PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers

Autor: Giuliana Restante, Luis Martí-Bonmatí, Mario Aznar, Michel Rochette, Piotr Nowakowski, Daniel A. Keim, Angel Alberich-Bayarri, Marian Bubak, Marek Kasztelnik, Polyxeni Gkontra, Tomasz Gubała, Dawn Walker, Samira Essiaf, José Manuel García-Aznar, Wolfgang Jentner, Blanca Martínez de las Heras, J. Damian Segrelles, Adela Cañete, Kenneth Y. Wertheim, Jan Meizner, Jordi Mestres, Gracia Martí-Besa, Paul Richmond, Amelia Suárez, Ignacio Blanquer, Ana Jimenez-Pastor, Barbara Hero, Salvador Gilpérez, Karine Seymour, Marco Viceconti, Ruth Ladenstein, Ismael González-Valverde, Leonor Cerdá-Alberich, Emanuele Neri
Přispěvatelé: Marti-Bonmati L., Alberich-Bayarri A., Ladenstein R., Blanquer I., Segrelles J.D., Cerda-Alberich L., Gkontra P., Hero B., Garcia-Aznar J.M., Keim D., Jentner W., Seymour K., Jimenez-Pastor A., Gonzalez-Valverde I., Martinez de las Heras B., Essiaf S., Walker D., Rochette M., Bubak M., Mestres J., Viceconti M., Marti-Besa G., Canete A., Richmond P., Wertheim K.Y., Gubala T., Kasztelnik M., Meizner J., Nowakowski P., Gilperez S., Suarez A., Aznar M., Restante G., Neri E.
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Male
Diffuse intrinsic pontine glioma
lcsh:Medical physics. Medical radiology. Nuclear medicine
medicine.medical_specialty
Decision support system
Artificial intelligence
Computer science
In silico
lcsh:R895-920
Childhood cancer
030218 nuclear medicine & medical imaging
Decision Support Techniques
03 medical and health sciences
Neuroblastoma
0302 clinical medicine
CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL
Medical imaging
medicine
Artificial intelligence
Biomarkers (tumour)
Cloud computing
Diffuse intrinsic pontine glioma
Neuroblastoma
Humans
Cloud computing
Radiology
Nuclear Medicine and imaging
Medical physics
Child
Neuroradiology
Biomarkers (tumour)
business.industry
Brain Neoplasms
Glioma
Prognosis
Biobank
3. Good health
Tumor Burden
Europe
Phenotype
Analytics
030220 oncology & carcinogenesis
Disease Progression
Observational study
Original Article
Female
ddc:004
business
Biomarkers
Zdroj: European Radiology Experimental, Vol 4, Iss 1, Pp 1-11 (2020)
European Radiology Experimental
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname
Zaguán: Repositorio Digital de la Universidad de Zaragoza
Universidad de Zaragoza
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
ISSN: 2509-9280
DOI: 10.1186/s41747-020-00150-9
Popis: [EN] PRIMAGE is one of the largest and more ambitious research projects dealing with medical imaging, artificial intelligence and cancer treatment in children. It is a 4-year European Commission-financed project that has 16 European partners in the consortium, including the European Society for Paediatric Oncology, two imaging biobanks, and three prominent European paediatric oncology units. The project is constructed as an observational in silico study involving high-quality anonymised datasets (imaging, clinical, molecular, and genetics) for the training and validation of machine learning and multiscale algorithms. The open cloud-based platform will offer precise clinical assistance for phenotyping (diagnosis), treatment allocation (prediction), and patient endpoints (prognosis), based on the use of imaging biomarkers, tumour growth simulation, advanced visualisation of confidence scores, and machine-learning approaches. The decision support prototype will be constructed and validated on two paediatric cancers: neuroblastoma and diffuse intrinsic pontine glioma. External validation will be performed on data recruited from independent collaborative centres. Final results will be available for the scientific community at the end of the project, and ready for translation to other malignant solid tumours.
Horizon 2020 project (RIA, topic SC1-DTH-07-2018)
Databáze: OpenAIRE
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