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

Nakajima, Saeko; Shibuya, Kazutoshi; Kamiyama, Naohisa; Sumino, Yasukiyo

doi:10.1007/s10396-009-0248-9

Cited by 10 publications

(3 citation statements)

References 14 publications

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“…33,37,38,40,70 Other studies directly eliminated the impact of hepatic steatosis on liver fibrosis evaluation. 34,44 However, the effects of hepatic steatosis on liver fibrosis assessment have not been reported and need to be considered in future work. The liver can be modeled as a collection of acoustic scatterers that interact with ultrasound waves, containing both diffuse scatterers (hepatocytes) and coherent scatterers (portal triads or lobules).…”

Section: Discussionmentioning

confidence: 99%

“…In 2010, Nakajima et al 34 applied ASQ to evaluate liver fibrosis in 65 patients with chronic hepatitis C and without hepatic steatosis (biopsy: F1 = 15, F2 = 16, F3 = 12, and F4 = 22). The results showed that ASQ is feasible for evaluating liver fibrosis stages (F1-F3) and nodule sizes in liver cirrhosis (F4).…”

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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