Predicting the dose absorbed by organs at risk during intensity modulated radiation therapy for nasopharyngeal carcinoma
Predicting the dose absorbed by organs at risk during intensity modulated radiation therapy for nasopharyngeal carcinoma
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DOI：
10.1259/bjr.20170289
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发表时间：
2018-01-01
影响因子：
2.6
通讯作者：
Wu, Jingbo
中科院分区：
文献类型：
--
作者：
Pang, Haowen;Sun, Xiaoyang;Wu, Jingbo
目的：建立预测鼻咽癌调强放射治疗期间危及器官（OAR）吸收剂量的模型。方法：对55例鼻咽癌患者进行调强放射治疗。将OAR分为多个亚器官，使用SPSS软件评估多重线性方法拟合每个亚器官的归一化体积、归一化平均剂量（D-mean）D-nm（D-nm=D-mean/D-处方）和归一化D-10％-D-100％值Dn10％-n100％（D-n10％-（n100％）=每个 OAR 的 D-10%-D-100%/D-处方）。基于Matlab软件，对预测的Dn10%-n100%值进行拟合，得到预测的DVH曲线。结果：多重线性拟合公式显示口腔D-n100%（p = 0.017）、腮腺D-n100%（p = 0.001）和剩余OAR（均p < 0.0001）结果显着。相关系数和p值表明拟合公式拟合良好。 White 检验的 p 值表明预测模型是稳健的。该方法已成功用于验证病例。结论：本研究为鼻咽癌OAR吸收剂量的预测提供了一种简单有效的模型。知识进展：该方法是一个相对简单的数学模型，只需使用处方剂量和V-o-V-n来预测D-mean和D10%-100%，该预测不需要购买新的治疗计划软件模块或提取OAR每个采样点与剂量信息的距离。
Objective: To develop a model for predicting the dose absorbed by organ at risk (OAR) during intensity modulated radiation therapy for nasopharyngeal carcinoma (NPC).Methods: 55 patients underwent intensity modulated radiation therapy for NPC. The OARs were divided into several suborgans, and SPSS software was used to evaluate multiple linear method for fitting the normalized volume for each suborgan, normalized mean dose (D-mean) D-nm (D-nm = D-mean/D-prescription), and normalized D-10%-D-100% values Dn10%-n100% (D-n10%-(n100%) = D-10%-D-100%/D-prescription) for each OAR. Based on the Matlab software, the predicted Dn10%-n100% value was fitted to obtain the predicted DVH curve.Results: The multiple linear fitting formulas revealed significant results for the oral cavity D-n100% (p = 0.017), the parotid gland D-n100% (p = 0.001), and the remaining OAR (all p < 0.0001). The correlation coefficients and p values indicated that the fitting formula was a good fit. The p values for the White test show that the prediction model is robust. This method was successfully used for verification cases.Conclusion: The present study provided a simple and effective model for predicting the dose absorbed by OAR for NPC.Advances In knowledge: This method is a relatively simple mathematical model, just use prescription dose and V-o-V-n to predict the D-mean and D10%-100%, which predict does not require buying new modules of treatment planning software or extracting the distance of each sampling point of the OAR with the dose information.