Lefebvre Thierry, Hébert Mélanie, Bilodeau Laurent, Sebastiani Giada, Cerny Milena, Olivié Damien, Gao Zu-Hua, Sylvestre Marie-Pierre, Cloutier Guy, Nguyen Bich N, Gilbert Guillaume, Tang An
Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montréal, Canada.
Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada.
Eur Radiol. 2021 Mar;31(3):1347-1358. doi: 10.1007/s00330-020-07203-y. Epub 2020 Sep 2.
To evaluate the diagnostic performance of intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) for grading hepatic inflammation.
In this retrospective cross-sectional dual-center study, 91 patients with chronic liver disease were recruited between September 2014 and September 2018. Patients underwent 3.0-T MRI examinations within 6 weeks from a liver biopsy. IVIM parameters, perfusion fraction (f), diffusion coefficient (D), and pseudo-diffusion coefficient (D*), were estimated using a voxel-wise nonlinear regression on DWI series (10 b-values from 0 to 800 s/mm). The reference standard was histopathological analysis of hepatic inflammation grade, steatosis grade, and fibrosis stage. Intraclass correlation coefficients (ICC), univariate and multivariate correlation analyses, and areas under receiver operating characteristic curves (AUC) were assessed.
Parameters f, D, and D* had ICCs of 0.860, 0.839, and 0.916, respectively. Correlations of f, D, and D* with inflammation grade were ρ = - 0.70, p < 0.0001; ρ = 0.10, p = 0.35; and ρ = - 0.27, p = 0.010, respectively. When adjusting for fibrosis and steatosis, the correlation between f and inflammation (p < 0.0001) remained, and that between f and fibrosis was also significant to a lesser extent (p = 0.002). AUCs of f, D, and D* for distinguishing inflammation grades 0 vs. ≥ 1 were 0.84, 0.53, and 0.70; ≤ 1 vs. ≥ 2 were 0.88, 0.57, and 0.60; and ≤ 2 vs. 3 were 0.86, 0.54, and 0.65, respectively.
Perfusion fraction f strongly correlated, D very weakly correlated, and D* weakly correlated with inflammation. Among all IVIM parameters, f accurately graded inflammation and showed promise as a biomarker of hepatic inflammation.
• IVIM parameters derived from DWI series with 10 b-values are reproducible for liver tissue characterization. • This retrospective two-center study showed that perfusion fraction provided good diagnostic performance for distinguishing dichotomized grades of inflammation. • Fibrosis is a significant confounder on the association between inflammation and perfusion fraction.
评估体素内不相干运动(IVIM)扩散加权成像(DWI)对肝炎症分级的诊断性能。
在这项回顾性横断面双中心研究中,于2014年9月至2018年9月招募了91例慢性肝病患者。患者在肝活检后6周内接受3.0-T磁共振成像(MRI)检查。使用对DWI序列(10个从0至800 s/mm的b值)进行体素级非线性回归来估计IVIM参数,即灌注分数(f)、扩散系数(D)和伪扩散系数(D*)。参考标准为肝炎症分级、脂肪变性分级和纤维化分期的组织病理学分析。评估组内相关系数(ICC)、单变量和多变量相关分析以及受试者操作特征曲线下面积(AUC)。
参数f、D和D的ICC分别为0.860、0.839和0.916。f、D和D与炎症分级的相关性分别为ρ = -0.70,p < 0.0001;ρ = 0.10,p = 0.35;以及ρ = -0.27,p = 0.010。在对纤维化和脂肪变性进行校正后,f与炎症之间的相关性(p < 0.0001)仍然存在,并且f与纤维化之间的相关性在较小程度上也具有显著性(p = 0.002)。f、D和D*区分炎症分级0与≥1的AUC分别为0.84、0.53和0.70;≤1与≥2的AUC分别为0.88、0.57和0.60;以及≤2与3的AUC分别为0.86、0.54和0.65。
灌注分数f与炎症呈强相关,D与之呈非常弱的相关,D*与之呈弱相关。在所有IVIM参数中,f能准确对炎症进行分级,并有望作为肝炎症的生物标志物。
• 从具有10个b值的DWI序列得出的IVIM参数对于肝组织特征具有可重复性。• 这项回顾性双中心研究表明,灌注分数在区分二分法炎症分级方面具有良好的诊断性能。• 纤维化是炎症与灌注分数之间关联的一个显著混杂因素。