RSNA 2017 Women's Imaging Preview
By Kate Madden Yee, AuntMinnie.com staff writer
October 31, 2017

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.

As has been the case in the past several years, there will be a number of studies on digital breast tomosynthesis (DBT), which has become increasingly accepted for both screening and diagnostic use. Look for research that explores the technology from a range of angles, including its performance in catching smaller cancers, a new DBT technique that reduces compression without compromising image quality, and whether DBT is being used to its full potential in the Medicare population.

As for ultrasound, you'll find sessions that investigate topics such as how the technology's breast cancer detection rate compares with DBT and mammography, whether technologist-performed screening ultrasound scans in women with dense tissue lead to more recalls, and using real-time breast ultrasound to avert biopsy.

And don't forget about breast MRI, the powerful modality that's showing its potential, particularly for screening high-risk women. Speakers at RSNA 2017 will present talks on which women might benefit most from this exam, as well as new deep learning techniques for analyzing breast MRI data.

Make sure to check out the "hot topic" and "controversy" sessions on offer for women's imaging at RSNA 2017, including talks on the efficacy of abbreviated breast MRI, the ongoing controversy over mammography screening, and ultrasound for pelvic imaging. And if you need to review the basics, refresher courses will cover everything from emerging MRI technology and gynecologic ultrasound to the economics of women's imaging.

For an even deeper dive into the use of informatics-based technologies for guiding women's imaging, be sure to check back for our Road to RSNA Women's Informatics Preview next week.

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 RSNA's complete listing of abstracts for the 2017 scientific and educational program, click here.

