Literature DB >> 18841866

Real-time sonoelastography of hepatic thermal lesions in a swine model.

Man Zhang1, Benjamin Castaneda, Jared Christensen, Wael E Saad, Kevin Bylund, Kenneth Hoyt, John G Strang, Deborah J Rubens, Kevin J Parker.   

Abstract

Sonoelastography has been developed as an ultrasound-based elasticity imaging technique. In this technique, external vibration is induced into the target tissue. In general, tissue stiffness is inversely proportional to the amplitude of tissue vibration. Imaging tissue vibration will provide the elasticity distribution in the target region. This study investigated the feasibility of using real-time sonoelastography to detect and estimate the volume of thermal lesions in porcine livers in vivo. A total of 32 thermal lesions with volumes ranging from 0.2 to 5.3 cm3 were created using radiofrequency ablation (RFA) or high-intensity focused ultrasound (HIFU) technique. Lesions were imaged using sonoelastography and coregistered B-mode ultrasound. Volumes were reconstructed from a sequence of two-dimensional scans. The comparison of sonoelastographic measurements and pathology findings showed good correlation with respect to the area of the lesions (r2 = 0.8823 for RFA lesions, r2 = 0.9543 for HIFU lesions). In addition, good correspondence was found between three-dimensional sonoelastography and gross pathology (3.6% underestimate), demonstrating the feasibility of sonoelastography for volume estimation of thermal lesions. These results support that sonoelastography outperforms conventional B-mode ultrasound and could potentially be used for assessment of thermal therapies.

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Year:  2008        PMID: 18841866      PMCID: PMC2673656          DOI: 10.1118/1.2968939

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  44 in total

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2.  Elastographic measurement of the area and volume of thermal lesions resulting from radiofrequency ablation: pathologic correlation.

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  21 in total

1.  Quantifying local stiffness variations in radiofrequency ablations with dynamic indentation.

Authors:  Ryan J DeWall; Tomy Varghese; Christopher L Brace
Journal:  IEEE Trans Biomed Eng       Date:  2011-12-08       Impact factor: 4.538

2.  Analysis of shear strain imaging for classifying breast masses: finite element and phantom results.

Authors:  Haiyan Xu; Tomy Varghese; Ernest L Madsen
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Review 4.  Medical ultrasound: imaging of soft tissue strain and elasticity.

Authors:  Peter N T Wells; Hai-Dong Liang
Journal:  J R Soc Interface       Date:  2011-06-16       Impact factor: 4.118

5.  Visualizing ex vivo radiofrequency and microwave ablation zones using electrode vibration elastography.

Authors:  Ryan J Dewall; Tomy Varghese; Chris L Brace
Journal:  Med Phys       Date:  2012-11       Impact factor: 4.071

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Authors:  E M Jung; P Wiggermann; C Stroszczynski; M F Reiser; D-A Clevert
Journal:  Radiologe       Date:  2012-08       Impact factor: 0.635

7.  Relative Elastic Modulus Imaging Using Sector Ultrasound Data for Abdominal Applications: An Evaluation of Strategies and Feasibility.

Authors:  Bo Peng; Yu Wang; Wenjun Yang; Tomy Varghese; Jingfeng Jiang
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2016-07-09       Impact factor: 2.725

8.  Ultrasound-based relative elastic modulus imaging for visualizing thermal ablation zones in a porcine model.

Authors:  Jingfeng Jiang; Chris Brace; Anita Andreano; Ryan J DeWall; Nick Rubert; Ted G Fisher; Tomy Varghese; Fred Lee; Timothy J Hall
Journal:  Phys Med Biol       Date:  2010-03-30       Impact factor: 3.609

9.  High-frequency ultrasound m-mode imaging for identifying lesion and bubble activity during high-intensity focused ultrasound ablation.

Authors:  Ronald E Kumon; Madhu S R Gudur; Yun Zhou; Cheri X Deng
Journal:  Ultrasound Med Biol       Date:  2012-02-15       Impact factor: 2.998

10.  Sparse matrix beamforming and image reconstruction for 2-D HIFU monitoring using harmonic motion imaging for focused ultrasound (HMIFU) with in vitro validation.

Authors:  Gary Y Hou; Jean Provost; Julien Grondin; Shutao Wang; Fabrice Marquet; Ethan Bunting; Elisa E Konofagou
Journal:  IEEE Trans Med Imaging       Date:  2014-06-20       Impact factor: 10.048

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