Ultrasound Imaging of Muscle Contraction of the Tibialis Anterior in Patients with Facioscapulohumeral Dystrophy

Gijsbertse, Kaj; Goselink, Rianne J.M.; Lassche, Saskia; Nillesen, Maartje M.; Sprengers, André; Alfen, Nens van; Korte, Chris de

doi:10.1016/j.ultrasmedbio.2017.06.016

Cited by 18 publications

(9 citation statements)

References 40 publications

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“…Fourth, fatty infiltration may hamper the transfer of force to the tendon due to fatty interposition, resulting in reduced muscle strength. Advanced imaging techniques, such as ultrasound strain measurement [22][23][24] and diffusion-tensor imaging [25] can demonstrate muscle contraction patterns and force propagation and may characterize possible alterations in muscle fibers in FSHD. Besides fatty infiltration, FSHD muscles may suffer from increased interstitial fibrosis which would reduce the fractional muscular area.…”

Section: Discussionmentioning

confidence: 99%

Specific muscle strength is reduced in facioscapulohumeral dystrophy: An MRI based musculoskeletal analysis

Marra

Heskamp

Mul

et al. 2018

Neuromuscular Disorders

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The aim was to test whether strength per unit of muscle area (specific muscle strength) is affected in facioscapulohumeral dystrophy (FSHD) patients, as compared to healthy controls. Ten patients and ten healthy volunteers underwent an MRI examination and maximum voluntary isometric contraction measurements (MVICs) of the quadriceps muscles. Contractile muscle volume, as obtained from the MR images, was combined with the MVICs to calculate the physiological cross-sectional area (PCSA) and muscle strength using a musculoskeletal model. Subsequently, specific strength was calculated for each subject as muscle strength divided by total PCSA. FSHD patients had a reduced quadriceps muscle strength (median(1st quartile-3rd quartile): 2011 (905.4-2775) N vs. 5510 (4727-8321) N, p <0.001) and total PCSA (83.6 (62.3-124.8) cmvs. 140.1(97.1-189.9) cm, p = 0.015) compared to healthy controls. Furthermore, the specific strength of the quadriceps was significantly lower in patients compared to healthy controls (20.9 (14.7-24.0) N/cmvs. 41.9 (38.3-49.0) N/cm, p <0.001). Thus, even when correcting for atrophy and fatty infiltration, patients with FSHD generated less force per unit area of residual muscle tissue than healthy controls. Possible explanations include impaired force propagation due to fatty infiltration, reduced intrinsic force-generating capacity of the muscle fibers, or mitochondrial abnormalities leading to impaired energy metabolism.

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Section: Discussionmentioning

confidence: 99%

Specific muscle strength is reduced in facioscapulohumeral dystrophy: An MRI based musculoskeletal analysis

Marra

Heskamp

Mul

et al. 2018

Neuromuscular Disorders

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“…While static muscle ultrasound images are already very useful for diagnostic and follow up purposes in neuromuscular disease, ultrasound also brings a dynamic capability that can capture movement in a video sequence. For example, ultrasound videos can be used to show normal and abnormal muscle contraction patterns in muscular dystrophy, using a technique called speckle tracking 55 . But probably the most useful dynamic application of muscle ultrasound is the detection of fasciculations in patients with suspected motor neuron disease.…”

Section: Current Possibilities Of Muscle Ultrasoundmentioning

confidence: 99%

Muscle ultrasound: Present state and future opportunities

2020

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Muscle ultrasound is a valuable addition to the neuromuscular toolkit in both the clinic and research settings, with proven value and reliability. However, it is currently not fulfilling its full potential in the diagnostic care of patients with neuromuscular disease. This review highlights the possibilities and pitfalls of muscle ultrasound as a diagnostic tool and biomarker, and discusses challenges to its widespread implementation. We expect that limitations in visual image interpretation, posed by user inexperience, could be overcome with simpler scoring systems and the help of deep‐learning algorithms. In addition, more information should be collected on the relation between specific neuromuscular disorders, disease stages, and expected ultrasound abnormalities, as this will enhance specificity of the technique and enable the use of muscle ultrasound as a biomarker. Quantified muscle ultrasound gives the most sensitive results but is hampered by the need for device‐specific reference values. Efforts in creating dedicated muscle ultrasound systems and artificial intelligence to help with image interpretation are expected to improve usability. Finally, the standard inclusion of muscle and nerve ultrasound in neuromuscular teaching curricula and guidelines will facilitate further implementation in practice. Our hope is that this review will help in unleashing muscle ultrasound's full potential.

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“…Real time ultrasound can assess skeletal muscle, and in combination with visualization of condylar translation data, can identify muscle disorders more accurately. RTUS can reveal muscle characteristics such as cross-sectional area, thickness, fascicle length and pennation angle (41), and has been used to quantify muscle function in neuromuscular disorders (42). Combining muscle cross-sectional area with condylar translation data could quantify muscle function in joint disorders, which may improve diagnostic accuracy and help predict postsurgical rehabilitation responses.…”

Section: Real-time Ultrasound (Rtus) Used For Tmj and Muscle Imagingmentioning

confidence: 99%

Physical therapy for temporomandibular disorders: evidence-based improvements and enhancements for diagnosis and management

Prodoehl¹,

Kahnert²

2022

Front Oral Maxillofac Med

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The most common oral and maxillofacial disorders treated by physical therapists are temporomandibular disorders (TMD), and rehabilitation strategies continue to evolve with advancements in research and technology. While physical therapy is an evidence-supported approach to the management of TMD, difficulties with referral to and access to appropriately trained physical therapists can create disparity in care for patients. Lack of interdisciplinary collaboration and practice is an ongoing issue, particularly among dentists and physical therapists and this can translate to less than optimal care for individuals with TMD. While dentists and physical therapists may utilize similar diagnostic criteria, implementation gaps in use of consistent diagnostic criteria still exist across both professions. Additionally, possibilities exist for the future expansion of such criteria to recognize the contribution of structures and comorbidities outside of the masticatory system such as the cervical spine and central nervous system changes that can promote the persistence of pain in some individuals with TMD. Pain neuroscience education, epigenetics, and other rehabilitation tools such as virtual reality may allow physical therapists to address the central nervous system changes associated with pain persistence and a fear of movement seen in some individuals with TMD.Applying biomechanical knowledge gained from real-time ultrasound muscle imaging and musculoskeletal modeling will enhance diagnostic management and post-surgical rehabilitation approaches. The purpose of this review paper is to describe novel evidence-based rehabilitative tools or concepts that can be used to improve the diagnosis and management of individuals with TMD. Continued growth and development in research and clinical practice related to TMD will ultimately lead to improved care for individuals with TMD, both conservatively and post-surgically.

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Ultrasound Imaging of Muscle Contraction of the Tibialis Anterior in Patients with Facioscapulohumeral Dystrophy

Cited by 18 publications

References 40 publications

Specific muscle strength is reduced in facioscapulohumeral dystrophy: An MRI based musculoskeletal analysis

Specific muscle strength is reduced in facioscapulohumeral dystrophy: An MRI based musculoskeletal analysis

Muscle ultrasound: Present state and future opportunities

Physical therapy for temporomandibular disorders: evidence-based improvements and enhancements for diagnosis and management

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