Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, 791-0295, Japan.
Department of Imaging Diagnosis, Ogaki Municipal Hospital, Ogaki, Japan.
J Gastroenterol. 2024 Jun;59(6):504-514. doi: 10.1007/s00535-024-02096-w. Epub 2024 Mar 30.
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.
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.
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.
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).
已有几项初步报告表明,基于 B 型超声的超声衰减系数测量(如 iATT)可用于诊断脂肪性肝病。然而,缺乏支持这种效用的证据。本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,并且能够很好地区分脂肪变性程度。
一个 846 人的队列接受了 iATT 和 MRI-PDFF 评估。脂肪变性程度定义为 MRI-PDFF<5.2%的 0 级,5.2%MRI-PDFF<11.3%的 1 级,11.3%MRI-PDFF<17.1%的 2 级,MRI-PDFF 为 17.1%的 3 级。使用 Bland-Altman 分析和组内相关系数评估 iATT 和 MRI-PDFF 的重复性,使用受试者工作特征分析检查每个脂肪变性程度的诊断性能。
Bland-Altman 分析表明,iATT 与 MRI-PDFF 之间具有极好的可重复性,且固定偏差最小。区分 1 级、2 级和 3 级脂肪变性的曲线下面积分别为 0.887、0.882 和 0.867。皮肤-包膜距离≥25mm 被确定为唯一导致差异的显著因素。未观察到 MRI-logPDFF 和 MRE-LSM 对 iATT 值的相互作用。
与 MRI-PDFF 相比,iATT 在分级脂肪变性方面具有出色的诊断准确性。iATT 可作为临床实践和试验中的诊断工具替代 MRI。
本研究在 UMIN 临床试验注册库(UMIN000047411)注册。