Name
Abstract | ||
|---|---|---|
During the last decades, especially via the EU initiative related to the Virtual Physiological Human, significant progress has been made in advancing "in-silico" computational models to produce accurate and reliable tumor growth simulations. However, currently most attempts to validate the outcome of the models are either done in-vitro or ex-vivo after tumor resection. In this work, we incorporate information provided by fluorescence molecular tomography performed in-vivo into a mathematical model that describes tumor growth. The outcome is validated against tumor evolution snapshots captured in-vivo using advanced molecular probes in laboratory animals. The simulations are inline with the actual in-vivo growth and although alternative modeling parameters can lead to similar results challenging for additional microscopic information and imaging modalities to drive the in-silico models, they all show that hypoxia plays a dominant role in the evolution of the tumor under study. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/EMBC.2013.6610803 | 2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Keywords | Field | DocType |
fluorescence,virtual physiological human,molecular biophysics,cancer,mathematical model,tomography,hypoxia | Biomedical engineering,Computer science,Resection,Virtual Physiological Human,In vivo,Artificial intelligence,Optical tomography,Computational biology,Molecular imaging,Computer vision,Computational model,Molecular biophysics,Fluorescence molecular tomography | Conference |
Volume | ISSN | Citations |
2013 | 1557-170X | 1 |
PageRank | References | Authors |
0.40 | 1 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eleftheria Tzamali | 1 | 1 | 0.40 |
| Rosy Favicchio | 2 | 1 | 0.40 |
| alexandros roniotis | 3 | 1 | 1.07 |
| Georgios Tzedakis | 4 | 1 | 0.40 |
| Giorgos Grekas | 5 | 1 | 0.40 |
| Jorge Ripoll | 6 | 1 | 0.73 |
| Kostas Marias | 7 | 18 | 4.73 |
| Giannis Zacharakis | 8 | 9 | 3.02 |
| Vangelis Sakkalis | 9 | 110 | 23.68 |