Lung Cancer Radiotherapy: Simulation and Analysis Based on a Multicomponent Mathematical Model.

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.

Simulation analysis for tumor radiotherapy based on three-component mathematical models.

Objective: To setup a three-component tumor growth mathematical model and discuss its basic application in tumor fractional radiotherapy with computer simulation.

Method: First, 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.

[Film dose analysis system and its application in radiotherapy verification].

Objective: To propose a new computer software-based medical image processing technique with high resolution digital scanner for radiotherapy verification.

Methods: Under the platform of Windows 2000, the software, programmed with Visual C++.NET, was developed according to modular design.