Dataset for the reporting of renal biopsy for tumour: recommendations from the International Collaboration on Cancer Reporting (ICCR).

Biopsy / standards Consensus Cooperative Behavior Data Accuracy Databases, Factual / standards Datasets as Topic / standards Guidelines as Topic / standards Humans International Cooperation Kidney Neoplasms / epidemiology Neoplasm Grading / standards Nephrectomy / standards Predictive Value of Tests
biopsy dataset grading renal cell carcinoma tumour

Journal

Journal of clinical pathology
ISSN: 1472-4146
Titre abrégé: J Clin Pathol
Pays: England
ID NLM: 0376601

Informations de publication

Date de publication:
Sep 2019
Historique:
received: 07 05 2019
revised: 06 06 2019
accepted: 19 06 2019
pubmed: 14 7 2019
medline: 4 9 2019
entrez: 14 7 2019
Statut: ppublish

Résumé

The International Collaboration on Cancer Reporting (ICCR) has developed a suite of detailed datasets for international implementation. These datasets are based on the reporting protocols developed by the Royal College of Pathologists (UK), The Royal College of Pathologists of Australasia and the College of American Pathologists, with modifications undertaken by international expert groups appointed according to ICCR protocols. The dataset for the reporting of renal biopsy for tumour is designed to provide a structured reporting template containing minimum data recording key elements suitable for international use. In formulating the dataset, the ICCR panel incorporated recommendations from the 2012 Vancouver Consensus Conference of the International Society of Urological Pathology (ISUP) and the 2016 edition of the WHO Bluebook on tumours of the urinary and male genital systems. Reporting elements were divided into

Identifiants

DOI: 10.1136/jclinpath-2019-205959 PMID: 31300532
pubmed: 31300532
pii: jclinpath-2019-205959
doi: 10.1136/jclinpath-2019-205959
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

573-578

Informations de copyright

© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Brett Delahunt (B)

Department of Pathology and Molecular Medicine, Wellington Sch Med, Wellington, New Zealand brett.delahunt@otago.ac.nz.
ORCID: 0000-0002-5398-0300

John R Srigley (JR)

Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.

Meagan Judge (M)

Royal College of Pathologists of Australasia, Surry Hills, New South Wales, Australia.

Mahul Amin (M)

Department of Pathology and Laboratory medicine, University of Tennessee Health Sciences, Memphis, Tennessee, USA.

Athanase Billis (A)

Department of Anatomic Pathology, Universidade Estadual de Campinas, Campinas, Brazil.

Philippe Camparo (P)

Service d'anatomie et cytologie pathologiques, Hopital Foch, Paris, France.

Stewart Fleming (S)

Department of Cellular and Molecular Pathology, University of Dundee, Dundee, UK.

David Griffiths (D)

Department of Pathology, University Hospital of Wales, Cardiff, UK.

Antonio Lopez-Beltran (A)

Department of Pathology and Surgery, Cordoba University Medical School, /Cordoba, Spain.

Guido Martignoni (G)

Anatomia Patologica, Department of Pathology and Diagnostics, University of Verona, Verona, Italy.

Holger Moch (H)

Department of Pathology, Institute for Surgical Pathology, University Hospital, Zurich, Switzerland.

John N Nacey (JN)

Department of Surgery and Anaesthesia, Wellington Sch Med, Wellington, New Zealand.

Ming Zhou (M)

Department of Pathology, University of Texas Southwestern Medical Center at Dallas, Dallas, Texas, USA.

Andrew John Evans (AJ)

Department of Pathology, University Health Network, Toronto, Ontario, Canada.

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Classifications MeSH

questionsmedicales.fr › Techniques d'investigation › Techniques cytologiques › Cytodiagnostic › Biopsie › Dataset for the reporting of renal biopsy for...
questionsmedicales.fr › Phénomènes psychologiques › Processus mentaux › Pensée (activité mentale) › Prise de décision › Consensus › Dataset for the reporting of renal biopsy for...
questionsmedicales.fr › Comportement et mécanismes comportementaux › Comportement › Comportement social › Comportement coopératif › Dataset for the reporting of renal biopsy for...
questionsmedicales.fr › Qualité, accès, évaluation des soins de santé › Qualité des soins de santé › Mécanismes d'évaluation des soins de santé › Exactitude des données › Dataset for the reporting of renal biopsy for...
questionsmedicales.fr › Sciences de l'information › Mémorisation et recherche des informations › Bases de données comme sujet › Bases de données factuelles › Dataset for the reporting of renal biopsy for...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Collecte de données › Jeux de données comme sujet › Dataset for the reporting of renal biopsy for...
questionsmedicales.fr › Qualité, accès, évaluation des soins de santé › Assurance de la qualité des soins de santé › Recommandations comme sujet › Dataset for the reporting of renal biopsy for...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Dataset for the reporting of renal biopsy for...
questionsmedicales.fr › Sciences sociales › Internationalité › Coopération internationale › Dataset for the reporting of renal biopsy for...
questionsmedicales.fr › Maladies urogénitales › Maladies urologiques › Tumeurs urologiques › Tumeurs du rein › Dataset for the reporting of renal biopsy for...
questionsmedicales.fr › Diagnostic › Pronostic › Grading des tumeurs › Dataset for the reporting of renal biopsy for...
questionsmedicales.fr › Procédures de chirurgie opératoire › Procédures de chirurgie urogénitale › Procédures de chirurgie urologique › Néphrectomie › Dataset for the reporting of renal biopsy for...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Méthodologie en recherche épidémiologique › Valeur prédictive des tests › Dataset for the reporting of renal biopsy for...