project . 2017 - 2019 . Closed

EXCITING-CT

Excellent lung cancer imaging and tumour identification using next generation computed tomography
Open Access mandate for Publications European Commission
  • Funder: European CommissionProject code: 750564 Call for proposal: H2020-MSCA-IF-2016
  • Funded under: H2020 | MSCA-IF-EF-ST Overall Budget: 173,857 EURFunder Contribution: 173,857 EUR
  • Status: Closed
  • Start Date
    01 Sep 2017
    End Date
    31 Aug 2019
  • Detailed project information (CORDIS)
  • Open Access mandate
    Research Data: No
Description
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 artef...
Partners
Description
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 artef...
Partners
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