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Title

Cross-sectional study using hepatic steatosis detected on ultrasound and its correlation with metabolic syndrome

 

Authors

Sneha Subhash Mahalpure1, MD Vishwak Sena2, Chinmay Anilkumar Keshwani3* & Mohammed Shihas4

 

Affiliation

1Department of Anatomy, N.K.P Salve Institute of Medical Sciences & Research Centre and Lata Mangeshkar Hospital, Nagpur, Maharashtra, India; 2Department of Medical Gastroenterology, Sri Ramachandra Institute of Higher Education and Research, Tamil Nadu, India; 3Department of Emergency Medicine, East Lancashire NHS Trust, Lancashire County, United Kingdom; 4Department of Medicine, Aster Hospitals Dubai, Dubai, UAE; *Corresponding author

 

Email

Sneha Subhash Mahalpure - E-mail: snehamahalpure16@gmail.com; Phone: +91 8308194915
MD Vishwak Sena - E-mail: mdvishwaksena@gmail.com; ⁠Phone: +91 8667234272
Chinmay Anilkumar Keshwani - E-mail: keshwanichinmay@gmail.com; Phone; +447448851641
Mohammed Shihas - E-mail: drmohammedshihas@gmail.com; Phone: +91 971525991886

 

Article Type

Research Article

 

Date

Received August 1, 2025; Revised August 31, 2025; Accepted August 31, 2025, Published August 31, 2025

 

Abstract

Hepatic steatosis, frequently identified incidentally using ultrasound, is increasingly linked with metabolic syndrome. This cross-sectional study assessed 132 patients undergoing abdominal ultrasound to detect fatty liver and its association with metabolic risk factors. A significant correlation was found between hepatic steatosis and components such as central obesity, elevated triglycerides and insulin resistance. Thus, we show underscore the role of routine imaging in identifying individuals at risk. Early detection can guide timely interventions to prevent long-term complications.

 

Keywords

Hepatic steatosis, fatty liver, ultrasound, metabolic syndrome, cross-sectional study, insulin resistance, abdominal imaging.

 

Citation

Mahalpure et al. Bioinformation 21(8): 2918-2921 (2025)

 

Edited by

A Prashanth

 

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.