Research Highlights Performance of Densitas Software, Importance of Breast Density Measurements in Breast Cancer Risk Models

Excellent Performance of Densitas’ Breast Density Software and Importance of Breast Density Measures in Breast Cancer Risk Models Highlighted at BSBR Scientific Meeting

Dublin, November 7, 2017 – Densitas Inc., developer of advanced breast imaging analytics technologies, announced today that research is being presented at this year’s British Society of Breast Radiology (BSBR) scientific meeting that highlights the contribution the company’s automated breast density software, DM-Density, can make to clinical workflows. A poster, titled, Evaluating the performance of automated breast density algorithms– when correlation is necessary but not sufficient, presented research that shows Densitas’ software demonstrates excellent agreement with expert radiologists’ consensus assessments of breast density as it appears on mammograms.

Utility of using mammographic density and clinical risk factors to identify higher risk women in an average-risk screening cohort. What is necessary? What is sufficient?, a podium presentation, showed that breast cancer risk models that incorporate mammographic density along with first-degree family history of breast cancer and age may provide a practical solution for assessing individualized risk estimates for women, helping to identify those at higher risk for additional follow-up screening.


About Densitas

Densitas Inc. is a medical software company building a comprehensive advanced imaging analytics platform applying machine learning algorithms to generate actionable information targeted at improving the mammography enterprise and associated clinical outcomes and appropriate use of health resources.


Podium Presentation

Session: Session 4: Proffered Papers &; Interactive Cases
Session date/time: Tuesday, March 2, 08:10 – 08:20 (GMT)
Presentation: Utility of using mammographic density and clinical risk factors to identify higher risk women in an average-risk screening cohort. What is necessary? What is sufficient?
Presenter: Dr. Sian Iles, MD, FRCPC
Location: Croke Park Stadium, Dublin


Poster Presentation

Poster: Evaluating the performance of automated breast density algorithms– when correlation is necessary but not sufficient
Presenter: Mohamed Abdolell, et al.


Contact:

Alex Morris
alex@densitas.ca
Mobile: +1-647- 470-4363

Mohamed Abdolell