Li Feiran, Huang Qiang, Hsueh Chiyao, Huang Huiying, Zhu Yi, Gong Hongli, Tao Lei, Zhou Liang, Zhang Ming
Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.
Department of Radiation Oncology, Eye & ENT Hospital, Fudan University, Shanghai, China.
Otolaryngol Head Neck Surg. 2023 May;168(5):1097-1106. doi: 10.1002/ohn.187. Epub 2023 Jan 19.
The purpose of our study is to establish a survival nomogram based on lymph node ratio (LNR) in hypopharyngeal carcinoma.
Retrospective cohort study.
Hypopharyngeal squamous cell carcinoma (HPSCC) is prone to regional metastasis. Emerging evidence has shown that LNR is a promising prognostic factor in HPSCC.
From January 2004 to January 2018, 411 HPSCC patients who underwent neck dissection at our institution were retrospectively studied. The enrolled patients were divided into training and validation cohorts at a ratio of 7:3. A survival nomogram was finally built based on factors screened from multivariate analysis using the bidirectional stepwise method.
LNR was superior to other nodal classifications for survival prediction and was used to establish the R classification. A nomogram was developed using R classification (p < .001), pT classification (p < .001), tumor invasive depth (p < .001), and internal jugular vein adhesion (p = .001). The C-indexes were 0.712 and 0.703 in the training and validation dataset. The 36- and 60-month AUCs were 0.767 and 0.766 in the training dataset and 0.713 and 0.757 in the validation dataset, respectively. The calibration curves showed relatively good agreement between the predicted and actual probability.
Based on the LNR, we developed a survival nomogram for HPSCC after neck dissection, which will be a practical tool to discriminate patients with different survival risks.
本研究旨在建立基于下咽癌淋巴结比率(LNR)的生存列线图。
回顾性队列研究。
下咽鳞状细胞癌(HPSCC)易于发生区域转移。新出现的证据表明,LNR是HPSCC中有前景的预后因素。
对2004年1月至2018年1月在我院接受颈部清扫术的411例HPSCC患者进行回顾性研究。将纳入的患者按7:3的比例分为训练队列和验证队列。最终基于使用双向逐步法从多变量分析中筛选出的因素构建生存列线图。
LNR在生存预测方面优于其他淋巴结分类,并用于建立R分类。使用R分类(p < 0.001)、pT分类(p < 0.001)、肿瘤浸润深度(p < 0.001)和颈内静脉粘连(p = 0.001)制定了列线图。训练数据集和验证数据集中的C指数分别为0.712和0.703。训练数据集中36个月和60个月的AUC分别为0.767和0.766,验证数据集中分别为0.713和0.757。校准曲线显示预测概率与实际概率之间具有较好的一致性。
基于LNR,我们制定了颈部清扫术后HPSCC的生存列线图,这将是区分具有不同生存风险患者的实用工具。