天津医药 ›› 2026, Vol. 54 ›› Issue (10): 1081-1086.doi: 10.11958/20260425

• 临床研究 • 上一篇    下一篇

NSCLC患者放射治疗后发生症状性放射性肺炎的列线图预测模型构建及验证

毛义翔(), 王海东△(), 杭业, 宋锦   

  1. 盐城市第三人民医院肿瘤放射治疗科 (邮编 224000)
  • 收稿日期:2026-02-06 修回日期:2026-03-27 出版日期:2026-10-15 发布日期:2026-10-10
  • 通讯作者: △E-mail:1499299393@qq.com
  • 作者简介:毛义翔(1990),男,主治医师,主要从事肿瘤放射治疗方面研究。E-mail:1299123012@qq.com

Construction and validation of a nomogram prediction model for symptomatic radiation pneumonitis after radiotherapy in patients with NSCLC

MAO Yixiang(), WANG Haidong△(), HANG Ye, SONG Jin   

  1. Department of Radiation Oncology, Yancheng Third People’s Hospital, Yancheng 224000, China
  • Received:2026-02-06 Revised:2026-03-27 Published:2026-10-15 Online:2026-10-10
  • Contact: △E-mail:1499299393@qq.com

摘要:

目的 构建非小细胞肺癌(NSCLC)患者放射治疗后发生症状性放射性肺炎(SRP)的列线图预测模型并进行验证。方法 选取360例NSCLC患者,采用简单随机抽样法按3∶1分为训练集(270例)与验证集(90例)。所有患者于放射治疗结束后接受6个月的随访,训练集患者依据是否发生SRP分为SRP组(83例)与非SRP组(187例);对比2组的一般临床资料、实验室指标、剂量学参数,应用多因素Logistic回归分析NSCLC患者放射治疗后发生SRP的影响因素;构建并验证SRP发生的列线图预测模型。结果 与非SRP组比较,SRP组有肺部基础疾病史、美国东部肿瘤协作组(ECOG)评分为2分、序贯放化疗比例高,病灶位置中央型比例低,降钙素原、中性粒细胞计数水平升高,血小板、嗜酸性粒细胞计数水平降低,计划靶区(PTV)增大,接受5、20 Gy照射时的肺脏体积占全肺总体积的百分比(V5、V20)水平增加(P<0.05)。多因素Logistic回归分析显示,有肺部基础疾病史、ECOG评分为2分、PTV增大、序贯放化疗及V20水平高是NSCLC患者发生SRP的独立危险因素,病灶位置为中央型是其独立保护因素(P<0.05)。据此构建的列线图预测模型在训练集、验证集中预测SRP的受试者工作特征(ROC)曲线下面积为0.826(95%CI:0.775~0.869)、0.897(95%CI:0.815~0.951);Hosmer-Lemeshow拟合优度检验显示,该模型在训练集(χ2=3.913,P=0.865)、验证集(χ2=6.482,P=0.593)中的预测效能较好,校准曲线与理想曲线较为接近,决策曲线表明该模型能获得净收益。结论 基于NSCLC患者放射治疗后相关因素构建的列线图预测模型对SRP有较好的预测效能。

关键词: 癌, 非小细胞肺, 放射疗法, 辐射性肺炎, 列线图, 症状性放射性肺炎

Abstract:

Objective To construct and validate a nomogram prediction model for symptomatic radiation pneumonitis (SRP) in patients with non-small cell lung cancer (NSCLC) after radiotherapy. Methods A total of 360 patients with NSCLC were selected and divided into the training set (270 cases) and the validation set (90 cases) at a 3∶1 ratio using a simple random sampling method. All patients were followed up for 6 months after the end of radiotherapy. Patients in the training set were divided into the SRP group (83 cases) and the non-SRP group (187 cases) according to whether SRP occurred. General clinical data, laboratory indicators and dosimetry parameters were compared between the two groups. Multivariate Logistic regression was used to analyze factors influencing the occurrence of SRP in patients with NSCLC after radiotherapy. A nomogram prediction model for SRP was constructed and validated. Results Compared with the non-SRP group, the SRP group showed higher proportions of patients with history of underlying pulmonary disease, patients with Eastern Cooperative Oncology Group (ECOG) scores of 2 and patients receiving sequential radiotherapy and chemotherapy, and a lower proportion of patients with central-type lesions, higher procalcitonin levels and neutrophil count, lower levels of platelet count and eosinophil count, larger planning target volume (PTV), higher percentage of total lung volume receiving≥5 and ≥20 Gy irradiation (V5, V20, P<0.05). Multivariate Logistic regression analysis showed that having history of underlying pulmonary disease, ECOG score of 2, increased PTV, sequential radiotherapy and chemotherapy and high V20 were independent risk factors for SRP in patients with NSCLC, while central-type lesion was an independent protective factor (P<0.05). The areas under the receiver operating characteristic (ROC) curve of the constructed model for predicting SRP in the training set and the validation set were 0.826 (95%CI: 0.775-0.869) and 0.897 (95%CI: 0.815-0.951), respectively. Hosmer-Lemeshow goodness of fit test showed χ2=3.913, P=0.865 in the training set, and χ2=6.482, P=0.593 in the validation set, indicating good model fit. The calibration curve was relatively close to the ideal curve, and decision curve analysis indicated that the model could obtain net benefits. Conclusion The nomogram prediction model constructed based on risk factors in patients with NSCLC after radiotherapy demonstrates good predictive efficacy.

Key words: carcinoma, non-small-cell lung, radiotherapy, radiation pneumonitis, nomogram, symptomatic radiation pneumonitis

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