Date on Master's Thesis
8-2025
Document Type
Master's Thesis
Degree Name
M. Eng.
Department
Bioengineering
Committee Chair
Frieboes, Hermann
Committee Member
Altiparmak, Nihat
Committee Member
Roussel, Thomas
Author's Keywords
mathematical modeling; lung cancer; model coupling
Abstract
Lung cancer has the highest rates of incidence and mortality of all cancers. Most lung cancer tumors are Non-Small Cell Lung Cancer (NSCLC). NSCLC patients with lesions in the upper lobes are found to have better prognosis compared to those with lesions in the middle and lower lobes. Previous studies have suggested various causes for this discrepancy at both the organ-scale and tissue-scale. To model NSCLC growth in different locations within the lung, an organ scale lung model and tissue scale tumor model were coupled through the tissue pressure, and oxygen and carbon dioxide partial pressures. The coupling was used to simulate NSCLC growth in select locations in each lobe of the lung. The tumor burden after 12 days was highest in the middle lower right lobes of the lung reflecting findings from previous studies. Further use of the coupled model may enable more personalized simulation for NSCLC patients.
Recommended Citation
Johnson, LaMargaret Temukisa, "Mathematical modeling of effects of tumor location on lung function." (2025). Master of Engineering Theses. Paper 4.
Retrieved from https://ir.library.louisville.edu/speed_meng/4
