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Comparison of Two Treatment Planning Systems (Core PLAN and TiGRT) Using the Figure of Merit Equivalent Uniform Dose (fEUD) for Optimization of Radiotherapy Treatment
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Susan Cheraghi   1, Saba Azhang2 , Zeinab Hormozi-Moghaddam2 , Leila Alipour FiroozAbadI3 |
1- Iran University of Medical Sciences , cheraghi.s@iums.ac.ir
2- Iran University of Medical Sciences
3- Yasuj University of Medical Sciences |
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Abstract: (327 Views) |
Abstract
Introduction: The aim of this study was to utilize the figure of merit equivalent uniform dose (fEUD) for optimization of treatment and compare two different treatment planning systems using 3D-CRT radiotherapy.
Materials and Methods: To compare treatment efficacy in two treatment planning systems, Core PLAN and TiGRT, 20 treatment plans were designed for the treatment of head and neck and prostate tumors. The dose-volume histograms were compared with each other, and the results of each treatment plan were analyzed using the fEUD index. Statistical analysis was performed using the student t-test.
Results: The produced treatment plans of the two systems had similar and comparable performance (P-value = 0.46), but in the Core PLAN system, due to the higher fEUD index compared to TiGRT, fewer surrounding healthy tissues were at risk of being irradiated. The use of the fEUD index, similar to biology-based models and parameters during the use of treatment planning systems, highlights the optimization of radiation therapy. In terms of comparing tumor radiation exposure and protection of normal tissues, the CorePLAN treatment system may be suitable for complex or challenging treatments where treatment plan optimization and quality are very important. However, TiGRT may be suitable for simple or routine treatments where efficiency and ease of use are important.
Conclusion: Further research is needed to confirm these findings and explore the potential advantages and limitations of the two treatment planning systems, TiGRT and CorePLAN, in different treatment settings.
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| Keywords: fEUD index, Treatment Planning System, Radiotherapy |
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Type of Study: Research |
Subject:
Radiology
Received: 2023/10/4 | Accepted: 2024/02/26 | Published: 2024/03/16
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