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Article: Noninvasive Quantification of Hepatic Steatosis Using Ultrasound‐Derived Fat Fraction (CHESS2303): A Prospective Multicenter Study
Title | Noninvasive Quantification of Hepatic Steatosis Using Ultrasound‐Derived Fat Fraction (CHESS2303): A Prospective Multicenter Study |
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Authors | Huang, YunlinLi, JiaLiu, ChuanSong, DanleiZhu, ChuanlongRen, YongfengLv, JiaojianJiang, LongfengShan, RongWang, HaoWang, ZhouLong, SiqinJiang, FanXie, XiangLu, LirenQi, RuixiangRong, PengfeiShao, ChuxiaoYao, WangGao, YoufangWang, WenpingCheng, JuanWong, Vincent Wai‐SunWang, YingSeto, Wai‐KayDong, YiDietrich, Christoph F.Qi, Xiaolong |
Keywords | hepatic steatosis magnetic resonance imaging proton density fat fraction (MRI-PDFF) noninvasive quantification ultrasound-derived fat fraction (UDFF) |
Issue Date | 27-Feb-2025 |
Citation | MedComm, 2025, v. 6, n. 3 How to Cite? |
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. |
Persistent Identifier | http://hdl.handle.net/10722/354906 |
ISSN | 2023 Impact Factor: 10.7 2023 SCImago Journal Rankings: 1.926 |
DC Field | Value | Language |
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dc.contributor.author | Huang, Yunlin | - |
dc.contributor.author | Li, Jia | - |
dc.contributor.author | Liu, Chuan | - |
dc.contributor.author | Song, Danlei | - |
dc.contributor.author | Zhu, Chuanlong | - |
dc.contributor.author | Ren, Yongfeng | - |
dc.contributor.author | Lv, Jiaojian | - |
dc.contributor.author | Jiang, Longfeng | - |
dc.contributor.author | Shan, Rong | - |
dc.contributor.author | Wang, Hao | - |
dc.contributor.author | Wang, Zhou | - |
dc.contributor.author | Long, Siqin | - |
dc.contributor.author | Jiang, Fan | - |
dc.contributor.author | Xie, Xiang | - |
dc.contributor.author | Lu, Liren | - |
dc.contributor.author | Qi, Ruixiang | - |
dc.contributor.author | Rong, Pengfei | - |
dc.contributor.author | Shao, Chuxiao | - |
dc.contributor.author | Yao, Wang | - |
dc.contributor.author | Gao, Youfang | - |
dc.contributor.author | Wang, Wenping | - |
dc.contributor.author | Cheng, Juan | - |
dc.contributor.author | Wong, Vincent Wai‐Sun | - |
dc.contributor.author | Wang, Ying | - |
dc.contributor.author | Seto, Wai‐Kay | - |
dc.contributor.author | Dong, Yi | - |
dc.contributor.author | Dietrich, Christoph F. | - |
dc.contributor.author | Qi, Xiaolong | - |
dc.date.accessioned | 2025-03-15T00:35:15Z | - |
dc.date.available | 2025-03-15T00:35:15Z | - |
dc.date.issued | 2025-02-27 | - |
dc.identifier.citation | MedComm, 2025, v. 6, n. 3 | - |
dc.identifier.issn | 2688-2663 | - |
dc.identifier.uri | http://hdl.handle.net/10722/354906 | - |
dc.description.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 (<em>R</em> = 0.80, <em>p</em> < 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.<br></p> | - |
dc.language | eng | - |
dc.relation.ispartof | MedComm | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | hepatic steatosis | - |
dc.subject | magnetic resonance imaging proton density fat fraction (MRI-PDFF) | - |
dc.subject | noninvasive | - |
dc.subject | quantification | - |
dc.subject | ultrasound-derived fat fraction (UDFF) | - |
dc.title | Noninvasive Quantification of Hepatic Steatosis Using Ultrasound‐Derived Fat Fraction (CHESS2303): A Prospective Multicenter Study | - |
dc.type | Article | - |
dc.identifier.doi | 10.1002/mco2.70123 | - |
dc.identifier.scopus | eid_2-s2.0-85219644174 | - |
dc.identifier.volume | 6 | - |
dc.identifier.issue | 3 | - |
dc.identifier.eissn | 2688-2663 | - |
dc.identifier.issnl | 2688-2663 | - |