Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
Obesity (Silver Spring). 2012 Feb;20(2):444-52. doi: 10.1038/oby.2011.302. Epub 2011 Oct 20.
Accurate measures of liver fat content are essential for investigating the role of hepatic steatosis in the pathophysiology of multiple metabolic disorders. No traditional imaging methods can accurately quantify liver fat content. [(1)H]-magnetic resonance spectroscopy (MRS) is restricted in large-scale studies because of the practical and technological issues. Previous attempts on computer-aided ultrasound quantification of liver fat content varied in method, and the ultrasound quantitative parameters measured from different ultrasound machines were hardly comparable. We aimed to establish and validate a simple and propagable method for quantitative assessment of liver fat content based on the combination of standardized ultrasound quantitative parameters, using [(1)H]-MRS as gold standard. Totally 127 participants were examined with both ultrasonography (US) and [(1)H]-MRS. Ultrasound hepatic/renal echo-intensity ratio (H/R) and ultrasound hepatic echo-intensity attenuation rate (HA) were obtained from ordinary ultrasound images using computer program. Both parameters were standardized using a tissue-mimicking phantom before analysis. Standardized ultrasound H/R and HA were positively correlated with the liver fat content by [(1)H]-MRS (r = 0.884, P < 0.001 and r = 0.711, P < 0.001, respectively). Linear regression analysis showed ultrasound H/R could modestly predict the amount of liver fat (adjusted explained variance 78.0%, P < 0.001). The addition of ultrasound HA slightly improved the adjusted explained variance to 79.8%. Difference of estimated liver fat contents between different ultrasound machines and operators was reasonably well. Thus, computer-aided US is a valid method to estimate liver fat content and can be applied extensively after standardization of ultrasound quantitative parameters.
准确测量肝脂肪含量对于研究肝脂肪变性在多种代谢紊乱的病理生理学中的作用至关重要。没有传统的影像学方法可以准确地量化肝脂肪含量。[(1)H]-磁共振波谱(MRS)由于实际和技术问题在大规模研究中受到限制。以前基于计算机辅助超声量化肝脂肪含量的尝试在方法上有所不同,而且来自不同超声仪器的超声定量参数几乎无法比较。我们旨在建立和验证一种简单且可推广的方法,基于标准化的超声定量参数,结合[(1)H]-MRS 作为金标准,对肝脂肪含量进行定量评估。总共 127 名参与者接受了超声和[(1)H]-MRS 检查。使用计算机程序从普通超声图像中获得超声肝/肾回声强度比(H/R)和超声肝回声强度衰减率(HA)。在分析之前,使用组织模拟体对这两个参数进行标准化。标准化的超声 H/R 和 HA 与通过[(1)H]-MRS 测量的肝脂肪含量呈正相关(r=0.884,P<0.001 和 r=0.711,P<0.001)。线性回归分析表明,超声 H/R 可以适度预测肝脂肪量(调整后的解释方差为 78.0%,P<0.001)。添加超声 HA 略微提高了调整后的解释方差至 79.8%。不同超声仪器和操作人员之间估计的肝脂肪含量的差异相当好。因此,计算机辅助超声是一种有效的肝脂肪含量估计方法,在标准化超声定量参数后可以广泛应用。