Literature DB >> 31130411

Considerations of Ultrasound Scanning Approaches in Non-alcoholic Fatty Liver Disease Assessment through Acoustic Structure Quantification.

Ying-Hsiu Lin1, Yung-Liang Wan2, Dar-In Tai3, Jeng-Hwei Tseng4, Chiao-Yin Wang5, Yu-Wei Tsai1, Yi-Ru Lin6, Tu-Yung Chang7, Po-Hsiang Tsui8.   

Abstract

Non-alcoholic fatty liver disease (NAFLD) is a risk factor for hepatic fibrosis and cirrhosis. Acoustic structure quantification (ASQ), based on statistical analysis of ultrasound echoes, is an emerging technique for hepatic steatosis diagnosis. A standardized measurement protocol for ASQ analysis was suggested previously; however, an optimal ultrasound scanning approach has not been concluded thus far. In this study, the suitability of scanning approaches for the ASQ-based evaluation of hepatic steatosis was investigated. Hepatic fat fractions (HFFs; liver segments VIII, III and VI) of 70 living liver donors were assessed with magnetic resonance spectroscopy. A clinical ultrasound machine equipped with a 3-MHz convex transducer was used to scan each participant using the intercostal, epigastric and subcostal planes to acquire raw data for estimating two ASQ parameters (Cm2 and focal disturbance [FD] ratio) of segments VIII, III and VI, respectively. The parameters were plotted as functions of the HFF for calculating the values of the correlation coefficient (r) and probability value (p). The diagnostic performance of the parameters in discriminating between the normal and steatotic (≥5 and ≥10%) groups was also compared using receiver operating characteristic (ROC) curves. The Cm2 and FD ratio values measured using the epigastric and subcostal planes did not correlate with the severity of hepatic steatosis. However, intercostal imaging exhibited a higher correlation between the ASQ parameters and HFF (r = -0.64, p < 0.001). The diagnostic performance of Cm2 and FD ratio in detecting hepatic steatosis using intercostal imaging was also satisfactory (areas under ROC curves >0.8). Intercostal imaging is an appropriate scanning approach for ASQ analysis of the liver.
Copyright © 2019 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acoustic structure quantification; Amplitude envelope analysis; Fatty liver; Hepatic steatosis; Quantitative diagnosis; Ultrasound

Mesh:

Year:  2019        PMID: 31130411     DOI: 10.1016/j.ultrasmedbio.2019.04.018

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


  5 in total

1.  Assessment of Hepatic Steatosis in Nonalcoholic Fatty Liver Disease by Using Quantitative US.

Authors:  Aiguo Han; Yingzhen N Zhang; Andrew S Boehringer; Vivian Montes; Michael P Andre; John W Erdman; Rohit Loomba; Mark A Valasek; Claude B Sirlin; William D O'Brien
Journal:  Radiology       Date:  2020-02-04       Impact factor: 11.105

2.  Ultrasound Sample Entropy Imaging: A New Approach for Evaluating Hepatic Steatosis and Fibrosis.

Authors:  Hsien-Jung Chan; Zhuhuang Zhou; Jui Fang; Dar-In Tai; Jeng-Hwei Tseng; Ming-Wei Lai; Bao-Yu Hsieh; Tadashi Yamaguchi; Po-Hsiang Tsui
Journal:  IEEE J Transl Eng Health Med       Date:  2021-11-02       Impact factor: 3.316

3.  Scattering Signatures of Normal versus Abnormal Livers with Support Vector Machine Classification.

Authors:  Jihye Baek; Sedigheh S Poul; Terri A Swanson; Theresa Tuthill; Kevin J Parker
Journal:  Ultrasound Med Biol       Date:  2020-09-08       Impact factor: 3.694

4.  Clinical Value of Information Entropy Compared with Deep Learning for Ultrasound Grading of Hepatic Steatosis.

Authors:  Jheng-Ru Chen; Yi-Ping Chao; Yu-Wei Tsai; Hsien-Jung Chan; Yung-Liang Wan; Dar-In Tai; Po-Hsiang Tsui
Journal:  Entropy (Basel)       Date:  2020-09-09       Impact factor: 2.524

5.  Hepatic Steatosis Assessment as a New Strategy for the Metabolic and Nutritional Management of Duchenne Muscular Dystrophy.

Authors:  Ya-Chun Tang; Po-Hsiang Tsui; Chiao-Yin Wang; Yin-Hsiu Chien; Hui-Ling Weng; Chung-Yi Yang; Wen-Chin Weng
Journal:  Nutrients       Date:  2022-02-09       Impact factor: 5.717

  5 in total

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