate for breast cancer screening . As the lead authors of that guideline, we have re-reviewed and agree with the prose and the ratings based on the available evidence at the time. We have also read with interest the 2019 article “Comparative Benefit-to-Radiation Risk Ratio of Molecular Breast Imaging, Two-Dimensional Full-Field Digital Mammography With and Without Tomosynthesis, and Synthetic Mammography With Tomosynthesis” .
An artificial intelligence (AI) algorithm trained with a large set of mammography...Read more on AuntMinnie.comRelated Reading: CEDM excels as presurgical diagnosis tool in large study WISDOM breast cancer screening study now open to all Digital mammo for microcalcifications: A mixed bag? Are women with depression less likely to get mammograms? AI helps characterize breast masses on ultrasound