A Computational Framework for Modelling Biomechanical Tumour Dynamics and Tissue Interactions: A Proof-of-Concept in Pleural Mesothelioma

Open Access
Authors
Publication date 2025
Host editors
  • M. Paszynski
  • A.S. Barnard
  • Y.J. Zhang
Book title Computational Science – ICCS 2025 Workshops
Book subtitle 25th International Conference, Singapore, Singapore, July 7–9, 2025 : proceedings
ISBN
  • 9783031975561
ISBN (electronic)
  • 9783031975578
Series Lecture Notes in Computer Science
Event Workshops on Computational Science, which were co-organized with the 25th International Conference on Computational Science, ICCS 2025
Volume | Issue number II
Pages (from-to) 83-97
Publisher Cham: Springer
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
In Malignant Pleural Mesothelioma (MPM), solid stress and tissue deformation significantly impact tumour growth and invasion. This study presents a computational framework that integrates biomechanical tumour dynamics, tissue deformation, and force interactions within a realistic anatomical setting. Using the Finite Element Method, the framework is applied to a lung mesh reconstructed from CT scans, incorporating a synthetic mesothelioma tumour with defined material properties. Numerical results from the simulations closely match the analytical solution, with deviations within 5%, confirming the model’s reliability and accuracy. Simulations of point compression and surface expansion effectively capture the localised tumour deformation and lung volume changes, replicating expected breathing mechanics under different conditions. The findings emphasize the role of mechanical interactions in tumour progression, demonstrating how increased tissue stiffness affects deformation patterns and respiratory dynamics. This study establishes a foundation for integrating computational biomechanics with predictive tumour modelling, offering potential applications in personalised medicine for MPM.
Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-031-97557-8_7
Other links https://www.scopus.com/pages/publications/105010814803
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