ArticleComputational and mathematical methods in medicine2021
Lung Cancer Radiotherapy: Simulation and Analysis Based on a Multicomponent Mathematical Model.
Article in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Circulating Tumor Cells for the Monitoring of Lung Cancer Therapies.International journal of molecular sciences · 2025Review
- Irradiated obese adipocytes are prone to oxidative stress, inflammation, senescence, and fibrosis.Scientific reports · 2025Article
- Nested CNN architecture for three-dimensional dose distribution prediction in tomotherapy for prostate cancer.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2025Article
- Article
- Predicting lung cancer's metastats' locations using bioclinical model.Frontiers 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
- Chemoimmunotherapy Administration Protocol Design for the Treatment of Leukemia through Mathematical Modeling and In Silico Experimentation.Pharmaceutics · 2022Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLung cancer has been one of the most deadly illnesses all over the world, and radiotherapy can be an effective approach for treating lung cancer. Now, mathematical model has been extended to many biomedical fields to give a hand for analysis, evaluation, prediction, and optimization.
methodsIn this paper, we propose a multicomponent mathematical model for simulating the lung cancer growth as well as radiotherapy treatment for lung cancer. The model is digitalized and coded for computer simulation, and the model parameters are fitted with many research and clinical data to provide accordant results along with the growth of lung cancer cells in vitro.
resultsSome typical radiotherapy plans such as stereotactic body radiotherapy, conventional fractional radiotherapy, and accelerated hypofractionated radiotherapy are simulated, analyzed, and discussed. The results show that our mathematical model can perform the basic work for analysis and evaluation of the radiotherapy plan.
conclusionIt will be expected that in the near future, mathematical model will be a valuable tool for optimization in personalized medical treatment.
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