Womens Imaging: Page 145

Breast ultrasound useful for average-risk women
By Kate Madden Yee
Monday, December 2 | 3:10 p.m.-3:20 p.m. | SSE02-02 | Room E451BIn this scientific session, researchers will discuss how screening breast ultrasound is a useful supplement to mammography in women at average risk of breast cancer, not just those at high risk.
November 4, 2019
MBI lexicon enhances radiologist interpretation
By Kate Madden Yee
Monday, December 2 | 12:45 p.m.-1:15 p.m. | BR230-SD-MOB1 | Lakeside, BR Community, Station 1Understanding the predictive features of molecular breast imaging (MBI) lexicon descriptors improves radiologist interpretation of these exams and allows for appropriate management and follow-up of patients, according to research to be presented Monday afternoon.
November 4, 2019
Abbreviated breast MRI protocol improves screening outcomes
By Kate Madden Yee
Monday, December 2 | 9:05 a.m.-9:15 a.m. | RC215-04 | Arie Crown TheaterIn this talk, Canadian researchers will discuss how an abbreviated breast MRI screening protocol in women with a high risk for breast cancer leads to fewer false positives and benign biopsies when compared with a conventional protocol -- and doesn't compromise the cancer detection rate.
November 4, 2019
BI-RADS 3 means biopsy with prior breast cancer history
By Kate Madden Yee
Sunday, December 1 | 1:00 p.m.-1:30 p.m. | BR259-SD-SUB4 | Lakeside, BR Community, Station 4For women with a prior history of breast cancer, a BI-RADS 3 finding should prompt biopsy, according to research that will be presented on Sunday afternoon in the Lakeside Learning Center.
November 4, 2019
How do BI-RADS 4th, 5th editions compare?
By Kate Madden Yee
Sunday, December 1 | 12:30 p.m.-1:00 p.m. | BR222-SD-SUA2 | Lakeside, BR Community, Station 2In this poster presentation, researchers from Brigham and Women's Hospital in Boston will compare interreader agreement between the BI-RADS fourth edition guidelines for breast cancer classification and BI-RADS fifth edition guidelines.
November 4, 2019
AI for DBT improves breast cancer detection
By Kate Madden Yee
Sunday, December 1 | 11:45 a.m.-11:55 a.m. | SSA01-07 | Room S406AWhen radiologists use artificial intelligence (AI) with digital breast tomosynthesis (DBT), their cancer detection performance and efficiency improve, according to data to be presented Sunday morning.
November 4, 2019
AI can be used alone for low-malignancy mammograms
By Kate Madden Yee
Sunday, December 1 | 11:15 a.m.-11:25 a.m. | SSA01-04 | Room S406AAn artificial intelligence (AI) algorithm can be used for standalone interpretation of mammograms that have a low probability of being malignant, researchers from the University of Southern California will report in this presentation.
November 4, 2019
2017 11 07 18 37 9362 Roadies Ribbon 400
Synthesized mammography not ready on its own for masses
By Kate Madden Yee
Sunday, December 1 | 10:50 a.m.-11:00 a.m. | SSC13-03 | Room S503ABSynthesized 2D mammography isn't ready to be used as standalone technology when it comes to finding breast masses, according to research that will be presented Sunday morning.
November 4, 2019
Deep learning improves DBT's efficiency
By Kate Madden Yee
Sunday, December 1 | 10:45 a.m.-10:55 a.m. | SSA01-01 | Room S406AIn this presentation, researchers will describe how using a deep-learning algorithm with digital breast tomosynthesis (DBT) can reduce radiologists' interpretation times.
November 4, 2019
Road to RSNA 2019: Women's Imaging Preview
By Kate Madden Yee
At RSNA 2019, attendees will have the opportunity to learn how artificial intelligence (AI) is transforming women's imaging, such as enhancing breast imaging, improving radiologists' workflow, and reducing recall rates with digital mammography. This year's conference will also feature presentations on shear-wave elastography, contrast-enhanced spectral mammography, and more.
November 4, 2019
2017 11 02 17 42 1107 Road To Rsna 400
Same-day breast biopsies reduce healthcare disparities
By Kate Madden Yee
Implementing a same-day breast biopsy program can reduce healthcare disparities due to race/ethnicity or insurance, according to a study published in the November issue of the Journal of the American College of Radiology.
November 3, 2019
2018 07 25 21 27 0157 Patient Woman Doctor 400
Deep-learning models could be fooled by fake images
By Erik L. Ridley
Tuesday, December 3 | 9:05 a.m.-9:15 a.m. | RC315-04 | Arie Crown TheaterFake images produced by generative adversarial networks (GANs) have the potential to fool deep-learning algorithms and sometimes even radiologists, according to this talk.
November 3, 2019
Previous Page
Page 145 of 691
Next Page