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Dataset for reporting of thymic epithelial tumours: recommendations from the International Collaboration on Cancer Reporting (ICCR)

Authors
 Andrew G Nicholson  ;  Frank Detterbeck  ;  Alexander Marx  ;  Anja C Roden  ;  Alberto M Marchevsky  ;  Kiyoshi Mukai  ;  Gang Chen  ;  Mirella Marino  ;  Michael A den Bakker  ;  Woo-Ick Yang  ;  Meagan Judge  ;  Lynn Hirschowitz 
Citation
 HISTOPATHOLOGY, Vol.70(4) : 522-538, 2017-05 
Journal Title
HISTOPATHOLOGY
ISSN
 0309-0167 
Issue Date
2017-05
MeSH
Humans ; Medical Oncology / standards* ; Neoplasms, Glandular and Epithelial* ; Pathology, Clinical / standards* ; Research Design / standards* ; Thymus Neoplasms*
Keywords
checklist ; dataset ; protocol ; structured report ; synoptic report ; thymic carcinoma ; thymic epithelial tumours ; thymoma ; thymus
Abstract
Aims: The International Collaboration on Cancer Reporting (ICCR) is a not-for-profit organization formed by the Royal Colleges of Pathologists of Australasia and the United Kingdom, the College of American Pathologists, the Canadian Association of Pathologists-Association Canadienne des Pathologists in association with the Canadian Partnership Against Cancer, and the European Society of Pathology. Its goal is to produce standardized, internationally agreed, evidence-based datasets for use throughout the world.

Methods and results: This article describes the development of a cancer dataset by the multidisciplinary ICCR expert panel for the reporting of thymic epithelial tumours. The dataset includes 'required' (mandatory) and 'recommended' (non-mandatory) elements, which are validated by a review of current evidence and supported by explanatory text. Seven required elements and 12 recommended elements were agreed by the international dataset authoring committee to represent the essential information for the reporting of thymic epithelial tumours.

Conclusions: The use of an internationally agreed, structured pathology dataset for reporting thymic tumours provides all of the necessary information for optimal patient management, facilitates consistent and accurate data collection, and provides valuable data for research and international benchmarking. The dataset also provides a valuable resource for those countries and institutions that are not in a position to develop their own datasets.
Full Text
https://onlinelibrary.wiley.com/doi/10.1111/his.13099
DOI
10.1111/his.13099
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
Yonsei Authors
Yang, Woo Ick(양우익) ORCID logo https://orcid.org/0000-0002-6084-5019
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/195712
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