Importance
Understanding the drainage patterns to the retropharyngeal nodes is an important consideration in oropharyngeal squamous cell carcinoma (OPSCC) because treatment of these nodes is related to increased morbidity. Prediction of these drainage patterns could not only help minimize treatment morbidity, but could also prevent failures in at-risk patients, as de-escalation trials are underway for this disease.
Objective
To evaluate the prevalence of pathologic retropharyngeal adenopathy (RPA) in OPSCC relative to involvement of the oropharyngeal subsite, number of neck nodes, T classification and N classification.
Design
Retrospective review from 2003–2010
Setting
Academic Referral Center
Participants
205 previously untreated, advanced stage (III, IV), pathologically confirmed patients with OPSCC
Exposure: Concurrent chemoradiation
Main Outcome Measures
Radiologic evidence of pathologic RPA was tabulated and related to involvement of the oropharyngeal subsite, number of neck nodes, T classification and N classification.
Results
Pathologic RPA was identified in 18% of patients. There were pathologic retropharyngeal lymph nodes in 12/89 (13%) base of tongue cancers, 24/109 (22%) tonsil cancers, and 1/7 (14%) other oropharyngeal subsite cancers. Increasing prevalence of RPA was positively correlated with closer proximity to the posterior tonsillar pillar. A multivariate predictive regression model using the oropharyngeal subsite, involvement of the posterior tonsillar pillar, number of metastatic nodes, T classification, and N classification, showed that the number of metastatic nodes was statistically significant with an odds ratio of 1.436 (p=0.0001, 95% confidence interval: 1.203 – 1.714).
Conclusions and Relevance
The prevalence of pathologic RPA in this cohort was 18% and patients with multiple nodes had the highest risk for pathologic RPA, followed by involvement of the posterior tonsillar pillar. However, this data suggests that there is no clear algorithm that can be used for de-intensification to exclude the retropharyngeal site from the treatment volume using extent of disease gathered from pretreatment imaging for patients with advanced stage OPSCC.