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Title

FibroScan grading and metabolic correlates of fatty liver disease

 

Authors

Hemant Kumar Jain1,*, Jitendra Kanjolia1, Aparna Mittal1 & Shivani Parihar2

 

Affiliation

1Department of General Medicine, Government Medical College, Datia, Madhya Pradesh, India; 2Department of Pathology, Chirayu Medical College, Bhopal, Madhya Pradesh, India; *Corresponding author

 

Email

Hemant Kumar Jain - E-mail: hk5256@yahoo.co.in
Jitendra Kanjolia - E-mail: jitendrakanjolia@gmail.com

Aparna Mittal - E-mail: aparnamittal.mittal@gmail.com
Shivani Parihar - E-mail: drshivaniparihar199@gmail.com

 

Article Type

Research Article

 

Date

Received March 1, 2026; Revised March 31, 2026; Accepted March 31, 2026, Published March 31, 2026

 

Abstract

Fatty liver disease is increasingly recognized as a hepatic manifestation of systemic metabolic dysfunction. This cross-sectional study, conducted among 165 adult patients with ultrasonographic evidence of fatty liver disease, evaluated metabolic risk factors and liver involvement using FibroScan for steatosis grading and liver stiffness measurement. The results revealed a high prevalence of metabolic syndrome, insulin resistance, dysglycemia and atherogenic dyslipidemia among participants, with moderate to severe hepatic steatosis being common. FibroScan grades showed a significant association between higher steatosis levels and worsening metabolic profiles, including body composition, glycemic parameters and insulin resistance. Thus, we show FibroScan as a valuable non-invasive tool for identifying patients at increased metabolic and hepatic risk, allowing for early risk stratification and management.

 

Keywords

Fatty liver disease; FibroScan; controlled attenuation parameter; metabolic syndrome; insulin resistance; liver fibrosis

 

Citation

Jain et al. Bioinformation 22(3): 1487-1490 (2026)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.