Dataset for the reporting of carcinoma of the bladder-cystectomy, cystoprostatectomy and diverticulectomy specimens: recommendations from the International Collaboration on Cancer Reporting (ICCR)
Authors
Comperat, ESrigley, JR
Brimo, F
Delahunt, B
Koch, M
Lopez-Beltran, A
Reuter, V
Samaratunga, H
Shanks, Jonathan H
Tsuzuki, T
van der Kwast, T
Varma, M
Webster, F
Grignon, D
Affiliation
Department of Pathology, Hopital Tenon, Sorbonne University, Paris, France.Issue Date
2020
Metadata
Show full item recordAbstract
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.Citation
Comperat E, Srigley JR, Brimo F, Delahunt B, Koch M, Lopez-Beltran A, et al. Dataset for the reporting of carcinoma of the bladder-cystectomy, cystoprostatectomy and diverticulectomy specimens: recommendations from the International Collaboration on Cancer Reporting (ICCR). Virchows Arch. 2020.Journal
Virchows ArchivDOI
10.1007/s00428-019-02727-1PubMed ID
31915958Additional Links
https://dx.doi.org/10.1007/s00428-019-02727-1Type
ArticleLanguage
enae974a485f413a2113503eed53cd6c53
10.1007/s00428-019-02727-1
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