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practice HAMAM - Highly Accurate Breast Cancer Diagnosis

HAMAM - Highly Accurate Breast Cancer Diagnosis

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Web address of the case:

Country of the case:

Austria

City/region:

Vienna

Posting Date:

26 November 2009

Last Edited Date:

26 November 2009

Author:

HAMAM - Highly Accurate Breast Cancer Diagnosis Logosg6677's picture

Type of initiative

  • Project or service-imgProject or service

Case Abstract

HAMAM-Highly Accurate Breast Cancer Diagnosis through Integration of Biological Knowledge, Novel Imaging Modalities, and Modeling-is a three year project that started in September 2008 and consists of 9 international scientific partners from seven countries, with European Institute for Biomedical Imaging Research (EIBIR) as coordinating partner.

Despite tremendous advances in modern imaging technology, both early detection and accurate diagnosis of breast cancer are still unresolved challenges. Unnecessary biopsies are taken and tumours frequently go undetected until a stage where therapy is costly or unsuccessful. The EU funded project HAMAM tackles this challenge by providing a means to seamlessly integrate the available multi-modal images and the patient information on a single clinical workstation. Based on knowledge gained from a multi-disciplinary database, populated within the scope of this project, suspicious breast tissue will be characterised and classified.

Spesifically, the HAMAM project will:

  • Develop tools needed for integrated visualization and analysis of databases from different imaging modalitities, most notably X-ray mammography, DCE MRI, 2D/3D ultrasound, and positron emission mammography (PEM).
  • Provide proper pre-processing and standardisation tools that will allow for optimal comparison of disparate data.
  • Develop spatial correlation methods to allow for improved multimodal workflows with respect to reading efficiency and security, eventually leading to combined, multi-modal tissue and lesion models.
  • Derive advanced schemes for computer aided detection and diagnosis based on multi-modal data that will be key in improving the accuracy in identifying breast cancer.
  • Build in adaptability that allows for the integration of other sources of knowledge such as biophysical tumour models, known risk factors including family history of cancer, hormonal and environmental factors, and genetic data;
  • Build a teaching file to be used to train clinicians in actually using the technologies and knowledge acquired in the project .

With HAMAM, Europe ahs the potential to strengthen its leadership in the whole area of image-based breast cancer diagnoses.

Description of the case

Domain
Sector
Date
September 2008 to August 2011
Target Users
General public | Health authorities | Health professionals
Scope
Pan-European
Status
Research
Language(s)
English | French | German

Policy Context and Legal Framework

The project is funded by the European Commission within the 7th Framework Programme.

Project Size and Implementation

Type of initiative
Inclusive services of general interest
Overall Implementation approach
Partnerships between administration and/or private sector and/or non-profit sector
Technology choice
Not applicable/not available
Funding source
Public funding EU

Implementation and Management Approach

HAMAM is structured around nine different work packages, leading from clinical and diagnostic requirements (WP1) to project management (WP9). HAMAM integrates excellent European centres for imaging science with strong skills on breast imaging. To ensure the clinical impact, leading European clinicians in the area of breast cancer diagnosis are contributing as members of the clinical advisory board.

Technology solution

The translation of the final results into medical products and patient benefit is guaranteed through the industrial partner MeVis Medical Solutions AG (MMS) with outstanding experience and performance in translating research projects into successful products in the field of breast cancer diagnosis.

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