Impact of p16-overexpression on overall and progression-free survival outcomes in oral cavity squamous cell carcinomas: A semi-national, population-based study.

OBJECTIVES: Human papillomavirus infection and p16-overexpression is a principal cause and favorable prognostic factor for oropharyngeal squamous cell carcinomas but the value as prognostic marker in oral cavity squamous cell carcinomas (OSCC) is undetermined. MATERIALS AND METHODS: All patients diagnosed with OSCC in Eastern Denmark in the period 2008-2014 were enrolled. Survival estimates were evaluated as overall survival (OS) and progression free survival (PFS) by Kaplan-Meier survival curves and multivariate Cox-regression analyses. RESULTS: We included 575 patients from which 13% (n = 69) had p16-positive tumors. The 5-year OS were 55% and 62% for the p16-negative and p16-positive patients, respectively, and the 5-year PFS were 48% and 50%. In a multivariate survival analysis, p16-positivity showed no significant influence on OS (HR: 1.06 [0.67-1.70], p = 0.79) and PFS (HR: 1.11 [0.76-1.63], p = 0.58). CONCLUSION: In this population-based cohort of non-selected OSCC patients, we found no difference in survival outcomes when stratified on p16-overexpression status.

Accuracy and precision of manual segmentation of the maxillary sinus in MR images-a method study.

OBJECTIVE: To assess the accuracy and precision of segmentation of the maxillary sinus in MR images to evaluate the potential usefulness of this modality in longitudinal studies of sinus development. METHODS: A total of 15 healthy subjects who had been both craniofacial CT and MR scanned were included and the 30 maxillary sinus volumes were evaluated using segmentation. Two of the authors did segmentation of MRI and one of these authors did double segmentation. Agreement in results between CT and MRI as well as inter- and intraexaminer errors were evaluated by statistical and three-dimensional analysis. RESULTS: The intraclass correlation coefficient for volume measurements for both method error, inter- and intraexaminer agreement were > 0.9 [maximal 95% confidence interval of 0.989-0.997, p < 0.001] and the limit of agreement for all parameters were < 5.1%. Segmentation errors were quantified in terms of overlap [Dice Coefficient (DICE) > 0.9 = excellent agreement] and border distance [95% percentile Hausdorff Distance (HD) < 2 mm = acceptable agreement]. The results were replicable and not influenced by systematic errors. CONCLUSION: We found a high accuracy and precision of manual segmentation of the maxillary sinus in MR images. The largest mean errors were found close to the orbit and the teeth. Advances in knowledge: MRI can be used for 3D models of the paranasal sinuses with equally good results as CT and allows longitudinal follow-up of sinus development.