Prediction of lymph node metastasis in T1/T2 tongue squamous cell carcinoma.

OBJECTIVES

In T1, T2, and clinically NO squamous cell carcinoma of the tongue, there is no reliable predictive variable to determine whether or not neck dissection is needed. Thus, we established a predictive score model based on tumour depth and other pathological variables.

METHODS

We retrospectively reviewed 115 patients with T1 and T2 stage squamous cell carcinoma of the tongue. Their pathological variables were used to construct a score model for predicting the risk of cervical lymph node metastasis.

RESULTS

A predictive score model was proposed using multivariate logistic regression analysis: Score = (2.694 x tumour depth (cm)) + (1.814 x lymphovascular invasion (yes = 1, no = 0)) + (1.175 x perineural invasion (yes = 1, no = 0)). The cutoff point was set at 2.7427. This predictive score model has a sensitivity of 91.2% and specificity of 65.4%.

CONCLUSION

A predictive score model was built and a two-stage surgical approach was suggested for T1 and T2 squamous cell carcinoma of the tongue.