Objective
Prostate cancer (PCa) causes 1/5 of new cancer cases and 1/10 of cancer deaths in western males. Timely diagnosis is crucial to enable effective treatment, but this is hampered by the inadequacy and cost of the available diagnostics based on multiple systematic biopsies, which cause discomfort and health risks because of their invasiveness. Moreover, they fail to provide accurate cancer localization, resulting in either over- or under-treatment. A new diagnostic method is thus needed that is accurate and cost-effective.
Our ambition is to provide patients with accurate diagnosis of PCa by ultrasound imaging. Because ultrasound equipment is affordable and widely available, our method will save lives and cost by enabling noninvasive, timely diagnosis. Over the past years, through a synergic effort of technical and clinical research, we have developed contrast-ultrasound dispersion imaging (CUDI), a revolutionary option to determine cancer location and aggressiveness by detection and characterization of cancer angiogenesis. Our results in 150 patients confirm the accuracy and clinical value of the method.
With this project, we will take CUDI to the next level, establishing the basis for its clinical and commercial translation. To this end, we will realize a commercially-viable software implementation, accounting for user experience, clinical workflow, and regulatory compliance. This project will build on a strong network of international collaborations with key opinion leaders in PCa diagnostics and treatment. We will also account for patient experience via the Dutch Prostate Cancer Association. The establishment of a dedicated start-up driving the valorization activities will provide an additional boost towards the clinical implementation of CUDI.
Our experienced project team combines complementary expertise from academia, industry, and clinic, establishing a solid basis for the valorization and clinical translation of CUDI.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences clinical medicine oncology prostate cancer
- natural sciences computer and information sciences software
- natural sciences physical sciences acoustics ultrasound
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-POC-LS - ERC Proof of Concept Lump Sum Pilot
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2019-PoC
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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.
5612 AE Eindhoven
Netherlands
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.