Breast: Page 165

Breast ultrasound's cancer detection rate similar after DBT, mammo
By Kate Madden Yee
Monday, November 27 | 3:00 p.m.-3:10 p.m. | SSE01-01 | Arie Crown TheaterScreening breast ultrasound's cancer detection rate in women with dense tissue is comparable after digital mammography versus after digital breast tomosynthesis (DBT), according to a study conducted at Brown University.
November 6, 2017
2017 11 07 18 37 9362 Roadies Ribbon 400
Cancer detection rate of screening ultrasound increases over time
By Kate Madden Yee
Monday, November 27 | 12:15 p.m.-12:45 p.m. | BR225-SD-MOA5 | Lakeside, BR Community, Station 5Over time, the cancer detection rate of screening breast ultrasound increases -- without an increase in biopsies, researchers at Elizabeth Wende Breast Care in Rochester, NY, have found.
November 6, 2017
CureMetrix adds to medical advisory board
By AuntMinnie.com staff writers
Breast imaging computer-aided diagnosis software developer CureMetrix has signed on new members to its medical advisory board.
November 5, 2017
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.
November 5, 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.
November 5, 2017
Deep-learning software boosts breast US performance
By Kate Madden Yee
Tuesday, November 28 | 3:40 p.m.-3:50 p.m. | SSJ02-05 | Room E450AWhen it comes to identifying breast cancer, deep-learning software for breast ultrasound achieves diagnostic accuracy comparable to that of radiologists, Swiss researchers have found.
November 5, 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.
November 5, 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.
November 5, 2017
Volpara wins 25 VolparaEnterprise installations
By AuntMinnie.com staff writers
Breast imaging software developer Volpara Solutions has announced the first 25 sales and installations of its VolparaEnterprise software.
November 2, 2017
Hologic adds Dutch mammo supply deal
By AuntMinnie.com staff writers
Women's imaging firm Hologic and its Netherlands' distributor Tromp Medical will supply mammography systems for the Dutch Breast Cancer Screening Program.
November 1, 2017
Surveillance OK for certain type of breast lesion
By AuntMinnie.com staff writers
Surveillance is safe for a particular type of noncancerous breast lesion that is typically treated surgically, according to a study published online October 31 in the Journal of the American College of Surgeons.
October 31, 2017
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 31, 2017
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