Liu Lugen, Qiao Hao, Xiao Yanan, Tang Jianglin, Liu Ruiyuan
Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Gangzhou, 510515.
Department of Radiotherapy Oncology, Pingxiang People's Hospital, Pingxiang, 337000.
Zhongguo Yi Liao Qi Xie Za Zhi. 2024 Sep 30;48(5):533-538. doi: 10.12455/j.issn.1671-7104.240118.
To investigate the application of equivalent uniform dose (EUD) in intensity-modulated rotational radiotherapy and to explore optimization methods for improving the quality of modulated treatment plans.
The impact of the parameter in the EUD formula on the characteristics of the EUD curve was analyzed using Python. Thirty cases of head and neck tumors, thoracic tumors, and pelvic tumors were randomly selected for treatment planning. Dose optimization for the target area and organs at risk were performed using a physics-based optimization approach or an optimization approach that combines physical constraints with the EUD function. The dose distribution and compliance with constraints of the two groups of plans were compared, while also observing the effect of different values of on the planning outcomes.
The impact of the value of on the changes in EUD curve characteristics was consistent with its impact on the results of EUD plan optimization. When -15≤ ≤-5, the dose distribution in the target area was more uniform; when 1≤ ≤7, the effect on the uniform dose and low-dose regions in organs at risk was more noticeable; when 10≤ ≤30, the effect of constraining the high-dose regions in organs at risk was more pronounced, with the EUD for the target area and organs at risk exhibiting different expressions under different values. The study also found that the target dose distribution and the protection of organs at risk in the EUD optimization group were better than those in the physical optimization group only.
The -value has a significant impact on the, the dose distribution in the target area and the organ at risk, providing a reference for the setting of -value while using EUD to optimize the intensity modulation plan. The using of EUD optimization method can not only achieve excellent dose distribution in the target area, but also significantly reduce the normal tissue dose and the probability of complications, which has certain clinical application value.
