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OCTOPUS: Oncological Concurrent Tomographic Optoacoustics, Pet and UltraSonography.

Project description

Imaging cancer hallmarks

Cancer progression and spread depend on various molecular parameters as well as on the tumour microenvironment. Conventional imaging provides certain information on tumour localisation, shape and size as well as metabolic activity. The idea behind the EU-funded OCTOPUS project is to generate a non-invasive device that can integrate molecular, vascular and tissue oxygenation information, three major hallmarks of cancer. The device will help studying tumour dynamics and predict disease evolution. The OCTOPUS approach offers a more holistic analysis of cancer that will further support image-guided treatment and disease management.

Objective

Cancer is the second leading cause of death globally. Noninvasive imaging of tumor hallmarks helps to combat cancer more efficiently. However, cancer is a complex disease and modern imaging of cancer should evolve to help exploring the interaction between different cancer hallmarks and to predict the evolution of some of them in relation to others. Besides, these new techniques should provide answers to the present unmet need for determining, precisely, how, which and when targeted therapeutic agents can be used for optimized efficacy. In this project we will build a new hybrid cancer imaging device: OCTOPUS (Oncological Concurrent Tomographic Optoacoustics, PET and UltraSonography), that will pioneer the intersection of molecular, vascular and tissue oxygenation information, three major hallmarks of cancer. OCTOPUS is a timely action to study tumor dynamics with a hybrid hallmark perspective in a longitudinal, simultaneous, quantitative, fully co-registered and in vivo manner. To reach this goal, I will develop cutting-edges technologies regarding multispectral tomographic optoacoustic using an arrangement of 3D ultrasound arrays, combined with actual 3D sequences of Ultrafast Ultrasound and a custom-made PET system for data acquisition and reconstruction. A deep learning framework will be created for advanced multiparametric analysis of OCTOPUS derived data to facilitate the interpretation of intra-tumoral processes in order to improve high-precision image-guided treatment and ultimately to guide in the design of targeted therapies.

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Topic(s)

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MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2020

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Coordinator

UNIVERSIDAD COMPLUTENSE DE MADRID
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 160 932,48
Address
AVENIDA DE SENECA 2
28040 MADRID
Spain

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Region
Comunidad de Madrid Comunidad de Madrid Madrid
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 160 932,48
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