Literature DB >> 20858913

Assessment of the accuracy of an ultrasound elastography liver scanning system using a PVA-cryogel phantom with optimal acoustic and mechanical properties.

S Cournane1, L Cannon, J E Browne, A J Fagan.   

Abstract

The accuracy of a transient elastography liver-scanning ultrasound system was assessed using a novel application of PVA-cryogel as a tissue-mimicking material with acoustic and shear elasticity properties optimized to best represent those of liver tissue. Although the liver-scanning system has been shown to offer a safer alternative for diagnosing liver cirrhosis through stiffness measurement, as compared to the liver needle biopsy exam, the scanner's accuracy has not been fully established. Young's elastic modulus values of 5-6 wt% PVA-cryogel phantoms, also containing glycerol and 0.3 µm Al(2)O(3) and 3 µm Al(2)O(3), were measured using a 'gold standard' mechanical testing technique and transient elastography. The mechanically measured values and acoustic velocities of the phantoms ranged between 1.6 and 16.1 kPa and 1540 and 1570 m s(-1), respectively, mimicking those observed in liver tissue. The values reported by the transient elastography system overestimated Young's elastic modulus values representative of the progressive stages of liver fibrosis by up to 32%. These results were attributed to the relative rather than absolute nature of the measurement arising from the single-point acoustic velocity calibration of the system, rendering the measurements critically dependent on the speed of sound of the sample under investigation. Given the wide range of acoustic velocities which exist in the liver, spanning healthy tissue to cirrhotic pathology, coupled with the system's assumption that the liver is approximately elastic when it is rather highly viscoelastic, care should be exercised when interpreting the results from this system in patient groups.

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Year:  2010        PMID: 20858913     DOI: 10.1088/0031-9155/55/19/022

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  8 in total

1.  Optofluidic phantom mimicking optical properties of porcine livers.

Authors:  Ruiqi Long; Travis King; Tony Akl; M Nance Ericson; Mark Wilson; Gerard L Coté; Michael J McShane
Journal:  Biomed Opt Express       Date:  2011-06-09       Impact factor: 3.732

2.  Multimodal Breast Phantoms for Microwave, Ultrasound, Mammography, Magnetic Resonance and Computed Tomography Imaging.

Authors:  Giuseppe Ruvio; Raffaele Solimene; Antonio Cuccaro; Gaia Fiaschetti; Andrew J Fagan; Sean Cournane; Jennie Cooke; Max J Ammann; Jorge Tobon; Jacinta E Browne
Journal:  Sensors (Basel)       Date:  2020-04-23       Impact factor: 3.576

3.  Designing and validating a PVA liver phantom with respiratory motion for needle-based interventions.

Authors:  Tonke L de Jong; Adriaan Moelker; Jenny Dankelman; John J van den Dobbelsteen
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-07-11       Impact factor: 2.924

4.  Evaluation of liver fibrosis in chronic hepatitis B patients with 2D shear wave elastography with propagation map guidance: a single-centre study.

Authors:  Seyhmus Kavak; Safak Kaya; Ayhan Senol; Nilgun Sogutcu
Journal:  BMC Med Imaging       Date:  2022-03-18       Impact factor: 1.930

Review 5.  Liver fibrosis imaging: A clinical review of ultrasound and magnetic resonance elastography.

Authors:  Yingzhen N Zhang; Kathryn J Fowler; Arinc Ozturk; Chetan K Potu; Ashley L Louie; Vivian Montes; Walter C Henderson; Kang Wang; Michael P Andre; Anthony E Samir; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2019-03-12       Impact factor: 4.813

6.  A framework for correcting brain retraction based on an eXtended Finite Element Method using a laser range scanner.

Authors:  Ping Li; Weiwei Wang; Zhijian Song; Yong An; Chenxi Zhang
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-11-30       Impact factor: 2.924

7.  Quantitative characterization of viscoelastic behavior in tissue-mimicking phantoms and ex vivo animal tissues.

Authors:  Ashkan Maccabi; Andrew Shin; Nikan K Namiri; Neha Bajwa; Maie St John; Zachary D Taylor; Warren Grundfest; George N Saddik
Journal:  PLoS One       Date:  2018-01-26       Impact factor: 3.240

8.  Vibroacoustographic System for Tumor Identification.

Authors:  Peter A Pellionisz; Nikan K Namiri; Gregory Suematsu; Yong Hu; Ameet Braganza; Khuzaima Rangwalla; Daniel J Denson; Karam Badran; Nathan C Francis; Ashkan Maccabi; George Saddik; Zachary Taylor; Maie A St John; Warren S Grundfest
Journal:  Yale J Biol Med       Date:  2018-09-21
  8 in total

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