Quantra® 2.2 Breast Density Assessment Software

Standardizing breast density analysis with machine learning, at the point of care.

Lab technician viewing monitor with x-ray in lab setting.




    Standardize Breast Density Analysis

    Higher breast tissue density increases a woman's risk for breast cancer1. Powered by machine learning, Quantra software provides accurate, unbiased breast density assessment by analyzing both 2D and tomosynthesis images for distribution and texture of tissue. Consistent with pattern and texture scoring guidance from the American College of Radiation (ACR) BI-RADS Atlas 5th Edition, Quantra software categorizes breast tissue into four breast density composition categories.

    Better Risk Prediction

    In addition to volume, pattern and texture of fibroglandular tissue may play just as an important role in mammographic cancer prediction.2-4 Both tumors and dense tissue show up as white on traditional mammogram images, impacting breast cancer screening3, making breast density a key metric in patient health. Quantra 2.2 software solution delivers the accurate information you need to achieve more consistent and reliable scoring and the confidence to design individualized patient screening plans.

    Automated Assessment

    Objective machine learning algorithm that assigns breast density category based on analysis of breast tissue texture and patterns.


    Overcome individual radiologist subjectivity in visual assessment and elevate the standard of care and standardization of reporting across the whole radiology practice.

    Smoother Patient Pathway

    Displays density on the acquisition workstation in the exam room to facilitate patient management protocols for potential supplemental imaging at the point of care.

    System Compatibility & Clinical Performance

    Quantra 2.2 software solution allows you to seamlessly view results on SecurView® and other diagnostic workstations and mammography reporting systems. It can also be used as an automatic input for risk assessment software that utilizes breast density scores, such as the Tyrer-Cuzick model.

    View breast density scores on the 3Dimensions™ and Selenia Dimensions® systems’ acquisition workstation to streamline workflows for supplemental screening, and eliminate the need for a separate server.

    Breast imaging scans

    Risk Categories8

    Evidence. Insight. Collaboration.

    Our education portal improves patient care through excellence in education, communication of clinical and scientific evidence, and partnerships with the healthcare community.

      1. Centers for Disease Control and Prevention 2. A novel and fully automated mammographic texture analysis for risk prediction: results from two case-control studies. Wang, C, et al. 2017, Breast Cancer Research, Vol. 19, p. 114. 3. Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case–control study. Winkel, RR, et al. 2016, BMC Cancer, Vol. 16, p. 414. 4. Mammographic texture resemblance generalizes as an independent risk factor for breast cancer. Nielsen M, Vachon CM, Scott CG, Chernoff K, Karemore G, Karssemeijer N, Lillholm M, Karsdal MA. 2014, Breast Cancer Research, Vol. 16(2), p. R37

      Safety Data Sheets

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