Literature DB >> 22819175

Assessment of hepatocellular carcinoma using apparent diffusion coefficient and diffusion kurtosis indices: preliminary experience in fresh liver explants.

Andrew B Rosenkrantz1, Eric E Sigmund, Aaron Winnick, Benjamin E Niver, Bradley Spieler, Glyn R Morgan, Cristina H Hajdu.   

Abstract

OBJECTIVES: The objective was to perform ex vivo evaluation of non-Gaussian diffusion kurtosis imaging (DKI) for assessment of hepatocellular carcinoma (HCC), including presence of treatment-related necrosis, using fresh liver explants.
METHODS: Twelve liver explants underwent 1.5-T magnetic resonance imaging using a DKI sequence with maximal b-value of 2000 s/mm(2). A standard monoexponential fit was used to calculate apparent diffusion coefficient (ADC), and a non-Gaussian kurtosis fit was used to calculate K, a measure of excess kurtosis of diffusion, and D, a corrected diffusion coefficient accounting for this non-Gaussian behavior. The mean value of these parameters was measured for 16 HCCs based upon histologic findings. For each metric, HCC-to-liver contrast was calculated, and coefficient of variation (CV) was computed for voxels within the lesion as an indicator of heterogeneity. A single hepatopathologist determined HCC necrosis and cellularity.
RESULTS: The 16 HCCs demonstrated intermediate-to-substantial excess diffusional kurtosis, and mean corrected diffusion coefficient D was 23% greater than mean ADC (P=.002). HCC-to-liver contrast and CV of HCC were greater for K than ADC or D, although these differences were significant only for CV of HCCs (P≤.046). ADC, D and K all showed significant differences between non-, partially and completely necrotic HCCs (P≤.004). Among seven nonnecrotic HCCs, cellularity showed a strong inverse correlation with ADC (r=-0.80), a weaker inverse correlation with D (-0.24) and a direct correlation with K (r=0.48).
CONCLUSIONS: We observed non-Gaussian diffusion behavior for HCCs ex vivo; this DKI model may have added value in HCC characterization in comparison with a standard monoexponential model of diffusion-weighted imaging.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22819175     DOI: 10.1016/j.mri.2012.04.020

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  28 in total

1.  Comparison of image sensitivity between conventional tensor-based and fast diffusion kurtosis imaging protocols in a rodent model of acute ischemic stroke.

Authors:  Yin Wu; Jinsuh Kim; Suk-Tak Chan; Iris Yuwen Zhou; Yingkun Guo; Takahiro Igarashi; Hairong Zheng; Gang Guo; Phillip Zhe Sun
Journal:  NMR Biomed       Date:  2016-02-26       Impact factor: 4.044

2.  Diffusion kurtosis imaging in the characterisation of rectal cancer: utilizing the most repeatable region-of-interest strategy for diffusion parameters on a 3T scanner.

Authors:  Yiqun Sun; Qin Xiao; Feixiang Hu; Caixia Fu; Huixun Jia; Xu Yan; Chao Xin; Sanjun Cai; Weijun Peng; Xiaolin Wang; Tong Tong; Yajia Gu
Journal:  Eur Radiol       Date:  2018-05-24       Impact factor: 5.315

3.  Staging liver fibrosis with DWI: is there an added value for diffusion kurtosis imaging?

Authors:  Li Yang; Shengxiang Rao; Wentao Wang; Caizhong Chen; Ying Ding; Chun Yang; Robert Grimm; Xu Yan; Caixia Fu; Mengsu Zeng
Journal:  Eur Radiol       Date:  2018-01-30       Impact factor: 5.315

Review 4.  Advanced imaging techniques in the therapeutic response of transarterial chemoembolization for hepatocellular carcinoma.

Authors:  Ke Yang; Xiao-Ming Zhang; Lin Yang; Hao Xu; Juan Peng
Journal:  World J Gastroenterol       Date:  2016-05-28       Impact factor: 5.742

5.  Assessment of chemotherapy response in non-Hodgkin lymphoma involving the neck utilizing diffusion kurtosis imaging: a preliminary study.

Authors:  Rui Wu; Shi Teng Suo; Lian Ming Wu; Qiu Ying Yao; Hong Xia Gong; Jian Rong Xu
Journal:  Diagn Interv Radiol       Date:  2017 May-Jun       Impact factor: 2.630

Review 6.  Diffusion-weighted imaging of the liver: techniques and applications.

Authors:  Sara Lewis; Hadrien Dyvorne; Yong Cui; Bachir Taouli
Journal:  Magn Reson Imaging Clin N Am       Date:  2014-08       Impact factor: 2.266

7.  Validation of fast diffusion kurtosis MRI for imaging acute ischemia in a rodent model of stroke.

Authors:  Phillip Zhe Sun; Yu Wang; Emiri Mandeville; Suk-Tak Chan; Eng H Lo; Xunming Ji
Journal:  NMR Biomed       Date:  2014-09-10       Impact factor: 4.044

8.  Diffusion kurtosis imaging (DKI) of hepatocellular carcinoma: correlation with microvascular invasion and histologic grade.

Authors:  Likun Cao; Jie Chen; Ting Duan; Min Wang; Hanyu Jiang; Yi Wei; Chunchao Xia; Xiaoyue Zhou; Xu Yan; Bin Song
Journal:  Quant Imaging Med Surg       Date:  2019-04

9.  Advances in Diffusion and Perfusion MRI for Quantitative Cancer Imaging.

Authors:  Mehran Baboli; Jin Zhang; Sungheon Gene Kim
Journal:  Curr Pathobiol Rep       Date:  2019-12-02

10.  Evaluation of intratumoral heterogeneity by using diffusion kurtosis imaging and stretched exponential diffusion-weighted imaging in an orthotopic hepatocellular carcinoma xenograft model.

Authors:  Ran Guo; Shuo-Hui Yang; Fang Lu; Zhi-Hong Han; Xu Yan; Cai-Xia Fu; Meng-Long Zhao; Jiang Lin
Journal:  Quant Imaging Med Surg       Date:  2019-09
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