CORDIS
EU research results

CORDIS

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Decision Support and Information Management System for Breast Cancer

Project information

Grant agreement ID: 690238

Status

Closed project

  • Start date

    1 February 2016

  • End date

    31 July 2019

Funded under:

H2020-EU.3.1.5.

  • Overall budget:

    € 3 340 720

  • EU contribution

    € 3 340 720

Coordinated by:

FUNDACION CENTRO DE TECNOLOGIAS DE INTERACCION VISUAL Y COMUNICACIONES VICOMTECH

Spain

Objective

Breast cancer is the most common type of cancer affecting woman in the EU. Multidisciplinary Breast Units (BUs) were introduced in order to deal efficiently with breast cancer cases, setting guideline-based quality procedures and a high standard of care. However, daily practice in the BUs is hampered by the complexity of the disease, the vast amount of patient and disease data available in the digital era, the difficulty in coordination, the pressure exerted by the system and the difficulty in deciding on cases that guidelines do not reflect.
DESIREE aims to alleviate this situation by providing a web-based software ecosystem for the personalized, collaborative and multidisciplinary management of primary breast cancer (PBC) by specialized BUs. Decision support will be provided on the available therapy options by incorporating experience from previous cases and outcomes into an evolving knowledge model, going beyond the limitations of the few existing guideline-based decision support systems (DSS). Patient cases will be represented by a novel digital breast cancer patient (DBCP) data model, incorporating variables relevant for decision and novel sources of information and biomarkers of diagnostic and prognostic value, providing a holistic view of the patient presented to the BU through specialized visual exploratory interfaces. The influence of new variables and biomarkers in current and previous cases will be explored by a set of data mining and visual analytics tools, leveraging large amounts of retrospective data.
Iintuitive web-based tools for multi-modality image analysis and fusion will be developed, providing advanced imaging biomarkers for breast and tumor characterization. Finally, a predictive tool for breast conservative therapy will be incorporated, based on a multi-scale physiological model, allowing to predict the aesthetic outcome of the intervention and the healing process, with important clinical and psychological implications for the patients.

Coordinator

FUNDACION CENTRO DE TECNOLOGIAS DE INTERACCION VISUAL Y COMUNICACIONES VICOMTECH

Address

Paseo Mikeletegi Parque Tecnologico De Miramon 57
20009 Donostia San Sebastian

Spain

Activity type

Research Organisations

EU Contribution

€ 586 623,75

Participants (11)

ARIVIS AG

Germany

EU Contribution

€ 350 250

ASSISTANCE PUBLIQUE HOPITAUX DE PARIS

France

EU Contribution

€ 194 375

BILBOMATICA SA

Spain

EU Contribution

€ 252 825

Exploraciones Radiológicas Especiales S.L.

Spain

EU Contribution

€ 168 975

FUNDACION ONKOLOGIKOA FUNDAZIOA

Spain

EU Contribution

€ 155 115

INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE

France

EU Contribution

€ 402 035

MEDICAL INNOVATION AND TECHNOLOGY SINGLE MEMBER PC

Greece

EU Contribution

€ 261 466,25

SISTEMAS GENOMICOS SL

Spain

EU Contribution

€ 99 125

UNIVERSITY OF HOUSTON SYSTEM

United States

UNIVERSITY OF ULSTER

United Kingdom

EU Contribution

€ 513 625

THE METHODIST HOSPITAL RESEARCH INSTITUTE

United States

EU Contribution

€ 356 305

Project information

Grant agreement ID: 690238

Status

Closed project

  • Start date

    1 February 2016

  • End date

    31 July 2019

Funded under:

H2020-EU.3.1.5.

  • Overall budget:

    € 3 340 720

  • EU contribution

    € 3 340 720

Coordinated by:

FUNDACION CENTRO DE TECNOLOGIAS DE INTERACCION VISUAL Y COMUNICACIONES VICOMTECH

Spain

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