首页> 外文期刊>Japanese journal of clinical oncology. >Prediction of radiation pneumonitis following high-dose thoracic radiation therapy by 3 Gy/fraction for non-small cell lung cancer: analysis of clinical and dosimetric factors.
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Prediction of radiation pneumonitis following high-dose thoracic radiation therapy by 3 Gy/fraction for non-small cell lung cancer: analysis of clinical and dosimetric factors.

机译:非小细胞肺癌3 Gy /分数对大剂量胸腔放疗后放射性肺炎的预测:临床和剂量学因素分析。

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OBJECTIVE: This study was undertaken to identify the factors predictive of radiation pneumonitis (RP) in 69 non-small cell lung cancer patients treated with thoracic radiation therapy only by 3 Gy fractions. METHODS: A total of 69 patients who received only RT in daily 3 Gy were included in this study. Grade > or =3 RP was defined as an RP event. The cumulative incidence of RP was estimated and the correlations of the development of RP with the potential predictors were determined. RESULTS: The cumulative incidence of events was 17.1% at 12 months. By univariate analysis, all clinical factors [age, performance status, weight loss, pre-RT forced expiratory volume in 1 s, tumour location, stage, RT dose and clinical target volume] were not associated with the risk of Grade > or =3 RP; however, all dosimetric factors [V5-50 and mean lung dose (MLD)] closely correlated with the development of RP. The receiver-operative characteristics (ROC) analysis revealed that MLD was the best predictors of Grade > or =3 RP (area under curve ROC = 0.937). By multivariate analysis, MLD was the only significant factor to be predictive of RP risk: the probability of Grade > or =3 RP was 3.7% when MLD < or = 16.1 Gy and 78.4% when MLD > 16.1 Gy. CONCLUSIONS: Dosimetric parameters were valuable in predicting the development of RP.
机译:目的:本研究旨在确定仅以3 Gy分数进行胸腔放射治疗的69例非小细胞肺癌患者中放射性肺炎(RP)的预测因素。方法:本研究共纳入69例每天3 Gy仅接受放疗的患者。等级大于或等于3的RP被定义为RP事件。估计RP的累积发生率,并确定RP的发展与潜在预测因素的相关性。结果:事件的累积发生率在12个月为17.1%。通过单因素分析,所有临床因素[年龄,性能状况,体重减轻,RT前强制呼气量在1 s,肿瘤部位,分期,RT剂量和临床目标量]均与>或= 3级的风险无关RP;但是,所有剂量学因素[V5-50和平均肺部剂量(MLD)]与RP的发展密切相关。接受者操作特征(ROC)分析显示,MLD是>或= 3 RP(曲线下ROC = 0.937的面积)的最佳预测指标。通过多变量分析,MLD是唯一可预测RP风险的重要因素:当MLD <或= 16.1 Gy时,≥3 RP的概率为3.7%,当MLD> 16.1 Gy时为78.4%。结论:剂量学参数对于预测RP的发展具有重要意义。

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