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
Link To Document :
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