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Excellent lung cancer imaging and tumour identification using next generation computed tomography

Objective

Lung cancer has the highest incidence and mortality rates of all cancers, and patient survival is strongly linked to early detection. Therefore, low-dose CT screening of high-risk individuals, the only method proven to improve survival, is now recommended by major health organisations. There are, however, concerns with the high rate of false positives and increased radiation exposure associated with screening. We propose to investigate the clinical benefits of spectral CT for lung nodule detection and characterisation. The unique, photon-counting, spectral silicon detector developed by the host group offer twice the resolution, no lower dose limit, reduced artefacts, and higher contrast sensitivity than current state-of-the-art. Our hypothesis is that the patient dose can be significantly reduced in both the detection and characterisation steps, and that the higher resolution will reduce false positives. The reduction in screening dose alone would prevent an estimated 15 cases of induced cancer per 10,000 individuals screened. Fewer false positives would then further reduce the dose through fewer follow-ups and characterisations, lower clinical costs and workload, and reduce patient distress. The fellowship would allow the researcher to benefit from the world-class research, close ties to commercial partners and strong international collaborations of the host, and the exceptional clinical expertise of the partner organisation. In particular, training in cutting-edge detector technology, novel image reconstruction techniques and management of patient studies would complement the researcher’s strong background in medical physics and image analysis. The training, expected high-impact research and networking opportunities will strongly enhance the career prospects of the researcher, the outreach activities will give public awareness of the potential of spectral CT, and the expected clinical gain will benefit society at large, in particular future lung cancer patients.

Fields of science (EuroSciVoc)

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Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

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.

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.

MSCA-IF-EF-ST - Standard EF

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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-2016

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Coordinator

KUNGLIGA TEKNISKA HOEGSKOLAN
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.

€ 173 857,20
Address
BRINELLVAGEN 8
100 44 Stockholm
Sweden

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Region
Östra Sverige Stockholm Stockholms län
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.

€ 173 857,20
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