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Article

Fraction Conversion Models Based on Ultrasound Attenuation Coefficient for Assessing Liver Steatosis

1
Department of Medical Ultrasound, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
2
Department of Radiology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
3
Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
4
Department of Medical Ultrasound, Guangdong Provincial Key Laboratory of Diabetology, Guangzhou Municipal Key Laboratory of Mechanistic and Translational Obesity Research, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work and are considered co-first authors.
These authors contributed equally to this work and are considered co-corresponding authors.
Diagnostics 2026, 16(7), 1086; https://doi.org/10.3390/diagnostics16071086
Submission received: 11 February 2026 / Revised: 26 March 2026 / Accepted: 31 March 2026 / Published: 3 April 2026
(This article belongs to the Section Medical Imaging and Theranostics)

Abstract

Objectives: We aimed to develop models capable of converting the attenuation coefficient (AC) into a percentage-like index in patients with suspected metabolic dysfunction-associated steatotic liver disease (MASLD). Methods: In this retrospective, cross-sectional study, we consecutively enrolled participants with suspected MASLD from the Weight Loss Medical Centre who had undergone both ultrasound examinations that yielded AC results and magnetic resonance imaging (MRI) scans including proton density fat fraction (PDFF). The first model, defined as the PDFF conversion fraction (PCF), used the MRI-PDFF results as the reference standard. The other model, defined as the attenuation level fraction (ALF), converted AC values into percentages based on the range of AC values from 0.5 to 1.0 dB/cm/MHz. Area under the receiver operating characteristic curve (AUC) analysis was used to evaluate the diagnostic performance of the two models. Results: Among the 199 participants (mean age, 38.12 ± 9.56 years; 110 male), the PDFF values differed significantly among the different liver segments (p < 0.05). The PDFF values of the left liver and right liver were 12.6% and 16.1%, respectively. There was a significant difference between them (p < 0.05). The AUCs of the AC, PCF, and ALF were 0.92, 0.93, and 0.87, respectively, for detecting mild steatosis (≥ S1), moderate steatosis (≥S2), and severe steatosis (≥S3) when PDFF values ≥ 5%, ≥15%, and ≥25% were used as the reference standard, respectively. Conclusions: The two fraction conversion models (PCF and ALF) yielded good and identical diagnostic accuracies in grading liver steatosis. Considering the heterogeneous pattern of liver steatosis, the ALF was a more objective parameter.
Keywords: metabolic dysfunction-associated steatotic liver disease; steatosis; magnetic resonance imaging; proton density fat fraction; attenuation coefficient metabolic dysfunction-associated steatotic liver disease; steatosis; magnetic resonance imaging; proton density fat fraction; attenuation coefficient

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MDPI and ACS Style

Zhang, Y.; Jiang, T.; Xu, C.; He, J.; Zhang, H.; Chen, T.; Zeng, J. Fraction Conversion Models Based on Ultrasound Attenuation Coefficient for Assessing Liver Steatosis. Diagnostics 2026, 16, 1086. https://doi.org/10.3390/diagnostics16071086

AMA Style

Zhang Y, Jiang T, Xu C, He J, Zhang H, Chen T, Zeng J. Fraction Conversion Models Based on Ultrasound Attenuation Coefficient for Assessing Liver Steatosis. Diagnostics. 2026; 16(7):1086. https://doi.org/10.3390/diagnostics16071086

Chicago/Turabian Style

Zhang, Yin, Ting Jiang, Chuli Xu, Jiajun He, Hongjun Zhang, Tufeng Chen, and Jie Zeng. 2026. "Fraction Conversion Models Based on Ultrasound Attenuation Coefficient for Assessing Liver Steatosis" Diagnostics 16, no. 7: 1086. https://doi.org/10.3390/diagnostics16071086

APA Style

Zhang, Y., Jiang, T., Xu, C., He, J., Zhang, H., Chen, T., & Zeng, J. (2026). Fraction Conversion Models Based on Ultrasound Attenuation Coefficient for Assessing Liver Steatosis. Diagnostics, 16(7), 1086. https://doi.org/10.3390/diagnostics16071086

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