Background: Lung cancer is one of the leading causes of morbidity and mortality worldwide, so effective treatment methods are necessary. This study aimed to investigate lung cancer treatment by radiotherapy, and the dose changes to lung inhomogeneity density. Materials and Methods: The technique employed in this study was separated into two sections. For configurations and procedures in the first portion, a computerized care planning system was employed. After the primary data from the system has been corrected, phase two of the configuration was utilized to obtain experimental results using a container for ionization as a baseline. This study included treatment planning that involves highly specialized treatment for lung cancer and the shift in the variance of the dosage administered, as the density of the lungs constantly changes. Collapsed Cone Convolution Superposition (CCCS) has been used to help in evaluation the lung dose calculation approaches concerning relative lung density, treatment geometry, and dosage comparisons. Results: The outcome of this study suggests that homogeneous CCCS portions are within 1% of the adaptive convolution (AC) doses, implying that the AC, which benefits from faster processing times, is a good alternative for the CCCS. Conclusion: Dose absorption that is calculated by utilizing the TPS is based on the CCCS algorithm that provides an accurate result with the help of Monte Carlo Calculations under the circumstances of the heterogeneous media and low-density materials like the lungs. Keywords: Lung cancer, Small cell lung cancer, Non-small cell lung cancer, Radiotherapy, Dose Calculation, Heterogeneous media, Low-density materials.