News | Breast Density | September 20, 2019

Densityai software will be deployed in up to 24 breast cancer screening clinics across Germany

Densitas Wins Major Procurement of Breast Density Software for DIMASOS Breast Screening Trial

September 20, 2019 — Densitas Inc. announced it has won a procurement of its densitas densityai software for deployment in up to 24 breast cancer screening clinics across Germany. These clinics will provide breast density measurements at point of care to identify women for supplemental breast cancer screening as part of the DIMASOS 2 Trial.

Prof. Sylvia H. Heywang-Köbrunner, M.D., head of Referenzzentrum Mammographie München, internationally recognized for her work in contrast-enhanced breast magnetic resonance imaging (MRI) and modern biopsy procedures, is using densitas densityai breast density measures to establish a supplemental ultrasound screening protocol in the DIMASOS 2 trial.

“Women with dense breasts are subject to the masking effect of mammographic density and its association with breast cancer risk. The objective of the DIMASOS 2 trial is to test whether combined mammography/ultrasound exams can improve early cancer detection and if this can feasibly and cost effectively be done in routine screening workflow,” said Heywang-Köbrunner.  “The unique ability of the Densitas software to analyze prior ‘for presentation’ mammograms from a wide range of mammography scanner vendor models is pivotal to this trial and is important for any practical clinical deployment.”

Densitas densityai delivers fully automated, standardized and reproducible breast density assessments from standard DICOM clinical use mammograms. Results from densitas densityai are generated by two distinct algorithms that decouple the breast density assessment into quantitative and qualitative scales in alignment with the American College of Radiology (ACR) Breast Imaging-Reporting and Data System (BI-RADS) 4th and 5th edition density classification systems. These results can be incorporated into breast cancer risk models to provide standardized and reproducible patient-specific risk estimates.

The artificial intelligence (AI)-driven Densitas densityai processes the same clinical use images that radiologists examine, enabling seamless picture archiving and communication system (PACS)-centric integrations and retrospective auditing capabilities of routinely archived exams. 

For more information: www.densitas.health

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