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Dataset for reporting of carcinoma of the urethra (in urethrectomy specimens): recommendations from the International Collaboration on Cancer Reporting (ICCR)

Authors :
John R. Srigley
Antonio Lopez-Beltran
Hemamali Samaratunga
Theo van der Kwast
Brett Delahunt
Michael O. Koch
Toyonori Tsuzuki
Eva Compérat
Victor E. Reuter
Murali Varma
Jonathan H Shanks
Fadi Brimo
David J. Grignon
Source :
Histopathology. 75:453-467
Publication Year :
2019
Publisher :
Wiley, 2019.

Abstract

The International Collaboration on Cancer Reporting (ICCR) is a not-for-profit organisation sponsored by the Royal Colleges of Pathologists of Australasia and the United Kingdom, the College of American Pathologists, the Canadian Association of Pathologists in association with the Canadian Partnership Against Cancer, the European Society of Pathology, the American Society of Clinical Pathology and the Faculty of Pathology, Royal College of Physicians of Ireland. Its goal is to produce standardised, internationally agreed-upon, evidence-based datasets for cancer pathology reporting throughout the world. This paper describes the development of a cancer dataset by the multidisciplinary ICCR expert panel for the reporting of carcinoma of the urethra in urethrectomy specimens. The dataset is composed of 'required' (mandatory) and 'recommended' (non-mandatory) elements, which are based on a review of the most recent evidence and supported by explanatory commentary. Fourteen required elements and eight recommended elements were agreed by the international dataset authoring committee to represent the essential/required (core) and recommended (non-core) information for the reporting of carcinoma of the urethra in urethrectomy specimens. Use of an internationally agreed, structured pathology dataset for reporting carcinoma of the urethra (in urethrectomy specimens) will provide the necessary information for optimal patient management, will facilitate consistent data collection and will provide valuable data for research and international benchmarking. The dataset will be valuable for those countries and institutions that are not in a position to develop their own datasets.

Details

ISSN :
13652559 and 03090167
Volume :
75
Database :
OpenAIRE
Journal :
Histopathology
Accession number :
edsair.doi.dedup.....8abf7d59eed04292d68e81c1672092e1
Full Text :
https://doi.org/10.1111/his.13877