Key result
In a simulation dataset mimicking MASH, the coexistence of fat and fibrosis caused the statistical distribution of the envelope signal to become unclear even at 30 MHz ultrasound frequency.
Why the study?
Due to the structural complexity of biological tissues, the relationship between quantitative ultrasound parameters in the multi-Rayleigh model and actual tissue composition remains unclear.
Answers are grounded in this paper and cite their sources.
In a simulation of MASH liver, the coexistence of fat and fibrosis interferes with tissue differentiation using quantitative ultrasound envelope statistics even at high clinical frequencies (30 MHz).
Amplitude envelope statistics, a method within quantitative ultrasound (QUS), has gained attention as a noninvasive technique for estimating the statistical properties of scatterers in biological tissues. Among these techniques, the multi-Rayleigh (MRA) model—which assumes multiple statistical distributions corresponding to different scattering intensities and combines them to represent complex tissue structures—has been reported as useful for the quantitative evaluation of hepatic fat in recent clinical studies. However, due to the structural complexity of biological tissues, there are still some unclear points regarding the relationship between QUS parameters in the MRA model and actual tissue composition. In this study, we investigated the influence of microstructural characteristics on ultrasound response properties in a simulation dataset mimicking metabolic dysfunction-associated steatohepatitis (MASH). The relationship between the structure of fatty and fibrous tissue in the liver and the wavelength of ultrasound (10–30 MHz) used for observation was examined. The results showed that when fat and fibrosis coexist, even at 30 MHz, which is the highest frequency used in clinical applications, the statistical distribution of the envelope signal becomes unclear, suggesting that structural complexity may interfere with tissue differentiation in the envelope region.
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Shirai et al. (2025) studied Metabolic dysfunction-associated steatohepatitis (MASH). Quantitative ultrasound was evaluated on Influence of microstructural characteristics on ultrasound response properties. In a simulation dataset mimicking MASH, the coexistence of fat and fibrosis caused the statistical distribution of the envelope signal to become unclear even at 30 MHz ultrasound frequency.
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