Higher breast tissue density increases a woman’s risk of breast cancer¹. Quantra software, powered by machine learning, provides accurate and unbiased assessment of breast density by analyzing 2D and tomosynthesis images based on tissue distribution and texture. In accordance with the pattern and texture assessment guidelines from the American College of Radiology (ACR) BI-RADS Atlas 5th Edition, Quantra software classifies breast tissue into four breast density composition categories.
Beyond volume alone, the pattern and texture of fibroglandular tissue can play an equally important role in predicting breast cancer on mammograms. Both tumors and dense tissue appear as white structures on traditional mammographic images, which impacts breast cancer screening, making breast density a key indicator of patient health. The Quantra 2.2 software solution provides the precise information you need to achieve more consistent and reliable assessment and greater confidence in developing individualized patient screening plans.
The Quantra 2.2 software solution allows you to seamlessly view results on SecurView® workstations and other diagnostic workstations and mammography reporting systems. It can also be used as an automatic input for risk assessment software that uses breast density scores, such as the Tyrer-Cuzick model.
Breast density scores can be viewed on the workstation of 3Dimensions™ and Selenia Dimensions® systems, which streamlines the additional screening workflow and eliminates the need for a separate server.
