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首页> 外文期刊>Physics in medicine and biology. >NTCP modelling and pulmonary function tests evaluation for the prediction of radiation induced pneumonitis in non-small-cell lung cancer radiotherapy
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NTCP modelling and pulmonary function tests evaluation for the prediction of radiation induced pneumonitis in non-small-cell lung cancer radiotherapy

机译:NTCP建模和肺功能测试评估对非小细胞肺癌放疗中放射性肺炎的预测

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摘要

This work aims to evaluate the predictive strength of the relative seriality, parallel and Lyman-Kutcher-Burman (LKB) normal tissue complication probability (NTCP) models regarding the incidence of radiation pneumonitis (RP), in a group of patients following lung cancer radiotherapy and also to examine their correlation with pulmonary function tests (PFTs). The study was based on 47 patients who received radiation therapy for stage III non-small-cell lung cancer. For each patient, lung dose volume histograms (DVHs) and the clinical treatment outcome were available. Clinical symptoms, radiological findings and pulmonary function tests incorporated in a post-treatment follow-up period of 18 months were used to assess the manifestation of radiation induced complications. Thirteen of the 47 patients were scored as having radiation induced pneumonitis, with RTOG criteria grade >= 3 and 28 of the 47 with RTOG criteria grade >= 2. Using this material, different methods of estimating the likelihood of radiation effects were evaluated, by analysing patient data based on their full dose distributions and associating the calculated complication rates with the clinical follow-up records. Lungs were evaluated as a paired organ as well as individual lungs. Of the NTCP models examined in the overall group considering the dose distribution in the ipsilateral lung, all models were able to predict radiation induced pneumonitis only in the case of grade 2 radiation pneumonitis score, with the LKB model giving the best results (chi(2)-test: probability of agreement between the observed and predicted results P chi(chi(2))= 0.524 using the 0.05 significance level). The NTCP modelling considering lungs as a paired organ did not give statistically acceptable results. In the case of lung cancer radiotherapy, the application of different published radiobiological parameters alters the NTCP results, but not excessively as in the case of breast cancer radiotherapy. In this relatively small group of lung cancer patients, no positive statistical correlation could be established between the incidence of radiation pneumonitis as estimated by NTCP models and the pulmonary function test evaluation. However, the use of PFTs as markers or predictors for the incidence or severity of radiation induced pneumonitis must be investigated further.
机译:这项工作旨在评估一组肺癌放疗后患者的相对序列,平行和Lyman-Kutcher-Burman(LKB)正常组织并发症概率(NTCP)模型对放射性肺炎(RP)发病率的预测强度并检查它们与肺功能检查(PFT)的相关性。该研究基于47位接受了III期非小细胞肺癌放疗的患者。对于每位患者,都可以获得肺部剂量体积直方图(DVH)和临床治疗结果。在治疗后18个月的随访期内,结合临床症状,影像学检查结果和肺功能检查来评估放射诱发并发症的表现。在47例患者中,有13例被评定为辐射诱发性肺炎,RTOG标准等级≥3,而在47例中RTOG标准等级≥2。使用这种材料,通过以下方法评估了估计放射线影响可能性的不同方法:根据患者的全剂量分布分析患者数据,并将计算出的并发症发生率与临床随访记录相关联。肺被评估为成对器官以及单个肺。在考虑了同侧肺的剂量分布的整个组中检查的NTCP模型中,所有模型仅能在2级放射性肺炎评分的情况下预测放射性诱发的肺炎,其中LKB模型给出的结果最好(chi(2检验):使用0.05的显着性水平,观察结果和预测结果之间的一致性概率P chi(chi(2))= 0.524)。将肺部视为配对器官的NTCP建模未给出统计上可接受的结果。对于肺癌放疗,应用不同的已公布放射生物学参数会改变NTCP结果,但不会像乳腺癌放疗那样过度改变。在这一相对较小的肺癌患者群体中,通过NTCP模型估算的放射性肺炎发生率与肺功能测试评估之间没有建立正相关的统计关系。但是,必须进一步研究使用PFT作为放射性诱发肺炎的发生率或严重性的标志物或预测因子。

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