School of Stomatology, Jinan University, Guangzhou, China.
Department of Oral and Maxillofacial Surgery, Hospital of Stomatology, Zhongshan, China.
Clin Exp Dent Res. 2024 Dec;10(6):e70046. doi: 10.1002/cre2.70046.
Cervical lymph node metastasis (CLNM) frequently occurs in oral cancer patients. This study aims to investigate risk factors associated with CLNM and predict CLNM preoperatively in patients with oral squamous cell carcinoma (OSCC).
This population-based, hospital retrospective cohort study included 158 patients with oral cancer. We performed regression analysis to determine risk factors and establish a model for predicting CLNM in patients with OSCC. To distinguish and validate the prediction model, we used the area under the receiver operating characteristic (ROC) curve (AUC).
Lymph node size, tumor size, degree of differentiation, and LVI were risk factors for cancer metastasis. The OR values were 1.245, 2.847, 2.527, and 6.945, respectively. The AUC value for the clinical prediction model was 0.8736 (95% CI: 0.8043-0.9429).
The prediction model for OSCC patients predicts CLNM and provides a new method for preoperative assessment of whether cervical lymph nodes are metastatic, as well as a guide for surgical treatment, including whether to carry out neck dissection and which neck dissection procedure to use.
口腔癌患者常发生颈部淋巴结转移（CLNM）。本研究旨在探讨与 CLNM 相关的危险因素，并预测口腔鳞状细胞癌（OSCC）患者的术前 CLNM。
本基于人群的医院回顾性队列研究纳入了 158 例口腔癌患者。我们进行了回归分析以确定危险因素，并为 OSCC 患者建立预测 CLNM 的模型。为了区分和验证预测模型，我们使用了接收者操作特征（ROC）曲线下的面积（AUC）。
淋巴结大小、肿瘤大小、分化程度和 LVI 是癌症转移的危险因素。OR 值分别为 1.245、2.847、2.527 和 6.945。临床预测模型的 AUC 值为 0.8736（95%CI：0.8043-0.9429）。
该 OSCC 患者的预测模型可预测 CLNM，并为术前评估颈部淋巴结是否转移提供了一种新方法，以及为手术治疗提供了指导，包括是否进行颈部清扫术以及采用哪种颈部清扫术。
