Your browser doesn't support javascript.
loading
Femoral Neck Thickness Index as an Indicator of Proximal Femur Bone Modeling.
Franco-Gonçalo, Pedro; Pereira, Ana Inês; Loureiro, Cátia; Alves-Pimenta, Sofia; Filipe, Vítor; Gonçalves, Lio; Colaço, Bruno; Leite, Pedro; McEvoy, Fintan; Ginja, Mário.
Afiliação
  • Franco-Gonçalo P; Department of Veterinary Science, University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal.
  • Pereira AI; Animal and Veterinary Research Centre (CECAV), University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal.
  • Loureiro C; Associate Laboratory for Animal and Veterinary Sciences (AL4AnimalS), University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal.
  • Alves-Pimenta S; Department of Veterinary Science, University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal.
  • Filipe V; Department of Animal Science, University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal.
  • Gonçalves L; Department of Engineering, University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal.
  • Colaço B; Animal and Veterinary Research Centre (CECAV), University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal.
  • Leite P; Associate Laboratory for Animal and Veterinary Sciences (AL4AnimalS), University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal.
  • McEvoy F; Department of Animal Science, University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal.
  • Ginja M; Department of Engineering, University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal.
Vet Sci ; 10(6)2023 May 24.
Article em En | MEDLINE | ID: mdl-37368757
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article