Data Set for the Reporting of Mucosal Melanomas of the Head and Neck: Explanations and Recommendations of the Guidelines From the International Collaboration on Cancer Reporting

Michelle D. Williams, Alessandro Franchi, Tim Helliwell, Susan Müller, Lester D.R. Thompson

Research output: Contribution to journalReview articlepeer-review

4 Scopus citations

Abstract

Standardized pathologic reporting for cancers allows for improved communication for patient care and prognostic determination. If used universally, synoptic reporting enhances comparing data globally for scientific leverage. The International Collaboration on Cancer Reporting is a nonprofit organization whose mission is to develop evidence-based, universally available surgical pathology reporting data sets. Multiple different sites within the head and neck may be affected by mucosal melanoma, whose behavior and patient outcome are not equivalent to carcinomas of the corresponding sites. Factors such as Breslow thickness and Clark depth of invasion applied to cutaneous melanomas do not yield any prognostic significance in mucosal sites, and thus are not meaningful. Likewise, margin assessment is unique in head and neck sites. Further, the genetic profile of mucosal melanomas is different from that of most cutaneous tumors. Thus, within the head and neck region, mucosal melanoma is a distinct entity for which a dedicated data set was developed for implementation. The elements that comprise the core (required) and noncore (recommended) elements are discussed.

Original languageEnglish (US)
Pages (from-to)603-609
Number of pages7
JournalArchives of pathology & laboratory medicine
Volume143
Issue number5
DOIs
StatePublished - May 1 2019

ASJC Scopus subject areas

  • Pathology and Forensic Medicine
  • Medical Laboratory Technology

Fingerprint

Dive into the research topics of 'Data Set for the Reporting of Mucosal Melanomas of the Head and Neck: Explanations and Recommendations of the Guidelines From the International Collaboration on Cancer Reporting'. Together they form a unique fingerprint.

Cite this