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Data set for the reporting of oral cavity carcinomas explanations and recommendations of the guidelines from the international collaboration of Cancer reporting

Lookup NU author(s): Professor Philip Sloan

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Abstract

© 2019 College of American Pathologists. All rights reserved. The International Collaboration on Cancer Reporting is a nonprofit organization whose goal is to develop evidence-based, internationally agreed-upon standardized data sets for each cancer site for use throughout the world. Providing global standardization of pathology tumor classification, staging, and other reporting elements will lead to the objective of improved patient management and enhanced epidemiologic research. Carcinomas of the oral cavity continue to represent a significant oncologic management burden, especially as changes in alcohol and tobacco use on a global scale contribute to tumor development. Separation of oral cavity carcinomas from oropharyngeal tumors is also important, as management and outcome are quite different when human papillomavirus association is taken into consideration. Topics such as tumor thickness versus depth of invasion, pattern of invasive front, extent and size of perineural invasion, and margin assessment all contribute to accurate classification and staging of tumors. This review focuses on the data set developed for Carcinomas of the Oral Cavity Histopathology Reporting Guide, with discussion of the key elements developed for inclusion.


Publication metadata

Author(s): Muller S, Boy SC, Day TA, Magliocca KR, Richardson MS, Sloan P, Tilakaratne WM, Zain RB, Thompson LDR

Publication type: Article

Publication status: Published

Journal: Archives of Pathology and Laboratory Medicine

Year: 2019

Volume: 143

Issue: 4

Pages: 439-446

Print publication date: 01/04/2019

Online publication date: 30/11/2018

Acceptance date: 27/09/2018

ISSN (print): 0003-9985

ISSN (electronic): 1543-2165

Publisher: College of American Pathologists

URL: https://doi.org/10.5858/arpa.2018-0411-SA

DOI: 10.5858/arpa.2018-0411-SA

PubMed id: 30500296


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