Patterns of recurrences in sinonasal cancers undergoing an endoscopic surgery-based treatment: Results of the MUSES* on 940 patients: *MUlti-institutional collaborative Study on Endoscopically treated Sinonasal cancers.

Objectives: The improvements in survival with expansion of the survivors' population, along with evolution of endoscopically-based treatment modalities, have contributed to emphasize the clinical relevance of recurrences in sinonasal cancers. However, at present, literature is scant regarding the pattern of recurrences and the therapeutic strategies available to manage long survivors who experienced single or multiple failures. The aim of the present study was to analyze sinonasal cancers recurrences to provide data regarding rates and patterns of relapse, predictors of failure and prognostic impact of the recurrence.

The MUSES∗: a prognostic study on 1360 patients with sinonasal cancer undergoing endoscopic surgery-based treatment: ∗MUlti-institutional collaborative Study on Endoscopically treated Sinonasal cancers.

Background: Over the last 2 decades, transnasal endoscopic surgery (TES) has become the most frequently employed surgical technique to treat sinonasal malignancies. The rarity and heterogeneity of sinonasal cancers have hampered large non-population-based analyses.

Methodology: All patients receiving TES-including treatment between 1995 and 2021 in 5 referral hospitals were included.

Olfactory Neuroblastoma.

Olfactory neuroblastoma is a rare tumor. Nasal endoscopy typically identifies a soft mass arising from the olfactory cleft. Computer tomography and magnetic resonance imaging are mandatory for staging (in association with 18F-fluorodeoxyglucose positron emission tomography) in high-grade and/or high-stage tumors.

Prognostic value of the seventh AJCC/UICC TNM classification of intestinal-type ethmoid adenocarcinoma: Systematic review and risk prediction model.

Background: The purpose of this study was to propose a prognostic classification of intestinal-type adenocarcinoma (ITAC) based on literature search and prognostic modeling of cohort data.

Methods: We first conducted a literature search to assess the homogeneity of the reported estimates of 5-year survival and to identify the influence of T classification. We then pooled prospective data from 3 large French and Italian series to predict time to all-cause mortality.