Literature DB >> 26055966

Impact factors and the optimal parameter of acoustic structure quantification in the assessment of liver fibrosis.

Yang Huang1, Guang-Jian Liu1, Bing Liao2, Guang-Liang Huang1, Jin-Yu Liang1, Lu-Yao Zhou1, Fen Wang2, Wei Li1, Xiao-Yan Xie1, Wei Wang3, Ming-De Lu4.   

Abstract

The aims of the present study are to assess the impact factors on acoustic structure quantification (ASQ) ultrasound and find the optimal parameter for the assessment of liver fibrosis. Twenty healthy volunteers underwent ASQ examinations to evaluate impact factors in ASQ image acquisition and analysis. An additional 113 patients with liver diseases underwent standardized ASQ examinations, and the results were compared with histologic staging of liver fibrosis. We found that the right liver displayed lower values of ASQ parameters than the left (p = 0.000-0.021). Receive gain experienced no significant impact except gain 70 (p = 0.193-1.000). With regard to different diameter of involved vessels in regions of interest, the group ≤2.0 mm differed significantly with the group 2.1-5.0 mm (p = 0.000-0.033) and the group >5.0 mm (p = 0.000-0.062). However, the region of interest size (p = 0.438-1.000) and depth (p = 0.072-0.764) had no statistical impact. Good intra- and inter-operator reproducibilities were found in both image acquisitions and offline image analyses. In the liver fibrosis study, the focal disturbance ratio had the highest correlation with histologic fibrosis stage (r = 0.67, p < 0.001). In conclusion, the testing position, receive gain and involved vessels were the main factors in ASQ examinations and focal disturbance ratio was the optimal parameter in the assessment of liver fibrosis.
Copyright © 2015 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acoustic structure quantification; Elastography; Liver fibrosis; Morphology; Ultrasound

Mesh:

Year:  2015        PMID: 26055966     DOI: 10.1016/j.ultrasmedbio.2015.05.006

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


  6 in total

1.  Evaluation of muscular changes by ultrasound Nakagami imaging in Duchenne muscular dystrophy.

Authors:  Wen-Chin Weng; Po-Hsiang Tsui; Chia-Wei Lin; Chun-Hao Lu; Chun-Yen Lin; Jeng-Yi Shieh; Frank Leigh Lu; Ting-Wei Ee; Kuan-Wen Wu; Wang-Tso Lee
Journal:  Sci Rep       Date:  2017-06-30       Impact factor: 4.379

2.  Accurate measurements of liver stiffness using shear wave elastography in children and young adults and the role of the stability index.

Authors:  Eun Kyoung Hong; Young Hun Choi; Jung-Eun Cheon; Woo Sun Kim; In-One Kim; Sun Young Kang
Journal:  Ultrasonography       Date:  2017-08-19

3.  Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis.

Authors:  Wei Li; Yang Huang; Bo-Wen Zhuang; Guang-Jian Liu; Hang-Tong Hu; Xin Li; Jin-Yu Liang; Zhu Wang; Xiao-Wen Huang; Chu-Qing Zhang; Si-Min Ruan; Xiao-Yan Xie; Ming Kuang; Ming-De Lu; Li-Da Chen; Wei Wang
Journal:  Eur Radiol       Date:  2018-09-03       Impact factor: 5.315

4.  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

5.  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

6.  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

  6 in total

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