Department of Head and Neck Oncology, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham, Kochi, India.
IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Head Neck. 2021 Apr;43(4):1043-1055. doi: 10.1002/hed.26554. Epub 2021 Feb 2.
Nomograms applying the 8th edition of the TNM staging system aimed at predicting overall (OS), disease-specific (DSS), locoregional recurrence-free (LRRFS) and distant recurrence-free survivals (DRFS) for oral tongue squamous cell carcinoma (OTSCC) are still lacking.
A training cohort of 438 patients with OTSCC was retrospectively enrolled from a single institution. An external validation set of 287 patients was retrieved from two independent institutions.
Internal validation of the multivariable models for OS, DSS, DRFS and LRRFS showed a good calibration and discrimination results with optimism-corrected c-indices of 0.74, 0.75, 0.77 and 0.70, respectively. The external validation confirmed the good performance of OS, DSS and DRFS models (c-index 0.73 and 0.77, and 0.73, respectively) and a fair performance of the LRRFS model (c-index 0.58).
The nomograms herein presented can be implemented as useful tools for prediction of OS, DSS, DRFS and LRRFS in OTSCC.
目前仍缺乏适用于第八版 TNM 分期系统的列线图，以预测口腔舌鳞状细胞癌（OTSCC）的总生存（OS）、疾病特异性生存（DSS）、局部区域无复发生存（LRRFS）和远处无复发生存（DRFS）。
本研究回顾性纳入了来自单一机构的 438 例 OTSCC 患者作为训练队列，并从另外两个独立的机构中提取了 287 例患者作为外部验证队列。
多变量模型的内部验证结果显示，OS、DSS、DRFS 和 LRRFS 的校准和区分度均较好，经校正后的 C 指数分别为 0.74、0.75、0.77 和 0.70。外部验证结果也确认了 OS、DSS 和 DRFS 模型的良好表现（C 指数分别为 0.73、0.77 和 0.73），以及 LRRFS 模型的中等表现（C 指数为 0.58）。
本研究建立的列线图可作为预测 OTSCC 患者 OS、DSS、DRFS 和 LRRFS 的有用工具。
