Literature DB >> 19770327

B-mode ultrasound with algorithm based on statistical analysis of signals: evaluation of liver fibrosis in patients with chronic hepatitis C.

Hidenori Toyoda1, Takashi Kumada, Naohisa Kamiyama, Katsuya Shiraki, Kojiro Takase, Tadashi Yamaguchi, Hiroyuki Hachiya.   

Abstract

OBJECTIVE: The purpose of this study was to evaluate the degree of liver fibrosis in patients with chronic hepatitis C by use of a method in which the homogeneity of the tissue texture of the liver on B-mode ultrasound images is analyzed on the basis of results of a statistical chi-square test of the echo amplitudes. The method includes an algorithm for removing small structures, such as cross sections of the thin vessels, in the background texture to minimize differences in analysis results between users. SUBJECTS AND METHODS: Analysis was performed on images of 148 patients with histologically proven chronic hepatitis C without cirrhosis. The peak value of the C(m)(2) (modified chi-square distribution) histogram was calculated from B-mode ultrasound images, and the resulting value was compared with the histologic fibrosis grade.
RESULTS: The peak C(m)(2) histogram value for grade F3 fibrosis was higher than that for grades F0 and F1 (p < 0.0001) and F2 (p = 0.0003). The value for grade F2 was higher than that for grades F0 and F1 (p = 0.0027). The values gradually increased with an increase in liver fibrosis grade, although no difference was found between grades F0 and F1.
CONCLUSION: The grades of liver fibrosis in patients with chronic hepatitis C are well discriminated with the B-mode ultrasound-based analysis algorithm without discrimination between grades F0 and F1. Findings on conventional ultrasound images may reflect progression of liver fibrosis even in the absence of cirrhosis.

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Year:  2009        PMID: 19770327     DOI: 10.2214/AJR.07.4047

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  23 in total

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3.  Non-invasive determination of hepatic steatosis by acoustic structure quantification from ultrasound echo amplitude.

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Journal:  World J Gastroenterol       Date:  2012-08-07       Impact factor: 5.742

4.  Analysis of fluctuation for pixel-pair distance in co-occurrence matrix applied to ultrasonic images for diagnosis of liver fibrosis.

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5.  Ultrasound evaluation of liver fibrosis: preliminary experience with acoustic structure quantification (ASQ) software.

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6.  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

7.  Comparison of ultrasound colored image views produced by application of statistical analysis of radio-frequency signals and histological findings in patients with chronic hepatitis C.

Authors:  Sanae Nakajima; Kazutoshi Shibuya; Naohisa Kamiyama; Yasukiyo Sumino
Journal:  J Med Ultrason (2001)       Date:  2009-12-11       Impact factor: 1.314

8.  Proposal of a parametric imaging method for quantitative diagnosis of liver fibrosis.

Authors:  Tadashi Yamaguchi; Hiroyuki Hachiya
Journal:  J Med Ultrason (2001)       Date:  2010-07-13       Impact factor: 1.314

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

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Journal:  World J Gastroenterol       Date:  2015-04-28       Impact factor: 5.742

10.  The severity of portal hypertension by a non-invasive assessment: acoustic structure quantification analysis of liver parenchyma.

Authors:  Wen-Bin Cai; Ji-Kai Yin; Qiao-Ying Li; Yi-Lin Yang; Yun-You Duan; Li Zhang
Journal:  BMC Med Imaging       Date:  2022-05-12       Impact factor: 2.795

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