Department of Radiotherapy, Maastricht University Medical Centre +, The Netherlands.
Radiother Oncol. 2011 Jul;100(1):108-15. doi: 10.1016/j.radonc.2011.06.023. Epub 2011 Jul 23.
To advise laryngeal carcinoma patients on the most appropriate form of treatment, a tool to predict survival and local control is needed.
We performed a population-based cohort study on 994 laryngeal carcinoma patients, treated with RT from 1977 until 2008. Two nomograms were developed and validated. Performance of the models is expressed as the Area Under the Curve (AUC).
Unfavorable prognostic factors for overall survival were low hemoglobin level, male sex, high T-status, nodal involvement, older age, lower EQD(2T) (total radiation dose corrected for fraction dose and overall treatment time), and non-glottic tumor. All factors except tumor location were prognostic for local control. The AUCs were 0.73 for overall survival and 0.67 for local control. External validation of the survival model yielded AUCs of 0.68, 0.74, 0.76 and 0.71 for the Leuven (n=109), the VU Amsterdam (n=178), the Manchester (n=403) and the NKI cohort (n=205), respectively, while the validation procedure for the local control model resulted in AUCs of 0.70, 0.71, 0.72 and 0.62. The resulting nomograms were made available on the website www.predictcancer.org.
For patients with a laryngeal carcinoma treated with RT alone, we have developed visual, easy-to-use nomograms for the prediction of overall survival and primary local control. These models have been successfully validated in four external centers.
为了向喉癌患者提供最佳治疗方案,需要一种能够预测生存和局部控制的工具。
我们对 1977 年至 2008 年间接受放疗的 994 例喉癌患者进行了一项基于人群的队列研究。开发并验证了两个列线图。模型的性能用曲线下面积(AUC)表示。
总生存期的不利预后因素包括低血红蛋白水平、男性、高 T 分期、淋巴结受累、年龄较大、EQD(2T)(总放射剂量校正为分次剂量和总治疗时间)较低以及非声门型肿瘤。除肿瘤位置外,所有因素均与局部控制有关。总生存期和局部控制的 AUC 分别为 0.73 和 0.67。生存模型的外部验证结果显示,Leuven 队列(n=109)、VU 阿姆斯特丹队列(n=178)、曼彻斯特队列(n=403)和 NKI 队列(n=205)的 AUC 分别为 0.68、0.74、0.76 和 0.71,而局部控制模型的验证程序得出的 AUC 分别为 0.70、0.71、0.72 和 0.62。生成的列线图可在 www.predictcancer.org 网站上获得。
对于接受单纯放疗的喉癌患者,我们开发了易于使用的预测总生存期和原发局部控制的可视化列线图。这些模型已在四个外部中心成功验证。