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Vet-ICD-O-Canine-1, a System for Coding Canine Neoplasms Based on the Human ICD-O-3.2


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Made available in DSpace on 2022-04-28T19:52:02Z (GMT). No. of bitstreams: 0 Previous issue date: 2022-03-01

Fundação para a Ciência e a Tecnologia

Cancer registries are fundamental tools for collecting epidemiological cancer data and developing cancer prevention and control strategies. While cancer registration is common in the human medical field, many attempts to develop animal cancer registries have been launched over time, but most have been discontinued. A pivotal aspect of cancer registration is the availability of cancer coding systems, as provided by the International Classification of Diseases for Oncology (ICD-O). Within the Global Initiative for Veterinary Cancer Surveillance (GIVCS), established to foster and coordinate animal cancer registration worldwide, a group of veterinary pathologists and epidemiologists developed a comparative coding system for canine neoplasms. Vet-ICD-O-canine-1 is compatible with the human ICD-O-3.2 and is consistent with the currently recognized classification schemes for canine tumors. It comprises 335 topography codes and 534 morphology codes. The same code as in ICD-O-3.2 was used for the majority of canine tumors showing a high level of similarity to their human counterparts (n = 408). De novo codes (n = 152) were created for specific canine tumor entities (n = 126) and topographic sites (n = 26). The Vet-ICD-O-canine-1 coding system represents a user-friendly, easily accessible, and comprehensive resource for developing a canine cancer registration system that will enable studies within the One Health space.

Departamento de Estudo de Populações Vet-OncoNet ICBAS Instituto de Ciências Biomédicas Abel Salazar Universidade do Porto

EPIUnit—Instituto de Saúde Pública Universidade do Porto

Laboratório Para a Investigação Integrativa e Translacional em Saúde Populacional (ITR)

Department of Veterinary Medicine and Animal Production University of Naples Federico II

Institute of Pathology School of Medicine Technical University of Munich

Associate Laboratory for Animal and Veterinary Science-AL4AnimalS Animal and Veterinary Research Centre (CECAV) University of Trás-os-Montes and Alto Douro (UTAD)

School of Veterinary Medicine and Animal Science São Paulo State University (UNESP), SP

Division of Neurological Sciences DCR-VPH Vetsuisse Faculty University of Bern

Department of Veterinary Sciences University of Turin

National Disease Registration Service NHS Digital

International Agency for Research on Cancer IARC

Institute of Veterinary Pathology Vetsuisse Faculty University of Zurich

School of Veterinary Science Gatton Campus The University of Queensland

School of Veterinary Medicine and Animal Science University of São Paulo, SP

School of Veterinary Medicine and Animal Science São Paulo State University (UNESP), SP

Fundação para a Ciência e a Tecnologia: UIDB/CVT/00772/2020

Tipo de Documento Artigo científico
Idioma Inglês
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