Noninvasive Quantification of Hepatic Steatosis Using Ultrasound‐Derived Fat Fraction (CHESS2303): A Prospective Multicenter Study
Ultrasound-derived fat fraction (UDFF) is designed to assess the hepatic fat content quantitatively. A multicenter study that verifies the diagnostic performance of UDFF for detecting hepatic steatosis has not yet been reported. This study aimed to evaluate the performance of UDFF for diagnosing and grading hepatic steatosis. Participants referred for assessment of hepatic steatosis were prospectively recruited from eight hospitals. All participants underwent UDFF and magnetic resonance imaging proton density fat fraction (MRI-PDFF) examinations. MRI-PDFF was used as the reference for diagnosing hepatic steatosis. From January 2023 to July 2023, a total of 300 participants were included. The median body mass index was 25.4 kg/m<sup>2</sup> (interquartile range: 22.7-28.1). UDFF values were positively correlated with MRI-PDFF (<i>R</i> = 0.80, <i>p</i> < 0.001). Using MRI-PDFF ≥ 5%, ≥ 15%, and ≥ 25% as the reference standard for detecting mild, moderate, and severe hepatic steatosis, the best cutoff values of UDFF were 7.6% (area under the receiver operating characteristic curves [AUC] = 0.90), 15.9% (AUC = 0.90), and 22.3% (AUC = 0.91), respectively. Thus, UDFF has excellent diagnostic performance in detecting and grading hepatic steatosis.
Authors
- Jiaojian Lv
- Liren Lu
- Xiaolong Qi (ORCID: https://orcid.org/0000-0002-3559-5855)
- Yun‐Lin Huang (ORCID: https://orcid.org/0000-0002-9373-3304)
- Ruixiang Qi (ORCID: https://orcid.org/0000-0002-0734-5509)
- Christoph Frank Dietrich (ORCID: https://orcid.org/0000-0001-6015-6347)
- Siqin Long
- Yong-feng Ren
- Chuanlong Zhu (ORCID: https://orcid.org/0000-0002-0657-828X)
- Xiang Xie (ORCID: https://orcid.org/0009-0002-6535-3045)
- Youfang Gao
- Chuxiao Shao (ORCID: https://orcid.org/0000-0002-7154-1723)
- Juan Cheng (ORCID: https://orcid.org/0000-0003-2705-8766)
- Pengfei Rong (ORCID: https://orcid.org/0000-0001-5473-1982)
- Danlei Song (ORCID: https://orcid.org/0000-0001-8687-1664)
- H. Wang (ORCID: https://orcid.org/0000-0001-6321-2391)
- Yao Wang (ORCID: https://orcid.org/0000-0001-7701-5313)
- Chuan Liu (ORCID: https://orcid.org/0000-0002-6362-0261)
- Ying Wang (ORCID: https://orcid.org/0000-0001-7937-9858)
- Zhou Wang (ORCID: https://orcid.org/0000-0003-4413-4441)
- Wenping Wang (ORCID: https://orcid.org/0000-0002-1851-5219)
- Fan Jiang (ORCID: https://orcid.org/0000-0002-1641-5804)
- Yi Dong (ORCID: https://orcid.org/0000-0002-0212-1477)
- Jia Li (ORCID: https://orcid.org/0000-0003-0318-8961)
- Rong Shan
- Vincent Wai‐Sun Wong (ORCID: https://orcid.org/0000-0003-2215-9410)
- Wai‐Kay Seto (ORCID: https://orcid.org/0000-0002-9012-313X)
- Longfeng Jiang (ORCID: https://orcid.org/0000-0001-8058-6838)
Institutions
- Central South University (CN)
- Shandong University (CN)
- Sun Yat-sen University (CN)
- Chinese University of Hong Kong (HK)
- Shanghai Jiao Tong University (CN)
- Anhui Medical University (CN)
- Fudan University (CN)
- Queen Mary Hospital (CN)
- XinHua Hospital (CN)
- Hirslanden Klinik Beau-Site (CH)
- Zhongda Hospital Southeast University (CN)
- Shanghai Public Health Clinical Center (CN)
- Bozhou People's Hospital (CN)
- Lishui City People's Hospital (CN)
- Zhongshan Hospital (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
- Affiliated Hangzhou First People's Hospital, Westlake University, School of Medicine (CN)
- Second Affiliated Hospital of Anhui Medical University (CN)
- Jiangsu Province Hospital (CN)
- Third Xiangya Hospital (CN)
- State Key Laboratory of Digital Medical Engineering (CN)
- Zhejiang University (CN)
- Nanjing Medical University (CN)
- University of Hong Kong (HK)
Publication Details
- Journal
- MedComm
- Published
- 2025-02-27
- DOI
- https://doi.org/10.1002/mco2.70123
- Citations
- 11
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 14.90
Funders
- Deutsche Forschungsgemeinschaft
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Government of Jiangsu Province
- Natural Science Foundation of Jiangsu Province
- Southeast University