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Quantitative liver fat assessment in magnetic resonance imaging: moving beyond binary reporting toward measurable radiology

Cilt: 51 Sayı: 3 30 Eylül 2026
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Quantitative liver fat assessment in magnetic resonance imaging: moving beyond binary reporting toward measurable radiology

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To the Editor, The paradigm of modern radiology is rapidly shifting from qualitative interpretation toward quantitative, reproducible, and clinically actionable metrics. This transformation is particularly evident in the evaluation of hepatic steatosis, where imaging plays a central role in diagnosis and longitudinal disease monitoring1,2. In routine clinical practice, ultrasonography remains widely used for detecting hepatic steatosis. However, its diagnostic output is inherently limited to semi-quantitative grading systems, which are subjective and operator-dependent3. In contrast, magnetic resonance imaging (MRI) enables accurate and reproducible quantification of liver fat content as a continuous variable, overcoming the limitations of qualitative grading1,2,4. Among MRI techniques, proton density fat fraction (PDFF) is widely accepted as a validated, noninvasive biomarker of hepatic steatosis, with strong correlation to histopathology1,4,5. Typically, this is obtained using dedicated quantitative sequences such as multiecho chemical shift–encoded imaging (commonly referred to as FATFRAC)4,5. However, dual-echo (in-phase and out-of-phase) gradient echo imaging, which is already included in most routine abdominal MRI protocols, also allows estimation of hepatic fat fraction. Prior studies have demonstrated that signal intensity-based calculations derived from dual-echo imaging show good agreement with more advanced quantitative techniques, particularly in mild-to-moderate steatosis ranges6,7. This makes dual-echo imaging a practical and accessible alternative for quantitative assessment in daily clinical practice, without additional scan time or specialized software. The importance of quantitative liver fat assessment is further amplified by the increasing prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) and related metabolic disorders. These conditions require objective and reproducible biomarkers for monitoring disease progression and response to therapy8,9. MRI-based fat quantification fulfills this need and has been increasingly utilized in both clinical practice and research settings5,9. Furthermore, the emergence of effective weight-loss therapies, particularly GLP-1 receptor agonists such as semaglutide, has created a growing demand for noninvasive tools to monitor treatment response. Quantitative MRI allows objective assessment of hepatic fat reduction over time, which is not achievable with conventional qualitative imaging9. In addition, expressing liver fat as a numerical value rather than a binary descriptor enhances patient understanding and motivation, especially during dietary or pharmacologic interventions. Despite these advantages, many MRI reports still describe hepatic steatosis using qualitative or binary terminology. In our clinical practice, we have adopted a quantitative reporting approach, providing liver fat percentage values in patients with metabolic disorders. We have observed that this approach improves treatment monitoring, interdisciplinary communication, and patient engagement, particularly in longitudinal follow-up. Simple calculation tools based on dual-echo MRI are also available (e.g., hepatic fat MRI calculator) and may facilitate the integration of quantitative assessment into routine workflow without requiring advanced infrastructure. In conclusion, we believe that quantitative liver fat assessment should become a standard component of abdominal MRI reporting in every case where hepatic steatosis is suspected or clinically relevant. Dual-echo MRI offers a feasible and efficient pathway for this transition in routine clinical practice. Embracing measurable radiology will enhance not only diagnostic precision but also the role of radiology in treatment monitoring and patient-centered care.

