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K-edge imaging for cOLOR Spectral Photon-Counting Computed Tomography in lung diseases IMAGING

Project description

Improved CT for lung disease diagnosis

Computed Tomography (CT) is a medical imaging technique that utilises X-ray technology to generate detailed cross-sectional images of the body, providing valuable diagnostic information for various medical conditions. CT is vital in lung imaging due to its superior spatial resolution, convenience, and rapid acquisition. Funded by the European Research Council, the KOLOR SPCCT IMAGING project aims to improve CT specificity by advancing spectral photon-counting CT. This technology allows quantitative identification of atoms in tissues through color K-edge imaging. The project will develop nanobiotechnology agents and test the method in preclinical models of lung cancer and fibrosis.

Objective

Computed tomography (CT) is the mainstay of lung imaging because of its higher spatial resolution, convenience, availability and faster time of acquisition in comparison with other imaging methods such as magnetic resonance imaging (MRI) and nuclear imaging. However, CTs lack of specificity and absolute quantitative capabilities limits the comprehensive guidance of therapeutic strategies based on imaging assessment of oncologic, inflammatory, and fibrotic pathophysiology processes.

Spectral photon-counting CT is an emerging CT technology that not only capitalises on all CTs advantages but also offers a cutting-edge method of imaging, called Color K-edge imaging. This method allows the specific and quantitative identification of one or multiple atoms concomitantly within a tissue, enabling the simultaneous imaging of independent or interacting pathways. However, K-edge imaging is still limited by its low sensitivity and the scarce availability of contrast agents for potential Human translation, and therefore has not been translated yet to practice. Addressing these issues would be extremely beneficial to the diagnostic and theragnostic evaluation of lung diseases in general and more specifically, lung fibrosis and cancer.

Therefore, the goal of this proposal is to develop a framework of SPCCT Color K-edge imaging to provide high-resolution specific and quantitative imaging for non-targeting and targeting agents candidates, mainly from the nanobiotechnology field. We will carry out preclinical studies to evaluate the contribution in combination with the contrast agents using different routes of injection, either by intravenous injection or inhalation, on key lung applications: cancer and fibrosis. This will open to the concomitant imaging of lung ventilation and perfusion for monitoring the inflammation and pulmonary agent delivery in animal models.

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-ERC - HORIZON ERC Grants

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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) ERC-2023-STG

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Host institution

UNIVERSITE LYON 1 CLAUDE BERNARD
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.

€ 1 603 750,00
Address
BOULEVARD DU 11 NOVEMBRE 1918 NUM43
69622 Villeurbanne Cedex
France

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Region
Auvergne-Rhône-Alpes Rhône-Alpes Rhône
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.

€ 1 603 750,00

Beneficiaries (1)

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