Literature DB >> 25308947

Acoustic structure quantification ultrasound software proves imprecise in assessing liver fibrosis or cirrhosis in parenchymal liver diseases.

Christiane Krämer1, Natalie Jaspers2, Dirk Nierhoff2, Kathrin Kuhr3, Andrea Bowe2, Tobias Goeser2, Guido Michels4.   

Abstract

The present study was conducted to assess the diagnostic accuracy of Acoustic Structure Quantification (ASQ) ultrasound software in liver biopsy of patients with liver fibrosis and cirrhosis. Eighty patients (47 ± 14 y, 41 men) with chronic liver diseases underwent ultrasound examination of the liver and liver biopsy. In addition to the standard-care ultrasound examination, three valid gray-scale images were obtained for each patient. With the ASQ software, the average and peak values (Cm(2)) of each ultrasound gray-scale image were calculated and then compared with histologic fibrosis staging (F0-F4). No correlation was found between ASQ values and histologic fibrosis stage (p > 0.05). Areas under the curve for the diagnosis of no or mild fibrosis (F0 and F1), moderate/severe fibrosis (F2 and F3) and cirrhosis (F4) using average/peak Cm(2) values of small regions of interest were 0.46/0.43, 0.62/0.68 and 0.38/0.33. Determination of liver fibrosis with ASQ in its present form as an alternative approach to liver biopsy is too imprecise.
Copyright © 2014 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acoustic structure quantification; Liver disease; Liver fibrosis; Ultrasound

Mesh:

Year:  2014        PMID: 25308947     DOI: 10.1016/j.ultrasmedbio.2014.07.020

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


  8 in total

1.  A Computer-Aided Diagnosis Scheme For Detection Of Fatty Liver In Vivo Based On Ultrasound Kurtosis Imaging.

Authors:  Hsiang-Yang Ma; Zhuhuang Zhou; Shuicai Wu; Yung-Liang Wan; Po-Hsiang Tsui
Journal:  J Med Syst       Date:  2015-11-12       Impact factor: 4.460

2.  Assessment of liver fibrosis in chronic hepatitis B using acoustic structure quantification: quantitative morphological ultrasound.

Authors:  Yang Huang; Zhu Wang; Bing Liao; Jin-Yu Liang; Lu-Yao Zhou; Fen Wang; Wei Li; Jin-Ya Liu; Xiao-Yan Xie; Ming-De Lu; Guang-Jian Liu; Wei Wang
Journal:  Eur Radiol       Date:  2015-10-20       Impact factor: 5.315

3.  Estimating steatosis and fibrosis: Comparison of acoustic structure quantification with established techniques.

Authors:  Thomas Karlas; Joachim Berger; Nikita Garnov; Franziska Lindner; Harald Busse; Nicolas Linder; Alexander Schaudinn; Bettina Relke; Rima Chakaroun; Michael Tröltzsch; Johannes Wiegand; Volker Keim
Journal:  World J Gastroenterol       Date:  2015-04-28       Impact factor: 5.742

Review 4.  Quantitative Evaluation of Hepatic Steatosis Using Advanced Imaging Techniques: Focusing on New Quantitative Ultrasound Techniques.

Authors:  Junghoan Park; Jeong Min Lee; Gunwoo Lee; Sun Kyung Jeon; Ijin Joo
Journal:  Korean J Radiol       Date:  2022-01       Impact factor: 3.500

5.  Acoustic structure quantification by using ultrasound Nakagami imaging for assessing liver fibrosis.

Authors:  Po-Hsiang Tsui; Ming-Chih Ho; Dar-In Tai; Ying-Hsiu Lin; Chiao-Yin Wang; Hsiang-Yang Ma
Journal:  Sci Rep       Date:  2016-09-08       Impact factor: 4.379

6.  Comparison of Acoustic Structure Quantification (ASQ), shearwave elastography and histology in patients with diffuse hepatopathies.

Authors:  Jan Keller; Tanja Eva-Maria Kaltenbach; Mark Martin Haenle; Suemeyra Oeztuerk; Tilmann Graeter; Richard Andrew Mason; Thomas Seufferlein; Wolfgang Kratzer
Journal:  BMC Med Imaging       Date:  2015-12-03       Impact factor: 1.930

7.  Effect of ultrasound frequency on the Nakagami statistics of human liver tissues.

Authors:  Po-Hsiang Tsui; Zhuhuang Zhou; Ying-Hsiu Lin; Chieh-Ming Hung; Shih-Jou Chung; Yung-Liang Wan
Journal:  PLoS One       Date:  2017-08-01       Impact factor: 3.240

8.  Evaluation of hepatic fibrosis by ultrasonic acoustic structure quantification.

Authors:  Lei Cheng; Yongan Chen; Rui Xiao; Yan Pan; Jia Guo
Journal:  Medicine (Baltimore)       Date:  2019-08       Impact factor: 1.817

  8 in total

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