HOW LINEAR ELASTIC MATERIAL PROPERTIES AFFECT LUNG TUMOR MOTION AND DEFORMATION: A FINITE ELEMENT ANALYSIS.
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Author/Creator ORCID
Date
2023-01-01
Type of Work
Department
Mechanical Engineering
Program
Engineering, Mechanical
Citation of Original Publication
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Access limited to the UMBC community. Item may possibly be obtained via Interlibrary Loan thorugh a local library, pending author/copyright holder's permission.
Access limited to the UMBC community. Item may possibly be obtained via Interlibrary Loan through a local library, pending author/copyright holder's permission.
Access limited to the UMBC community. Item may possibly be obtained via Interlibrary Loan thorugh a local library, pending author/copyright holder's permission.
Abstract
Respiratory motion is a complication for radiation treatment (RT) of lung cancer. A moving and deforming tumor is difficult to radiate with a stationary beam. The tumor
will not receive the entire radiation dose and healthy tissue will be exposed to the
radiation. Management techniques like surrogate motion models (SMMs) have been
developed to help mitigate this problem by using 4-Dimensional CT (4DCT) scans to
predict tumor motion during the RT. These SMMs frequently use approximated
material property values for the lungs and tumor(s); however, errors caused by using
incorrect values are rarely investigated. This work presents an examination of the effect
material properties have on tumor movement and deformation using a finite element
(FE) model of the lung and tumor in COMSOL.
A range of values was assigned to density, Poisson?s ratio, and elastic modulus for the
lung and the tumor. Lung density showed no effect on tumor movement or deformation.
Displacement differences between material property values ranged from 0.0043-
1.5304cm. The lung elastic modulus has the greatest effect on tumor displacement, with
a range of 1.5cm. Lung Poisson?s ratio values affected displacement with a maximum
displacement range of 0.1942cm. Tumor elastic modulus and Poisson?s ratio showed
insignificant effects on displacement of the tumor.
It was concluded that the elastic modulus value for the lung should be a personalized
approximation to provide optimal modeling results in SMMs, thereby maximizing the
radiation dose to the tumor, minimizing radiation dose to the healthy tissue, and
improving the life of the patient.