RSNA 2018 Women's Imaging Preview
By Kate Madden Yee, AuntMinnie.com staff writer
October 30, 2018

It may be hard to believe that the first digital breast tomosynthesis (DBT) device hit the market a mere seven years ago, given how ubiquitous DBT has become in clinical practice. Since its early days, DBT has been lauded for its ability to find more cancers and reduce recalls when compared with digital mammography, benefits that some say directly address concerns critics raise about the supposed "harms" of screening mammography.

Now, as radiologists gain more experience using DBT, the clinical questions researchers are exploring regarding the technology have become more sophisticated. Attendees of this year's RSNA meeting will encounter a variety of studies that examine everything from whether DBT reduces the incidence of interval cancers and how it works in women of particular ages, ethnicities, or breast densities to how it performs as a biopsy guidance tool.

Yet with all the continued excitement about DBT, it won't be the only topic under discussion at RSNA 2018 with respect to women's imaging. The RSNA is hosting a number of refresher courses and controversy sessions this year that will address subjects such as breast cancer screening -- what the data say about it and the pros and cons of personalized screening protocols; the benefits of technologies such as contrast-enhanced digital mammography, PET, PET/MRI, and molecular breast imaging; and how best to manage ductal carcinoma in situ.

There will also be lively debate over the role of ultrasound in breast cancer screening and diagnosis, from its performance over the long term, the efficacy of shear-wave elastography for distinguishing between malignant and benign lesions, and automated breast ultrasound, as well as the potential of sonography to diagnose and treat uterine fibroids, endometriosis, and endometrial cancer.

Finally, you'll hear lots of conversation on how artificial intelligence (AI) can improve or enhance breast imaging, with presentations ranging from how to incorporate patient characteristics in breast cancer screening into deep learning networks, whether AI can improve the accuracy and efficiency of DBT, and whether DBT's radiation dose can be reduced using AI algorithms.

For highlights of just some of the many women's imaging research and posters scheduled for presentation at this year's meeting, read on. To view the complete listing of abstracts, view the RSNA 2018 meeting program.

