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局部晚期鼻咽癌患者无远处转移生存的列线图。

Nomogram for distant metastasis-free survival in patients with locoregionally advanced nasopharyngeal carcinoma.

机构信息

Department of Oncology, Xiangya Hospital, Central South University, 410008, Changsha, China.

Department of Radiation Oncology, Guilin Medical University Affiliated Hospital, 541001, Guilin, China.

出版信息

Strahlenther Onkol. 2022 Sep;198(9):828-837. doi: 10.1007/s00066-022-01926-1. Epub 2022 Apr 6.

Abstract

OBJECTIVE

To develop and validate a nomogram to predict distant metastasis-free survival of patients with locoregionally advanced nasopharyngeal carcinoma.

METHODS

We collected the total clinical data of 820 nasopharyngeal carcinoma (NPC) patients, of whom 482 formed the training cohort from one hospital and 328 made up the validation cohort from another hospital. By analyzing the prognosis of all patients after intensity-modulated radiotherapy by univariate and multivariate Cox regression models, a nomogram related to DMFS was created in the training cohort. The discriminatory and calibration power of the nomogram was successively assessed in the training and validation cohorts by the C‑index and calibration curve. The predictive ability for 3‑year DMFS was compared between the nomogram and TNM stage using ROC curves. Patients were divided into different risk groups based on scores calculated from the nomogram.

RESULTS

Age, lymph node gross tumor volume (GTVnd), and gross tumor volume of the nasopharynx (GTVnx) were the factors included in the nomogram. The C‑index of the nomogram was 0.721 in the training cohort and 0.750 in the validation cohort. The calibration curves were satisfactory. Patients in the high-risk group were more likely to develop metastases.

CONCLUSION

A nomogram incorporating age, GTVnd, and GTVnx showed good performance for predicting DMFS in patients with locoregionally advanced NPC.

摘要

目的

建立并验证一个列线图模型,以预测局部晚期鼻咽癌患者的无远处转移生存情况。

方法

我们收集了 820 例鼻咽癌(NPC)患者的总临床资料,其中 482 例来自一家医院的训练队列,328 例来自另一家医院的验证队列。通过对所有患者接受调强放疗后的预后进行单因素和多因素 Cox 回归模型分析,在训练队列中建立了一个与 DMFS 相关的列线图。在训练和验证队列中,通过 C 指数和校准曲线,对列线图的区分度和校准度进行了评估。使用 ROC 曲线比较了列线图和 TNM 分期对 3 年 DMFS 的预测能力。根据列线图计算的得分,将患者分为不同的风险组。

结果

年龄、淋巴结大体肿瘤体积(GTVnd)和鼻咽大体肿瘤体积(GTVnx)是列线图中包含的因素。列线图在训练队列中的 C 指数为 0.721,在验证队列中的 C 指数为 0.750。校准曲线令人满意。处于高危组的患者更有可能发生转移。

结论

一个包含年龄、GTVnd 和 GTVnx 的列线图在预测局部晚期 NPC 患者的无远处转移生存方面表现良好。

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