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Imaging biomarkers for steatohepatitis and fibrosis detection in non-alcoholic fatty liver disease

机译:非酒精性脂肪肝疾病中脂肪性肝炎和纤维化检测的成像生物标志物

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摘要

There is a need, in NAFLD management, to develop non-invasive methods to detect steatohepatitis (NASH) and to predict advanced fibrosis stages. We evaluated a tool based on optical analysis of liver magnetic resonance images (MRI) as biomarkers for NASH and fibrosis detection by investigating patients with biopsy-proven NAFLD who underwent magnetic resonance (MR) protocols using 1.5T General Electric (GE) or Philips devices. Two imaging biomarkers (NASHMRI and FibroMRI) were developed, standardised and validated using area under the receiver operating characteristic curve (AUROC) analysis. The results indicated NASHMRI diagnostic accuracy for steatohepatitis detection was 0.83 (95% CI: 0.73–0.93) and FibroMRI diagnostic accuracy for significant fibrosis determination was 0.85 (95% CI: 0.77–0.94). These findings were independent of the MR system used. We conclude that optical analysis of MRI has high potential to define non-invasive imaging biomarkers for the detection of steatohepatitis (NASHMRI) and the prediction of significant fibrosis (FibroMRI) in NAFLD patients.
机译:在NAFLD管理中,需要开发非侵入性方法来检测脂肪性肝炎(NASH)和预测晚期纤维化阶段。我们通过对使用1.5T通用电气(GE)或Philips设备进行活检验证的NAFLD患者进行了磁共振(MR)方案的患者进行调查,评估了基于肝磁共振图像(MRI)光学分析作为NASH和纤维化检测生物标志物的工具。开发了两种成像生物标记(NASHMRI和FibroMRI),并使用接收器工作特征曲线(AUROC)分析下的面积进行了标准化和验证。结果表明,NASHMRI对脂肪性肝炎的诊断准确性为0.83(95%CI:0.73-0.93),而FibroMRI对重大纤维化的诊断准确性为0.85(95%CI:0.77-0.94)。这些发现与所使用的MR系统无关。我们得出结论,MRI的光学分析具有很高的潜力,可为非酒精性脂肪性肝炎患者定义无创性成像生物标记物,以检测脂肪性肝炎(NASHMRI)和预测显着纤维化(FibroMRI)。

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