Abstract

The morphological assessment of selected parts of the hindlimb of Japanese quails (Temminck & Schlegel, 1849), with particular emphasis on hip joint structures, was performed, using a 128-row scanner (GE Optima Aquilion, Toshiba, Japan). Eight dead 3-month-old Japanese quails were evaluated. During intravital examination of those birds, no hindlimb abnormalities or locomotion disorders were detected. Bird body, which hip joints and other structures of hindlimbs were studied, was examined in posterioranterior position. The following hip joint structures, on both sides, were assessed in this study: hip joint gap width, acetabulum width, femoral head diameter, and femoral shaft width. The applied imaging method allowed accurate assessment of the selected structures. There was low variability between left and right hindlimbs and among individuals. Modern imaging techniques, such as multirow computed tomography (MCT) allows quick intravital assessment of normal and pathological structures of poultry bones and joints.

Highlights

  • Diagnostic imaging is more frequently used for the detection of pathologies related to the passive part of the locomotor system in poultry (Charuta et al, 2011; Charuta et al, 2012)

  • Multirow computed tomography scanners (MCT) and magnetic resonance imaging (MRI) have been significantly improved, and today enable the diagnosis of various types of diseases

  • Difference between acetabulum width (AW) values, may be the result of error caused by inaccuracy in limbs arrangement and subsequently differences in their exposure on multirow computed tomography (MCT) images

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Summary

Introduction

Diagnostic imaging is more frequently used for the detection of pathologies related to the passive part of the locomotor system in poultry (Charuta et al, 2011; Charuta et al, 2012). Diagnostic imaging is a rapidly developing field in human and veterinary medicines (Chang et al, 2014;, Aguado et al, 2015). It is used for scientific research on the growth and development of organisms (Li et al, 2015), as well as on different species of poultry (Andrássy-Baka et al, 2003; Locsmándi et al, 2004; Romvári et al, 2004). The influence of these diseases on locomotion disorders of poultry have been studied using optical 3D techniques (Caplen et al, 2012)

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