News | Women's Health | July 21, 2015

University of Virginia Researchers Demonstrate High Precision of Automated Volumetric Breast Density

Scientific study confirms reduced variation between exam results with automated density measurements

July 21, 2015 - Researchers at the University of Virginia (UVA) Health System have demonstrated that automated volumetric fibroglandular breast density measurement tools are more precise than area-based methods.  Results of the study, "Reliability of Automated Breast Density Measurements," recently featured in Radiology, suggest that with lower variability, volumetric breast density is well suited for inclusion in breast cancer risk models. The announcement was made at The Association for Medical Imaging Management (AHRA)'s 43rd annual meeting and exposition, July 19-22 in Las Vegas. 

"Breast density is increasingly being considered with other known risk factors to improve risk prediction in order to give women personalized knowledge to make decisions about screening. However, variability in assigned density category may result in changes in recommendations for adjuvant screening. Thus, for consistency, objectivity, and ease of use, breast density measurement ideally should be automated and accurate," said Jennifer Harvey, M.D., professor of radiology at the UVA School of Medicine. "The purpose of this study was to estimate the reliability of area-based methods and automated volumetric breast density measurements using repeated measures."

Thirty women undergoing screening mammography consented to undergo a repeated left craniocaudal examination performed by a second technologist in this prospective study. Breast density was measured by using both area-based and volumetric methods (Volpara software). Discrepancy between the first and second breast density measurements was obtained for each algorithm by subtracting the second measurement from the first and then analyzed with a random-effects model to derive limits of measurement agreement. 

Results of the study demonstrate that variability in a repeated measurement of breast density is highest for area-based measurement tools, standard deviation 3.32 percent (2.65-4.44). In contrast, precision was highest for automated volumetric breast density tools, such as VolparaDensity, standard deviation 0.99 percent (0.79-1.33).  

"The excellent reproducibility of automated breast density measurements indicates that they would be well suited for inclusion in a breast cancer risk model.  This is consistent with results we presented at the San Antonio Breast Cancer Symposium in December that showed that the addition of volumetric breast density improved breast cancer risk discrimination," Harvey added.

For more information:

Related Content

Fujifilm Installing New DR Equipment for Three Large Healthcare Systems
News | Digital Radiography (DR) | September 22, 2017
Fujifilm Medical Systems U.S.A. Inc. recently closed new contracts to enhance diagnostic imaging capabilities for...
Theraclion to Launch Metastatic Breast Cancer Trial Combining Echotherapy and Immunotherapy
News | Focused Ultrasound Therapy | September 18, 2017
September 18, 2017 — Theraclion and co-lead investigator David Brenin, M.D., from the University of Virginia School o
Blue Earth Diagnostics Announcing Results of FALCON PET/CT Trial at ASTRO 2017
News | PET-CT | September 13, 2017
September 13, 2017 — Blue Earth Diagnostics announced the upcoming oral presentation of initial results from the FALC Debuts  Spanish Language Video  About Dense Breasts
News | Breast Density | September 12, 2017
Breast cancer risks associated with breast density are the subject of a new Spanish language video launched recently by...
Asian Study Underlines Potential Value of Pressure-Guided Mammography
News | Mammography | September 11, 2017
Sigmascreening recently announced that a study of in total 15,898 in digital mammograms from 3,772 Asian women...
Delphinus Enrolls First Patient in Discover Breast Ultrasound Clinical Project
News | Ultrasound Womens Healthcare | September 08, 2017
September 8, 2017 — Delphinus Medical Technologies Inc.
Breast imaging X-ray mammogram showing a breast tumor. Photo courtesy of Monthian Ritchan-Ad

Photo courtesy of Monthian Ritchan-Ad

Feature | Breast Density | September 08, 2017 | By Roy Prager, M.D.
While mammograms play a vital role in efforts to identify breast cancer, they can present some challenges in women with...
FDG-PET/CT Predicts Melanoma Patients' Response to Immune Checkpoint Inhibitor Therapy
News | PET-CT | September 07, 2017
September 7, 2017 — Advanced melanoma has a poor prognosis, but immune checkpoint inhibitor therapy can be effective
Overlay Init