Second International Congress on Salivary Gland Diseases edition:2 location:Pittsburgh date:19-21 October 2007
Title: Can we predict regional metastasis in patients with salivary cancer?
Objective: To develop a predictive model for regional metastasis
Materials and methods: a nationwide cohort of 666 patients with a malignant salivary gland tumor was analyzed to assess the predictive value of clinical parameters. Patients were derived from all university hospitals in the Netherlands. All parameters were included in the logistic regression analysis. The prognostic power was measured with a ROC-curve.
Results: Significant in multivariate analysis were gender, age, skin invasion and localization of the tumor. Pre-treatment pain, size of the tumor and co-morbidity were not significant. All variables were entered in a logistic regression model. The area under the curve (ROC) of the full model was .76, representing high predictive power.
Conclusion: The presented predictive model provides a tool for clinical decision-making with regard to treatment of the neck in patients with a malignant salivary gland tumor. The added value of imaging techniques must still be assessed.