BackgroundSinonasal neoplasms, whether benign and malignant, pose a significant challenge to clinicians and represents a model area for multidisciplinary collaboration in order to optimize patient care. The International Consensus Statement on Allergy and Rhinology: Sinonasal Tumors (ICSNT) aims to summarize the best available evidence and presents 48 thematic and histopathology‐based topics spanning the field.MethodsIn accordance with prior ICAR documents, ICSNT assigned each topic as an Evidence‐Based Review with Recommendations, Evidence‐Based Review, and Literature Review based on level of evidence. An international group of multidisciplinary author teams were assembled for the topic reviews using the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses format, and completed sections underwent a thorough and iterative consensus‐building process. The final document underwent rigorous synthesis and review prior to publication.ResultsThe ICNST document consists of 4 major sections: general principles, benign neoplasms and lesions, malignant neoplasms, and quality of life and surveillance. It covers 48 conceptual and/or histopathology‐based topics relevant to sinonasal neoplasms and masses. Topics with a high level of evidence provided specific recommendations, while other areas summarized the current state of evidence. A final section highlights research opportunities and future directions, contributing to advancing knowledge and community intervention.ConclusionAs an embodiment of the multidisciplinary and collaborative model of care in sinonasal neoplasms and masses, ICSNT was designed as a comprehensive, international, and multidisciplinary collaborative endeavor. Its primary objective is to summarize the existing evidence in the field of sinonasal neoplasms and masses.This article is protected by copyright. All rights reserved

The objective of this study is to determine if the incorporation of perineural invasion (PNI) into the T‐classification would improve the prognostic performance of TNM‐8. An international, multicenter study of 1049 patients with oral cavity squamous cell carcinoma that were treated from 1994 to 2018 is performed. Various classification models are developed within each T‐category and evaluated using the Harrel‐concordance index (C‐index), Akaike‐information criterion (AIC), and visual inspection. Stratification into distinct prognostic categories, with internal validation, is performed using bootstrapping analysis (SPSS and R‐software). Through multivariate analysis, PNI is significantly associated with disease‐specific survival (p < 0.001). PNI integration into the staging system results in a significantly improved model compared with the current T category alone (lower AIC, p < 0.001). The PNI‐integrated model is superior in predicting differential outcomes between T3 and T4 patients. A new model for T‐classification of oral cavity squamous cell carcinoma is proposed, which is based on incorporating PNI into the staging system. These data can be used for future evaluations of the TNM staging system.