Yunlin Huang, Jia Li, Chuan Liu, Danlei Song, Chuanlong Zhu, Yongfeng Ren, Jiaojian Lv, Longfeng Jiang, Rong Shan, Hao Wang, Zhou Wang, Siqin Long, Fan Jiang, Xiang Xie, Liren Lu, Ruixiang Qi, Pengfei Rong, Chuxiao Shao, Wang Yao, Youfang Gao, Wenping Wang, Juan Cheng, Vincent Wai-Sun Wong, Ying Wang, Wai-Kay Seto, Yi Dong, Christoph F. Dietrich, Xiaolong Qi
{"title":"Noninvasive Quantification of Hepatic Steatosis Using Ultrasound-Derived Fat Fraction (CHESS2303): A Prospective Multicenter Study","authors":"Yunlin Huang, Jia Li, Chuan Liu, Danlei Song, Chuanlong Zhu, Yongfeng Ren, Jiaojian Lv, Longfeng Jiang, Rong Shan, Hao Wang, Zhou Wang, Siqin Long, Fan Jiang, Xiang Xie, Liren Lu, Ruixiang Qi, Pengfei Rong, Chuxiao Shao, Wang Yao, Youfang Gao, Wenping Wang, Juan Cheng, Vincent Wai-Sun Wong, Ying Wang, Wai-Kay Seto, Yi Dong, Christoph F. Dietrich, Xiaolong Qi","doi":"10.1002/mco2.70123","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":94133,"journal":{"name":"MedComm","volume":"6 3","pages":""},"PeriodicalIF":10.7000,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mco2.70123","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MedComm","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/mco2.70123","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
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/m2 (interquartile range: 22.7–28.1). UDFF values were positively correlated with MRI-PDFF (R = 0.80, p < 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.