Department of Radiology, Indiana University School of Medicine, 550 N University Blvd, UH 0279, Indianapolis, IN, 46202, USA.
Department of Radiology, Assiut University, Assiut, Egypt.
Abdom Radiol (NY). 2018 Mar;43(3):600-606. doi: 10.1007/s00261-017-1263-8.
To investigate the usefulness of intravoxel incoherent motion (IVIM) in determining the severity of hepatic fibrosis, steatosis, and inflammation in patients with chronic liver disease.
Forty-nine patients who had liver MRI with IVIM sequence and liver biopsy within three months of MRI were enrolled. A reviewer, blinded to histology, placed regions of interest of 1-2 cm in the right liver lobe. In addition, the first twenty patients were assessed with a second reviewer. Perfusion fraction (f), pseudodiffusion coefficient (D ), true diffusion coefficient (D ), and apparent diffusion coefficient (ADC) were calculated from normalized signal intensities that were fitted into a biexponential model. Errors in the model were minimized with global stochastic optimization using Simulated Annealing. ANOVA with post hoc Tukey-Kramer test and multivariate generalized linear model analysis were performed, using histological findings as the gold standard.
The most common etiologies for liver disease were hepatitis C and alcohol, accounting together for 76% (37/49) of patients. Low-grade fibrosis (F0, F1), hepatic steatosis, and inflammation were seen in 24% (12/49), 31% (15/49), and 29% (14/49) of patients, respectively. The interobserver correlation was poor for D and D (0.105, 0.173) and moderate for f and ADC (0.461, 0.418). ANOVA showed a strong inverse association between D and liver fibrosis grade (p = 0.001). A weak inverse association was seen between ADC and hepatic steatosis (p = 0.059). Multivariate general linear model revealed that the only significant association between IVIM parameters and pathological features was between D and fibrosis. On ROC curve analysis, D < 23.4 × 10 mm/s had a sensitivity of 82.8% and a specificity of 64.3% in predicting high-grade fibrosis.
D has the strongest association with hepatic fibrosis but has weak interobserver correlation. IVIM parameters were not significantly associated with hepatic inflammation or steatosis.
探讨体素内不相干运动(IVIM)在评估慢性肝病患者肝纤维化、脂肪变性和炎症严重程度中的作用。
共纳入 49 例在 MRI 检查后 3 个月内行肝活检的患者。一名观察者在右肝叶内放置 1-2cm 的感兴趣区(ROI),并对其中前 20 例患者由第二名观察者进行评估。通过双指数模型拟合归一化信号强度,计算灌注分数(f)、假性扩散系数(D*)、真实扩散系数(D)和表观扩散系数(ADC)。采用模拟退火全局随机优化最小化模型误差。采用方差分析(ANOVA),并采用事后 Tukey-Kramer 检验和多元广义线性模型分析,以组织学发现为金标准。
最常见的肝病病因是丙型肝炎和酒精,共占患者的 76%(37/49)。24%(12/49)、31%(15/49)和 29%(14/49)的患者存在低级别纤维化(F0、F1)、肝脂肪变性和炎症。D和 D 的观察者间相关性较差(0.105、0.173),f 和 ADC 的观察者间相关性为中度(0.461、0.418)。ANOVA 显示 D与肝纤维化程度呈强负相关(p=0.001)。ADC 与肝脂肪变性呈弱负相关(p=0.059)。多元广义线性模型显示,IVIM 参数与病理特征之间唯一显著的相关性是 D与纤维化。在 ROC 曲线分析中,D<23.4×10mm/s 时,预测高级纤维化的敏感度为 82.8%,特异度为 64.3%。
D*与肝纤维化的相关性最强,但观察者间相关性较差。IVIM 参数与肝炎症或脂肪变性无显著相关性。