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

Información del proyecto

EXCITING-CT

Identificador del acuerdo de subvención: 750564

DOI

10.3030/750564

Proyecto cerrado

Fecha de la firma de la CE 27 Febrero 2017

Fecha de inicio 1 Septiembre 2017

Fecha de finalización 31 Agosto 2019

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total

€ 173 857,20

Aportación de la UE

€ 173 857,20

Coordinado por

KUNGLIGA TEKNISKA HOEGSKOLAN
Sweden

Objetivo

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.

Ámbito científico (EuroSciVoc)

• ciencias médicas y de la salud › medicina clínica › oncología › carcinoma broncopulmonar
• ingeniería y tecnología › ingeniería médica › imagenología › tomografía axial computerizada
• ciencias médicas y de la salud › medicina clínica › radiología
• ciencias naturales › informática y ciencias de la información › inteligencia artificial › aprendizaje automático › aprendizaje profundo
• ciencias naturales › ciencias químicas › química inorgánica › metaloides

Programa(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions PROGRAMA PRINCIPAL
  
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
  

Tema(s)

• MSCA-IF-2016 - Individual Fellowships
  

Régimen de financiación

MSCA-IF-EF-ST - Standard EF

Convocatoria de propuestas

H2020-MSCA-IF-2016

Coordinador

KUNGLIGA TEKNISKA HOEGSKOLAN

• Aportación neta de la UEn: € 173 857,20
• Dirección: BRINELLVAGEN 8 ; 100 44 Stockholm ; Suecia
• Región: Östra Sverige › Stockholm › Stockholms län
• Tipo de actividad: Higher or Secondary Education Establishments
• Coste total: € 173 857,20