Jung Tae Yang, Kim Myung Sub, Hong Hyun Pyo, Kang Kyung A, Jun Dae Won
Department of Internal Medicine, Hanyang University College of Medicine, Seoul 04763, Korea.
Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 03181, Korea.
J Clin Med. 2020 Sep 3;9(9):2851. doi: 10.3390/jcm9092851.
Several hepatic steatosis formulae have been validated in various cohorts using ultrasonography. However, none of these studies has been validated in a community-based setting using the gold standard method. Thus, the aim of this study was to externally validate hepatic steatosis formulae in community-based settings using magnetic resonance imaging (MRI). A total of 1301 community-based health checkup subjects who underwent liver fat quantification with MRI were enrolled in this study. Diagnostic performance was assessed using the area under the receiver operating characteristic curve (AUROC). Non-alcoholic fatty liver disease (NAFLD) liver fat score showed the highest diagnostic performance with an AUROC of 0.72, followed by Framingham steatosis index (0.70), hepatic steatosis index (HSI, 0.69), ZJU index (0.69), and fatty liver index (FLI, 0.68). There were considerable gray zones in three fatty liver prediction models using two cutoffs (FLI, 28.9%; HSI, 48.9%; and ZJU index, 53.6%). The diagnostic performance of NAFLD liver fat score for detecting steatosis was comparable to that of ultrasonography. The diagnostic agreement was 72.7% between NAFLD liver fat score and 70.9% between ultrasound and MRI. In conclusion, the NAFLD liver fat score showed the best diagnostic performance for detecting hepatic steatosis. Its diagnostic performance was comparable to that of ultrasonography in a community-based setting.
已有多种肝脂肪变性公式在不同队列中通过超声检查得到验证。然而,这些研究均未在社区环境中采用金标准方法进行验证。因此,本研究的目的是在社区环境中使用磁共振成像(MRI)对肝脂肪变性公式进行外部验证。本研究共纳入了1301名接受MRI肝脏脂肪定量检查的社区健康体检受试者。使用受试者操作特征曲线下面积(AUROC)评估诊断性能。非酒精性脂肪性肝病(NAFLD)肝脏脂肪评分的诊断性能最高,AUROC为0.72,其次是弗雷明汉脂肪变性指数(0.70)、肝脂肪变性指数(HSI,0.69)、浙江大学指数(0.69)和脂肪肝指数(FLI,0.68)。在使用两个临界值的三种脂肪肝预测模型中存在相当大的灰色区域(FLI为28.9%;HSI为48.9%;浙江大学指数为53.6%)。NAFLD肝脏脂肪评分检测脂肪变性的诊断性能与超声检查相当。NAFLD肝脏脂肪评分与超声检查和MRI之间的诊断一致性分别为72.7%和70.9%。总之,NAFLD肝脏脂肪评分在检测肝脂肪变性方面显示出最佳的诊断性能。在社区环境中,其诊断性能与超声检查相当。