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基于偏倚和精度统计的超声引导衰减参数与磁共振成像质子密度脂肪分数的个体内比较。

Intra-individual Comparisons of the Ultrasound-Guided Attenuation Parameter and the Magnetic Resonance Imaging-Based Proton Density Fat Fraction Using Bias and Precision Statistics.

机构信息

Department of Nursing, Faculty of Nursing, Gifu Kyoritsu University, Ogaki, Gifu, Japan.

Department of Imaging Diagnosis, Ogaki Municipal Hospital, Ogaki, Gifu, Japan.

出版信息

Ultrasound Med Biol. 2022 Aug;48(8):1537-1546. doi: 10.1016/j.ultrasmedbio.2022.03.019. Epub 2022 May 22.

DOI:10.1016/j.ultrasmedbio.2022.03.019
PMID:35613974
Abstract

Ultrasound-based techniques using the attenuation coefficient, including the ultrasound-guided attenuation parameter (UGAP), have been developed for the quantification of hepatic steatosis. The magnetic resonance imaging-based proton density fat fraction (MRI-PDFF) is considered to be more accurate than liver biopsy for liver fat quantification. The aim of this study was to perform intra-individual comparisons of UGAP and MRI-PDFF for determining hepatic steatosis grade. The study enrolled 309 patients who underwent UGAP and MRI-PDFF measurements. Bland-Altman analysis was conducted after transforming MRI-PDFF values to a normal distribution and converted to a common set of units using linear regression analysis for differing scales. The expected limits of agreement (LOA) was defined as the square root of the sum of the squares of UGAP and MRI-PDFF precision. A Bland-Altman plot revealed that the bias and upper and lower LOAs (ULOA and LLOA) were -0.0047, 0.1160 and -0.1255, respectively. The percentage difference indicated that the mean, ULOA and LLOA were -1.1434%, 18.1723% and -20.4590%, respectively. The calculated expected LOA was 18.5449%, and 283 of 309 patients (91.6%) had a percentage difference within 18.5449%. Bland-Altman analysis revealed that UGAP and MRI-PDFF were interchangeable within a clinically acceptable range.

摘要

基于衰减系数的超声技术,包括超声引导衰减参数(UGAP),已被开发用于肝脂肪变性的定量。基于磁共振成像的质子密度脂肪分数(MRI-PDFF)被认为比肝活检更能准确地定量肝脂肪。本研究的目的是对 UGAP 和 MRI-PDFF 进行个体内比较,以确定肝脂肪变性程度。该研究纳入了 309 名接受 UGAP 和 MRI-PDFF 测量的患者。在将 MRI-PDFF 值转换为正态分布并使用线性回归分析将其转换为不同标度的常用单位后,进行了 Bland-Altman 分析。预期的一致性界限(LOA)定义为 UGAP 和 MRI-PDFF 精度的平方和的平方根。Bland-Altman 图显示,偏差和上下 LOA(ULOA 和 LLOA)分别为-0.0047、0.1160 和-0.1255。百分比差异表明,平均值、ULOA 和 LLOA 分别为-1.1434%、18.1723%和-20.4590%。计算得出的预期 LOA 为 18.5449%,309 名患者中有 283 名(91.6%)的百分比差异在 18.5449%以内。Bland-Altman 分析表明,UGAP 和 MRI-PDFF 在临床可接受的范围内具有可互换性。

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Ultrasound-guided attenuation parameter for identifying metabolic dysfunction-associated steatotic liver disease: a prospective study.超声引导下衰减参数用于识别代谢功能障碍相关脂肪性肝病:一项前瞻性研究。
Ultrasonography. 2025 Mar;44(2):134-144. doi: 10.14366/usg.24204. Epub 2024 Dec 19.
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Performance of ultrasound-guided attenuation parameter and 2D shear wave elastography in patients with metabolic dysfunction-associated steatotic liver disease.
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