ArticleJournal of applied clinical medical physics2019
Simulation analysis for tumor radiotherapy based on three-component mathematical models.
Article in Journal of applied clinical medical physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Assessing tumor volumetric reduction with consideration for setup errors based on mathematical tumor model and microdosimetric kinetic model in single-isocenter VMAT for brain metastases.Physical and engineering sciences in medicine · 2024Article
- Mathematical model combined with microdosimetric kinetic model for tumor volume calculation in stereotactic body radiation therapy.Scientific reports · 2023Article
- Multicomponent mathematical model for tumor volume calculation with setup error using single-isocenter stereotactic radiotherapy for multiple brain metastases.Physical and engineering sciences in medicine · 2023Article
- Exposure-response modeling improves selection of radiation and radiosensitizer combinations.Journal of pharmacokinetics and pharmacodynamics · 2022Article
- Model Calibration of Pharmacokinetic-Pharmacodynamic Lung Tumour Dynamics for Anticancer Therapies.Journal of clinical medicine · 2022Article
- Lung Cancer Radiotherapy: Simulation and Analysis Based on a Multicomponent Mathematical Model.Computational and mathematical methods in medicine · 2021Article
- Re: Simulation analysis for tumor radiotherapy based on three-component mathematical models.Journal of applied clinical medical physics · 2019Article
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Abstract
objectiveTo setup a three-component tumor growth mathematical model and discuss its basic application in tumor fractional radiotherapy with computer simulation.
methodFirst, our three-component tumor growth model extended from the classical Gompertz tumor model was formulated and applied to a fractional radiotherapy with a series of proper parameters. With the computer simulation of our model, the impact of some parameters such as fractional dose, amount of quiescent tumor cells, and α/β value to the effect of radiotherapy was also analyzed, respectively.
resultsWith several optimal technologies, the model could run stably and output a series of convergent results. The simulation results showed that the fractional radiotherapy dose could impact the effect of radiotherapy significantly, while the amount of quiescent tumor cells and α/β value did that to a certain extent.
conclusionsSupported with some proper parameters, our model can simulate and analyze the tumor radiotherapy program as well as give some theoretical instruction to radiotherapy personalized optimization.
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