Literature DB >> 27235876

IVIM-diffusion-MRI for the differentiation of solid benign and malign hypervascular liver lesions-Evaluation with two different MR scanners.

Miriam Klauss1, Philipp Mayer2, Klaus Maier-Hein3, Frederik B Laun4, Arineb Mehrabi5, Hans-Ulrich Kauczor6, Bram Stieltjes7.   

Abstract

PURPOSE: Hepatocellular carcinoma (HCC) and focal nodular hyperplasia (FNH) as the most common malign and benign liver tumors are both hypervascularized and potentially difficult to differentiate. DWI in liver MRI has been shown to be helpful in the classification of liver lesions, although with a substantial ADC-values-overlap. First results suggest that IVIM allows for improved characterization of liver lesions. In this study we evaluated IVIM-derived parameters in HCC and FNH with two different MR-scanners.
MATERIAL AND METHODS: 72 patients (29 FNH, 43HCC) were examined prospectively using two 1.5 T-MRI scanners (Aera/MagnetomAvanto, Siemens, Germany). Quantitative analysis of IVIM-derived parameters and ADC800-values was performed independently by two radiologists. The concordance between the reviewers was tested using a Pearson-/Spearman-correlation. The mean values for significant differences between FNHs and HCCs and between the two MR scanners were compared using a two-tailed t-test/Mann-Whitney-U test. An ROC analysis assessing the diagnostic performance of the parameters was performed.
RESULTS: The concordance between the two f-, D- and D*-measurements were r=0.81, 0.81 and 0.84, and r=0.58 for ADC-values. D-values and ADC800-values were significantly lower in HCC compared to FNH (p<0.001), there was no significant difference for f and D*. D had the largest AUC (0.76) for the differentiation between the two entities. Most parameters were not significantly different between the two MRIs.
CONCLUSION: IVIM-derived D and ADC are comparable for the differentiation between HCC and FNH. Since ADC-measurement means less effort than IVIM, ADC should be used for the differentiation between the two entities. Furthermore, quantitative results obtained from different scanners match closely.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  DWI; FNH; HCC; IVIM; Reproducibility

Mesh:

Year:  2016        PMID: 27235876     DOI: 10.1016/j.ejrad.2016.04.011

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  15 in total

1.  IVIM improves preoperative assessment of microvascular invasion in HCC.

Authors:  Yi Wei; Zixing Huang; Hehan Tang; Liping Deng; Yuan Yuan; Jiaxing Li; Dongbo Wu; Xiaocheng Wei; Bin Song
Journal:  Eur Radiol       Date:  2019-03-15       Impact factor: 5.315

Review 2.  Liver intravoxel incoherent motion (IVIM) magnetic resonance imaging: a comprehensive review of published data on normal values and applications for fibrosis and tumor evaluation.

Authors:  Yáo T Li; Jean-Pierre Cercueil; Jing Yuan; Weitian Chen; Romaric Loffroy; Yì Xiáng J Wáng
Journal:  Quant Imaging Med Surg       Date:  2017-02

Review 3.  Diffusion-weighted MRI of the liver: challenges and some solutions for the quantification of apparent diffusion coefficient and intravoxel incoherent motion.

Authors:  Yi Xiang J Wang; Hua Huang; Cun-Jing Zheng; Ben-Heng Xiao; Olivier Chevallier; Wei Wang
Journal:  Am J Nucl Med Mol Imaging       Date:  2021-04-15

4.  Intravoxel incoherent motion: application in differentiation of hepatocellular carcinoma and focal nodular hyperplasia.

Authors:  Ma Luo; Ling Zhang; Xin Hua Jiang; Wei Dong Zhang
Journal:  Diagn Interv Radiol       Date:  2017 Jul-Aug       Impact factor: 2.630

Review 5.  Topics on quantitative liver magnetic resonance imaging.

Authors:  Yì Xiáng J Wáng; Xiaoqi Wang; Peng Wu; Yajie Wang; Weibo Chen; Huijun Chen; Jianqi Li
Journal:  Quant Imaging Med Surg       Date:  2019-11

6.  Intravoxel incoherent motion MR imaging of early cervical carcinoma: correlation between imaging parameters and tumor-stroma ratio.

Authors:  Xiangsheng Li; Ping Wang; Dechang Li; Hongxian Zhu; Limin Meng; Yunlong Song; Lizhi Xie; Jianping Zhu; Tao Yu
Journal:  Eur Radiol       Date:  2017-12-08       Impact factor: 5.315

7.  Intravoxel Incoherent Motion Diffusion-weighted Imaging: Evaluation of the Differentiation of Solid Hepatic Lesions.

Authors:  Ma Luo; Ling Zhang; Xin-Hua Jiang; Wei-Dong Zhang
Journal:  Transl Oncol       Date:  2017-09-08       Impact factor: 4.243

8.  Intrahepatic cholangiocarcinoma in the setting of HBV-related cirrhosis: Differentiation with hepatocellular carcinoma by using Intravoxel incoherent motion diffusion-weighted MR imaging.

Authors:  Yi Wei; Feifei Gao; Dandan Zheng; Zixing Huang; Min Wang; Fubi Hu; Chenyang Chen; Ting Duan; Jie Chen; Likun Cao; Bin Song
Journal:  Oncotarget       Date:  2017-12-26

Review 9.  Cancer Metabolism and Tumor Heterogeneity: Imaging Perspectives Using MR Imaging and Spectroscopy.

Authors:  Gigin Lin; Kayvan R Keshari; Jae Mo Park
Journal:  Contrast Media Mol Imaging       Date:  2017-10-09       Impact factor: 3.161

Review 10.  Meta-analysis of intravoxel incoherent motion magnetic resonance imaging in differentiating focal lesions of the liver.

Authors:  Hongzhen Wu; Yingying Liang; Xinqing Jiang; Xinhua Wei; Yu Liu; Weifeng Liu; Yuan Guo; Wenjie Tang
Journal:  Medicine (Baltimore)       Date:  2018-08       Impact factor: 1.817

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