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. 2023 Jan 30:10:1116854.
doi: 10.3389/fvets.2023.1116854. eCollection 2023.

Non-invasive methods to assess muscle function in dogs: A scoping review

Kathrine Højte Dahl  1 , Mette Kreutzfeldt Zebis  2   3 , Anne Désiré Vitger  1 , James Edward Miles  1 , Tine Alkjær  4   5
Affiliations

Non-invasive methods to assess muscle function in dogs: A scoping review

Kathrine Højte Dahl et al. Front Vet Sci. .

Erratum in

Abstract

Skeletal muscle function can be affected by multiple disorders in dogs of which cranial cruciate ligament rupture or disease (CCLD) is one of the most common. Despite the significance of this condition only sparse research exists regarding assessment of muscle function in dogs. This scoping review aimed to identify the non-invasive methods for canine muscle function assessments that have been reported in the literature in the past 10 years. A systematic literature search was conducted 1st March 2022 across six databases. After screening, 139 studies were considered eligible for inclusion. Among the included studies, 18 different muscle function assessment categories were identified, and the most frequently reported disease state was CCLD. We included an attempt to elucidate the clinical applicability of the 18 reported methods, as experts were asked to subjectively assess the methods for their clinical relevance as well as their practical applicability in dogs with CCLD.

Keywords: cranial cruciate ligament rupture; dogs; methods; muscle function; non-invasive.

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Conflict of interest statement

Adrian Harrison is a co-supervisor for KD's PhD project. Adrian Harrison established the company MyoDynamik Aps in 2011 that offers AMG equipment. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Flow diagram of the selection process (19, 21).
Figure 2
Figure 2
Pie chart visualising the distribution of the identified method categories based on all observations (n = 248).
Figure 3
Figure 3
Percentage distribution of 18 different muscle function assessment methods among all the included studies (n = 139, grey bars) compared with the distribution in only a small part of these studies focusing on cranial cruciate ligament disease (n = 16, red bars).
Figure 4
Figure 4
The grading of the identified muscle function assessment methods made by experts in biomechanics (x-axis) and clinical experts (y-axis) in relation to dogs with cranial cruciate ligament disease. The most optimal techniques are placed closer to the upper right corner, and the least optimal closest to the lower left corner.
Figure 5
Figure 5
Geographical distribution of where the 139 included studies were conducted.
See this image and copyright information in PMC

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