Value of Texture Analysis on Gadoxetic Acid-enhanced MR for Detecting Liver Fibrosis in a Rat Model

Xu Jia; Wang Xuan; Jin Zhengyu; You Yan; Wang Qin; Wang Shitian; Xue Huadan

doi:10.24920/003562

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Value of Texture Analysis on Gadoxetic Acid-enhanced MR for Detecting Liver Fibrosis in a Rat Model

Chinese Medical Sciences Journal Vol. 34, Issue 1, Pages: 24-32(2019)

Original Articles | Updated：2024-04-10

- Value of Texture Analysis on Gadoxetic Acid-enhanced MR for Detecting Liver Fibrosis in a Rat Model
- Affiliations：
  
  1. Department of Radiology,Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
  2. Department of Pathology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
- Author bio：
  
  * Xuan Wang Tel: 86-10-69157438, E-mail: dr_wangxuan@163.com ;
  Zhengyu Jin Tel: 86-10-69155441, E-mail: jinzy_pumch@foxmail.com
- Funds：
- DOI：10.24920/003562
  CLC：
- Received：21 January 2019，
  
  Revised：11 March 2019，
  
  Published Online：30 March 2019，
  
  Published：30 March 2019
- Accepted：
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Xu Jia, Wang Xuan, Jin Zhengyu, et al. Value of Texture Analysis on Gadoxetic Acid-enhanced MR for Detecting Liver Fibrosis in a Rat Model[J]. Chinese medical sciences journal, 2019, 34(1): 24-32.
DOI：

Xu Jia, Wang Xuan, Jin Zhengyu, et al. Value of Texture Analysis on Gadoxetic Acid-enhanced MR for Detecting Liver Fibrosis in a Rat Model[J]. Chinese medical sciences journal, 2019, 34(1): 24-32. DOI： 10.24920/003562.

摘要

目的

对钆塞酸二钠增强磁共振T1 mapping成像以及T1加权成像(T1W)、T2加权成像(T2W)、表观扩散系数(ADC)图像进行纹理分析，探讨其在大鼠模型中定量评价肝纤维化的价值。

方法

采用四氯化碳腹腔注射法构建大鼠肝纤维化模型，打药时长4~12周(

=30)，在对照组中(

=10)注射等量生理盐水。磁共振扫描序列包括T2W，弥散加权成像，注射对比剂前后的T1W和T1 mapping系列图像。利用METAVIR分级将肝纤维化分为正常(F0)，轻度肝纤维化(F1~2)和重度肝纤维化(F3~4)。纹理特征参数包括平均灰度强度，标准差，熵，正象素均值、偏斜和峰度。采用非参数Mann-Whitney

检验比较各个序列的上述各项纹理参数在F0与F ≥ 1间、以及F0~2与F3~4间的差异。利用受试者工作特征曲线(ROC)分析纹理参数在区分正常肝组织和肝纤维化、F0~2和F3~4的诊断准确性，并获得ROC曲线下面积(AUC)以评价纹理参数的诊断价值。

结果

20只大鼠完成磁共振T1 mapping扫描，其病理结果为正常(F0，

=6)，轻度肝纤维化(F1~2，n=5) 和重度肝纤维化(F3~4，

=9)。在打药前T1 mapping图像中，在各个空间尺度因子(spatial scaling factor，SSF)下，F≥1组的熵值均显著大于F0组(

= 0.015，0.015，0.015，0.013，0.015，0.018，分别对应于SSF = 0，2，3，4，5，6)；在SSF 4，5，6下，F≥1组的平均灰度强度显著高于F0组(

= 0.004，0.006，0.013)。在区分正常和肝纤维化组时，打药前T1 mapping图像的熵和平均灰度强度在大多数SSF下，展现出中等诊断价值。

结论

部分钆塞酸二钠增强磁共振图像的纹理参数，特别是打药前T1 mapping图像的熵，对于肝纤维化的诊断具有一定价值。

Abstract

Objective

To explore the ability of texture analysis of gadoxetic acid-enhanced magnetic resonance imaging (MRI) T1 mapping images

as well as T1-weighted (T1W)

T2-weighted (T2W) and apparent diffusion coefficient (ADC) maps for distinguishing between varying degrees of hepatic fibrosis in an experimental rat model.

