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A Prediction Model for Lymph Node Metastasis of Oral Squamous Cell Carcinoma Based on Multiple Risk Factors
Hongyu Shen1,2, Tonghan Zhang1,2, Shuoyu Wang2
1School of Stomatology, Jinan University, Guangzhou, China.
Clinical and Experimental Dental Research
|November 18, 2024
Summary
Cervical lymph node metastasis in oral cancer is predicted by a new model using tumor size and differentiation. This aids surgeons in deciding on neck dissection for oral squamous cell carcinoma (OSCC) patients.
Area of Science:
- Oncology
- Head and Neck Surgery
Background:
- Cervical lymph node metastasis (CLNM) is common in oral cancer.
- Accurate preoperative prediction of CLNM is crucial for treatment planning in oral squamous cell carcinoma (OSCC).
Purpose of the Study:
- To identify risk factors for CLNM in OSCC patients.
- To develop and validate a predictive model for preoperative CLNM assessment in OSCC.
Main Methods:
- Retrospective cohort study of 158 oral cancer patients.
- Regression analysis to identify risk factors.
- Area under the receiver operating characteristic (ROC) curve (AUC) used for model validation.
Main Results:
- Significant risk factors for metastasis include lymph node size, tumor size, degree of differentiation, and lymphovascular invasion (LVI).
- The developed clinical prediction model achieved an AUC of 0.8736, indicating good predictive accuracy.
Conclusions:
- A novel prediction model accurately assesses preoperative CLNM in OSCC patients.
- This model can guide surgical decisions regarding neck dissection and procedure selection.