Scientific and Educational Presentations
Contrast mammography offers viable screening alternative
Sunday, November 26 | 11:15 a.m.-11:25 a.m. | SSA02-04 | Room N227B
Contrast-enhanced digital mammography performs comparably to digital mammography and may be a useful screening alternative for women with an intermediate risk of breast cancer, according to this study being presented at RSNA 2017 on Sunday morning.
DBT catches smaller cancers -- and improves outcomes
Sunday, November 26 | 11:25 a.m.-11:35 a.m. | SSA01-05 | Arie Crown Theater
Digital breast tomosynthesis (DBT) is better than digital mammography when it comes to catching smaller cancers earlier, Yale University researchers have found.
Do mammography recalls keep women from other screening tests?
Sunday, November 26 | 11:35 a.m.-11:45 a.m. | SSA01-06 | Arie Crown Theater
False positives on mammography do not deter women from undergoing other preventive tests, such as cervical cancer or osteoporosis screening, according to research conducted at NYU Langone Medical Center.
DBT detects more interval cancers than mammo alone
Sunday, November 26 | 1:00 p.m.-1:30 p.m. | BR219-SD-SUB4 | Lakeside, BR Community, Station 4
Digital breast tomosynthesis (DBT) detects more interval cancers than mammography alone, according to results being presented at this Sunday afternoon poster session.
DBT's recall rates remain low over time
Monday, November 27 | 9:10 a.m.-9:20 a.m. | RC215-04 | Arie Crown Theater
Recall rates for digital breast tomosynthesis (DBT) remain low over time, even if there are initial increases when the technology is first implemented, according to Yale University researchers.
Breast MRI neural network predicts treatment response
Monday, November 27 | 11:50 a.m.-12:00 p.m. | RC215-17 | Arie Crown Theater
In this session, researchers will discuss how neural networks based on a breast MRI tumor dataset can help clinicians predict patient response to neoadjuvant chemotherapy.
Most women continue to be screened with mammo alone
Monday, November 27 | 12:15 p.m.-12:45 p.m. | BR224-SD-MOA4 | Lakeside, BR Community, Station 4
Fewer than 10% of women who underwent breast cancer screening with mammography in 2015 were screened with digital breast tomosynthesis or ultrasound in addition to mammography, according to this poster presentation to be held on Monday afternoon.
Cancer detection rate of screening ultrasound increases over time
Monday, November 27 | 12:15 p.m.-12:45 p.m. | BR225-SD-MOA5 | Lakeside, BR Community, Station 5
Over 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.
ACR mammo data can be linked to state cancer registries
Monday, November 27 | 12:45 p.m.-1:15 p.m. | BR228-SD-MOB2 | Lakeside, BR Community, Station 2
It's feasible to link the American College of Radiology (ACR) National Mammography Database to the national network of state cancer registries, according to this Monday poster presentation.
Breast ultrasound's cancer detection rate similar to DBT, mammo
Monday, November 27 | 3:00 p.m.-3:10 p.m. | SSE01-01 | Arie Crown Theater
Screening breast ultrasound's cancer detection rate in women with dense tissue is comparable to that of screening mammography and digital breast tomosynthesis (DBT), according to a study conducted at Brown University.
Do technologists have more recalls for breast US exams?
Monday, November 27 | 3:50 p.m.-4:00 p.m. | SSE01-06 | Arie Crown Theater
Do screening breast ultrasound scans performed by technologists in women with dense tissue lead to more recalls? Find out at this Monday afternoon session.
Breast MRI performs well across many risk factors
Tuesday, November 28 | 8:50 a.m.-9:00 a.m. | RC315-02 | Arie Crown Theater
Screening 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.
New technique reduces DBT compression
Tuesday, November 28 | 10:40 a.m.-10:50 a.m. | SSG14-02 | Room S405AB
In this session, researchers will discuss how a new imaging technique can reduce breast compression for digital breast tomosynthesis (DBT) -- without increasing radiation dose or decreasing image quality.
Deep learning with breast MRI boosts lesion detection
Tuesday, November 28 | 11:20 a.m.-11:30 a.m. | RC315-14 | Arie Crown Theater
A 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.
Real-time breast US after second opinion averts biopsy
Tuesday, November 28 | 11:40 a.m.-11:50 a.m. | SSG01-08 | Room E451A
Real-time ultrasound scans performed after a second-opinion review of outside breast ultrasound studies find additional cancers and high-risk lesions and also prevents unnecessary biopsies, researchers from Memorial Sloan Kettering Cancer Center have found.
CAD boosts performance of contrast spectral mammography
Tuesday, November 28 | 12:15 p.m.-12:45 p.m. | BR234-SD-TUA2 | Lakeside, BR Community, Station 2
Computer-aided diagnosis (CAD) of contrast-enhanced spectral mammography can help reduce false positives, according to this Tuesday afternoon poster presentation.
Dual-energy mammography may reduce false-positive biopsies
Tuesday, November 28 | 12:45 p.m.-1:15 p.m. | BR241-SD-TUB3 | Lakeside, BR Community, Station 3
A new dual-energy mammography technique could help radiologists better interpret breast lesions and reduce false-positive biopsies, concluded researchers from the University of California, San Francisco.
DBT radiation dose varies depending on tissue density
Tuesday, November 28 | 3:30 p.m.-3:40 p.m. | SSJ01-04 | Arie Crown Theater
The radiation dose from digital breast tomosynthesis (DBT) varies depending on tissue density, according to research being presented at this Tuesday afternoon session.
Deep-learning software boosts breast US performance
Tuesday, November 28 | 3:40 p.m.-3:50 p.m. | SSJ02-05 | Room E450A
When it comes to identifying breast cancer, deep-learning software for breast ultrasound achieves diagnostic accuracy comparable to that of radiologists, Swiss researchers have found.
New technique improves MBI technology
Wednesday, November 29 | 10:30 a.m.-10:40 a.m. | SSK14-01 | Room S505AB
In this session, researchers will share how a new image processing algorithm and visualization technique can improve molecular breast imaging (MBI) technology, reducing radiation dose and imaging time and increasing the cancer detection rate.
Finding breast cancer: How do computers compare with radiologists?
Wednesday, November 29 | 10:40 a.m.-10:50 a.m. | SSK02-02 | Room E451A
How do deep-learning algorithms compare with radiologists when it comes to finding cancer on mammography? Find out in this Wednesday morning presentation.
USPSTF breast screening guidelines increase mortality rate
Wednesday, November 29 | 3:00 p.m.-3:10 p.m. | SSM01-01 | Room E451A
A 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.
Is DBT being used in the Medicare population?
Wednesday, November 29 | 3:00 p.m.-3:10 p.m. | SSM02-01 | Room E451B
Digital 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.
Use of mammography screening varies at county level
Wednesday, November 29 | 3:20 p.m.-3:30 p.m. | SSM01-03 | Room E451A
The 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.
Texture analysis helps differentiate breast abnormalities
Thursday, November 30 | 11:50 a.m.-12:00 p.m. | SSQ01-09 | Room E450A
Japanese 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.
Breast MRI neural networks predict recurrence scores
Friday, December 1 | 11:20 a.m.-11:30 a.m. | SST01-06 | Room E450B
Researchers in New York have found that deep-learning networks can be trained with breast MRI data to predict Oncotype DX recurrence scores.