Evaluation of The Dosimetric Impact of Different Planning Algorithms in IMRT For Lung Tumors

Planning Algorithms in IMRT for Lung Cancer

Authors

DOI:

https://doi.org/10.63187/ampas.37

Keywords:

IMRT, Monte Carlo Algorithm, Pencil Beam Algorithm, Anisotropic Analytical Algorithm

Abstract

Lung cancer represents a major public health concern as it is the malignancy with the highest mortality rate among all cancers. Radiotherapy is an effective treatment modality used both with curative and palliative intent in the management of lung cancer. In this study, the aim was to evaluate the effects of different treatment planning algorithms on critical organs and the target tumor by using Intensity-Modulated Radiotherapy (IMRT) techniques in patients with lung-located tumors. This study was accomplished in a group of 19 patients with lung localized tumors who were treated in our clinic. In the treatment planning of the patients; Elekta-Monaco TPS and Anisotropic Analytical Algorithm with Monte Carlo, Collapse Cone, Pencil Beam algorithms, Varian-Eclipse TPS with Acuros XB algorithms were used. In these treatment planning systems, plans were done by 6MV photon energy using IMRT techniques. The prescribed dose to the PTV was 60Gy in 30 fractions. Five-field non coplanar IMRT plans were generated for each patient. The dose distribution of the planing target volume (PTV) and organs at risk (OAR) were analyzed by comparing all the plans. All differences between plans were evaluated sttistically. Statistical analysis was performed using  SPSS Statistics v.29.0.2.0 programme . The Friedman test was used to compare independent groups, with a significance level of p < 0.05 considered statistically significant. If the Friedman test indicated significance, the results were evaluated using the Bonferroni-corrected Wilcoxon rank test.  In the analysis of plans using the 'Step and Shoot' IMRT technique, significant differences were found among algorithms in the Dmean, D2, and D5 values for the target volume and the Dmean values for critical organs. Notably, there were marked differences in the low-dose volume regions of the total lung, contralateral lung, and ipsilateral lung.

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Published

2025-09-30

How to Cite

ÇAĞLAN, A., & DİRİCAN, B. (2025). Evaluation of The Dosimetric Impact of Different Planning Algorithms in IMRT For Lung Tumors: Planning Algorithms in IMRT for Lung Cancer. Advances in Medical Pyhsics and Applied Sciences, 1(3), 77–85. https://doi.org/10.63187/ampas.37