Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/22741
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dc.contributor.authorNikolić, Aleksandar-
dc.contributor.authorMilicevic, Bogdan-
dc.contributor.authorSimic, Vladimir-
dc.contributor.authorMilosevic, Miljan-
dc.contributor.authorKojić, Miloš-
dc.contributor.editorSaveljic I.-
dc.contributor.editorFilipovic, Nenad-
dc.date.accessioned2025-12-04T07:37:05Z-
dc.date.available2025-12-04T07:37:05Z-
dc.date.issued2025-
dc.identifier.isbn978-86-82172-05-5en_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/22741-
dc.description.abstractThis 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.isoenen_US
dc.publisherInstitute for Information Technologies, University of Kragujevacen_US
dc.relation.ispartofBook of Proceedings International Conference on Chemo and BioInformatics (3; 2025; Kragujevac)en_US
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjecttumor growthen_US
dc.subjectfinite element analysisen_US
dc.subjectlung canceren_US
dc.subject3D modelingen_US
dc.subjectvascular perfusionen_US
dc.titleNumerical Modeling of Tumor Growth using Solid Murine 3D Finite Element Modelen_US
dc.typeconferenceObjecten_US
dc.description.versionPublisheden_US
dc.identifier.doi10.46793/ICCBIKG25.378Nen_US
dc.type.versionPublishedVersionen_US
dc.source.conference3rd International Conference on Chemo and Bioinformatics ICCBIKG 2025en_US
Appears in Collections:Institute for Information Technologies, Kragujevac

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