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Diagnose your most challenging breast images with confidence

Quantra™ 2.2 Breast Density Assessment Software

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

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Standardise breast density analysis to provide personal care

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?

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.

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*AWS with minimum 3Dimensions™ 2.1 or Dimensions 1.10 software

References
  1. Zuley M, Guo B, Catullo V, et al. “Comparison of Two-dimensional Synthesized Mammograms versus Original Digital Mammograms Alone and in Combination with Tomosynthesis Images.” Radiology. 2014 Jun;271(3):664-71. Epub 2014 Jan 21
  2. Durand M, Raghu M, Geisel J, et al. “Synthesized 2D Mammography + Tomosynthesis: Can We See Clearly?” (paper presented at the annual meeting of the Radiological Society of North America, Chicago, Il, December 2015).
  3. Choi J, Han B, Ko E, et al. “Comparison with Two-Dimensional Synthetic Mammography Reconstructed from Digital Breast Tomosynthesis and Full Field Digital Mammography for the Detection of T1 Breast Cancer.” European Radiology. 2016 Aug;26(8):2538-46. Epub 2015 Dec.
  4. Woo O, Choi G, Shin H, et al. “Comparative Diagnostic Value of Two-dimensional Synthesized Mammogram and Conventional Full-field Digital Mammogram for Evaluation of Breast Cancer” (poster presented at the annual meeting of the Radiological Society of North America, Chicago, Il, December 2015).

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