Department of Radiation Medicine, KPV4, Oregon Health&Science University, 3181 SW Sam Jackson Park Rd, Portland, OR 97239-3098, USA.
JAMA Otolaryngol Head Neck Surg. 2013 Jun;139(6):554-9. doi: 10.1001/jamaoto.2013.3001.
After surgical resection for oral cavity squamous cell carcinoma, adjuvant radiotherapy may be recommended for patients at higher risk for locoregional recurrence, but it can be difficult to predict whether a particular patient will benefit.
To construct a model to predict which patients with oral cavity squamous cell carcinoma would benefit from adjuvant radiotherapy.
We constructed several types of survival models using a set of 979 patients with oral cavity squamous cell carcinoma. Covariates were age, sex, tobacco use, stage, grade, margins, and subsite. The best performing model was externally validated on a set of 431 patients.
The model was based on a set of 979 patients with oral cavity squamous cell carcinoma, including 563 from Memorial Sloan Kettering Cancer Center, New York, New York, and 416 from the Hospital AC Camargo, São Paulo, Brazil. The validation set consisted of 431 patients from Princess Margaret Hospital, Toronto, Ontario, Canada.
The primary outcome measure of interest was locoregional recurrence-free survival.
The lognormal model showed the best performance per the Akaike information criterion. An online nomogram was built from this model that estimates locoregional failure-free survival with and without postoperative radiotherapy.
A web-based nomogram can be used as a decision aid for adjuvant treatment decisions for patients with oral cavity squamous cell carcinoma.
口腔鳞状细胞癌手术后，对于局部区域复发风险较高的患者，可能会推荐辅助放疗，但很难预测特定患者是否会受益。
构建一种预测口腔鳞状细胞癌患者是否受益于辅助放疗的模型。
我们使用一组 979 例口腔鳞状细胞癌患者构建了几种类型的生存模型。协变量包括年龄、性别、吸烟、分期、分级、切缘和部位。表现最佳的模型在一组 431 例患者中进行了外部验证。
该模型基于一组 979 例口腔鳞状细胞癌患者，其中包括来自纽约州纽约市纪念斯隆凯特琳癌症中心的 563 例患者和来自巴西圣保罗的 AC Camargo 医院的 416 例患者。验证集由来自安大略省多伦多的玛格丽特公主医院的 431 例患者组成。
主要研究终点为局部区域无复发生存率。
对数正态模型根据赤池信息量准则显示出最佳性能。从该模型构建了一个在线列线图，可估计有无术后放疗的局部区域无失败生存情况。
一个基于网络的列线图可以作为口腔鳞状细胞癌患者辅助治疗决策的辅助决策工具。