Anahtar Kelimeler

liver, fat, measure, metabolic, MRI

Kaynakça

  1. Reeder SB, Hu HH, Sirlin CB. Proton density fat-fraction: a standardized MR-based biomarker of tissue fat concentration. J Magn Reson Imaging. 2012;36:1011-4.
  2. Yokoo T, Serai SD, Pirasteh A, Bashir MR, Hamilton G, Hernando D et al. Linearity, bias, and precision of hepatic proton density fat fraction measurements by using MR imaging: a meta-analysis. Radiology. 2018;286:486-98.
  3. Lee SS, Park SH. Radiologic evaluation of nonalcoholic fatty liver disease. World J Gastroenterol. 2014;20:7392-402.
  4. Tang A, Desai A, Hamilton G, Wolfson T, Gamst A, Lam J et al. Accuracy of MR imaging-estimated proton density fat fraction for classification of dichotomized histologic steatosis grades in nonalcoholic fatty liver disease. Radiology. 2015;274:416-25.
  5. Middleton MS, Heba ER, Hooker CA, Bashir MR, Fowler KJ, Sandrasegaran K et al. Agreement between magnetic resonance imaging proton density fat fraction measurements and pathologist-assigned steatosis grades of liver biopsies from adults with nonalcoholic steatohepatitis. Gastroenterology. 2017;153:753-61.
  6. Fishbein MH, Gardner KG, Potter CJ, Schmalbrock P, Smith MA. Introduction of fast MR imaging in the assessment of hepatic steatosis. Magn Reson Imaging. 1997;15:287-93.
  7. Ma X, Holalkere NS, Kambadakone RA, Mino-Kenudson M, Hahn PF, Sahani DV. Imaging-based quantification of hepatic fat: methods and clinical applications. Radiographics. 2009;29:1253-77.
  8. Szczepaniak LS, Nurenberg P, Leonard D, Browning JD, Reingold JS, Grundy S et al. Magnetic resonance spectroscopy to measure hepatic triglyceride content: prevalence of hepatic steatosis in the general population. Am J Physiol Endocrinol Metab. 2005;288.
  9. Noureddin M, Lam J, Peterson MR, Middleton M, Hamilton G, Le TA et al. Utility of magnetic resonance imaging versus histology for quantifying changes in liver fat in nonalcoholic fatty liver disease trials. Hepatology. 2013;58:1930-40.

Kaynak Göster

APA
Güzel, H. E. (2026). Quantitative liver fat assessment in magnetic resonance imaging: moving beyond binary reporting toward measurable radiology. Cukurova Medical Journal, 51(3), 1041-1042. https://doi.org/10.17826/cumj.1917064
AMA
1.Güzel HE. Quantitative liver fat assessment in magnetic resonance imaging: moving beyond binary reporting toward measurable radiology. Cukurova Med J. 2026;51(3):1041-1042. doi:10.17826/cumj.1917064
Chicago
Güzel, Hamza Eren. 2026. “Quantitative liver fat assessment in magnetic resonance imaging: moving beyond binary reporting toward measurable radiology”. Cukurova Medical Journal 51 (3): 1041-42. https://doi.org/10.17826/cumj.1917064.
EndNote
Güzel HE (01 Eylül 2026) Quantitative liver fat assessment in magnetic resonance imaging: moving beyond binary reporting toward measurable radiology. Cukurova Medical Journal 51 3 1041–1042.
IEEE
[1]H. E. Güzel, “Quantitative liver fat assessment in magnetic resonance imaging: moving beyond binary reporting toward measurable radiology”, Cukurova Med J, c. 51, sy 3, ss. 1041–1042, Eyl. 2026, doi: 10.17826/cumj.1917064.
ISNAD
Güzel, Hamza Eren. “Quantitative liver fat assessment in magnetic resonance imaging: moving beyond binary reporting toward measurable radiology”. Cukurova Medical Journal 51/3 (01 Eylül 2026): 1041-1042. https://doi.org/10.17826/cumj.1917064.
JAMA
1.Güzel HE. Quantitative liver fat assessment in magnetic resonance imaging: moving beyond binary reporting toward measurable radiology. Cukurova Med J. 2026;51:1041–1042.
MLA
Güzel, Hamza Eren. “Quantitative liver fat assessment in magnetic resonance imaging: moving beyond binary reporting toward measurable radiology”. Cukurova Medical Journal, c. 51, sy 3, Eylül 2026, ss. 1041-2, doi:10.17826/cumj.1917064.
Vancouver
1.Hamza Eren Güzel. Quantitative liver fat assessment in magnetic resonance imaging: moving beyond binary reporting toward measurable radiology. Cukurova Med J. 01 Eylül 2026;51(3):1041-2. doi:10.17826/cumj.1917064