Wang Xiao-Pei, Wang Yu, Ma Hong, Wang Han, Yang Da-Wei, Zhao Xin-Yan, Jin Er-Hu, Yang Zheng-Han
Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Quant Imaging Med Surg. 2020 Jun;10(6):1208-1222. doi: 10.21037/qims-19-849.
The accurate assessment of liver fibrosis is essential for patients with chronic liver disease. A liver biopsy is an invasive procedure that has many potential defects and complications. Therefore, noninvasive assessment techniques are of considerable value for clinical diagnosis. Liver and spleen magnetic resonance elastography (MRE) and serum markers have been proposed for quantitative and noninvasive assessment of liver fibrosis. This study aims to compare the diagnostic performance of liver and spleen stiffness measured by MRE, fibrosis index based on the 4 factors (FIB-4), aspartate aminotransferase-to-platelet ratio index (APRI), and their combined models for staging hepatic fibrosis.
One hundred and twenty patients with chronic liver disease underwent MRE scans. Liver and spleen stiffness were measured by the MRE stiffness maps. Serum markers were collected to calculate FIB-4 and APRI. Liver biopsies were used to identify pathologic grading. Spearman's rank correlation analysis evaluated the correlation between the parameters and fibrosis stages. Receiver operating characteristic (ROC) analysis evaluated the performance of the four individual parameters, a liver and spleen stiffness combined model, and an all-parameters combined model in assessing liver fibrosis.
Liver stiffness, spleen stiffness, FIB-4, and APRI were all correlated with fibrosis stage (=0.87, 0.64, 0.65, and 0.51, respectively, all P<0.001). Among the 4 individual diagnostic markers, liver stiffness showed the highest values in staging F1-4, F2-4, F3-4 and F4 (AUC =0.89, 0. 97, 0.95, and 0.95, all P<0.001). The AUCs of the liver and spleen stiffness combined model in the F1-4, F2-4, F3-4, and F4 staging groups were 0.89, 0.97, 0.95, and 0.96, respectively (all P<0.001). The corresponding AUCs of the all-parameters combined model were 0.90, 0.97, 0.95, and 0.96 (all P<0.001). The AUCs of the liver and spleen stiffness combined model were significantly higher than those of APRI, FIB-4 in the F2-4, F3-4, and F4 staging groups (all P<0.05). Both combined models were not significantly different from liver stiffness in staging liver fibrosis (all P>0.05).
Liver stiffness measured with MRE had better diagnostic performance than spleen stiffness, APRI, and FIB-4 for fibrosis staging. The combined models did not significantly improve the diagnostic value compared with liver stiffness in staging fibrosis.
准确评估肝纤维化对慢性肝病患者至关重要。肝活检是一种侵入性操作,存在许多潜在缺陷和并发症。因此,非侵入性评估技术对临床诊断具有重要价值。肝脏和脾脏磁共振弹性成像(MRE)以及血清标志物已被用于肝纤维化的定量和非侵入性评估。本研究旨在比较通过MRE测量的肝脏和脾脏硬度、基于4项指标的纤维化指数(FIB-4)、天冬氨酸氨基转移酶与血小板比值指数(APRI)及其联合模型在肝纤维化分期中的诊断性能。
120例慢性肝病患者接受了MRE扫描。通过MRE硬度图测量肝脏和脾脏硬度。收集血清标志物以计算FIB-4和APRI。采用肝活检确定病理分级。Spearman等级相关分析评估各参数与纤维化分期之间的相关性。受试者操作特征(ROC)分析评估四个单独参数、肝脏和脾脏硬度联合模型以及所有参数联合模型在评估肝纤维化中的性能。
肝脏硬度、脾脏硬度、FIB-4和APRI均与纤维化分期相关(分别为=0.87、0.64、0.65和0.51,均P<0.001)。在4个单独的诊断标志物中,肝脏硬度在F1-4、F2-4、F3-4和F4分期中的值最高(AUC=0.89、0.97、0.95和0.95,均P<0.001)。肝脏和脾脏硬度联合模型在F1-4、F2-4、F3-4和F4分期组中的AUC分别为0.89、0.97、0.95和0.96(均P<0.001)。所有参数联合模型的相应AUC分别为0.90、0.97、0.95和0.96(均P<0.001)。在F2-4、F3-4和F4分期组中,肝脏和脾脏硬度联合模型的AUC显著高于APRI、FIB-4(均P<0.05)。在肝纤维化分期方面,两种联合模型与肝脏硬度相比均无显著差异(均P>0.05)。
对于纤维化分期,用MRE测量的肝脏硬度比脾脏硬度、APRI和FIB-4具有更好的诊断性能。在纤维化分期中,联合模型与肝脏硬度相比,并未显著提高诊断价值。