Journals / Journal of Medicine and Palliative Care / 2026 / Volume: 7 Issue: 2

Exploring the correlation between the fibrosis-4 score and quantitative ultrasonographic liver fat measurements in metabolic dysfunction-associated steatotic liver disease

Atiye Cenay Karabörk Kılıç(Gazi University Faculty of Medicine, Department of Radiology,)0000-0002-9980-8397
Halit Nahit Şendur(Gazi University Faculty of Medicine, Department of Radiology)0000-0003-1690-2538
Emre Aşiret(Gazi University School of Medicine, Department of Radiology)0009-0000-7558-6200
Cansu Özbaş(GAZI UNIVERSITY, SCHOOL OF MEDICINE, DEPARTMENT OF INTERNAL MEDICINE, DEPARTMENT OF PUBLIC HEALTH)0000-0001-7349-8063
Aylin Billur Şendur(Private Radiology Clinic)0000-0001-9117-4820
Mahinur Cerit(Gazi University Faculty of Medicine, Department of Radiology)0000-0003-2878-6052
Suna Oktar(Gazi University Faculty of Medicine, Department of Radiology)0000-0003-0112-9992
Pages
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Publication Date
2026-03-27
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Conclusion: Quantitative ultrasound-derived liver fat parameters show weak associations with FIB-4-based fibrosis risk in MASLD, supporting the dissociation between hepatic steatosis and FIB-4-based fibrosis risk and indicating the limited utility of ultrasound fat measurements for fibrosis risk stratification.

📌 3 Key Takeaways

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Objective & Hypothesis:Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common chronic liver disease worldwide.
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Key Findings & Data:The fibrosis-4 (FIB-4) score is widely used as a first-line noninvasive tool for fibrosis risk stratification, with a threshold of 1.3 recommended in clinical practice.
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Conclusion & Impact:Conclusion: Quantitative ultrasound-derived liver fat parameters show weak associations with FIB-4-based fibrosis risk in MASLD, supporting the dissociation between hepatic steatosis and FIB-4-based fibrosis risk and indicating the limited utility of ultrasound fat measurements for fibrosis risk stratification.
🔬Design:Research Article
📍Scope:2021 Verileri
⚙️Variables:Metabolic dysfunction-associated steatotic liver disease · liver fibrosis · fibrosis-4 score

Abstract

Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common chronic liver disease worldwide. While hepatic steatosis defines the disease, liver fibrosis is the main determinant of prognosis. The fibrosis-4 (FIB-4) score is widely used as a first-line noninvasive tool for fibrosis risk stratification, with a threshold of 1.3 recommended in clinical practice. Quantitative ultrasound techniques, including tissue attenuation imaging (TAI) and tissue scatter imaging (TSI), enable objective assessment of hepatic fat content. This study aimed to investigate the relationship between FIB-4 score and quantitative ultrasound-derived liver fat parameters in patients with MASLD. Methods: This retrospective, single-center study included 196 patients diagnosed with MASLD who underwent quantitative ultrasound liver fat assessment between January 2021 and April 2023. TAI and TSI measurements were obtained under standardized breath-hold conditions with a 1-7 MHz convex transducer. FIB-4 scores were calculated using routine laboratory parameters, and patients were categorized as FIB-4 <1.3 or ≥1.3. Associations between FIB-4 and quantitative ultrasound parameters were evaluated using Spearman correlation analysis. Receiver operating characteristic (ROC) curve analysis was performed to assess the ability of TAI and TSI to discriminate patients with FIB-4 ≥1.3. Results: The median FIB-4 score was 0.91, and 41 patients (20.9%) had an FIB-4 score ≥1.3. TAI values were significantly lower in patients with FIB-4 ≥1.3 (p=0.002), whereas TSI values did not differ significantly between groups. FIB-4 score showed weak inverse correlations with TAI, TSI, and body-mass index. ROC analysis demonstrated limited discriminative performance for TAI (AUC=0.660), while TSI showed no significant diagnostic value. Conclusion: Quantitative ultrasound-derived liver fat parameters show weak associations with FIB-4-based fibrosis risk in MASLD, supporting the dissociation between hepatic steatosis and FIB-4-based fibrosis risk and indicating the limited utility of ultrasound fat measurements for fibrosis risk stratification.

