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预测接受立体定向体部放疗的Ⅰ期非小细胞肺癌患者疾病进展的列线图。

Nomograms for predicting disease progression in patients of Stage I non-small cell lung cancer treated with stereotactic body radiotherapy.

作者信息

Ye Luxi, Shi Shiming, Zeng Zhaochong, Huang Yan, Hu Yong, He Jian

机构信息

Department of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai, China.

出版信息

Jpn J Clin Oncol. 2018 Feb 1;48(2):160-166. doi: 10.1093/jjco/hyx179.

Abstract

OBJECTIVE

Non-local progression is a major concern in non-small cell lung cancer (NSCLC) treated with stereotactic body radiotherapy (SBRT). Herein we aimed to create a pre-treatment prognostic nomogram for patients with Stage I NSCLC receiving SBRT.

METHODS

We retrospectively studied 182 eligible patients. Patients were randomly divided into a model (70%) group and a validation (30%) group. In the model group, thirteen parameters consisting of patient, treatment, and tumor factors were studied and multivariate Cox proportional hazards regression was performed to identify independent predictors for survival outcome, based on which we developed clinical nomogram. The nomogram was externally validated in the validation group.

RESULTS

Multivariate analysis showed that tumor size (P = 0.011) was the only factor correlated with 2-year overall survival, whereas 2-year locoregional control (LRC) was significantly related to tumor size (P = 0.024) and the maximum standardized uptake value (SUVmax) (P = 0.044), so does 2-year progression-free survival (PFS) (tumor size: P = 0.026; SUVmax: P = 0.038). Nomogram for 2-year LRC and 2-year PFS were created based on aforementioned results. The C-indexes for the nomograms to predict 2-year LRC and PFS were 0.816 and 0.804, respectively, in model group, and were 0.729 and 0.731, respectively, in the validation group. Calibration plots also showed that the model performed well.

CONCLUSIONS

Tumor of larger size and higher SUVmax predisposed patients to early onset of locoregional and distant progression. The nomogram developed in our study would be helpful in clinical decision-making and selection of patients who may benefit from more rigorous follow-up and aggressive systemic treatment plan.

摘要

目的

非局部进展是立体定向体部放疗(SBRT)治疗的非小细胞肺癌(NSCLC)的主要关注点。在此,我们旨在为接受SBRT的I期NSCLC患者创建一个治疗前预后列线图。

方法

我们回顾性研究了182例符合条件的患者。患者被随机分为模型组(70%)和验证组(30%)。在模型组中,研究了由患者、治疗和肿瘤因素组成的13个参数,并进行多变量Cox比例风险回归以确定生存结果的独立预测因素,在此基础上我们开发了临床列线图。该列线图在验证组中进行了外部验证。

结果

多变量分析显示,肿瘤大小(P = 0.011)是与2年总生存率相关的唯一因素,而2年局部区域控制(LRC)与肿瘤大小(P = 0.024)和最大标准化摄取值(SUVmax)(P = 0.044)显著相关,2年无进展生存期(PFS)也是如此(肿瘤大小:P = 0.026;SUVmax:P = 0.038)。基于上述结果创建了2年LRC和2年PFS的列线图。在模型组中,预测2年LRC和PFS的列线图的C指数分别为0.816和0.804,在验证组中分别为0.729和0.731。校准图也显示该模型表现良好。

结论

较大尺寸的肿瘤和较高的SUVmax使患者易于早期出现局部区域和远处进展。我们研究中开发的列线图将有助于临床决策以及选择可能从更严格的随访和积极的全身治疗计划中获益的患者。

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