Literature DB >> 24487698

Detecting hepatic steatosis using ultrasound-induced thermal strain imaging: an ex vivo animal study.

Ahmed M Mahmoud1, Xuan Ding, Debaditya Dutta, Vijay P Singh, Kang Kim.   

Abstract

Hepatic steatosis or fatty liver disease occurs when lipids accumulate within the liver and can lead to steatohepatitis, cirrhosis, liver cancer and eventual liver failure requiring liver transplant. Conventional brightness mode (B-mode) ultrasound (US) is the most common noninvasive diagnostic imaging modality used to diagnose hepatic steatosis in clinics. However, it is mostly subjective or requires a reference organ such as the kidney or spleen with which to compare. This comparison can be problematic when the reference organ is diseased or absent. The current work presents an alternative approach to noninvasively detecting liver fat content using US-induced thermal strain imaging (US-TSI). This technique is based on the difference in the change in the speed of sound as a function of temperature between water- and lipid-based tissues. US-TSI was conducted using two system configurations including a mid-frequency scanner with a single linear array transducer (5-14 MHz) for both imaging and heating and a high-frequency (13-24 MHz) small animal imaging system combined with a separate custom-designed US heating transducer array. Fatty livers (n = 10) with high fat content (45.6 ± 11.7%) from an obese mouse model and control livers (n = 10) with low fat content (4.8 ± 2.9%) from wild-type mice were embedded in gelatin. Then, US imaging was performed before and after US induced heating. Heating time periods of ∼ 3 s and ∼ 9.2 s were used for the mid-frequency imaging and high-frequency imaging systems, respectively, to induce temperature changes of approximately 1.5 °C. The apparent echo shifts that were induced as a result of sound speed change were estimated using 2D phase-sensitive speckle tracking. Following US-TSI, histology was performed to stain lipids and measure percentage fat in the mouse livers. Thermal strain measurements in fatty livers (-0.065 ± 0.079%) were significantly (p < 0.05) higher than those measured in control livers (-0.124 ± 0.037%). Using histology as a gold standard to classify mouse livers, US-TSI had a sensitivity and specificity of 70% and 90%, respectively. The area under the receiver operating characteristic curve was 0.775. This ex vivo study demonstrates the feasibility of using US-TSI to detect fatty livers and warrants further investigation of US-TSI as a diagnostic tool for hepatic steatosis.

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Year:  2014        PMID: 24487698      PMCID: PMC3971123          DOI: 10.1088/0031-9155/59/4/881

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


  36 in total

1.  Liver fibrosis in overweight patients.

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Journal:  Gastroenterology       Date:  2000-06       Impact factor: 22.682

Review 2.  Ultrasound-biophysics mechanisms.

Authors:  William D O'Brien
Journal:  Prog Biophys Mol Biol       Date:  2006-08-08       Impact factor: 3.667

3.  Inducing and imaging thermal strain using a single ultrasound linear array.

Authors:  Sheng-Wen Huang; Kang Kim; Russell S Witte; Ragnar Olafsson; Matthew O'Donnell
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2007-09       Impact factor: 2.725

4.  Noninvasive temperature estimation in tissue via ultrasound echo-shifts. Part I. Analytical model.

Authors:  R Maass-Moreno; C A Damianou
Journal:  J Acoust Soc Am       Date:  1996-10       Impact factor: 1.840

Review 5.  Non-invasive assessment and quantification of liver steatosis by ultrasound, computed tomography and magnetic resonance.

Authors:  Nina F Schwenzer; Fabian Springer; Christina Schraml; Norbert Stefan; Jürgen Machann; Fritz Schick
Journal:  J Hepatol       Date:  2009-06-11       Impact factor: 25.083

6.  The diagnostic accuracy of US, CT, MRI and 1H-MRS for the evaluation of hepatic steatosis compared with liver biopsy: a meta-analysis.

Authors:  Anneloes E Bohte; Jochem R van Werven; Shandra Bipat; Jaap Stoker
Journal:  Eur Radiol       Date:  2010-07-31       Impact factor: 5.315

7.  Flexible integration of high-imaging-resolution and high-power arrays for ultrasound-induced thermal strain imaging (US-TSI).

Authors:  Douglas N Stephens; Ahmed M Mahmoud; Xuan Ding; Steven Lucero; Debaditya Dutta; Francois T H Yu; Xucai Chen; Kang Kim
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2013-12       Impact factor: 2.725

8.  Quantification of hepatic steatosis with 3-T MR imaging: validation in ob/ob mice.

Authors:  Catherine D G Hines; Huanzhou Yu; Ann Shimakawa; Charles A McKenzie; Thomas F Warner; Jean H Brittain; Scott B Reeder
Journal:  Radiology       Date:  2010-01       Impact factor: 11.105

9.  The natural history of nonalcoholic fatty liver: a follow-up study.

Authors:  M R Teli; O F James; A D Burt; M K Bennett; C P Day
Journal:  Hepatology       Date:  1995-12       Impact factor: 17.425

10.  In vivo liver tracking with a high volume rate 4D ultrasound scanner and a 2D matrix array probe.

Authors:  Muyinatu A Lediju Bell; Brett C Byram; Emma J Harris; Philip M Evans; Jeffrey C Bamber
Journal:  Phys Med Biol       Date:  2012-02-21       Impact factor: 3.609

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  5 in total

1.  Multi-Focus Beamforming for Thermal Strain Imaging Using a Single Ultrasound Linear Array Transducer.

Authors:  Man M Nguyen; Xuan Ding; Steven A Leers; Kang Kim
Journal:  Ultrasound Med Biol       Date:  2017-03-18       Impact factor: 2.998

Review 2.  Thermometry and ablation monitoring with ultrasound.

Authors:  Matthew A Lewis; Robert M Staruch; Rajiv Chopra
Journal:  Int J Hyperthermia       Date:  2015-03-10       Impact factor: 3.914

3.  Improved Estimation of Ultrasound Thermal Strain Using Pulse Inversion Harmonic Imaging.

Authors:  Xuan Ding; Man M Nguyen; Isaac B James; Kacey G Marra; J Peter Rubin; Steven A Leers; Kang Kim
Journal:  Ultrasound Med Biol       Date:  2016-03-02       Impact factor: 2.998

4.  Non-invasive Assessment of Liver Fat in ob/ob Mice Using Ultrasound-Induced Thermal Strain Imaging and Its Correlation with Hepatic Triglyceride Content.

Authors:  Waqas B Khalid; Nadim Farhat; Linda Lavery; Josh Jarnagin; James P Delany; Kang Kim
Journal:  Ultrasound Med Biol       Date:  2021-01-16       Impact factor: 2.998

5.  Intravascular Photothermal Strain Imaging for Lipid Detection.

Authors:  Changhoon Choi; Joongho Ahn; Chulhong Kim
Journal:  Sensors (Basel)       Date:  2018-10-24       Impact factor: 3.576

  5 in total

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