Breast: Page 166

Texture analysis helps differentiate breast abnormalities
By Wayne Forrest
Thursday, November 30 | 11:50 a.m.-12:00 p.m. | SSQ01-09 | Room E450AJapanese researchers plan to extol the diagnostic performance of texture analysis with dynamic contrast-enhanced breast MRI for nonmass enhancement and the differentiation of malignant and benign lesions.
October 31, 2017
Deep learning with breast MRI boosts lesion detection
By Kate Madden Yee
Tuesday, November 28 | 11:20 a.m.-11:30 a.m. | RC315-14 | Arie Crown TheaterA deep-learning method using multiparametric breast MRI improves automated detection and characterization of breast lesions, according to research being presented at this Tuesday morning session.
October 31, 2017
Breast MRI performs well across many risk factors
By Kate Madden Yee
Tuesday, November 28 | 8:50 a.m.-9:00 a.m. | RC315-02 | Arie Crown TheaterScreening breast MRI is an effective tool for women who carry the BRCA mutation and also for those with a history of breast cancer and/or high-risk lesions, according to research being presented Tuesday morning.
October 31, 2017
Breast MRI neural network predicts treatment response
By Kate Madden Yee
Monday, November 27 | 11:50 a.m.-12:00 p.m. | RC215-17 | Arie Crown TheaterIn this session, researchers will discuss how neural networks based on a breast MRI tumor dataset can help clinicians predict patient response to neoadjuvant chemotherapy.
October 31, 2017
Texture analysis helps differentiate breast abnormalities
By Wayne Forrest
Thursday, November 30 | 11:50 a.m.-12:00 p.m. | SSQ01-09 | Room E450AJapanese researchers plan to extol the diagnostic performance of texture analysis with dynamic contrast-enhanced breast MRI for nonmass enhancement and the differentiation of malignant and benign lesions.
October 30, 2017
PDC Healthcare debuts DBT markers
By AuntMinnie.com staff writers
Healthcare identification technology developer PDC Healthcare has introduced a new line of Spee-D-Mark skin markers designed for use with digital breast tomosynthesis (DBT) exams.
October 30, 2017
Road to RSNA 2017: Women's Imaging Preview
By Kate Madden Yee
Scientific sessions in women's imaging at RSNA 2017 will range from classic research on the effectiveness of breast cancer screening to cutting-edge studies on the use of advanced technologies such as deep learning to improve breast cancer detection.
October 30, 2017
2017 11 02 17 42 1107 Road To Rsna 400
Breast MRI neural networks predict recurrence scores
By Kate Madden Yee
Friday, December 1 | 11:20 a.m.-11:30 a.m. | SST01-06 | Room E450BResearchers in New York have found that deep-learning networks can be trained with breast MRI data to predict Oncotype DX recurrence scores.
October 30, 2017
Use of mammography screening varies at county level
By Kate Madden Yee
Wednesday, November 29 | 3:20 p.m.-3:30 p.m. | SSM01-03 | Room E451AThe use of mammography screening services varies widely at the county level, based on factors such as income, race, and primary care access, as well as whether a county is more or less metropolitan, according to research being presented in this Wednesday session.
October 30, 2017
Is DBT being used in the Medicare population?
By Kate Madden Yee
Wednesday, November 29 | 3:00 p.m.-3:10 p.m. | SSM02-01 | Room E451BDigital breast tomosynthesis (DBT) exams represented just under 20% of mammography screening tests in 2015, the first year of Medicare coverage for the technology, according to researchers from Thomas Jefferson University Hospital in Philadelphia.
October 30, 2017
USPSTF breast screening guidelines increase mortality rate
By Kate Madden Yee
Wednesday, November 29 | 3:00 p.m.-3:10 p.m. | SSM01-01 | Room E451AA new model-based study projects a higher breast cancer mortality rate for unscreened women ages 40 to 49 who follow the U.S. Preventive Services Task Force (USPSTF) breast cancer screening guidelines, which recommend biennial screening starting at age 50.
October 30, 2017
Finding breast cancer: How do computers compare with radiologists?
By Kate Madden Yee
Wednesday, November 29 | 10:40 a.m.-10:50 a.m. | SSK02-02 | Room E451AHow do deep-learning algorithms compare with radiologists when it comes to finding cancer on mammography? Find out in this Wednesday morning presentation.
October 30, 2017
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