• DocumentCode
    36160
  • Title

    The Technologically Integrated Oncosimulator: Combining Multiscale Cancer Modeling With Information Technology in the In Silico Oncology Context

  • Author

    Stamatakos, Georgios ; Dionysiou, Dimitra ; Lunzer, Aran ; Belleman, Robert ; Kolokotroni, Eleni ; Georgiadi, Eleni ; Erdt, Marius ; Pukacki, Juliusz ; Rueping, S. ; Giatili, Stavroula ; d´Onofrio, Alberto ; Sfakianakis, S. ; Marias, Kostas ; Desmedt, Chr

  • Author_Institution
    In Silico Oncology Group, Nat. Tech. Univ. of Athens, Zografos, Greece
  • Volume
    18
  • Issue
    3
  • fYear
    2014
  • fDate
    May-14
  • Firstpage
    840
  • Lastpage
    854
  • Abstract
    This paper outlines the major components and function of the technologically integrated oncosimulator developed primarily within the Advancing Clinico Genomic Trials on Cancer (ACGT) project. The Oncosimulator is defined as an information technology system simulating in vivo tumor response to therapeutic modalities within the clinical trial context. Chemotherapy in the neoadjuvant setting, according to two real clinical trials concerning nephroblastoma and breast cancer, has been considered. The spatiotemporal simulation module embedded in the Oncosimulator is based on the multiscale, predominantly top-down, discrete entity-discrete event cancer simulation technique developed by the In Silico Oncology Group, National Technical University of Athens. The technology modules include multiscale data handling, image processing, invocation of code execution via a spreadsheet-inspired environment portal, execution of the code on the grid, and the visualization of the predictions. A refining scenario for the eventual coupling of the oncosimulator with immunological models is also presented. Parameter values have been adapted to multiscale clinical trial data in a consistent way, thus supporting the predictive potential of the oncosimulator. Indicative results demonstrating various aspects of the clinical adaptation and validation process are presented. Completion of these processes is expected to pave the way for the clinical translation of the system.
  • Keywords
    biomedical engineering; cancer; medical image processing; patient treatment; tumours; breast cancer; chemotherapy; code execution; discrete entity-discrete event cancer simulation technique; image processing; immunological model; in silico oncology context; in vivo tumor response; information technology system; multiscale cancer modeling; multiscale clinical trial data; multiscale data handling; neoadjuvant setting; nephroblastoma; spatiotemporal simulation module; spreadsheet-inspired environment portal; technologically integrated oncosimulator; Adaptation models; Breast cancer; Chemotherapy; Computational modeling; Oncology; Tumors; Advancing Clinico Genomic Trials on Cancer (ACGT) project; Virtual Physiological Human (VPH); breast cancer; in silico medicine; in silico oncology; multiscale cancer modeling; nephroblastoma; oncosimulator;
  • fLanguage
    English
  • Journal_Title
    Biomedical and Health Informatics, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    2168-2194
  • Type

    jour

  • DOI
    10.1109/JBHI.2013.2284276
  • Filename
    6617658