Ultrasound-derived fat fraction to assess liver steatosis in obese patients with polycystic ovary syndrome

This study aims to explore the characteristics and influencing factors of ultrasound-derived fat fraction (UDFF) in obese patients with polycystic ovary syndrome (PCOS). Evaluate the diagnostic value of UDFF for MAFLD. This study included 124 obese PCOS patients and 106 age- and body mass index (BMI)-matched obese women, collecting clinical data from both groups. Compare the characteristics and related factors of hepatic steatosis between two groups. A total of 124 obese PCOS patients were divided into MAFLD group (n = 64) and no MAFLD group (n = 60). Binary logistic regression was used to analyze the independent risk factors for MAFLD in obese PCOS patients, and Spearman correlation analysis was used to examine the correlation between UDFF and various variables. The MAFLD group was further divided into mild group (S1, n = 16), moderate group (S2, n = 24), and severe group (S3, n = 24). Based on the ultrasound results, draw a receiver operating characteristic curve (ROC) for diagnosing the degree of hepatic steatosis in obese PCOS patients using UDFF. MAFLD was more common in the obese PCOS group than in the simple obese group (51.61% vs. 40.57%, P < 0.05). UDFF is positively correlated with the severity of MAFLD (r = 0.603, P < 0.01). The AUC for diagnosing liver steatosis with S ≥ 1, S ≥ 2, and S = 3 using UDFF is 0.935, 0.951, and 0.916. UDFF has certain diagnostic value for metabolic-related fatty liver disease in obese PCOS patients, and UDFF levels gradually increase with the severity of MAFLD.

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Publication Details

Journal
Clinical and Experimental Medicine
Published
2025-04-29
DOI
https://doi.org/10.1007/s10238-025-01635-w
Citations
2
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
2.71
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article

Ultrasound-derived fat fraction to assess liver steatosis in obese patients with polycystic ovary syndrome

Zhixiao Yang, Yuan Hu, Hui Yang, J. Wang et al.
2 citations
Clinical and Experimental Medicine
Liver Disease Diagnosis and Treatment
2.71
article

Ultrasound-derived fat fraction to assess liver steatosis in obese patients with polycystic ovary syndrome

Zhixiao Yang, Yuan Hu, Hui Yang, J. Wang, Lina Meng
article en
2 citations

Abstract

This study aims to explore the characteristics and influencing factors of ultrasound-derived fat fraction (UDFF) in obese patients with polycystic ovary syndrome (PCOS). Evaluate the diagnostic value of UDFF for MAFLD. This study included 124 obese PCOS patients and 106 age- and body mass index (BMI)-matched obese women, collecting clinical data from both groups. Compare the characteristics and related factors of hepatic steatosis between two groups. A total of 124 obese PCOS patients were divided into MAFLD group (n = 64) and no MAFLD group (n = 60). Binary logistic regression was used to analyze the independent risk factors for MAFLD in obese PCOS patients, and Spearman correlation analysis was used to examine the correlation between UDFF and various variables. The MAFLD group was further divided into mild group (S1, n = 16), moderate group (S2, n = 24), and severe group (S3, n = 24). Based on the ultrasound results, draw a receiver operating characteristic curve (ROC) for diagnosing the degree of hepatic steatosis in obese PCOS patients using UDFF. MAFLD was more common in the obese PCOS group than in the simple obese group (51.61% vs. 40.57%, P < 0.05). UDFF is positively correlated with the severity of MAFLD (r = 0.603, P < 0.01). The AUC for diagnosing liver steatosis with S ≥ 1, S ≥ 2, and S = 3 using UDFF is 0.935, 0.951, and 0.916. UDFF has certain diagnostic value for metabolic-related fatty liver disease in obese PCOS patients, and UDFF levels gradually increase with the severity of MAFLD.

Clinical and Experimental MedicineVol. 25(1)
Qingdao University (CN), Affiliated Hospital of Qingdao University (CN), Jimo District Qingdao Hospital of Traditional Chinese Medicine (CN)
Zero hunger
Openalex Percentile: Top 11%
Liver Disease Diagnosis and Treatment
2.71
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