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Active HORIZON European Commission

International Clinical Validation of Radiomics Artificial Intelligence for Breast Cancer Treatment Planning

€5.84M EUR

Funder European Commission
Recipient Organization Universitat de Barcelona
Country Spain
Start Date Sep 01, 2022
End Date Aug 31, 2026
Duration 1,460 days
Number of Grantees 16
Roles Participant; Coordinator
Data Source European Commission
Grant ID 101057699
Grant Description

Breast cancer is now the most common cancer worldwide, surpassing lung cancer in 2020 for the first time. It is responsible for almost 30% of all cancers in women and current trends show its increasing incidence.

Neoadjuvant chemotherapy (NAC) has shown promise in reducing mortality for advanced cases, but the therapy is associated with a high rate of over-treatment, as well as with significant side effects for the patients.

For predicting NAC respondents and improving patient selection, artificial intelligence (AI) approaches based on radiomics have shown promising preclinical evidence, but existing studies have mostly focused on evaluating model accuracy, all-too-often in homogeneous populations.RadioVal is the first multi-centre, multi-continental and multi-faceted clinical validation of radiomics-driven estimation of NAC response in breast cancer.

The project builds on the repositories, tools and results of five EU-funded projects from the AI for Health Imaging (AI4HI) Network, including a large multi-centre cancer imaging dataset on NAC treatment in breast cancer.

To test applicability as well as transferability, the validation with take place in eight clinical centres from three high-income EU countries (Sweden, Austria, Spain), two emerging EU countries (Poland, Croatia), and three countries from South America (Argentina), North Africa (Egypt) and Eurasia (Turkey).

RadioVal will develop a comprehensive and standardised methodological framework for multi-faceted radiomics evaluation based on the FUTURE-AI Guidelines, to assess Fairness, Universality, Traceability, Usability, Robustness and Explainability.

Furthermore, the project will introduce new tools to enable transparent and continuous evaluation and monitoring of the radiomics tools over time.

The RadioVal study will be implemented through a multi-stakeholder approach, taking into account clinical and healthcare needs, as well as socio-ethical and regulatory requirements from day one.

All Grantees

Medizinische Universitaet Wien; Quibim Sociedad Limitada; Ain Shams University; Nhg Finland Oy; Idryma Technologias Kai Erevnas; Alexander Fleming Sa; Universiteit Maastricht; Gdanski Uniwersytet Medyczny; Fundacion Para la Investigacion Del Hospital Universitario la Fe de la Comunidad Valenciana; Eibir Gemeinnutzige Gmbh Zur Forderung Der Erforschung Der Biomedizinischen Bildgebung; Sveuciliste U Zagrebu Medicinski Fakultet; Maggioli Spa; Universitat de Barcelona; Shine 2Europe Lda; Karolinska Institutet; Hacettepe Universitesi

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