RSNA 2019 Women's Imaging Preview

Road to RSNA 2019: Women's Imaging Preview

By Kate Madden Yee, staff writer
November 5, 2019

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.

Presentations will highlight how AI can improve or enhance breast imaging, covering topics such as the use of deep learning to reduce digital breast tomosynthesis (DBT) reading time and even further improve its cancer detection capability; the benefits of allowing AI algorithms to sift through mammograms and eliminate low-malignancy exams, thus improving radiologists' workflow; using AI as a tool to reduce the recall rate on digital mammography; and machine learning-based evaluation of DBT screening through the creation of customized synthesized 2D images. In fact, the RSNA plans to kick off the week with a Deep Learning Classroom session that's part of its AI Showcase, and the session will be repeated throughout the meeting.

Yet even with all this interest in AI, RSNA 2019 will offer attendees a chance to explore a variety of other women's imaging matters as well. Keep an eye out for presentations on the feasibility of supine MRI-navigated ultrasound in breast cancer patients, the effect of computer-aided diagnosis on breast ultrasound interpretation, using shear-wave elastography to predict breast cancer patient response to chemotherapy, and contrast-enhanced spectral mammography for diagnostic workup of BI-RADS 4 lesions on breast MRI, to name a few.

In addition, the RSNA will host refresher courses that address advanced breast ultrasound and MRI applications, gynecologic ultrasound, and the current state of breast cancer screening, including how to best deal with dense tissue. Finally, look for "hot topic" sessions that will tackle issues such as imaging the axilla and the placenta.

Keep reading for highlights of just some of the many women's imaging research and posters scheduled for presentation at this year's meeting. View the complete list of abstracts for the 2019 scientific and educational program on the RSNA website.

Scientific and Educational Presentations
Deep learning improves DBT's efficiency
Sunday, December 1 | 10:45 a.m.-10:55 a.m. | SSA01-01 | Room S406A
In this presentation, researchers will describe how using a deep-learning algorithm with digital breast tomosynthesis (DBT) can reduce radiologists' interpretation times.
Synthesized mammography not ready on its own for masses
Sunday, December 1 | 10:50 a.m.-11:00 a.m. | SSC13-03 | Room S503AB
Synthesized 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.
AI can be used alone for low-malignancy mammograms
Sunday, December 1 | 11:15 a.m.-11:25 a.m. | SSA01-04 | Room S406A
An 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.
AI for DBT improves breast cancer detection
Sunday, December 1 | 11:45 a.m.-11:55 a.m. | SSA01-07 | Room S406A
When 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.
How do BI-RADS 4th, 5th editions compare?
Sunday, December 1 | 12:30 p.m.-1:00 p.m. | BR222-SD-SUA2 | Lakeside, BR Community, Station 2
In 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.
BI-RADS 3 means biopsy with prior breast cancer history
Sunday, December 1 | 1:00 p.m.-1:30 p.m. | BR259-SD-SUB4 | Lakeside, BR Community, Station 4
For 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.
Abbreviated breast MRI protocol improves screening outcomes
Monday, December 2 | 9:05 a.m.-9:15 a.m. | RC215-04 | Arie Crown Theater
In 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.
MBI lexicon enhances radiologist interpretation
Monday, December 2 | 12:45 p.m.-1:15 p.m. | BR230-SD-MOB1 | Lakeside, BR Community, Station 1
Understanding 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.
Breast ultrasound useful for average-risk women
Monday, December 2 | 3:10 p.m.-3:20 p.m. | SSE02-02 | Room E451B
In 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.
Higher parenchymal uptake on MBI may predict higher cancer risk
Monday, December 2 | 3:30 p.m.-3:40 p.m. | SSE01-04 | Room E450A
The level of background parenchymal uptake on molecular breast imaging (MBI) can help predict future breast cancer risk in postmenopausal women, Mayo Clinic researchers have found.
Breast ultrasound helpful supplement even after DBT
Monday, December 2 | 3:50 p.m.-4:00 p.m. | SSE02-06 | Room E451B
In this session, University of Pittsburgh researchers will discuss how whole-breast ultrasound performed by a technologist can find more cancers in women with dense breast tissue even after screening digital breast tomosynthesis (DBT) -- although it does increase the recall rate.
How suitable is CESM as a breast MRI alternative?
Tuesday, December 3 | 10:40 a.m.-10:50 a.m. | SSG01-02 | Room S102CD
At this Tuesday morning session, German researchers will explore how suitable contrast-enhanced spectral mammography (CESM) is as an alternative to MRI for breast cancer screening.
Does DBT find more interval cancers?
Wednesday, December 4 | 10:30 a.m.-10:40 a.m. | SSK01-01 | Room E451B
Digital breast tomosynthesis (DBT) finds more breast cancers on screening, but it doesn't necessarily find more interval cancers, according to Norwegian researchers.
Screening frequency key influence on recall rates
Wednesday, December 4 | 11:20 a.m.-11:30 a.m. | SSK01-06 | Room E451B
In this session, researchers will share how age and race strongly influence breast cancer screening recall rates, but screening frequency and modality have greater impact.
Trust whole-breast US for supplemental breast cancer screening
Wednesday, December 4 | 11:50 a.m.-12:00 p.m. | SSK02-09 | Room E450A
Whole-breast ultrasound performed by a technologist is an effective way to provide adjuvant screening to women with dense breast tissue, according to research to be presented on Wednesday morning.
Ultrasound tomography helps characterize breast cancer
Wednesday, December 4 | 12:45 p.m.-1:15 p.m. | BR278-SD-WEB5 | Lakeside, BR Community, Station 5
In this poster presentation, researchers will discuss how ultrasound tomography is a feasible and accurate tool for characterizing stiffness of breast lesions.
Is DBT in younger women harmful or helpful?
Wednesday, December 4 | 12:45 p.m.-1:15 p.m. | BR280-SD-WEB7 | Lakeside, BR Community, Station 7
The benefits of screening digital breast tomosynthesis (DBT) in women between the ages of 40 and 49 outweigh the harms, according to research to be shared Wednesday afternoon.
Parenchymal enhancement on MRI linked to breast cancer risk
Thursday, December 5 | 11:10 a.m.-11:20 a.m. | SSQ01-05 | Room S406B
In this award-winning session, University of Pittsburgh researchers will discuss how background parenchymal enhancement imaged by dynamic contrast-enhanced breast MRI provides additional diagnostic information compared with using tumor-derived radiomics data alone.