Literature DB >> 3062866

Correlation of ultrasonic attenuation with pathologic fat and fibrosis in liver disease.

T Lin1, J Ophir, G Potter.   

Abstract

The attenuation coefficient in two groups (n1 = 70; n2 = 59) of pathologically graded in vitro human liver specimens was measured over a frequency range from 1.25-8.0 MHz and fitted to a power law model. The slopes of the power law curves at 5 MHz were correlated with pathological scores for fat in Group I, which consisted of normal and fatty livers (no fibrosis); they were also correlated with the pathological score for fibrosis in Group II, which consisted of normal and fibrotic livers (no intracellular fat). Significant (p less than 0.002) differences were found between the two groups. The fatty liver group exhibited approximately a 0.23 +/- 0.06 dB cm-1 MHz-1 (fat grade)-1 behavior (mean +/- s.d.), while the fibrotic liver group exhibited approximately a 0.11 +/- 0.01 dB cm-1 MHz-1 (fibrosis grade)-1 behavior. These results may explain some of the conflicting literature in this area, and suggest that attenuation may in principle be used for screening for liver disease, but not for differentiation between fatty and fibrotic conditions.

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Year:  1988        PMID: 3062866     DOI: 10.1016/0301-5629(88)90028-2

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  14 in total

1.  Lower Bound on Estimation Variance of the Ultrasonic Attenuation Coefficient Using the Spectral-Difference Reference-phantom Method.

Authors:  Kayvan Samimi; Tomy Varghese
Journal:  Ultrason Imaging       Date:  2016-10-20       Impact factor: 1.578

2.  Ultrasound Attenuation Estimation in Harmonic Imaging for Robust Fatty Liver Detection.

Authors:  Ping Gong; Chenyun Zhou; Pengfei Song; Chengwu Huang; U-Wai Lok; Shanshan Tang; Kymberly Watt; Matthew Callstrom; Shigao Chen
Journal:  Ultrasound Med Biol       Date:  2020-08-06       Impact factor: 2.998

3.  Performance evaluation of the spectral centroid downshift method for attenuation estimation.

Authors:  Kayvan Samimi; Tomy Varghese
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2015-05       Impact factor: 2.725

4.  Optimum Diffraction-Corrected Frequency-Shift Estimator of the Ultrasonic Attenuation Coefficient.

Authors:  Kayvan Samimi; Tomy Varghese
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2016-03-04       Impact factor: 2.725

5.  Task-oriented comparison of power spectral density estimation methods for quantifying acoustic attenuation in diagnostic ultrasound using a reference phantom method.

Authors:  Ivan M Rosado-Mendez; Kibo Nam; Timothy J Hall; James A Zagzebski
Journal:  Ultrason Imaging       Date:  2013-07       Impact factor: 1.578

6.  Ultrasound-Based Attenuation Imaging for the Non-Invasive Quantification of Liver Fat - A Pilot Study on Feasibility and Inter-Observer Variability.

Authors:  Daniel Jesper; Daniel Klett; Barbara Schellhaas; Lukas Pfeifer; Moritz Leppkes; Maximilian Waldner; Markus F Neurath; Deike Strobel
Journal:  IEEE J Transl Eng Health Med       Date:  2020-06-10       Impact factor: 3.316

7.  Monitoring Microwave Ablation of Ex Vivo Bovine Liver Using Ultrasonic Attenuation Imaging.

Authors:  Kayvan Samimi; James K White; Christopher L Brace; Tomy Varghese
Journal:  Ultrasound Med Biol       Date:  2017-04-26       Impact factor: 2.998

8.  Ex vivo study of quantitative ultrasound parameters in fatty rabbit livers.

Authors:  Goutam Ghoshal; Roberto J Lavarello; Jeremy P Kemmerer; Rita J Miller; Michael L Oelze
Journal:  Ultrasound Med Biol       Date:  2012-10-11       Impact factor: 2.998

9.  Use of a convolutional neural network and quantitative ultrasound for diagnosis of fatty liver.

Authors:  Trong N Nguyen; Anthony S Podkowa; Trevor H Park; Rita J Miller; Minh N Do; Michael L Oelze
Journal:  Ultrasound Med Biol       Date:  2020-12-25       Impact factor: 2.998

10.  Fat and fibrosis as confounding cofactors in viscoelastic measurements of the liver.

Authors:  S S Poul; K J Parker
Journal:  Phys Med Biol       Date:  2021-02-11       Impact factor: 3.609

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