iATT liver fat quantification for steatosis grading by referring to MRI proton density fat fraction: a multicenter study.

IF 6.9 2区 医学 Q1 GASTROENTEROLOGY & HEPATOLOGY
Journal of Gastroenterology Pub Date : 2024-06-01 Epub Date: 2024-03-30 DOI:10.1007/s00535-024-02096-w
Masashi Hirooka, Sadanobu Ogawa, Yohei Koizumi, Yuichi Yoshida, Tatsuya Goto, Satoshi Yasuda, Masahiro Yamahira, Tsutomu Tamai, Ryoko Kuromatsu, Toshihisa Matsuzaki, Tomoyuki Suehiro, Yoshihiro Kamada, Yoshio Sumida, Yoichi Hiasa, Hidenori Toyoda, Takashi Kumada
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引用次数: 0

Abstract

Background: Several preliminary reports have suggested the utility of ultrasound attenuation coefficient measurements based on B-mode ultrasound, such as iATT, for diagnosing steatotic liver disease. Nonetheless, evidence supporting such utility is lacking. This prospective study aimed to investigate whether iATT is highly concordant with magnetic resonance imaging (MRI)-based proton density fat fraction (MRI-PDFF) and could well distinguish between steatosis grades.

Methods: A cohort of 846 individuals underwent both iATT and MRI-PDFF assessments. Steatosis grade was defined as grade 0 with MRI-PDFF < 5.2%, grade 1 with 5.2% MRI-PDFF < 11.3%, grade 2 with 11.3% MRI-PDFF < 17.1%, and grade 3 with MRI-PDFF of 17.1%. The reproducibility of iATT and MRI-PDFF was evaluated using the Bland-Altman analysis and intraclass correlation coefficients, whereas the diagnostic performance of each steatosis grade was examined using receiver operating characteristic analysis.

Results: The Bland-Altman analysis indicated excellent reproducibility with minimal fixed bias between iATT and MRI-PDFF. The area under the curve for distinguishing steatosis grades 1, 2, and 3 were 0.887, 0.882, and 0.867, respectively. A skin-to-capsula distance of ≥ 25 mm was identified as the only significant factor causing the discrepancy. No interaction between MRI-logPDFF and MRE-LSM on iATT values was observed.

Conclusions: Compared to MRI-PDFF, iATT showed excellent diagnostic accuracy in grading steatosis. iATT could be used as a diagnostic tool instead of MRI in clinical practice and trials. Trial registration This study was registered in the UMIN Clinical Trials Registry (UMIN000047411).

参考磁共振成像质子密度脂肪分数进行脂肪变性分级的 iATT 肝脏脂肪定量:一项多中心研究。
背景:一些初步报告显示,基于 B 型超声(如 iATT)的超声衰减系数测量可用于诊断脂肪肝。然而,目前还缺乏支持这种效用的证据。这项前瞻性研究旨在探讨 iATT 是否与基于磁共振成像(MRI)的质子密度脂肪分数(MRI-PDFF)高度一致,并能很好地区分脂肪肝的等级:一组 846 人同时接受了 iATT 和 MRI-PDFF 评估。结果:Bland-Altman 分析结果显示,MRI-PDFF 能有效区分脂肪变性等级:Bland-Altman分析表明,iATT和MRI-PDFF之间具有极好的重现性,固定偏差极小。区分脂肪变性 1、2 和 3 级的曲线下面积分别为 0.887、0.882 和 0.867。皮肤到囊的距离≥ 25 毫米是造成差异的唯一重要因素。没有观察到 MRI-logPDFF 和 MRE-LSM 对 iATT 值的交互作用:与 MRI-PDFF 相比,iATT 在脂肪变性分级方面显示出卓越的诊断准确性。试验注册 本研究已在 UMIN 临床试验注册中心注册(UMIN000047411)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Gastroenterology
Journal of Gastroenterology 医学-胃肠肝病学
CiteScore
12.20
自引率
1.60%
发文量
99
审稿时长
4-8 weeks
期刊介绍: The Journal of Gastroenterology, which is the official publication of the Japanese Society of Gastroenterology, publishes Original Articles (Alimentary Tract/Liver, Pancreas, and Biliary Tract), Review Articles, Letters to the Editors and other articles on all aspects of the field of gastroenterology. Significant contributions relating to basic research, theory, and practice are welcomed. These publications are designed to disseminate knowledge in this field to a worldwide audience, and accordingly, its editorial board has an international membership.
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