Mri Fat Quantography in Fattly Liver Patients

Abstract Background: Non-Alcoholic Fatty Liver Disease (NAFLD) is a growing health concern globally, necessitating accurate, non-invasive tools for diagnosis and grading. This study aimed to evaluate hepatic fat accumulation using Magnetic Resonance Imaging-Proton Density Fat Fraction (MRI-PDFF) and correlate it with biochemical markers and ultrasonography (USG) findings in patients suspected of fatty liver disease. Methods: This cross-sectional observational study included 80 patients with suspected hepatic steatosis. Each patient underwent detailed clinical evaluation, BMI assessment, liver function tests, lipid profile, and abdominal ultrasonography. MRI-PDFF was performed for quantitative assessment of liver fat content. Data were statistically analyzed using SPSS version 23, and significance was set at p < 0.05. Results: The mean age of patients was 42.65 ± 14.85 years, with a male predominance (61.25%). Overweight individuals (BMI >25) comprised 60% of cases. Grade 2 steatosis was the most common USG finding (73.75%), while MRI revealed Grade 1 fat deposition in 48.75% and Grade 3 in only 6.25%. The mean PDFF increased with steatosis severity: 19.4 ± 7.0% in Grade 2 and 25.4 ± 4.0% in Grade 3 (p ≤ 0.03). Elevated liver enzymes (SGPT 59.82 ± 50.86 IU/L) and dyslipidemia (mean triglycerides 187.68 ± 109.73 mg/dL) were significantly associated with hepatic fat accumulation. MRI findings correlated significantly with USG grades and segmental liver involvement, confirming its diagnostic superiority. Conclusion: MRI-PDFF is a reliable, quantitative, and non-invasive tool for assessing hepatic fat content, offering better accuracy than USG in detecting and grading fatty liver disease. Integration of biochemical and imaging findings enhances the diagnostic yield in NAFLD.

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Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-08-03
DOI
https://doi.org/10.36948/ijfmr.2025.v07i04.52788
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
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article

Mri Fat Quantography in Fattly Liver Patients

Sonica Singhal, Praveen Kumar Gupta, J. S. Gaur, K.M. Masud Rana
International Journal For Multidisciplinary Research
Liver Disease Diagnosis and Treatment
article

Mri Fat Quantography in Fattly Liver Patients

Sonica Singhal, Praveen Kumar Gupta, J. S. Gaur, K.M. Masud Rana
article en

Abstract

Abstract Background: Non-Alcoholic Fatty Liver Disease (NAFLD) is a growing health concern globally, necessitating accurate, non-invasive tools for diagnosis and grading. This study aimed to evaluate hepatic fat accumulation using Magnetic Resonance Imaging-Proton Density Fat Fraction (MRI-PDFF) and correlate it with biochemical markers and ultrasonography (USG) findings in patients suspected of fatty liver disease. Methods: This cross-sectional observational study included 80 patients with suspected hepatic steatosis. Each patient underwent detailed clinical evaluation, BMI assessment, liver function tests, lipid profile, and abdominal ultrasonography. MRI-PDFF was performed for quantitative assessment of liver fat content. Data were statistically analyzed using SPSS version 23, and significance was set at p < 0.05. Results: The mean age of patients was 42.65 ± 14.85 years, with a male predominance (61.25%). Overweight individuals (BMI >25) comprised 60% of cases. Grade 2 steatosis was the most common USG finding (73.75%), while MRI revealed Grade 1 fat deposition in 48.75% and Grade 3 in only 6.25%. The mean PDFF increased with steatosis severity: 19.4 ± 7.0% in Grade 2 and 25.4 ± 4.0% in Grade 3 (p ≤ 0.03). Elevated liver enzymes (SGPT 59.82 ± 50.86 IU/L) and dyslipidemia (mean triglycerides 187.68 ± 109.73 mg/dL) were significantly associated with hepatic fat accumulation. MRI findings correlated significantly with USG grades and segmental liver involvement, confirming its diagnostic superiority. Conclusion: MRI-PDFF is a reliable, quantitative, and non-invasive tool for assessing hepatic fat content, offering better accuracy than USG in detecting and grading fatty liver disease. Integration of biochemical and imaging findings enhances the diagnostic yield in NAFLD.

International Journal For Multidisciplinary ResearchVol. 7(4)
Openalex Percentile: Top 73%
Liver Disease Diagnosis and Treatment
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Mri Fat Quantography in Fattly Liver Patients — Sonica Singhal, Praveen Kumar Gupta, et al. · International Journal For Multidisciplinary Research (2025) | TGRS Research Map | TGRS