Scientific and Educational Presentations
Does DBT reduce interval cancer rates?
Sunday, November 25 | 10:45 a.m.-10:55 a.m. | SSA01-01 | Room E450A
Digital breast tomosynthesis (DBT) finds more breast cancers than digital mammography alone -- which could mean that it also reduces interval cancer rates, according to this scientific presentation being delivered on Sunday morning.
DBT screening effective in women with implants
Sunday, November 25 | 10:55 a.m.-11:05 a.m. | SSA01-02 | Room E450A
Digital breast tomosynthesis (DBT) is an effective screening tool in women with breast implants, researchers from MD Anderson Cancer Center in Houston have found.
Contrast mammography reduces unnecessary biopsies
Sunday, November 25 | 10:55 a.m.-11:05 a.m. | SSA02-02 | Room E450B
Contrast-enhanced digital mammography reduces unnecessary biopsies, according to a study being presented on Sunday morning.
How has the ACA affected breast cancer screening?
Sunday, November 25 | 11:05 a.m.-11:15 a.m. | SSA01-03 | Room E450A
Has breast cancer screening uptake been affected by the Patient Protection and Affordable Care Act (ACA) of 2010 and the U.S. Preventive Services Task Force's 2009 guidelines? This Sunday morning presentation will address these questions.
Ultrasound tomo beats handheld sonography for gauging tumor volume
Sunday, November 25 | 11:15 a.m.-11:25 a.m. | SSA20-04 | Room S102CD
Ultrasound tomography is better than handheld ultrasound when it comes to measuring breast tumor volume, according to this presentation.
DBT improves screening performance in younger women
Sunday, November 25 | 11:55 a.m.-12:05 p.m. | SSA01-08 | Room E450A
Digital breast tomosynthesis (DBT) improves breast screening when compared with digital mammography alone -- especially in women younger than 50.
Breast MRI with gadolinium contrast is safe for women
Sunday, November 25 | 1:00 p.m.-1:30 p.m. | BR224-SD-SUB1 | Lakeside, BR Community, Station 1
Breast MRI with macrocyclic gadolinium-based contrast agents does not put women at risk for deposits of the agent in the brain, according to this scientific poster being presented on Sunday afternoon.
The more DBT, the lower the recall rate
Sunday, November 25 | 1:00 p.m.-1:30 p.m. | BR226-SD-SUB3 | Lakeside, BR Community, Station 3
Breast imaging centers with higher use rates of digital breast tomosynthesis (DBT) have lower recall rates, University of Pennsylvania researchers have found.
Deep learning elevates mammography CAD performance
Monday, November 26 | 11:10 a.m.-11:20 a.m. | RC215-13 | Arie Crown Theater
Mammography computer-aided detection (CAD) software based on deep learning can perform comparably to radiologists in detecting breast cancer and at a higher level than traditional mammography CAD applications, according to Dutch researchers.
AI speeds up DBT reading time, helps find more cancers
Monday, November 26 | 11:20 a.m.-11:30 a.m. | RC215-14 | Arie Crown Theater
In this talk, researchers will report that the concurrent use of artificial intelligence (AI) software while interpreting digital breast tomosynthesis (DBT) screening exams leads to higher radiologist accuracy and much faster reading times.
How do women want to receive screening mammography results?
Monday, November 26 | 3:00 p.m.-3:10 p.m. | SSE02-01 | Room E450B
Women have particular preferences when it comes to receiving mammography results, according to research to be presented on Monday afternoon.
Deep learning may yield sharply lower dose from DBT
Monday, November 26 | 3:00 p.m.-3:10 p.m. | SSE23-01 | Room S502AB
In this scientific session, a multi-institutional team of researchers will share how deep-learning technology could lead to nearly 80% lower radiation dose to patients from digital breast tomosynthesis (DBT) studies.
Reading volume, experience affect radiologists' recall rates
Monday, November 26 | 3:30 p.m.-3:40 p.m. | SSE02-04 | Room E450B
The screening recall rates for individual radiologists are influenced by their annual reading volume and experience, researchers from Brigham and Women's Hospital in Boston have found.
Breast ultrasound performs well over time
Tuesday, November 27 | 10:30 a.m.-10:40 a.m. | SSG01-01 | Room S406A
Screening breast ultrasound performs well over the long haul, which is good news in an era when more U.S. states are enacting breast density notification legislation that recommends women with dense tissue undergo supplemental screening.
5-point quality score improves breast SWE performance
Tuesday, November 27 | 11:20 a.m.-11:30 a.m. | SSG01-06 | Room S406A
Using a simple five-point technical quality scale can help radiologists better use shear-wave elastography (SWE) data, according to scientific research to be highlighted on Tuesday morning.
Breast MRI tops DBT-ABVS for cancer staging
Tuesday, November 27 | 3:30 p.m.-3:40 p.m. | SSJ02-04 | Room E353C
Breast MRI performs better for breast cancer treatment staging than the combination of digital breast tomosynthesis (DBT) and ultrasound automated breast volume scanning (ABVS) -- but the latter works well enough to offer patients an alternative if MRI isn't available, Italian researchers have found.
Synthesized 2D screening performance is mixed
Wednesday, November 28 | 10:40 a.m.-10:50 a.m. | SSK01-02 | Room E451A
The performance of synthesized 2D mammography images created from digital breast tomosynthesis scans in a screening program is mixed, according to findings being presented on Wednesday morning.
Deep-learning networks help classify breast density
Wednesday, November 28 | 10:40 a.m.-10:50 a.m. | SSK02-02 | Room E451B
Deep-learning networks can help classify breast tissue density, according to researchers from NYU Langone Medical Center.
Is DBT ready for prime time?
Wednesday, November 28 | 11:10 a.m.-11:20 a.m. | SSK01-05 | Room E451A
Is digital breast tomosynthesis (DBT) ready to step in as the primary breast cancer screening modality? It looks like it, according to a team of researchers from Yale University.
In-house data train breast cancer detection algorithm
Wednesday, November 28 | 11:20 a.m.-11:30 a.m. | SSK02-06 | Room E451B
Researchers from California will share how deep-learning algorithms for breast cancer detection can be trained using an in-house image database.
AI-based CAD can improve breast cancer detection
Wednesday, November 28 | 11:30 a.m.-11:40 a.m. | SSK02-07 | Room E451B
Computer-aided detection (CAD) software based on artificial intelligence (AI) can increase radiologist breast cancer detection rates, according to this scientific presentation.
Breast MRI may be good for intermediate-risk women
Wednesday, November 28 | 12:45 p.m.-1:15 p.m. | BR266-SD-WEB6 | Lakeside, BR Community, Station 6
Screening breast MRI could be an effective tool for women with an intermediate risk of breast cancer, according to this poster being presented on Wednesday afternoon.