ArticleClinical and experimental dental research2024
A Prediction Model for Lymph Node Metastasis of Oral Squamous Cell Carcinoma Based on Multiple Risk Factors.
Article in Clinical and experimental dental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Positron emission tomography/computed tomography radiomics-based prediction of cervical nodal metastasis in patients with tongue squamous cell carcinoma.Oral radiology · 2026Article
- Decoding Occult Cervical Lymph Node Metastasis in Head and Neck Squamous Cell Carcinoma: From AI-Driven Multimodal Fusion to Clinical Translation.Current oncology reports · 2026Review
- Magnetic resonance imaging-based radiomics analysis: predicting vascular invasion in breast invasive ductal carcinoma using different machine learning models.Translational cancer research · 2026Article
- Can we now save the neck of OSCC T1-T2 patients? A narrative review of whether experimental techniques are on the way to clinical application.Exploration of targeted anti-tumor therapy · 2026Review
- Development and validation of a prediction model for lymph node metastasis in oral squamous cell carcinoma using serum biomarkers.American journal of cancer research · 2025Article
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Authors and funding
3 authors.
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Abstract
objectivesCervical 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). MATERIALS AND
methodsThis 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).
resultsLymph 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).
conclusionsThe 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.
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