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Clinical Trial
. 2025 Jul 7;31(25):105518.
doi: 10.3748/wjg.v31.i25.105518.

Multiparametric ultrasound for non-invasive assessment of liver steatosis, fibrosis, and inflammation in metabolic dysfunction-associated steatotic liver disease

Affiliations
Clinical Trial

Multiparametric ultrasound for non-invasive assessment of liver steatosis, fibrosis, and inflammation in metabolic dysfunction-associated steatotic liver disease

Antonio Liguori et al. World J Gastroenterol. .

Abstract

Background: In metabolic dysfunction-associated steatotic liver disease (MASLD) the identification of patients at high risk of evolution to metabolic dysfunction-associated steatohepatitis (MASH) is challenging.

Aim: To investigate the performance of different ultrasound (US)-based techniques for the non-invasive assessment of liver fibrosis, steatosis, and inflammation in these patients.

Methods: We collected data from consecutive patients who underwent liver biopsy for suspected MASLD between January 2019 and December 2021. Two-dimensional shear-wave elastography, sound speed plane-wave US, attenuation plane-wave US, viscosity plane-wave US (Vi.PLUS) using Aixplorer MACH 30 system, and transient elastography and controlled attenuation parameter from FibroScan were measured before biopsy.

Results: A total of 120 participants were enrolled. Both transient elastography and two-dimensional shear-wave elastography showed good performance for the diagnosis of advanced fibrosis [area under the receiver operating characteristic curve (AUROC) = 0.93 and 0.90, respectively]. The diagnostic performance of Vi.PLUS for the presence of both ballooning grade ≥ 1 and lobular inflammation ≥ 1 was good with an AUROC of 0.72. A score based on Vi.PLUS, aspartate aminotransferase, and sound speed plane-wave US [viscosity-aspartate aminotransferase-speed of sound MASH ultrasound score (VAS-MASH-US score)] had a good accuracy for the diagnosis of MASH (AUROC = 0.75). VAS-MASH-US score > 0.6 showed a good sensitivity for MASH diagnosis (79.0%). According to decision curve analysis, the application of the VAS-MASH-US score would lead to a more accurate selection of patients who are candidates to undergo liver biopsy and would reduce the need for invasive procedures for patients at low risk of MASH.

Conclusion: Multiparametric US allows the non-invasive assessment of steatosis, inflammation, and fibrosis in patients with MASLD. Liver viscosity improved the capability of non-invasively identifying patients with MASH.

Keywords: Liver fibrosis; Liver inflammation; Liver viscosity; Metabolic dysfunction-associated steatotic liver disease; Multiparametric ultrasound.

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Conflict of interest statement

Conflict-of-interest statement: The authors declare that they have no conflicts of interest.

Figures

Figure 1
Figure 1
Histological steatosis grade and distribution of liver stiffness measurements according to fibrosis stage. A: Attenuation plane-wave ultrasound; B: Sound speed plane-wave ultrasound; C: Controlled attenuation parameter; D: Fibroscan score; E: Two-dimensional shear-wave elastography. Boxes represent the interquartile range, and the horizontal line inside the boxes represents the median value of each parameter. CAP: Controlled attenuation parameter; Att.PLUS: Attenuation plane-wave ultrasound; SSp.PLUS: Sound speed plane-wave ultrasound; LSM: Liver stiffness measurement; 2D-SWE: Two-dimensional shear wave elastography.
Figure 2
Figure 2
Distribution of viscosity plane-wave ultrasound values according to histological features. A: According to hepatocyte ballooning grade; B: Lobular inflammation grade; C: Disease activity; D: Liver fibrosis. Boxes represent the interquartile range, and the horizontal line inside the boxes represents the median value of each parameter. Vi.PLUS: Viscosity plane-wave ultrasound.
Figure 3
Figure 3
Performance of non-invasive diagnostic tests (transient elastography, two-dimensional shear wave elastography, viscosity plane-wave ultrasound, nonalcoholic fatty liver disease fibrosis score, Agile3 +, and fibrosis-4) for predicting significant fibrosis and advanced fibrosis. A and B: Receiver operating characteristic curves for the performance of non-invasive diagnostic tests (transient elastography, two-dimensional shear wave elastography, viscosity plane-wave ultrasound, nonalcoholic fatty liver disease fibrosis score, Agile3 +, and fibrosis-4) in the detection of significant fibrosis (A) or advanced fibrosis (B). 2D-SWE: Two-dimensional shear wave elastography; Vi.PLUS: Viscosity plane-wave ultrasound; Fib-4: Fibrosis-4; NFS: Nonalcoholic fatty liver disease fibrosis score; LSM: Liver stiffness measurement.
Figure 4
Figure 4
Calibration plot and decision curve analysis for the assessment of metabolic dysfunction-associated steatohepatitis diagnostic performance and net clinical benefit of viscosity-aspartate aminotransferase-speed of sound metabolic dysfunction-associated steatohepatitis ultrasound score. A: Calibration plot was a visual tool to assess the agreement between predicted risk of metabolic dysfunction-associated steatohepatitis (MASH) according to viscosity-aspartate aminotransferase-speed of sound (VAS) MASH ultrasound (US) score and real prevalence of MASH in different percentiles of population stratified for VAS-MASH-US score. We stratified the population in seven groups (> 15 patients for each group) according to the VAS-MASH-US (green dots). Blue line represents the estimated calibration line for the entire population. Dotted line represents the perfect calibration line; B: Decision curves of the VAS-MASH-US score for the diagnosis of MASH in comparison with default strategies of performing liver biopsy to all patients (“biopsy to all”) or to none (“biopsy to none”). Threshold probability was plotted on the horizontal axis and net benefit on the vertical axis, illustrating the trade-offs between benefit (true positives) and harm (false positives) as the threshold probability (preference) was varied across a range of reasonable threshold probabilities. Net benefit on the vertical axis was expressed in units of true positives per person. For instance, a difference in net benefit of 0.1 at a given threshold probability between using the VAS-MASH-US score to select patients for liver biopsy or perform liver biopsy to all patients could be interpreted as using the VAS-MASH-US score to select patients for liver biopsy instead of perform liver biopsy to all patients increases the number of MASH detected by 10 per 100 patients, without changing the number of unnecessary biopsies. VAS-MASH-US: Viscosity-aspartate aminotransferase-speed of sound metabolic dysfunction-associated steatohepatitis ultrasound.

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