Literature DB >> 18599422

Computer-aided B-mode ultrasound diagnosis of hepatic steatosis: a feasibility study.

Johan M Thijssen1, Alexander Starke, Gert Weijers, Alois Haudum, Kathrin Herzog, Peter Wohlsein, Jürgen Rehage, Chris L De Korte.   

Abstract

Fatty liver (steatosis) occurs in obese patients, among others, and is related to the development of diabetes type-2. Timely diagnosis of steatosis is therefore of great importance. Steatosis is also the most common liver disease of high-yielding dairy cattle during early lactation. This makes it a suitable animal model for studying liver steatosis. Furthermore, reference of derived ultrasound parameters against a "gold standard" is possible in cattle by taking a liver biopsy for the assessment of fat concentration. The authors undertook this pilot study to investigate the hypothesis that quantitative, computer-aided B-mode ultrasound enables the noninvasive detection of hepatic steatosis. Echographic images were obtained postpartum from dairy cows (n = 12) in transcutaneous and direct (intraoperative) applications using a convex array transducer at 4.2 MHz. During surgery, a biopsy was taken from the caudate lobe to assess the liver fat content (fat score). A custom-designed software package for computer-aided ultrasound diagnosis (CAUS) was developed. After linearizing the post-processing look-up-table (LUT), the image gray levels were transferred into echo levels in decibels relative to the mean echo level in a tissue-mimicking phantom. The quantitative comparison of transcutaneous and intraoperative images enabled the correction for the attenuation effect of skin and subcutaneous fat layer on the mean echo level in the liver, as well as for the effects of the beam formation and attenuation of liver tissue on the echo level vs. depth. The residual attenuation coefficient (dB/cm) in fatty liver vs. normal liver was estimated and compensated for. Finally, echo level was estimated relative to the phantom used for calibration, and echo texture was characterized by the mean axial and lateral speckle size within the regions of interest. In the no fat/low fat group (n = 5) skin plus fat layer attenuation was 3.4 dB/cm. A correlation of skin layer thickness vs. fat score of r = 0.48 was found. The mean transcutaneous liver tissue echo level correlated well with fat score: r = 0.80. A residual liver attenuation coefficient of 0.76 dB/cm and 1.19 dB/cm was found in medium and high fat liver, respectively. In transcutaneous images, correlation of residual attenuation coefficient with fat score was r = 0.69. Axial and lateral speckle sizes were on the order of 0.2 and 1.0 cm, respectively, and no correlation was found with liver fat content. Results for transcutaneous and intraoperative images were similar. The authors conclude that this pilot study shows the feasibility of calibrated, computer-aided ultrasound for noninvasively diagnosing, possibly even screening, steatosis of the liver.

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Year:  2008        PMID: 18599422     DOI: 10.1109/TUFFC.2008.797

Source DB:  PubMed          Journal:  IEEE Trans Ultrason Ferroelectr Freq Control        ISSN: 0885-3010            Impact factor:   2.725


  9 in total

1.  Computer-aided diagnosis for contrast-enhanced ultrasound in the liver.

Authors:  Katsutoshi Sugimoto; Junji Shiraishi; Fuminori Moriyasu; Kunio Doi
Journal:  World J Radiol       Date:  2010-06-28

2.  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

3.  Periparturition alterations to liver ultrasonographic echo-texture and fat mobilization parameters in clinically healthy Holstein cows.

Authors:  Saman Rafia; Taghi Taghipour-Bazargani; Farzad Asadi; Alireza Vajhi; Saied Bokaie
Journal:  Vet Res Commun       Date:  2011-09-02       Impact factor: 2.459

4.  Quantitative grading using Grey Relational Analysis on ultrasonographic images of a fatty liver.

Authors:  Semra Içer; Abdulhakim Coşkun; Türkan Ikizceli
Journal:  J Med Syst       Date:  2011-04-28       Impact factor: 4.460

5.  Performance improvement of Fresnel beamforming using dual apodization with cross-correlation.

Authors:  Man M Nguyen; Jesse T Yen
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2013-03       Impact factor: 2.725

6.  Quantitative analysis of ultrasound images for computer-aided diagnosis.

Authors:  Jie Ying Wu; Adam Tuomi; Michael D Beland; Joseph Konrad; David Glidden; David Grand; Derek Merck
Journal:  J Med Imaging (Bellingham)       Date:  2016-01-25

7.  Standardized ultrasound hepatic/renal ratio and hepatic attenuation rate to quantify liver fat content: an improvement method.

Authors:  Ming-Feng Xia; Hong-Mei Yan; Wan-Yuan He; Xiao-Ming Li; Chao-Lun Li; Xiu-Zhong Yao; Ruo-Kun Li; Meng-Su Zeng; Xin Gao
Journal:  Obesity (Silver Spring)       Date:  2011-10-20       Impact factor: 5.002

8.  Multifeature analysis of an ultrasound quantitative diagnostic index for classifying nonalcoholic fatty liver disease.

Authors:  Yin-Yin Liao; Kuen-Cheh Yang; Ming-Ju Lee; Kuo-Chin Huang; Jin-De Chen; Chih-Kuang Yeh
Journal:  Sci Rep       Date:  2016-10-13       Impact factor: 4.379

9.  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

  9 in total

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