国际肿瘤学杂志 ›› 2024, Vol. 51 ›› Issue (7): 453-457.doi: 10.3760/cma.j.cn371439-20230715-00074

• 论著 • 上一篇    下一篇

接受预防性脑部放疗局限期SCLC患者缓解后脑转移发生危险因素及预测模型构建

余宏鑫1, 白燕1, 巩媛1, 王健庄2, 范志刚3()   

  1. 1三二〇一医院呼吸与危重症医学科,汉中 723000
    2三二〇一医院核医学科,汉中 723000
    3三二〇一医院肿瘤内一科,汉中 723000
  • 收稿日期:2023-07-15 修回日期:2024-04-08 出版日期:2024-07-08 发布日期:2024-08-14
  • 通讯作者: 范志刚,Email: fanzg0418@163.com

Risk factors and predictive model construction of brain metastases in patients with limited-stage SCLC undergoing preventive brain radiotherapy after remission

Yu Hongxin1, Bai Yan1, Gong Yuan1, Wang Jianzhuang2, Fan Zhigang3()   

  1. 1Department of Respiratory and Critical Care Medicine, 3201 Hospital, Hanzhong 723000, China
    2Department of Nuclear Medicine, 3201 Hospital, Hanzhong 723000, China
    3First Department of Medical Oncology, 3201 Hospital, Hanzhong 723000, China
  • Received:2023-07-15 Revised:2024-04-08 Online:2024-07-08 Published:2024-08-14
  • Contact: Fan Zhigang, Email: fanzg0418@163.com

摘要:

目的 探讨接受预防性脑部放疗局限期小细胞肺癌(SCLC)患者缓解后脑转移发生的危险因素并构建预测模型。方法 选择2015年1月至2023年1月于三二〇一医院接受放化疗且达到缓解的231例局限期SCLC患者为研究对象。采用logistic回归分析接受预防性脑部放疗局限期SCLC患者缓解后脑转移发生的影响因素,并采用二元logistic回归构建预测模型,受试者操作特征(ROC)曲线评价各项指标及预测模型对患者发生脑转移的诊断效能。结果 全组患者中位随访时长73个月,发生脑转移42例,发生率为18.18%。不同T分期(Z=-4.97,P<0.001)、临床分期(Z=-8.17,P<0.001)、初始治疗至胸部放疗时间(χ2=21.38,P<0.001)的患者脑转移发生率比较差异均有统计学意义。多因素分析显示,T分期(T3期:OR=6.29,95%CI为1.58~25.06,P=0.009;T4期:OR=12.91,95%CI为3.74~44.57,P<0.001)、临床分期(Ⅱ期:OR=8.75,95%CI为2.89~26.51,P<0.001;Ⅲ期:OR=18.43,95%CI为7.24~46.92,P<0.001)、初始治疗至胸部放疗时间(OR=0.25,95%CI为0.11~0.56,P=0.001)均是接受预防性脑部放疗局限期SCLC患者缓解后脑转移发生的独立影响因素。基于上述指标建立的诊断预测模型为logit(P)=-19.91+1.84×T3期+2.56×T4期+2.17×Ⅱ期+2.91×Ⅲ期-1.38×初始治疗至胸部放疗时间。ROC曲线分析显示,T分期、临床分期、初始治疗至胸部放疗时间、诊断预测模型预测接受预防性脑部放疗局限期SCLC患者缓解后发生脑转移的曲线下面积分别为0.728、0.660、0.687、0.846,诊断预测模型的曲线下面积明显大于其他指标(均P<0.05)。结论 T分期、临床分期及初始治疗至胸部放疗时间均为接受预防性脑部放疗局限期SCLC患者缓解后脑转移发生的影响因素;基于以上指标构建的诊断预测模型有助于指导临床医生早期准确筛选脑转移高危人群。

关键词: 小细胞肺癌, 放射疗法, 脑转移, 模型

Abstract:

Objective To investigate the risk factors of brain metastases in patients with limited-stage small cell lung cancer (SCLC) undergoing preventive brain radiotherapy after remission and to construct prediction model. Methods A total of 231 patients with limited-stage SCLC who received chemoradiotherapy and achieved remission in 3201 Hospital from January 2015 to January 2023 were selected as the study objects. Logistic regression was used to analyze the influencing factors on the occurrence of brain metastases after remission in patients with limited-stage SCLC who received preventive brain radiotherapy. Binary logistic regression was used to construct a prediction model. Receiver operator characteristic (ROC) curve was used to evaluate the diagnostic efficacy of each indicator and the prediction model on the occurrence of brain metastases in patients. Results The median follow-up time of the whole group was 73 months, and 42 cases of brain metastases occurred, with an incidence rate of 18.18%. There were statistically significant differences in the incidence of brain metastases among patients with different T stage (Z=-4.97, P<0.001), clinical stage (Z=-8.17, P<0.001), and time from initial treatment to thoracic radiotherapy (χ2=21.38, P<0.001). Multivariate analysis showed that T stage (stage T3OR=6.29, 95%CI: 1.58-25.06, P=0.009; stage T4OR=12.91, 95%CI: 3.74-44.57, P<0.001), clinical stage (stageⅡ, OR=8.75, 95%CI: 2.89-26.51, P<0.001; stage Ⅲ, OR=18.43, 95%CI: 7.24-46.92, P<0.001), and time from initial treatment to thoracic radiotherapy (OR=0.25, 95%CI: 0.11-0.56, P=0.001) were independent influencing factors on the occurrence of brain metastases after remission in patients with limited-stage SCLC who received preventive brain radiotherapy. The diagnostic prediction model based on the above indicators was logit(P)=-19.91+1.84× stage T3 +2.56× stage T4+2.17× stage Ⅱ+2.91× stage Ⅲ-1.38× time from initial treatment to thoracic radiotherapy. ROC curve analysis showed that the area under the curve of T stage, clinical stage, time from initial treatment to thoracic radiotherapy, and the diagnostic prediction model for predicting the occurrence of brain metastasis after remission in patients with limited-stage SCLC who received preventive brain radiotherapy were 0.728, 0.660, 0.687, and 0.846, respectively, and the area under the curve of the diagnostic prediction model was significantly larger than those of the other indicators (all P<0.05). Conclusion T stage, clinical stage and the time from initial treatment to thoracic radiotherapy are all influential factors for the occurrence of brain metastases after remission in patients with limited-stage SCLC who received preventive brain radiotherapy. The diagnostic prediction model based on the above indicators can help to guide clinicians to accurately screen patients at high risk of brain metastases in the early stage.

Key words: Small cell lung carcinoma, Radiotherapy, Brain metastasis, Models