2015
DOI: 10.1016/j.ultrasmedbio.2015.05.006
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Impact Factors and the Optimal Parameter of Acoustic Structure Quantification in the Assessment of Liver Fibrosis

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Cited by 18 publications
(11 citation statements)
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References 23 publications
(35 reference statements)
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“…Thus, the ASQ-related problems may be encountered when using Nakagami imaging for assessing liver fibrosis. For instance, the lack of a standardized analysis protocol may yield inconsistent results9. A coexisting hepatic steatosis may lead to interferences affecting fibrosis detection3940.…”
Section: Discussionmentioning
confidence: 99%
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“…Thus, the ASQ-related problems may be encountered when using Nakagami imaging for assessing liver fibrosis. For instance, the lack of a standardized analysis protocol may yield inconsistent results9. A coexisting hepatic steatosis may lead to interferences affecting fibrosis detection3940.…”
Section: Discussionmentioning
confidence: 99%
“…The acoustic structure quantification (ASQ) technique has recently gained attention as a tool for characterizing liver parenchyma578910. ASQ is performed on a basic pulse-echo ultrasound grayscale system for characterizing tissues through the statistical analysis of the acquired ultrasound echo signals11.…”
mentioning
confidence: 99%
“…Hence, SWE is now considered a useful tool for staging liver fibrosis noninvasively. Most liver-stiffness measurements reported in the literature were obtained using a breath-hold technique to minimize potential artifacts and uncertainties due to breathing movements during the measurement of the shear-wave velocity [5][6][7]. That context was totally justified in early elastography studies based on strain imaging, because accurate estimation of the displacement field induced by the compressive force required the absence of any respiratory movement between the pre-and post-compressive states.…”
Section: Introductionmentioning
confidence: 99%
“…Besides ultrasound Nakagami imaging, the acoustic structure quantification (ASQ) technique has also recently gained attention as a tool for tissue characterization [ 23 25 ]. In ASQ, a focal disturbance (FD) ratio is defined from the areas under the histograms of two statistical parameters calculated using the average and variance of the echo signal amplitude.…”
Section: Discussionmentioning
confidence: 99%