Dataset for the reporting of carcinoma of the bladder - cystectomy, cystoprostatectomy and diverticulectomy specimens: Recommendations from the International Collaboration on Cancer Reporting (ICCR) Guidelines


Authors: Compérat, E.; Srigley, J. R.; Brimo, F.; Delahunt, B.; Koch, M.; Lopez-Beltran, A.; Reuter, V.; Samaratunga, H.; Shanks, J. H.; Tsuzuki, T.; van der Kwast, T.; Varma, M.; Webster, F.; Grignon, D.
Title: Dataset for the reporting of carcinoma of the bladder - cystectomy, cystoprostatectomy and diverticulectomy specimens: Recommendations from the International Collaboration on Cancer Reporting (ICCR)
Abstract: The International Collaboration on Cancer Reporting (ICCR) is a not for profit organisation whose goal is to produce standardised internationally agreed and evidence-based datasets for pathology reporting. With input from pathologists worldwide, the datasets are intended to be uniform and structured. They include all items necessary for an objective and accurate pathology report which enables clinicians to apply the best treatment for the patient. This dataset has had input from a multidisciplinary ICCR expert panel. The rationale for some items being required and others recommended is explained, based on the latest literature. The dataset incorporates data from the World Health Organization (WHO) 2016, and also from the latest (8th edition) TNM staging system of the American Joint Committee on Cancer (AJCC). Fifteen required elements and eight recommended items are described. This dataset provides all the details for a precise and valuable pathology report required for patient management and prognostication. This dataset is intended for worldwide use, and should facilitate the collection of standardised comparable data on bladder carcinoma at an international level. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
Keywords: staging; pathology; urothelial carcinoma; cystoprostatectomy; dataset; synoptic report
Journal Title: Virchows Archiv
Volume: 476
Issue: 4
ISSN: 0945-6317
Publisher: Springer  
Date Published: 2020-04-01
Start Page: 521
End Page: 534
Language: English
DOI: 10.1007/s00428-019-02727-1
PUBMED: 31915958
PROVIDER: scopus
DOI/URL:
Notes: Article -- Export Date: 1 May 2020 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Victor Reuter
    1227 Reuter