Literature DB >> 18051163

Sensitive ultrasonic delineation of steroid treatment in living dystrophic mice with energy-based and entropy-based radio frequency signal processing.

Kirk D Wallace1, Jon N Marsh, Steven L Baldwin, Anne M Connolly, Richard Keeling, Gregory M Lanza, Samuel A Wickline, Michael S Hughes.   

Abstract

Duchenne muscular dystrophy is a severe wasting disease, involving replacement of necrotic muscle tissue by fibrous material and fatty infiltrates. One primary animal model of this human disease is the X chromosome-linked mdx strain of mice. The goals of the present work were to validate and quantify the capability of both energy and entropy metrics of radio-frequency ultrasonic backscatter to differentiate among normal, dystrophic, and steroid-treated skeletal muscle in the mdx model. Thirteen 12-month-old mice were blocked into three groups: 4 treated mdx-dystrophic that received daily subcutaneous steroid (prednisolone) treatment for 14 days, 4 positive-control mdx-dystrophic that received saline injections for 14 days, and 5 negative-control animals. Biceps muscle of each animal was imaged in vivo using a 40-MHz center frequency transducer in conjunction with a Vevo-660 ultrasound system. Radio-frequency data were acquired (1 GHz, 8 bits) corresponding to a sequence of transverse images, advancing the transducer from "shoulder" to "elbow" in 100-micron steps. Data were processed to generate both "integrated backscatter" (log energy), and "entropy" (information theoretic receiver, H(f)) representations. Analyses of the integrated-backscatter values delineated both treated-and untreated-mdx biceps from normal controls (p < 0.01). Complementary analyses of the entropy images differentiated the steroid-treated and positive-control mdx groups (p < 0.01). To our knowledge, this study represents the first reported use of quantitative ultrasonic characterization of skeletal muscle in mdx mice. Successful differentiation among dystrophic, steroid-treated, and normal tissues suggests the potential for local noninvasive monitoring of disease severity and therapeutic effects.

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Year:  2007        PMID: 18051163     DOI: 10.1109/tuffc.2007.533

Source DB:  PubMed          Journal:  IEEE Trans Ultrason Ferroelectr Freq Control        ISSN: 0885-3010            Impact factor:   2.725


  7 in total

1.  Joint entropy of continuously differentiable ultrasonic waveforms.

Authors:  M S Hughes; J E McCarthy; J N Marsh; S A Wickline
Journal:  J Acoust Soc Am       Date:  2013-01       Impact factor: 1.840

2.  Imaging deep skeletal muscle structure using a high-sensitivity ultrathin side-viewing optical coherence tomography needle probe.

Authors:  Xiaojie Yang; Dirk Lorenser; Robert A McLaughlin; Rodney W Kirk; Matthew Edmond; M Cather Simpson; Miranda D Grounds; David D Sampson
Journal:  Biomed Opt Express       Date:  2013-12-10       Impact factor: 3.732

3.  Quantitative ultrasound using backscatter analysis in Duchenne and Becker muscular dystrophy.

Authors:  Craig M Zaidman; Anne M Connolly; Elizabeth C Malkus; Julaine M Florence; Alan Pestronk
Journal:  Neuromuscul Disord       Date:  2010-12       Impact factor: 4.296

4.  Resolution of Murine Toxic Hepatic Injury Quantified With Ultrasound Entropy Metrics.

Authors:  Jon N Marsh; Kevin M Korenblat; Ta-Chiang Liu; John E McCarthy; Samuel A Wickline
Journal:  Ultrasound Med Biol       Date:  2019-07-15       Impact factor: 2.998

5.  Use of smoothing splines for analysis of backscattered ultrasonic waveforms: application to monitoring of steroid treatment of dystrophic mice.

Authors:  Michael S Hughes; Jon N Marsh; Kwesi F Agyem; John E McCarthy; Brian N Maurizi; Mladen Victor Wickerhauser; Kirk D Wallace; Gregory M Lanza; Samuel A Wickline
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2011-11       Impact factor: 2.725

6.  Quantitative ultrasound of skeletal muscle: reliable measurements of calibrated muscle backscatter from different ultrasound systems.

Authors:  Craig M Zaidman; Mark R Holland; Michael S Hughes
Journal:  Ultrasound Med Biol       Date:  2012-07-03       Impact factor: 2.998

7.  Small-window parametric imaging based on information entropy for ultrasound tissue characterization.

Authors:  Po-Hsiang Tsui; Chin-Kuo Chen; Wen-Hung Kuo; King-Jen Chang; Jui Fang; Hsiang-Yang Ma; Dean Chou
Journal:  Sci Rep       Date:  2017-01-20       Impact factor: 4.379

  7 in total

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