Skip to main navigation Skip to search Skip to main content

Determination of equine deep digital flexor muscle volume based on distances between anatomical landmarks

  • L C Hardeman
  • , B R van der Meij
  • , A A H Lamers
  • , J H van der Kolk
  • , W Back
  • , I D Wijnberg

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    In equine medicine the use of Botox® is experimental. Dosages are determined from human treatment-protocols and limited numbers of equine studies. Determination of target-muscle volume can be helpful to extrapolate human dosages. The aim of the study was to calculate a formula enabling the estimation of the deep digital flexor muscle (DDFM) volume based on distances between anatomical landmarks. Nineteen cadaveric limbs were collected and distance A (top of olecranon to Os carpi accessorium) and B (circumference of limb) were measured. Converting mathematical formulas, C was calculated: π × (((0.5B)/π)(2)) × A. DDFM volume was determined by water displacement. Linear Regression Analysis was used to analyse data. The line best fitting the observed points was: Ln(volume[ml]) = -1.89 + 0.98 × Ln(value C[cm(3)]). Correlation was highest when natural logarithm was applied to both variables and was 0.97. The calculated formula enables estimating DDFM volume of a living horse. This estimated volume can be useful to apply human Botox® treatment-protocols.

    Original languageEnglish
    Pages (from-to)397-399
    Number of pages3
    JournalResearch in Veterinary Science
    Volume97
    Issue number2
    DOIs
    Publication statusPublished - 2014

    Bibliographical note

    Copyright © 2014 Elsevier Ltd. All rights reserved.

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Fingerprint

    Dive into the research topics of 'Determination of equine deep digital flexor muscle volume based on distances between anatomical landmarks'. Together they form a unique fingerprint.

    Cite this