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https://scidar.kg.ac.rs/handle/123456789/22741Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Nikolić, Aleksandar | - |
| dc.contributor.author | Milicevic, Bogdan | - |
| dc.contributor.author | Simic, Vladimir | - |
| dc.contributor.author | Milosevic, Miljan | - |
| dc.contributor.author | Kojić, Miloš | - |
| dc.contributor.editor | Saveljic I. | - |
| dc.contributor.editor | Filipovic, Nenad | - |
| dc.date.accessioned | 2025-12-04T07:37:05Z | - |
| dc.date.available | 2025-12-04T07:37:05Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.isbn | 978-86-82172-05-5 | en_US |
| dc.identifier.uri | https://scidar.kg.ac.rs/handle/123456789/22741 | - |
| dc.description.abstract | This study presents the reconstruction and finite element (FE) modeling of three- dimensional murine solid tumor growth, integrating perfusion processes with real-time volumetric changes. Tumor geometries were reconstructed from DICOM images obtained from Houston Methodist Hospital at multiple time points (7–16 days), incorporating both vasculature and surrounding tissue. The 3D models were generated in CAD Field and Solid (CADFiS) software, defining independent solid tissue and capillary domains, material parameters, and flow boundary conditions, simulating the interstitial fluid transport and pressure distribution over a 20-day period using PAK solver. Results indicate progressive tumor expansion, with volume increases of ~30% by day 10 and over 200% by day 16 relative to the initial configuration. Pressure field analysis revealed spatial variations associated with tumor morphology and vascular structure. The developed approach demonstrates the capability of coupled solid–fluid FE modeling to predict tumor growth dynamics, offering a computational framework for future studies on tumor biomechanics, vascularization, and therapy response prediction. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Institute for Information Technologies, University of Kragujevac | en_US |
| dc.relation.ispartof | Book of Proceedings International Conference on Chemo and BioInformatics (3; 2025; Kragujevac) | en_US |
| dc.rights | CC0 1.0 Universal | * |
| dc.rights.uri | http://creativecommons.org/publicdomain/zero/1.0/ | * |
| dc.subject | tumor growth | en_US |
| dc.subject | finite element analysis | en_US |
| dc.subject | lung cancer | en_US |
| dc.subject | 3D modeling | en_US |
| dc.subject | vascular perfusion | en_US |
| dc.title | Numerical Modeling of Tumor Growth using Solid Murine 3D Finite Element Model | en_US |
| dc.type | conferenceObject | en_US |
| dc.description.version | Published | en_US |
| dc.identifier.doi | 10.46793/ICCBIKG25.378N | en_US |
| dc.type.version | PublishedVersion | en_US |
| dc.source.conference | 3rd International Conference on Chemo and Bioinformatics ICCBIKG 2025 | en_US |
| Appears in Collections: | Institute for Information Technologies, Kragujevac | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 380-383-Nikolic.pdf | 777.62 kB | Adobe PDF | View/Open |
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