Relationship between shear elastic modulus and passive muscle force: An ex-vivo study

Koo, Terry K.; Guo, Jingjing; Cohen, Jeffrey H.; Parker, Kevin J.

doi:10.1016/j.jbiomech.2013.05.016

Cited by 161 publications

(144 citation statements)

References 42 publications

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“…Validity of the mathematical model derived above (Equation 8) was evaluated by comparing against the ex-vivo experimental data reported in our recent work (Koo et al, 2013).…”

Section: Model Validationmentioning

confidence: 99%

“…In Koo et al (2013), we dissected 16 gastrocnemius pars externus (GE) and 16 tibialis anterior (TA) muscles from 10 fresh roaster chickens. We measured muscle mass (m) and the distance between the proximal and distal muscle-tendon junction ( ), and used them to estimate anatomical cross-sectional area (ACSA): (i.e.…”

Section: Model Validationmentioning

confidence: 99%

“…Using SSI, our recent experimental works have demonstrated a strong linear relationship between shear modulus and muscle force during passive stretching (Koo et al, 2013) and…”

Section: Introductionmentioning

confidence: 99%

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Factors that influence muscle shear modulus during passive stretch

Koo¹,

Hug²

2015

Journal of Biomechanics

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Although elastography has been increasingly used for evaluating muscle shear modulus associated with age, sex, musculoskeletal, and neurological conditions, its physiological meaning is largely unknown. This knowledge gap may hinder data interpretation, limiting the potential of using elastography to gain insights into muscle biomechanics in health and disease. We derived a mathematical model from a widely-accepted Hill-type passive force-length relationship to gain insight about the physiological meaning of resting shear modulus of skeletal muscles under passive stretching, and validated the model by comparing against the ex-vivo animal data reported in our recent work (Koo et al. 2013). The model suggested that resting shear modulus of a slack muscle is a function of specific tension and parameters that govern the normalized passive muscle force-length relationship as well as the degree of muscle anisotropy. The model also suggested that although the slope of the linear shear modulus-passive force relationship is primarily related to muscle anatomical cross-sectional area (i.e. the smaller the muscle cross-sectional area, the more the increase in shear modulus to result in the same passive muscle force), it is also governed by the normalized passive muscle force-length relationship and the degree of muscle anisotropy. Taken together, although muscle shear modulus under passive stretching has a strong linear relationship with passive muscle force, its actual value appears to be affected by muscle's mechanical, material, and architectural properties. This should be taken into consideration when interpreting the muscle shear modulus values.

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“…Validity of the mathematical model derived above (Equation 8) was evaluated by comparing against the ex-vivo experimental data reported in our recent work (Koo et al, 2013).…”

Section: Model Validationmentioning

confidence: 99%

Section: Model Validationmentioning

confidence: 99%

See 1 more Smart Citation

Factors that influence muscle shear modulus during passive stretch

Koo¹,

Hug²

2015

Journal of Biomechanics

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“…Kot et al (2012) found that the size of the region of interest (ROI) and the probe pressure influenced elastography measurement. Moreover, subject position affects the measurement: an increase of the shear modulus was observed when muscle is passively stretched, both in vitro (Shinohara et al, 2010;Maïsetti et al, 2012;Koo et al, 2013) and ex vivo (Eby et al, 2013). Maïsetti et al (2012) and Hug et al (2013) determined in vivo the slack length of the muscle, corresponding to a range of motion in which the muscle does not produce any passive force and in which shear modulus was constant.…”

Section: Introduction and Literaturementioning

confidence: 99%

Reliable Protocol for Shear Wave Elastography of Lower Limb Muscles at Rest and During Passive Stretching

Dubois¹,

Kheireddine²,

Vergari³

et al. 2015

Ultrasound in Medicine & Biology

113

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Accepted Manuscript. Ultrasound in Medicine and Biologyy. The original publication is available at www.sciencedirect.com. DOI: doi:10.1016/j.ultrasmedbio.2015.04.020.Development of shear wave elastography gave access to non-invasive muscle stiffness assessment in vivo. The aim of the present study was to define a measurement protocol to quantify the shear modulus of lower limb muscles in order to be used in clinical routine. Four positions were defined to evaluate shear modulus, parallel to the fibers, in the anterior and posterior aspect of the lower limb, at rest and during passive stretching, of 10 healthy subjects. Reliability was first evaluated on 2 muscles by 3 operators, measurements were repeated 6 times. Then, reliability comparison of different muscle was evaluated on 11 muscles by 2 operators, measurements repeated 3 times. Reproducibility of shear modulus was 0.48 kPa and repeatability was 0.41 kPa, with all muscles pooled. The position did not significantly influence the reliability. SWE appeared as an appropriate and reliable tool to evaluate shear modulus of lower limb muscles with the proposed protocol.

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“…Ultrasound shear wave elastography can localize tissue elasticity along the longitudinal axis of the probe (Bercoff et al, 2004;Chen et al, 2009;Palmeri et al, 2008). With the gastrocnemius and tibialis anterior of fresh roaster chickens, Koo et al (2013) have reported a linear relationship between the shear modulus measured by ultrasound shear wave elastography and passive muscle force. Human experiments took advantage of this technique to detect the slack angle on the medial gastrocnemius (MG) (Maïsetti et al, 2012), biceps brachii Lacourpaille et al, 2014), and tibialis anterior (Koo et al, 2014).…”

Section: Introductionmentioning

confidence: 99%