Comparison of two ways of altering carpal tunnel pressure with ultrasound surface wave elastography

Cheng, Yu-Shiuan; Zhou, Boran; Kubo, Kazutoshi; An, Kai Nan; Moran, Steven L.; Amadio, Peter C.; Zhang, Xiao Ming; Zhao, Chunfeng

doi:10.1016/j.jbiomech.2018.04.003

Cited by 22 publications

(8 citation statements)

References 14 publications

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“…Wave propagation was analyzed along eight locations over a 6-to 8-mm distance on the lung surface ( Fig 1C). Wave speed, or c s , was estimated by determining the phase change with distance along the lung surface (18,19) as follows:…”

Section: Key Pointsmentioning

confidence: 99%

Lung US Surface Wave Elastography in Interstitial Lung Disease Staging

et al. 2019

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he prevalence of interstitial pulmonary fibrosis in the United States ranges from 14.0-27.9 and 42.7-63.0 cases per 100 000 people (using narrow and broad case definitions, respectively) (1). Accurate prognostic assessment facilitates identification of high-risk patients who may benefit from treatment. Pulmonary function tests (PFTs) have been used to develop a prognostic algorithm for interstitial lung disease (2). However, major constraints of PFTs include their wide range of normal values (80%-120% of the predicted value) and relative insensitivity for detecting early stage lung disease. To improve the accuracy of interstitial lung disease staging, high-resolution CT can be used to characterize and quantify the extent of disease (3-6), but this procedure requires exposure to ionizing radiation and can be expensive. Thus, high-resolution CT is not an ideal test for screening at-risk patients or evaluating those who may have early interstitial lung disease (7). Lung US has been increasingly used in the past decade for assessing lung disease (8-10). Its advantages over other imaging modalities are speed, ease of use, portability, absence of ionizing radiation, and low cost (11). Moreover, lung US surface wave elastography (SWE) is an emerging medical imaging technique that can noninvasively quantify lung surface stiffness by evaluating the rate of surface wave propagation (12). These preliminary studies suggest that lung surface wave speed, as measured by elastography, is a relevant biomarker of lung fibrosis. The purpose of this study was to examine the lung surface wave speed values for grading the severity of interstitial lung disease based on highresolution CT, PFT, and clinical assessments. Materials and Methods Our institutional review board approved this prospective study. All study subjects provided written informed consent.

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Section: Key Pointsmentioning

confidence: 99%

Lung US Surface Wave Elastography in Interstitial Lung Disease Staging

et al. 2019

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“…Recently, ultrasound shear wave elastography (USWE) has been applied to assess skin and lung diseases (Cheng et al, 2018; Osborn et al, 2017; Zhang et al, 2017b). USWE seeks to investigate the viscoelastic properties within the region of interest that will affect the shear wave motion, which is related to changes in the viscoelastic properties of the soft tissue altered by various pathologies (Zhang et al).…”

Section: Introductionmentioning

confidence: 99%

Comparison of five viscoelastic models for estimating viscoelastic parameters using ultrasound shear wave elastography

Zhou

Zhang

2018

Journal of the Mechanical Behavior of Biomedical Materials

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The purpose of this study is to compare five viscoelastic models (Voigt, Maxwell, standard linear solid, spring-pot, and fractional Voigt models) for estimating viscoelastic properties based on ultrasound shear wave elastography measurements. We performed the forward problem analysis, the inverse problem analysis, and experiments. In the forward problem analysis, the shear wave speeds at different frequencies were calculated using the Voigt model for given shear elasticity and varying shear viscosity. In the inverse problem analysis, the viscoelastic parameters were estimated from the given wave speeds for the five viscoelastic models using the least-square regression. The experiment was performed in a tissue-mimicking phantom. A local harmonic vibration was generated via a mechanical shaker on the phantom at five frequencies (100, 150, 200, 250, and 300 Hz) and an ultrasound transducer was used to capture the tissue motion. Shear wave speed of the phantom was measured using the ultrasound shear wave elastography technique. The parameters for different viscoelastic models for the phantom were identified. For both analytical and experimental studies, ratios of storage to loss modulus as a function of excitation frequency for different viscoelastic models were calculated. We found that the Voigt and fractional Voigt models fit well with the shear wave speed - frequency and ratio of storage to loss modulus - frequency relationships both in analytical and experimental studies.

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“…Therefore, the SWV can be calculated using Eq. ():

SWV = \frac{2 π f}{α}

where f is the excitation frequency of the shear wave and α is the slope of linear regression …”

Section: Methodsmentioning

confidence: 99%

Characterization of the extensor digitorum communis tendon using high‐frequency ultrasound shear wave elastography

et al. 2020

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Purpose: Hand tendon injuries caused by various accidents are common in emergency departments. The assessment of tendon properties is crucial for evaluating the effectiveness of therapy or rehabilitation during recovery after hand injuries. Many recent studies have indicated that the shear wave velocity (SWV) of tendons is related to their stiffness. However, measurement of SWV of hand tendon is still a challenge because the small size of tendon and the limitation of existing ultrasound systems for detecting fast SWV. Methods: We propose a high-frequency ultrasound (HFUS) elastography system using an external vibrator to measure the SWV of the extensor digitorum communis (EDC) tendon. First, animal studies were performed by measuring the SWV and stress of porcine tendons using the proposed HFUS elastography and materials testing systems respectively. In the human experiment, SWVs were measured during hand extension and flexion. The applied stress from a finger during the movements was recorded synchronously by using a load cell. Results: The experimental results reveal that a favorable linear correction (R 2 of 0.96) was obtained between tendon SWV and stress in animal studies. In the human (hand) EDC tendon experiments, the SWV increased with the extension and flexion of the hand. The SWV of the EDC tendon was in the range of 20 to 135 m/s as the applied force from the finger of a healthy human increased to 50% maximal voluntary contraction. Conclusions: All the experimental results show that the proposed HFUS elastography system can be used to characterize the EDC tendon and has potential use for evaluating tendon stiffness during recovery after hand injures.

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Comparison of two ways of altering carpal tunnel pressure with ultrasound surface wave elastography

Cited by 22 publications

References 14 publications

Lung US Surface Wave Elastography in Interstitial Lung Disease Staging

Lung US Surface Wave Elastography in Interstitial Lung Disease Staging

Comparison of five viscoelastic models for estimating viscoelastic parameters using ultrasound shear wave elastography

Characterization of the extensor digitorum communis tendon using high‐frequency ultrasound shear wave elastography

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