Diagnostic Role of Ultrasound Abdominal Fat Index in Detecting Obesity, Hepatic Steatosis, and Metabolic Syndrome Risk

Abstract Background: Intra-abdominal obesity contributes significantly to metabolic dysfunction and hepatic steatosis. Abdominal Fat Index (AFI), obtained from ultrasonographic measurements of preperitoneal and subcutaneous fat, has emerged as a simple, non-invasive marker of metabolic risk. Purpose: To evaluate the diagnostic role of AFI in detecting obesity, fatty liver, and associated metabolic comorbidities. Material and methods: This cross-sectional study included 1634 adults undergoing abdominal ultrasonography. Anthropometric parameters (BMI, waist and hip circumference, waist-to-hip ratio) and metabolic comorbidities were recorded. Preperitoneal and subcutaneous fat thickness were measured to calculate AFI. Fatty liver was graded and statistical analysis were performed. Results: Of 1634 participants, 67.0% were overweight and 33.0% obese. Fatty liver was detected in 83.7% (Grade (1): 45.7%, Grade (2): 32.4%, Grade (3): 5.6%). Hypertension 39.2% and diabetes 24.9% were most common. AFI increased significantly with fatty liver severity and was higher in obese vs overweight patients 1.03 vs 0.98; p < 0.001. AFI correlated positively with BMI, waist circumference, and waist-to-hip ratio. Regression analysis identified waist-to-hip ratio, waist circumference, and BMI as independent predictors of AFI. ROC analysis demonstrated fair discrimination for fatty liver (AUC 0.72, 95% CI 0.687-0.752, p < 0.001, with diagnostic accuracy of 84%. Conclusion: Ultrasound-derived AFI is a reliable, non-invasive marker associated with obesity, fatty liver grading, and metabolic comorbidities, and may serve as a useful screening tool in clinical practice.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-30
DOI
https://doi.org/10.5281/zenodo.18170572
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
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article

Diagnostic Role of Ultrasound Abdominal Fat Index in Detecting Obesity, Hepatic Steatosis, and Metabolic Syndrome Risk

International Journal of Medical Science and Innovative Research (IJMSIR)
Zenodo (CERN European Organization for Nuclear Research)
Liver Disease Diagnosis and Treatment
article

Diagnostic Role of Ultrasound Abdominal Fat Index in Detecting Obesity, Hepatic Steatosis, and Metabolic Syndrome Risk

International Journal of Medical Science and Innovative Research (IJMSIR)
article en

Abstract

Abstract Background: Intra-abdominal obesity contributes significantly to metabolic dysfunction and hepatic steatosis. Abdominal Fat Index (AFI), obtained from ultrasonographic measurements of preperitoneal and subcutaneous fat, has emerged as a simple, non-invasive marker of metabolic risk. Purpose: To evaluate the diagnostic role of AFI in detecting obesity, fatty liver, and associated metabolic comorbidities. Material and methods: This cross-sectional study included 1634 adults undergoing abdominal ultrasonography. Anthropometric parameters (BMI, waist and hip circumference, waist-to-hip ratio) and metabolic comorbidities were recorded. Preperitoneal and subcutaneous fat thickness were measured to calculate AFI. Fatty liver was graded and statistical analysis were performed. Results: Of 1634 participants, 67.0% were overweight and 33.0% obese. Fatty liver was detected in 83.7% (Grade (1): 45.7%, Grade (2): 32.4%, Grade (3): 5.6%). Hypertension 39.2% and diabetes 24.9% were most common. AFI increased significantly with fatty liver severity and was higher in obese vs overweight patients 1.03 vs 0.98; p < 0.001. AFI correlated positively with BMI, waist circumference, and waist-to-hip ratio. Regression analysis identified waist-to-hip ratio, waist circumference, and BMI as independent predictors of AFI. ROC analysis demonstrated fair discrimination for fatty liver (AUC 0.72, 95% CI 0.687-0.752, p < 0.001, with diagnostic accuracy of 84%. Conclusion: Ultrasound-derived AFI is a reliable, non-invasive marker associated with obesity, fatty liver grading, and metabolic comorbidities, and may serve as a useful screening tool in clinical practice.

Zenodo (CERN European Organization for Nuclear Research)
Innovative Research (United States) (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 28%
Liver Disease Diagnosis and Treatment
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