Advanced Diagnostic Imaging, Goodlettsville, TN, 37072, USA.
Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, 37232, USA.
Mod Pathol. 2019 Apr;32(4):539-545. doi: 10.1038/s41379-018-0166-8. Epub 2018 Nov 5.
The Vanderbilt staging system for retroperitoneal sarcoma incorporates information regarding the histologic subtype of sarcoma and outperforms the 7th and 8th editions of the AJCC staging systems by several different statistical criteria. The current study was performed using an independent patient cohort from the National Cancer Database (n = 6857) to validate this proposed staging system. Each staging system was assessed for degree of discrimination by pairwise comparisons of adjacent stage categories. Predictive accuracy of 5-year overall survival was performed by comparison of areas under receiver operating characteristic curves generated from logistic regression. Three different concordance indices (Harrell's c, Somers' D, and Gönen and Heller's K) were calculated using bootstrap methods. Amount of variation in observed outcomes explained by each staging system was assessed using O'Quigley's ρk and Royston's R. Bayesian information criteria were also assessed as measures of model fit. The revised AJCC 8th edition T categories were not effective in categorizing risk of death. The Vanderbilt staging system showed the best discrimination between adjacent tumor stages, highest predictive accuracy for 5-year overall survival, a higher degree of concordance with and explained variation of clinical outcomes, and resulted in the best fitting regression model. These results obtained with an independent dataset validate the Vanderbilt staging system for retroperitoneal sarcoma and demonstrate its superiority in risk stratification over current and prior editions of the AJCC staging system.
范德比尔特腹膜后肉瘤分期系统纳入了肉瘤组织学亚型的信息,通过多个不同的统计标准优于 AJCC 分期系统第 7 版和第 8 版。本研究使用来自国家癌症数据库(n=6857)的独立患者队列,对该分期系统进行了验证。通过比较相邻分期类别的配对比较,评估每个分期系统的区分程度。通过比较来自逻辑回归生成的受试者工作特征曲线下面积,来评估 5 年总生存率的预测准确性。使用 bootstrap 方法计算了三种不同的一致性指数(Harrell 的 c、Somers 的 D 和 Gönen 和 Heller 的 K)。使用 O'Quigley 的 ρk 和 Royston 的 R 评估每个分期系统解释观察结果变化的程度。还评估了贝叶斯信息准则作为模型拟合的度量。修订后的 AJCC 第 8 版 T 分期不能有效分类死亡风险。范德比尔特分期系统在相邻肿瘤分期之间显示出最佳的区分度,对 5 年总生存率的预测准确性最高,与临床结果的一致性更高,解释了更多的变异,并且导致回归模型拟合效果最佳。这些使用独立数据集获得的结果验证了范德比尔特腹膜后肉瘤分期系统,并证明其在风险分层方面优于 AJCC 分期系统的当前和以前版本。