Elective Neck Dissection Decision Support Tool

This decision support tool is based on data from a multicentric retrospective study evaluating predictors of occult lymph node metastases in early-stage oral cavity squamous cell carcinoma (OCSCC). The study aims to refine recommendations for prophylactic neck dissection by integrating multiple histopathological parameters, such as Depth of Invasion (DOI), Lymphovascular Invasion (LVI), Perineural Invasion (PNI), and Tumor Grading.

The predictive model was developed using a multivariable logistic regression model to account for relationships between variables. This tool aims to help clinicians determine the probability of occult metastasis, guiding decisions on elective neck dissection (END).

Purpose of the Tool

This tool is designed to estimate the risk of occult lymph node metastases in cT1-T2 N0 OCSCC. A 20% threshold is commonly used to recommend END; however, this should be interpreted alongside clinical judgment and patient-specific factors.

Data Source

The study collected data from 30 Italian centers on patients with early-stage OCSCC. Histopathological parameters include DOI, LVI, PNI, and grading, with all data collected following stringent quality control measures. Statistical models were validated internally using cross-validation techniques.

How to Use

Enter the histopathological characteristics of the tumor in the input fields below.
Click 'Calculate Probability' to generate the estimated risk of occult lymph node metastases.
Review the results, which provide the risk percentage and guidance on clinical decision-making.
Use the tool to supplement clinical judgment, considering the patient’s specific characteristics.

Prediction Results

Note: This prediction is intended to supplement, not replace, clinical judgment. It should be interpreted within the context of the individual patient’s condition, comorbidities, and preferences.

Enter Predictor Values

Prediction Results