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Combing NLR V20 and mean lung dose to predict radiation induced lung injury in patients with lung cancer treated with intensity modulated radiation therapy and chemotherapy

机译:结合NLRV20和平均肺剂量以预测接受强度调制放射治疗和化学疗法治疗的肺癌患者的放射性肺损伤

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摘要

The purpose was to evaluate the predictive value of baseline neutrophil to lymphocyte ratio (NLR) level in the incidence of grade 3 or higher radiation induced lung injury (RILI) for lung cancer patients. A retrospectively analysis with 166 lung cancer patients was performed. All of the enrolled patients received chemoradiotherapy at our hospital between April 2014 and May 2016. The Cox proportional hazard model was used to identify the potential risk factors for RILI. In this cohort, the incidence of grade 3 or higher RILI was 23.8%. Univariate analysis showed that radiation dose, volume at least received 20Gy (V20), mean lung dose and NLR were significantly associated with the incidence of grade 3 or higher RILI (P = 0.012, 0.008, 0.012, and 0.039, respectively). Multivariate analysis revealed that total dose ≥ 60 Gy, V20 ≥ 20%, mean lung dose ≥ 12 Gy, and NLR ≥ 2.2 were still independent predictive factors for RILI (P = 0.010, 0.043, 0.028, and 0.015, respectively). A predictive model of RILI based on the identified risk factors was established using receiver operator characteristic curves. The results demonstrated that the combination analysis of V20, mean lung dose and NLR was superior to either of the variables alone. Additionally, we found that the constraint of V20 and mean lung dose were meaningful for patients with higher baseline NLR level. If the value of V20 and mean lung dose lower than the threshold value, the incidence of grade 3 or higher RILI for the high NLR level patients could be decreased from 63.3% to 8.7%. Our study showed that radiation dose, V20, mean lung dose and NLR were independent predictors for RILI. Combination analysis of V20, mean lung dose and NLR may provide a more accurate model for RILI prediction.
机译:目的是评估基线中性白细胞与淋巴细胞比率(NLR)水平在肺癌患者3级或更高水平的放射性肺损伤(RILI)发病率中的预测价值。对166例肺癌患者进行了回顾性分析。所有入选患者均于2014年4月至2016年5月间在我院接受了放化疗。使用Cox比例风险模型确定RILI的潜在风险因素。在该队列中,RILI 3级或更高的发生率为23.8%。单因素分析表明,放射剂量,至少接受20Gy的体积(V20),平均肺部剂量和NLR与RILI 3级或更高的发生率显着相关(分别为P = 0.012、0.008、0.012和0.039)。多变量分析显示,总剂量≥60 Gy,V20≥20%,平均肺部剂量≥12 Gy和NLR≥2.2仍是RILI的独立预测因素(分别为P = 0.010、0.043、0.028和0.015)。使用接收者的操作员特征曲线,建立了基于已识别风险因素的RILI预测模型。结果表明,V20,平均肺部剂量和NLR的组合分析优于任何一个变量。此外,我们发现V20的约束和平均肺部剂量对基线NLR水平较高的患者有意义。如果V20值和平均肺部剂量低于阈值,则高NLR水平患者的RILI 3级或更高的发生率可以从63.3%降低到8.7%。我们的研究表明,放射线剂量,V20,平均肺部剂量和NLR是RILI的独立预测因子。 V20,平均肺部剂量和NLR的组合分析可为RILI预测提供更准确的模型。

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