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超声引导衰减参数(UGAP)在无创性评估肝脂肪变性中的可重复性。

Reproducibility of ultrasound-guided attenuation parameter (UGAP) to the noninvasive evaluation of hepatic steatosis.

机构信息

Department of Ultrasound Medicine, The Second Affiliated Hospital of Zhejiang University School of Medicine, t, 88 Jiefang Road, Shangcheng Distric, Hangzhou, 310009, Zhejiang Province, China.

Department of Ultrasound Medicine, The Second Affiliated Hospital of Soochow University, Suzhou, 215000, China.

出版信息

Sci Rep. 2022 Feb 21;12(1):2876. doi: 10.1038/s41598-022-06879-0.

DOI:10.1038/s41598-022-06879-0
PMID:35190618
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8861045/
Abstract

The aim of this study was to identify the applicability of an ultrasound-guided attenuation parameter (UGAP) for the noninvasive assessment of hepatic steatosis in clinical practice and to compare its correlation with B-mode ultrasound (US). From May to July 2021, 63 subjects with different body mass index (BMI) grades were included in the prospective study. All of them performed UGAP measurements, under different breathing manipulations, positions, diet statuses, and operators. After that, the UGAP values were compared with the visual grades of hepatic steatosis on B-mode US using a 4-point scale method. The intraclass correlation (ICC) of the UGAP values between the two radiologists was 0.862 (p < 0.001), and the ICCs of the UGAP values on the same day and different days by radiologist A were 0.899 (p < 0.001) and 0.910 (p < 0.001), respectively. There were no significant differences in UGAP values under different breathing manipulations (p > 0.05), positions (p > 0.05), or diet statuses (p = 0.300). The UGAP values in the fasting (supine position, segment V, 1) condition among the lean (BMI < 24 kg/m), overweight (24 kg/m ≤ BMI < 28 kg/m) and obese groups (BMI ≥ 28 kg/m) were 0.60 ± 0.12, 0.66 ± 0.14, and 0.71 ± 0.11 dB/cm/MHz, respectively, with a significant difference (p = 0.006). The correlation coefficients (Rho) between the UGAP values and the visual grades of hepatic steatosis by the two reviewers were 0.845 (p < 0.001) and 0.850 (p < 0.001), corresponding to a strong relationship. Steatosis grades by reviewer 1 (p = 0.036) and reviewer 2 (p = 0.003) were significant factors determining the UGAP values according to the multivariate linear regression analysis. UGAP demonstrated excellent intraobserver and interobserver reproducibility in the assessment of hepatic steatosis. UGAP may be a promising tool in clinical practice to predict hepatic steatosis.

摘要

本研究旨在确定超声引导衰减参数(UGAP)在临床实践中用于无创评估肝脂肪变性的适用性,并比较其与 B 型超声(US)的相关性。2021 年 5 月至 7 月,前瞻性研究纳入了 63 名不同体重指数(BMI)等级的受试者。他们都进行了 UGAP 测量,采用不同的呼吸操作、体位、饮食状态和操作者。之后,采用 4 分制方法,将 UGAP 值与 B 型 US 上肝脂肪变性的视觉分级进行比较。两位放射科医生的 UGAP 值的组内相关系数(ICC)为 0.862(p<0.001),放射科医生 A 同一天和不同天的 UGAP 值的 ICC 分别为 0.899(p<0.001)和 0.910(p<0.001)。不同呼吸操作(p>0.05)、体位(p>0.05)或饮食状态(p=0.300)下的 UGAP 值无显著差异。瘦(BMI<24 kg/m)、超重(24 kg/m≤BMI<28 kg/m)和肥胖组(BMI≥28 kg/m)空腹(仰卧位,V 段,1)条件下的 UGAP 值分别为 0.60±0.12、0.66±0.14 和 0.71±0.11 dB/cm/MHz,差异有统计学意义(p=0.006)。两位观察者的 UGAP 值与肝脂肪变性视觉分级之间的相关系数(Rho)分别为 0.845(p<0.001)和 0.850(p<0.001),相关性较强。根据多元线性回归分析,观察者 1(p=0.036)和观察者 2(p=0.003)的脂肪变性分级是决定 UGAP 值的显著因素。UGAP 在评估肝脂肪变性方面具有良好的观察者内和观察者间可重复性。UGAP 可能是临床实践中预测肝脂肪变性的一种很有前途的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/051e/8861045/1940ce415434/41598_2022_6879_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/051e/8861045/19e8ff1a4cf8/41598_2022_6879_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/051e/8861045/27b3b4741193/41598_2022_6879_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/051e/8861045/a0870ab4108a/41598_2022_6879_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/051e/8861045/1940ce415434/41598_2022_6879_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/051e/8861045/19e8ff1a4cf8/41598_2022_6879_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/051e/8861045/27b3b4741193/41598_2022_6879_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/051e/8861045/a0870ab4108a/41598_2022_6879_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/051e/8861045/1940ce415434/41598_2022_6879_Fig4_HTML.jpg

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