Schwimmer Jeffrey B, Middleton Michael S, Behling Cynthia, Newton Kimberly P, Awai Hannah I, Paiz Melissa N, Lam Jessica, Hooker Jonathan C, Hamilton Gavin, Fontanesi John, Sirlin Claude B
Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, CA.
Department of Gastroenterology, Rady Children's Hospital San Diego, San Diego, CA.
Hepatology. 2015 Jun;61(6):1887-95. doi: 10.1002/hep.27666. Epub 2015 Feb 5.
Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease in children. In order to advance the field of NAFLD, noninvasive imaging methods for measuring liver fat are needed. Advanced magnetic resonance imaging (MRI) has shown great promise for the quantitative assessment of hepatic steatosis but has not been validated in children. Therefore, this study was designed to evaluate the correlation and diagnostic accuracy of MRI-estimated liver proton density fat fraction (PDFF), a biomarker for hepatic steatosis, compared to histologic steatosis grade in children. The study included 174 children with a mean age of 14.0 years. Liver PDFF estimated by MRI was significantly (P < 0.01) correlated (0.725) with steatosis grade. The correlation of MRI-estimated liver PDFF and steatosis grade was influenced by both sex and fibrosis stage. The correlation was significantly (P < 0.01) stronger in girls (0.86) than in boys (0.70). The correlation was significantly (P < 0.01) weaker in children with stage 2-4 fibrosis (0.61) than children with no fibrosis (0.76) or stage 1 fibrosis (0.78). The diagnostic accuracy of commonly used threshold values to distinguish between no steatosis and mild steatosis ranged from 0.69 to 0.82. The overall accuracy of predicting the histologic steatosis grade from MRI-estimated liver PDFF was 56%. No single threshold had sufficient sensitivity and specificity to be considered diagnostic for an individual child.
Advanced magnitude-based MRI can be used to estimate liver PDFF in children, and those PDFF values correlate well with steatosis grade by liver histology. Thus, magnitude-based MRI has the potential for clinical utility in the evaluation of NAFLD, but at this time no single threshold value has sufficient accuracy to be considered diagnostic for an individual child.
非酒精性脂肪性肝病(NAFLD)是儿童中最常见的慢性肝病。为了推动NAFLD领域的发展,需要用于测量肝脏脂肪的非侵入性成像方法。先进的磁共振成像(MRI)在肝脂肪变性的定量评估方面显示出巨大潜力,但尚未在儿童中得到验证。因此,本研究旨在评估与儿童组织学脂肪变性分级相比,MRI估计的肝脏质子密度脂肪分数(PDFF)(一种肝脂肪变性生物标志物)的相关性和诊断准确性。该研究纳入了174名平均年龄为14.0岁的儿童。MRI估计的肝脏PDFF与脂肪变性分级显著相关(P < 0.01)(0.725)。MRI估计的肝脏PDFF与脂肪变性分级的相关性受性别和纤维化阶段的影响。女孩中的相关性(0.86)显著(P < 0.01)强于男孩(0.70)。2 - 4期纤维化儿童中的相关性(0.61)显著(P < 0.01)弱于无纤维化儿童(0.76)或1期纤维化儿童(0.78)。区分无脂肪变性和轻度脂肪变性的常用阈值的诊断准确性在0.69至0.82之间。根据MRI估计的肝脏PDFF预测组织学脂肪变性分级的总体准确性为56%。没有单一阈值具有足够的敏感性和特异性可被视为对个体儿童具有诊断价值。
基于幅值的先进MRI可用于估计儿童肝脏PDFF,且这些PDFF值与肝脏组织学脂肪变性分级相关性良好。因此,基于幅值的MRI在NAFLD评估中具有临床应用潜力,但目前没有单一阈值具有足够准确性可被视为对个体儿童具有诊断价值。