Literature DB >> 30236977

The effect of pleural fluid layers on lung surface wave speed measurement: Experimental and numerical studies on a sponge lung phantom.

Boran Zhou1, Xiaoming Zhang2.   

Abstract

Pleural effusion manifests as compression of pleural fluid on the lung parenchyma contributing to hypoxemia. Medical procedures such as drainage of plural fluid releases this compression and increases oxygenation. However, the effect of pleural effusion on the elasticity of lung parenchyma is unknown. By using lung ultrasound surface wave elastography (LUSWE) and finite element method (FEM), the effect of pleural effusion on the elasticity of superficial lung parenchyma in terms of surface wave speed measurement was evaluated in a sponge phantom study. Different thicknesses of ultrasound transmission gel used to simulated pleural fluid were inserted into a condom, which was placed between the sponge and standoff pad. A mechanical shaker was used to generate vibration on the sponge phantom at different frequencies ranging from 100 to 300 Hz while the ultrasound transducer was used to capture the motion for measurement of surface wave speed of the sponge. FEM was conducted based on the experimental setup and numerically assessed the influence of pleural effusion on the surface wave speed of the sponge. We found from FEM experiments that the influence of thickness of ultrasound transmission gel was statistically insignificant on the surface wave speed of the sponge at 100 and 150 Hz.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Finite element modeling (FEM); Lung parenchyma; Lung sponge phantom; Lung ultrasound surface wave elastography (LUSWE); Pleural effusion

Mesh:

Year:  2018        PMID: 30236977      PMCID: PMC6188843          DOI: 10.1016/j.jmbbm.2018.09.007

Source DB:  PubMed          Journal:  J Mech Behav Biomed Mater        ISSN: 1878-0180


  24 in total

1.  Ultrasound estimation of volume of pleural fluid in mechanically ventilated patients.

Authors:  M Balik; P Plasil; P Waldauf; J Pazout; M Fric; M Otahal; J Pachl
Journal:  Intensive Care Med       Date:  2006-01-24       Impact factor: 17.440

2.  Lung mass density analysis using deep neural network and lung ultrasound surface wave elastography.

Authors:  Boran Zhou; Xiaoming Zhang
Journal:  Ultrasonics       Date:  2018-05-23       Impact factor: 2.890

3.  Material property estimation for tubes and arteries using ultrasound radiation force and analysis of propagating modes.

Authors:  Miguel Bernal; Ivan Nenadic; Matthew W Urban; James F Greenleaf
Journal:  J Acoust Soc Am       Date:  2011-03       Impact factor: 1.840

4.  The quantitative evaluation of the relationship between the forces applied to the palm and carpal tunnel pressure.

Authors:  Kazutoshi Kubo; Yu-Shiuan Cheng; Boran Zhou; Kai-Nan An; Steven L Moran; Peter C Amadio; Xiaoming Zhang; Chunfeng Zhao
Journal:  J Biomech       Date:  2017-11-04       Impact factor: 2.712

5.  Quantitative assessment of pleural effusion in critically ill patients by means of ultrasonography.

Authors:  Philippe Vignon; Catherine Chastagner; Vanessa Berkane; Eric Chardac; Bruno François; Sandrine Normand; Michel Bonnivard; Marc Clavel; Nicolas Pichon; Pierre-Marie Preux; Antoine Maubon; Hervé Gastinne
Journal:  Crit Care Med       Date:  2005-08       Impact factor: 7.598

6.  In vivo estimation of perineal body properties using ultrasound quasistatic elastography in nulliparous women.

Authors:  Luyun Chen; Lisa Kane Low; John Ol DeLancey; James A Ashton-Miller
Journal:  J Biomech       Date:  2015-03-11       Impact factor: 2.712

7.  A Novel Noninvasive Ultrasound Vibro-elastography Technique for Assessing Patients With Erectile Dysfunction and Peyronie Disease.

Authors:  Xiaoming Zhang; Boran Zhou; Andre F Miranda; Landon W Trost
Journal:  Urology       Date:  2018-03-13       Impact factor: 2.649

8.  A three-dimensional theoretical model of the relationship between cavernosal expandability and percent cavernosal smooth muscle.

Authors:  Haibiao Luo; Irwin Goldstein; Daniel Udelson
Journal:  J Sex Med       Date:  2007-05       Impact factor: 3.802

Review 9.  Ultrasound in the diagnosis and management of pleural effusions.

Authors:  Nilam J Soni; Ricardo Franco; Maria I Velez; Daniel Schnobrich; Ria Dancel; Marcos I Restrepo; Paul H Mayo
Journal:  J Hosp Med       Date:  2015-07-28       Impact factor: 2.960

10.  Cellularized microcarriers as adhesive building blocks for fabrication of tubular tissue constructs.

Authors:  Waleed O Twal; Sandra C Klatt; Keerthi Harikrishnan; Ebtesam Gerges; Marion A Cooley; Thomas C Trusk; Boran Zhou; Mohamed G Gabr; Tarek Shazly; Susan M Lessner; Roger R Markwald; W Scott Argraves
Journal:  Ann Biomed Eng       Date:  2013-08-14       Impact factor: 3.934

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  5 in total

1.  Lung US Surface Wave Elastography in Interstitial Lung Disease Staging.

Authors:  Boran Zhou; Brian J Bartholmai; Sanjay Kalra; Thomas G Osborn; Xiaoming Zhang
Journal:  Radiology       Date:  2019-03-05       Impact factor: 11.105

2.  Lung mass density prediction using machine learning based on ultrasound surface wave elastography and pulmonary function testing.

Authors:  Boran Zhou; Brian J Bartholmai; Sanjay Kalra; Thomas Osborn; Xiaoming Zhang
Journal:  J Acoust Soc Am       Date:  2021-02       Impact factor: 1.840

3.  A Pilot Study of Wet Lung Using Lung Ultrasound Surface Wave Elastography in an Ex Vivo Swine Lung Model.

Authors:  Xiaoming Zhang; Boran Zhou; Alex X Zhang
Journal:  Appl Sci (Basel)       Date:  2019-09-19       Impact factor: 2.838

4.  Predicting lung mass density of patients with interstitial lung disease and healthy subjects using deep neural network and lung ultrasound surface wave elastography.

Authors:  Boran Zhou; Brian J Bartholmai; Sanjay Kalra; Xiaoming Zhang
Journal:  J Mech Behav Biomed Mater       Date:  2020-02-07

5.  Low-frequency HIFU induced cancer immunotherapy: tempting challenges and potential opportunities.

Authors:  Guilian Shi; Mingchuan Zhong; Fuli Ye; Xiaoming Zhang
Journal:  Cancer Biol Med       Date:  2019-11       Impact factor: 4.248

  5 in total

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