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Cite This Article

Kılıç, A. C. K., Şendur, H. N., Aşiret, E., Özbaş, C., Şendur, A. B., Cerit, M., Oktar, S. (2026). Exploring the correlation between the fibrosis-4 score and quantitative ultrasonographic liver fat measurements in metabolic dysfunction-associated steatotic liver disease. Journal of Medicine and Palliative Care, Volume: 7 Issue: 2. https://doi.org/10.47582/jompac.1871085

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References (14)

  1. Younossi ZM, Razavi H, Sherman M, et al. Addressing the high and rising global burden of metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH): from the growing prevalence to Payors' perspective. Aliment Pharmacol Ther. 2025;61(9):1467-1478. doi:10.1111/apt.70020
  2. Tilg H, Petta S, Stefan N, Targher G. Metabolic dysfunction–associated steatotic liver disease in adults. Jama. 2026;335(2):163-174. doi:10.1001/jama.2025.19615
  3. Sun W, Cui H, Li N, et al. Comparison of FIB-4 index, NAFLD fibrosis score and BARD score for prediction of advanced fibrosis in adult patients with non-alcoholic fatty liver disease: A meta-analysis study. Hepatol Res. 2016;46(9):862-870. doi:10.1111/hepr.12647
  4. Henry L, Eberly KE, Shah D, Kumar A, Younossi ZM. Noninvasive tests used in risk stratification of patients with nonalcoholic fatty liver disease. Clin Liver Dis. 2023;27(2):373-395. doi:10.1016/j.cld.2023.01.022
  5. Mozes FE, Lee JA, Vali Y, et al. Performance of non-invasive tests and histology for the prediction of clinical outcomes in patients with non-alcoholic fatty liver disease: an individual participant data meta-analysis. Lancet Gastroenterol Hepatol. 2023;8(8):704-713. doi:10.1016/S2468-1253(23)00141-3
  6. Jeon SK, Lee JM, Joo I. Clinical feasibility of quantitative ultrasound imaging for suspected hepatic steatosis: intra- and inter-examiner reliability and correlation with controlled attenuation parameter. Ultrasound Med Biol. 2021;47(3):438-445. doi:10.1016/j.ultrasmedbio. 2020.11.009
  7. Tada T, Kumada T, Toyoda H, et al. Liver stiffness does not affect ultrasound-guided attenuation coefficient measurement in the evaluation of hepatic steatosis. Hepatol Res. 2020;50(2):190-198. doi:10. 1111/hepr.13442
  8. Kumada T, Toyoda H, Ogawa S, et al. Advanced fibrosis leads to overestimation of steatosis with quantitative ultrasound in individuals without hepatic steatosis. Ultrasonography. 2024;43(2):121-131. doi:10. 14366/usg.23194
  9. McPherson S, Hardy T, Dufour JF, et al. Age as a confounding factor for the accurate non-invasive diagnosis of advanced NAFLD fibrosis. Am J Gastroenterol. 2017;112(5):740-751. doi:10.1038/ajg.2016.453
  10. Vieira Barbosa J, Milligan S, Frick A, et al. Fibrosis-4 index as an independent predictor of mortality and liver-related outcomes in NAFLD. Hepatol Commun. 2022;6(4):765-779. doi:10.1002/hep4.1841
  11. Ferraioli G, Barr RG, Berzigotti A, et al. WFUMB guideline/guidance on liver multiparametric ultrasound: part 1. Update to 2018 Guidelines on Liver Ultrasound Elastography. Ultrasound Med Biol. 2024;50(8):1071-1087. doi:10.1016/j.ultrasmedbio.2024.03.013
  12. Sendur HN, Cerit MN, Fatullayeva T, Erdal ZS, Karabork Kilic AC, Ozhan Oktar S. Do ultrasound based quantitative hepatic fat content measurements have differences between respiratory phases? Acad Radiol. 2023;30(9):1832-1837. doi:10.1016/j.acra.2022.12.021
  13. Liu WY, Huang S, Ji H, et al. From "burnt-out" to "burning-out": capturing liver fat loss in patients with advanced metabolic dysfunction-associated steatotic liver disease from a dynamic perspective. Gastroenterology. 2025;169(2):326-336. doi:10.1053/j.gastro.2025.02.034
  14. Graupera I, Thiele M, Serra-Burriel M, et al. Low accuracy of FIB-4 and NAFLD fibrosis scores for screening for liver fibrosis in the population. Clin Gastroenterol Hepatol. 2022;20(11):2567-2576e6. doi:10.1016/j.cgh. 2021.12.034