Background. Lung 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. Methods. In 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. Results. Some 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. Conclusion. It will be expected that in the near future, mathematical model will be a valuable tool for optimization in personalized medical treatment.

中文翻译：

---

肺癌放疗：基于多分量数学模型的模拟与分析

背景。肺癌一直是世界上最致命的疾病之一，放射治疗可以成为治疗肺癌的有效方法。现在，数学模型已经扩展到许多生物医学领域，为分析、评估、预测和优化提供了帮助。方法。在本文中，我们提出了一个多分量数学模型，用于模拟肺癌的生长以及肺癌的放射治疗。该模型经过数字化和计算机模拟编码，模型参数与许多研究和临床数据拟合，以提供与体外肺癌细胞生长一致的结果。结果. 对立体定向体部放疗、常规分段放疗、加速大分割放疗等典型放疗方案进行了模拟、分析和讨论。结果表明，我们的数学模型可以为放射治疗方案的分析和评估完成基础工作。结论。预计在不久的将来，数学模型将成为个性化医疗优化的宝贵工具。