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体素内不相干运动磁共振成像用于肝纤维化评估的初步研究。

Intravoxel incoherent motion MRI for liver fibrosis assessment: a pilot study.

作者信息

Chung Sae Rom, Lee Seung Soo, Kim Namkug, Yu Eun Sil, Kim Eunki, Kühn Bernd, Kim In Seong

机构信息

Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.

Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea

出版信息

Acta Radiol. 2015 Dec;56(12):1428-36. doi: 10.1177/0284185114559763. Epub 2014 Nov 20.

Abstract

BACKGROUND

There has been a growing need for an imaging method for the accurate diagnosis and staging of liver fibrosis as a non-invasive alternative to liver biopsy.

PURPOSE

To evaluate the feasibility of intra-voxel incoherent motion (IVIM) imaging for classifying the severity of liver fibrosis.

MATERIAL AND METHODS

Fifty-seven patients who underwent navigator-triggered, diffusion-weighted imaging (DWI) of the liver on a 1.5-T system using nine b-values and had a reliable reference standard for the diagnosis of liver fibrosis (histopathologic findings [n = 27] or clinical findings for normal [n = 18] or cirrhotic liver [n = 12]), were included in our study. Liver apparent diffusion coefficient (ADC), pure diffusion (Dslow), perfusion fraction (f), and perfusion-related diffusion (Dfast), and the product f · Dfast were compared with the liver fibrosis stages (F). The accuracies of these parameters in diagnosing severe liver fibrosis (F ≥3) were evaluated using the receiver-operating characteristic (ROC) curve analysis.

RESULTS

The liver fibrosis stages had the strongest negative correlation with f · Dfast (ρ = -0.52). All of the parameters, except for Dslow, were significantly lower in patients with F ≥3 than in those with F ≤2 (P ≤ 0.001). The area under the ROC curve for diagnosing severe fibrosis was the largest for f · Dfast (0.844) with an overall accuracy of 79.0% (45/57) at the optimal cutoff value and followed by f (0.834), Dfast (0.773), ADC (0.762), and Dslow (0.656).

CONCLUSION

IVIM imaging is a promising method for classifying the severity of liver fibrosis, with the product f · Dfast being the most accurate parameter.

摘要

背景

作为肝活检的非侵入性替代方法,对用于肝纤维化准确诊断和分期的成像方法的需求日益增长。

目的

评估体素内不相干运动(IVIM)成像对肝纤维化严重程度进行分类的可行性。

材料与方法

57例患者在1.5-T系统上使用9个b值进行了肝脏导航触发扩散加权成像(DWI),且有可靠的肝纤维化诊断参考标准(组织病理学结果[n = 27]或正常[n = 18]或肝硬化肝脏[n = 12]的临床结果),纳入本研究。比较肝脏表观扩散系数(ADC)、纯扩散(Dslow)、灌注分数(f)、灌注相关扩散(Dfast)以及乘积f·Dfast与肝纤维化分期(F)。使用受试者操作特征(ROC)曲线分析评估这些参数在诊断重度肝纤维化(F≥3)方面的准确性。

结果

肝纤维化分期与f·Dfast的负相关性最强(ρ = -0.52)。除Dslow外,所有参数在F≥3的患者中均显著低于F≤2的患者(P≤0.001)。诊断重度纤维化的ROC曲线下面积,f·Dfast最大(0.844),在最佳截断值时总体准确率为79.0%(45/57),其次是f(0.834)、Dfast(0.773)、ADC(0.762)和Dslow(0.656)。

结论

IVIM成像是一种对肝纤维化严重程度进行分类的有前景的方法,其中乘积f·Dfast是最准确的参数。

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