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

Journal: European radiology experimental
Published Date:

Abstract

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.

Authors

  • Luis Marti-Bonmati
    QUIBIM SL, Valencia, Spain.
  • Angel Alberich-Bayarri
    QUIBIM SL, Valencia, Spain.
  • Ruth Ladenstein
    Children's Cancer Research Institute, Vienna, Austria.
  • Ignacio Blanquer
    Instituto de Instrumentación para Imagen Molecular (I3M), Universitat Politècnica de València (UPV), c\ Camino de Vera s/n, 46022, Valencia, Spain.
  • J Damian Segrelles
    Instituto de Instrumentación para Imagen Molecular (I3M), Universitat Politècnica de València (UPV), c\ Camino de Vera s/n, 46022, Valencia, Spain.
  • Leonor Cerdá-Alberich
    Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, Av. Fernando Abril Martorell 106, Torre E, 46026, Valencia, Spain.
  • Polyxeni Gkontra
    Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, Av. Fernando Abril Martorell 106, Torre E, 46026, Valencia, Spain.
  • Barbara Hero
    Department of Pediatrics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
  • J M García-Aznar
    Multiscale in Mechanical and Biological Engineering, Department of Mechanical Engineering, Universidad de Zaragoza, Zaragoza, Spain.
  • Daniel Keim
    Department of Computer Science, University of Konstanz, Konstanz, Germany.
  • Wolfgang Jentner
    Department of Computer Science, University of Konstanz, Konstanz, Germany.
  • Karine Seymour
    Medexprim, 815 La Pyrénéenne, 31670, Labège, France.
  • Ana Jimenez-Pastor
    QUIBIM SL, Valencia, Spain. anajimenez@quibim.com.
  • Ismael González-Valverde
    Quantitative Imaging Biomarkers in Medicine, QUIBIM SL, Edificio Europa, Av. de Aragón, 30, Planta 12, 46021, Valencia, Spain.
  • Blanca Martínez de Las Heras
    Paediatric Oncology Unit, La Fe University and Polytechnic Hospital, Av. Fernando Abril Martorell 106, Torre G, 2 Floor, 46026, Valencia, Spain.
  • Samira Essiaf
    European Society for Paediatric Oncology, Brussels, Belgium.
  • Dawn Walker
    Department of Computer Science and Insigneo Institute of In Silico Medicine, University of Sheffield, Regent Court, 211 Portobello, Sheffield, UK.
  • Michel Rochette
    Simulation, Modelling and Engineering Software, Ansys Group, Montigny-le-Bretonneux, France.
  • Marian Bubak
    ACC Cyfronet, AGH University of Science and Technology, Sano Centre for Computational Medicine, Nawojki 11, 30-950, Kraków, Poland.
  • Jordi Mestres
    Chemotargets S.L., Carrer de Baldiri Reixac, 4-8 TI05A7 Torre I, planta 5, A7, 08028, Barcelona, Spain.
  • Marco Viceconti
    Department of Industrial Engineering, Alma Mater Studiorum, University of Bologna, Bologna, Italy.
  • Gracia Martí-Besa
    Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, Av. Fernando Abril Martorell 106, Torre E, 46026, Valencia, Spain.
  • Adela Cañete
    Paediatric Oncology Unit, La Fe University and Polytechnic Hospital, Av. Fernando Abril Martorell 106, Torre G, 2 Floor, 46026, Valencia, Spain.
  • Paul Richmond
    Department of Computer Science and Insigneo Institute of In Silico Medicine, University of Sheffield, Regent Court, 211 Portobello, Sheffield, UK.
  • Kenneth Y Wertheim
    Department of Computer Science and Insigneo Institute of In Silico Medicine, University of Sheffield, Regent Court, 211 Portobello, Sheffield, UK.
  • Tomasz Gubala
    ACC Cyfronet, AGH University of Science and Technology, Sano Centre for Computational Medicine, Nawojki 11, 30-950, Kraków, Poland.
  • Marek Kasztelnik
    ACC Cyfronet, AGH University of Science and Technology, Sano Centre for Computational Medicine, Nawojki 11, 30-950, Kraków, Poland.
  • Jan Meizner
    ACC Cyfronet, AGH University of Science and Technology, Sano Centre for Computational Medicine, Nawojki 11, 30-950, Kraków, Poland.
  • Piotr Nowakowski
    Silesian University of Technology, Faculty of Transport, ul. Krasińskiego 8, 40-019 Katowice, Poland.
  • Salvador Gilpérez
    Matical Innovation, Calle de Torija, 5, 28013, Madrid, Spain.
  • Amelia Suárez
    Matical Innovation, Calle de Torija, 5, 28013, Madrid, Spain.
  • Mario Aznar
    Matical Innovation, Calle de Torija, 5, 28013, Madrid, Spain.
  • Giuliana Restante
    Department of Translational Research, University of Pisa, Chair Radiodiagnostica 3, Pisa University Hospital, Via Roma 67, 56126, Pisa, Italy.
  • Emanuele Neri
    Department of Radiological Sciences, University of Pisa, Via Savi 10, 56126 Pisa, Italy.