A coalition of scientific and industrial partners from five European countries and the U.S. announced the successful conclusion of HAMAM, the "Highly Accurate Cancer Diagnosis through Integration of Biological Knowledge, Novel Imaging Modalities, and Modeling" project that was presented as a satellite event on 1 March at the 2012 European Congress of Radiology (ECR).
The project's aim was to develop a prototype clinical workstation combining the technologies and information required to develop a clinical workstation to characterize and classify suspicious breast tissue from multiple imaging modalities, combining them in a single user-friendly interface, according to the European Institute for Biomedical Imaging Research (EIBIR), which coordinated the project.
In early breast cancer detection, accurate differential diagnosis is crucial for enabling physicians to tailor treatment procedures to the individual patient, EBIR said. For the most robust diagnosis clinicians prefer a multimodality approach, which can include mammography, 2D ultrasound, MRI, digital breast tomosynthesis, and automated 3D breast ultrasound (ABUS).
HIMAM was partially funded by the European Commission's 7th Framework Programme for Research.
