Non-invasive assessment of liver fibrosis using acoustic structure quantification: comparison with transient elastography in chronic viral hepatitis

Nam, Tae-Hoon; Park, Beom Jin; Sung, Deuk Jae; Kim, Min Ju; Han, Na; Sim, Ki Choon; Lee, Jean H.; Cho, Sung Bum

doi:10.1007/s00261-015-0597-3

Cited by 7 publications

(3 citation statements)

References 46 publications

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“…ASQ is available on the Aplio 500 ultrasound system (Toshiba Medical Systems, Tokyo, Japan). Clinical applications of ASQ majorly include assessment of liver fibrosis, [36][37][38][39][40][41][42][43][44] hepatic steatosis, 17,37,78 thyroids, [79][80][81] and radiation sialadenitis after radioactive iodine therapy. 82 Nakagami imaging is available on the FDA-cleared AmCAD-US TM software device (AmCad BioMed Corporation, Taipei, Taiwan).…”

Section: Discussionmentioning

confidence: 99%

“…In 2016, Nam et al 41 employed ASQ to assess liver fibrosis in 62 patients with chronic hepatitis B and C (biopsy: F1 = 18, F2 = 27, F3 = 10, and F4 = 7). ASQ was correlated with fibrosis stages (p < 0.001).…”

Section: Asqmentioning

confidence: 99%

“…In this paper, we focused on the development of ultrasound backscatter envelope statistics parametric imaging techniques for assessing liver fibrosis from 1998 to September 2019. 3, We classified these techniques into six categories: constant false alarm rate (CFAR), [26][27][28][29] fiber structure extraction technique (FSET), [30][31][32] acoustic structure quantification (ASQ), [33][34][35][36][37][38][39][40][41][42][43][44] quantile-quantile probability plot (Q-Q plot), [45][46][47][48][49] the multi-Rayleigh model, [50][51][52][53][54][55][56][57][58][59][60][61][62][63] and the Nakagami model. 3,[64][65][66][67][68][69][70] We summarized these techniques and their applications in liver fibrosis...…”

Section: Introductionmentioning

confidence: 99%

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Ultrasound Backscatter Envelope Statistics Parametric Imaging for Liver Fibrosis Characterization: A Review

et al. 2020

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Early detection and diagnosis of liver fibrosis is of critical importance. Currently the gold standard for diagnosing liver fibrosis is biopsy. However, liver biopsy is invasive and associated with sampling errors and can lead to complications such as bleeding. Therefore, developing noninvasive imaging techniques for assessing liver fibrosis is of clinical value. Ultrasound has become the first-line tool for the management of chronic liver diseases. However, the commonly used B-mode ultrasound is qualitative and can cause interobserver or intraobserver difference. Ultrasound backscatter envelope statistics parametric imaging is an important group of quantitative ultrasound techniques that have been applied to characterizing different kinds of tissue. However, a state-of-the-art review of ultrasound backscatter envelope statistics parametric imaging for liver fibrosis characterization has not been conducted. In this paper, we focused on the development of ultrasound backscatter envelope statistics parametric imaging techniques for assessing liver fibrosis from 1998 to September 2019. We classified these techniques into six categories: constant false alarm rate, fiber structure extraction technique, acoustic structure quantification, quantile–quantile probability plot, the multi-Rayleigh model, and the Nakagami model. We presented the theoretical background and algorithms for liver fibrosis assessment by ultrasound backscatter envelope statistics parametric imaging. Then, the specific applications of ultrasound backscatter envelope statistics parametric imaging techniques to liver fibrosis evaluation were reviewed and analyzed. Finally, the pros and cons of each technique were discussed, and the future development was suggested.

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