Breast: Page 191

Deep learning could reduce unnecessary biopsies
By Kate Madden Yee
Monday, November 28 | 3:20 p.m.-3:30 p.m. | SSE02-03 | Room E450ACould deep learning reduce unnecessary biopsies of microcalcifications found on mammography? The potential is there, according to University of Chicago researchers.
November 8, 2016
The pros and cons of risk-based breast cancer screening
By Kate Madden Yee
Monday, November 28 | 11:50 a.m.-12:00 p.m. | RC215-17 | Arie Crown TheaterWhich is better: basing breast cancer screening on a woman's risk or her age? There are definite trade-offs, according to this Monday presentation.
November 8, 2016
How well do radiologists hew to screening benchmarks?
By Kate Madden Yee
Monday, November 28 | 11:40 a.m.-11:50 a.m. | RC215-16 | Arie Crown TheaterRadiologists are hitting certain breast screening benchmarks, but there's room for improvement, concluded researchers from Massachusetts General Hospital.
November 8, 2016
Study links MRI biomarkers with breast cancer prognosis
By Wayne Forrest
Monday, November 28 | 10:40 a.m.-10:50 a.m. | SSC08-02 | Room S402ABCertain MRI biomarkers may provide an early prediction of how a breast cancer patient will respond to the first cycle of neoadjuvant chemotherapy, and they may help determine whether additional treatment is necessary, according to a new study.
November 8, 2016
Machine learning comes to breast cancer risk assessment
By Kate Madden Yee
Monday, November 28 | 9:00 a.m.-9:10 a.m. | RC215-03 | Arie Crown TheaterCan machine learning help clinicians better assess parenchymal patterns for breast cancer risk? It appears so, according to this study being discussed on Monday morning.
November 8, 2016
Calif. breast density law upped MRI screening rates
By Kate Madden Yee
Sunday, November 27 | 1:00 p.m.-1:30 p.m. | BR225-SD-SUB5 | Lakeside, BR Community, Station 5Since California passed its breast density notification law in 2013, the use of screening breast MRI has more than doubled, researchers from the University of California, Davis have found.
November 8, 2016
DBT cuts recall rates, finds more cancers in young women
By Kate Madden Yee
Sunday, November 27 | 12:30 p.m.-1:00 p.m. | BR216-SD-SUA1 | Lakeside, BR Community, Station 1Adding digital breast tomosynthesis (DBT) to mammography reduces recall rates while increasing cancer detection in women younger than 50, according to this Sunday afternoon poster presentation.
November 8, 2016
DBT screening appears effective in all age groups
By Kate Madden Yee
Sunday, November 27 | 11:45 a.m.-11:55 a.m. | SSA01-07 | Arie Crown TheaterResearchers from Yale University have found that digital breast tomosynthesis (DBT) is an effective breast cancer screening tool for women in all age groups -- including those younger than 50, who may be susceptible to a higher rate of false positives.
November 8, 2016
DBT wins for identifying architectural distortions
By Kate Madden Yee
Sunday, November 27 | 11:15 a.m.-11:25 a.m. | SSA01-04 | Arie Crown TheaterDigital breast tomosynthesis (DBT) is better than mammography at identifying architectural distortions in breast tissue -- which means it reduces the variability of results between exam readers and increases readers' confidence in their interpretations, according to this study being presented on Sunday morning.
November 8, 2016
Skip mammography if patient's screened with breast MRI
By Kate Madden Yee
Sunday, November 27 | 11:05 a.m.-11:15 a.m. | SSA01-03 | Arie Crown TheaterResearchers in the Netherlands have found that women at higher risk for breast cancer who are regularly screened with breast MRI don't need to also be screened with mammography.
November 8, 2016
Technologists handle ABUS just as well as sonographers
By Kate Madden Yee
Sunday, November 27 | 10:55 a.m.-11:05 a.m. | SSA02-02 | Room N228Mammography technologists' performance with diagnostic automated breast ultrasound (ABUS) is comparable to that of sonographers, according to research being presented on Sunday morning at RSNA 2016.
November 8, 2016
Road to RSNA 2016: Women's Imaging Preview
By Kate Madden Yee
At this year's RSNA 2016 meeting, attendees will hear how machine learning could be incorporated into women's imaging, perhaps by improving clinicians' ability to assess a woman's breast cancer risk or even by reducing unnecessary biopsies. Presentations will also cover the use of digital tomosynthesis, MRI, and ultrasound for breast cancer detection, and hot topics include breast density, personalized screening, and the debate over mammography screening.
November 8, 2016
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