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

• Autor(a) principal: Pinello, Katia
• Data de Publicação: 2022
• Outros Autores: Baldassarre, Valeria, Steiger, Katja, Paciello, Orlando, Pires, Isabel, Laufer-Amorim, Renée [UNESP], Oevermann, Anna, Niza-Ribeiro, João, Aresu, Luca, Rous, Brian, Znaor, Ariana, Cree, Ian A., Guscetti, Franco, Palmieri, Chiara, Dagli, Maria Lucia Zaidan
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.3390/cancers14061529; http://hdl.handle.net/11449/223669
• topic: Cancer registry; Canine; Coding; Comparative oncology; ICD-O-3.2

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.