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Dataset for Pathology Reporting of Colorectal Cancer: Recommendations From the International Collaboration on Cancer Reporting (ICCR).
Loughrey, Maurice B; Webster, Fleur; Arends, Mark J; Brown, Ian; Burgart, Lawrence J; Cunningham, Chris; Flejou, Jean-Francois; Kakar, Sanjay; Kirsch, Richard; Kojima, Motohiro; Lugli, Alessandro; Rosty, Christophe; Sheahan, Kieran; West, Nicholas P; Wilson, Richard H; Nagtegaal, Iris D.
  • Loughrey MB; Centre for Public Health, Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, Northern Ireland, UK.
  • Webster F; Department of Cellular Pathology, Belfast Health and Social Care Trust, Belfast, Northern Ireland, UK.
  • Arends MJ; International Collaboration on Cancer Reporting, Sydney, NSW, Australia.
  • Brown I; Division of Pathology, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, UK.
  • Burgart LJ; Envoi Pathology, Kelvin Grove, QLD, Australia.
  • Cunningham C; Department of Pathology, Virginia Piper Cancer Institute, Abbott Northwestern Hospital, Minneapolis, MN.
  • Flejou JF; Department of Colorectal Surgery, Churchill Hospital, Oxford University Hospitals NHSFT, Oxford, UK.
  • Kakar S; Department of Pathology, Saint-Antoine Hospital, Sorbonne University, Paris, France.
  • Kirsch R; Department of Pathology, University of California San Francisco, San Francisco, CA.
  • Kojima M; Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada.
  • Lugli A; Division of Pathology, Research Center for Innovative Oncology, National Cancer Center, Chiba, Kashiwa, Japan.
  • Rosty C; Institute of Pathology, University of Bern, Bern, Switzerland.
  • Sheahan K; Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
  • West NP; Envoi Specialist Pathologists, Brisbane, QLD, Australia.
  • Wilson RH; Department of Pathology, University of Melbourne, Melbourne, VIC, Australia.
  • Nagtegaal ID; Department of Pathology, St Vincent's University Hospital & University College, Dublin, Ireland.
Ann Surg ; 275(3): e549-e561, 2022 03 01.
Article en En | MEDLINE | ID: mdl-34238814
ABSTRACT

OBJECTIVE:

The aim of this study to describe a new international dataset for pathology reporting of colorectal cancer surgical specimens, produced under the auspices of the International Collaboration on Cancer Reporting (ICCR).

BACKGROUND:

Quality of pathology reporting and mutual understanding between colorectal surgeon, pathologist and oncologist are vital to patient management. Some pathology parameters are prone to variable interpretation, resulting in differing positions adopted by existing national datasets.

METHODS:

The ICCR, a global alliance of major pathology institutions with links to international cancer organizations, has developed and ratified a rigorous and efficient process for the development of evidence-based, structured datasets for pathology reporting of common cancers. Here we describe the production of a dataset for colorectal cancer resection specimens by a multidisciplinary panel of internationally recognized experts.

RESULTS:

The agreed dataset comprises eighteen core (essential) and seven non-core (recommended) elements identified from a review of current evidence. Areas of contention are addressed, some highly relevant to surgical practice, with the aim of standardizing multidisciplinary discussion. The summation of all core elements is considered to be the minimum reporting standard for individual cases. Commentary is provided, explaining each element's clinical relevance, definitions to be applied where appropriate for the agreed list of value options and the rationale for considering the element as core or non-core.

CONCLUSIONS:

This first internationally agreed dataset for colorectal cancer pathology reporting promotes standardization of pathology reporting and enhanced clinicopathological communication. Widespread adoption will facilitate international comparisons, multinational clinical trials and help to improve the management of colorectal cancer globally.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proyectos de Investigación / Neoplasias Colorrectales / Conjuntos de Datos como Asunto Tipo de estudio: Guideline / Prognostic_studies / Qualitative_research Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proyectos de Investigación / Neoplasias Colorrectales / Conjuntos de Datos como Asunto Tipo de estudio: Guideline / Prognostic_studies / Qualitative_research Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article