Multiparametric Quantitative Ultrasound for Hepatic Steatosis: Comparison with CAP and Robustness Across Breathing States

<b>Background:</b> Practical, quantitative ultrasound-based tools for measuring hepatic steatosis are needed in everyday MASLD care. We evaluated a new multiparametric quantitative ultrasound (QUS) platform that integrates ultrasound-guided fat fraction (UGFF), attenuation coefficient (AC), backscatter coefficient (BSC), and signal-to-noise ratio (SNR), using Controlled Attenuation Parameter (CAP) as the reference and examining the effect of breathing. <b>Methods:</b> In a prospective single-center study, adult patients underwent same-day liver QUS and FibroScan. QUS measurements were performed during breath-hold and during normal breathing. Regions of interest were placed in right-lobe parenchyma 2 cm below the capsule, avoiding vessels. Primary outcomes were correlation with CAP and ROC performance at CAP cutoffs for S1 (≥230 dB/m), S2 (≥275 dB/m), and S3 (≥300 dB/m). <b>Results:</b> QUS was feasible in almost all examinations. UGFF, BSC, and SNR were consistent across breathing conditions, while AC was slightly higher during normal breathing. UGFF showed strong correlation with CAP and high accuracy for detecting steatosis. Across grades, AUCs were around 0.89-0.91, with cutoffs (UGFF ≈ 4% for ≥S1 and ≈11% for ≥S3). <b>Conclusions:</b> Multiparametric QUS provides reliable liver fat quantification that aligns closely with CAP and remains robust in practice whether patients hold their breath or breathe normally. These findings support UGFF as a practical, reliable point-of-care alternative for liver fat quantification that can be embedded in routine ultrasound in real time. Validation against MRI-PDFF or histology and multicenter studies will further define cutoffs and generalizability.

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Publication Details

Journal
Diagnostics
Published
2025-12-08
DOI
https://doi.org/10.3390/diagnostics15243119
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
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article

Multiparametric Quantitative Ultrasound for Hepatic Steatosis: Comparison with CAP and Robustness Across Breathing States

Felix Bende, Alexandru Popa, Renata Fofiu, Felix-Mihai Maralescu et al.
Diagnostics
Liver Disease Diagnosis and Treatment
article

Multiparametric Quantitative Ultrasound for Hepatic Steatosis: Comparison with CAP and Robustness Across Breathing States

Felix Bende, Alexandru Popa, Renata Fofiu, Felix-Mihai Maralescu, Ioan Sporea, Bogdan Miuţescu, Eyad Gadour, Andreea Borlea, Călin Burciu, Claudia Nica, Roxana Șirli, Dana Liana Stoian, Alina Popescu, Mirela Danilă
article en

Abstract

<b>Background:</b> Practical, quantitative ultrasound-based tools for measuring hepatic steatosis are needed in everyday MASLD care. We evaluated a new multiparametric quantitative ultrasound (QUS) platform that integrates ultrasound-guided fat fraction (UGFF), attenuation coefficient (AC), backscatter coefficient (BSC), and signal-to-noise ratio (SNR), using Controlled Attenuation Parameter (CAP) as the reference and examining the effect of breathing. <b>Methods:</b> In a prospective single-center study, adult patients underwent same-day liver QUS and FibroScan. QUS measurements were performed during breath-hold and during normal breathing. Regions of interest were placed in right-lobe parenchyma 2 cm below the capsule, avoiding vessels. Primary outcomes were correlation with CAP and ROC performance at CAP cutoffs for S1 (≥230 dB/m), S2 (≥275 dB/m), and S3 (≥300 dB/m). <b>Results:</b> QUS was feasible in almost all examinations. UGFF, BSC, and SNR were consistent across breathing conditions, while AC was slightly higher during normal breathing. UGFF showed strong correlation with CAP and high accuracy for detecting steatosis. Across grades, AUCs were around 0.89-0.91, with cutoffs (UGFF ≈ 4% for ≥S1 and ≈11% for ≥S3). <b>Conclusions:</b> Multiparametric QUS provides reliable liver fat quantification that aligns closely with CAP and remains robust in practice whether patients hold their breath or breathe normally. These findings support UGFF as a practical, reliable point-of-care alternative for liver fat quantification that can be embedded in routine ultrasound in real time. Validation against MRI-PDFF or histology and multicenter studies will further define cutoffs and generalizability.

DiagnosticsVol. 15(24)
King Fahad Specialist Hospital (SA), Victor Babeș University of Medicine and Pharmacy Timișoara (RO), Vasile Goldis Western University of Arad (RO)
Openalex Percentile: Top 50%
Liver Disease Diagnosis and Treatment
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