Standardise breast density analysis to provide personal care
Higher breast density is known to increase a woman’s risk for breast cancer.1 The need for accurate, unbiased analysis is therefore critical.
Quantra™ 2.2 software’s unbiased algorithms analyse both 2D and tomosynthesis images to support your analysis by:
- Overcoming subjectivity in visual assessment, providing more consistent, and more reliable scoring*
- Elevating the standard of care and standardise reporting
- Facilitating patient management protocols for adjunctive screening
Utilise the power of breast texture and pattern
Volume is not the only important factor in mammographic cancer risk prediction. Pattern and texture of fibroglandular tissue may play just as an important role.1-3 By analysing and categorising each patient’s breast texture and pattern, Quantra™ 2.2 delivers the accurate information you need to achieve more consistent, more reliable scoring and confidently design patient-specific screening pathways.
Improve assessment with unbiased algorithms powered by machine learning that analyse each patient’s breast texture and pattern
Elevate the standard of care and standardise reporting across the whole radiology practice
View density on the AWS* to facilitate patient management protocols for adjunctive screening while the patient is in the office
What’s the evidence behind this?
Quantra™ 2.2 scores are based on ACR BI-RADS categories, in line with the revised guidance by the American College of Radiation (ACR) BI-RADS Atlas 5th4 Edition. This accounts for pattern and texture, compared with volume, when determining density.
Request more information*AWS with minimum 3Dimensions™ 2.1 or Dimensions 1.10 software