Methods

Liver fibrosis in rats was induced by carbon tetrachloride intraperitoneal injection for 4-12 weeks (

=30). In the control group (

=10) normal saline was applied. The MRI protocol contained T2W

diffusion weighted imaging

pre-and post-contrast image series of T1W and T1 mapping images. METAVIR score was used to grade liver fibrosis as normal (F0)

mild fibrosis (F1-2)

and advanced fibrosis (F3-4). Texture parameters including mean gray-level intensity (Mean)

standard deviation (SD)

Entropy

mean of positive pixels (MPP)

Skewness

and Kurtosis were obtained. Nonparametric Mann-Whitney

test was used to compare the average value of each texture parameter in each sequence for assessing the difference between F0 and F≥1 as well as F0-2 and F3-4. Receiver operating characteristic (ROC) curves were obtained to assess the diagnosing accuracy of the parameters for differentiating no liver fibrosis from liver fibrosis and rats with liver fibrosis grading F0-2 from those with grading F3-4. The area under ROC curve (AUC) was calculated to evaluate the diagnostic efficiency of texture parameters.

Results

Finally

20 rats completed MR T1 mapping image scan. The pathologic staging of these 20 rats was no fibrosis (F0

=6)

mild fibrosis (F1-2

=5) and advanced fibrosis (F3-4

=9). On pre-contrast T1 mapping image

Entropy was seen to be statistically significant higher in the F≥1 group than that in the F0 group at each spatial scaling factor (SSF) setting (

=0.015

0.015

0.013

0.015 and 0.018 respectively to SSF=0

and Mean of the F≥1 rats was statistically significant higher than that of the F0 rats at SSF 4

6 (

=0.004

0.006

and 0.013

respectively). Entropy and Mean showed a moderate diagnostic performance in most SSF settings of T1 mapping pre-contrast images for differentiation of normal liver from liver fibrosis.

Conclusion

Certain texture features of gadoxetic acid-enhanced MR images

especially the Entropy of non-contrast T1 mapping image

was found to be a useful biomarker for the diagnosis of liver fibrosis.

关键词

Keywords

references

Afdhal NH , Nunes D . Evaluation of liver fibrosis: a concise review . Am J Gastroenterol 2004 ; 99 ( 6 ): 1160 - 74 . doi: 10.1111/j.1572-0241.2004.30110.x 10.1111.j.1572-0241.2004.30110.x . DOI: 10.1111/j.1572-0241.2004.30110.x http://doi.org/10.1111/j.1572-0241.2004.30110.x http://www.blackwell-synergy.com/toc/ajg/99/6 http://www.blackwell-synergy.com/toc/ajg/99/6

Nguyen D , Talwalkar JA . Noninvasive assessment of liver fibrosis . Hepatology 2011 ; 53 ( 6 ): 2107 - 10 . doi: 10.1002/hep.24401 10.1002.hep.24401 . DOI: 10.1002/hep.24013 http://doi.org/10.1002/hep.24013 http://doi.wiley.com/10.1002/hep.24401 http://doi.wiley.com/10.1002/hep.24401

Lubner MG , Smith AD , Sandrasegaran K , et al . CT texture analysis: definitions, applications, biologic correlates, and challenges . RadioGraphics 2017 ; 37 ( 5 ): 1483 - 503 . doi: 10.1148/rg.2017170056 10.1148.rg.2017170056 . DOI: 10.1148/rg.2017170056 http://doi.org/10.1148/rg.2017170056 http://pubs.rsna.org/doi/10.1148/rg.2017170056 http://pubs.rsna.org/doi/10.1148/rg.2017170056

Fujimoto K , Tonan T , Azuma S , et al . Evaluation of the mean and entropy of apparent diffusion coefficient values in chronic hepatitis C: correlation with pathologic fibrosis stage and inflammatory activity grade . Radiology 2011 ; 258 ( 3 ): 739 - 48 . doi: 10.1148/radiol.10100853 10.1148.radiol.10100853 . DOI: 10.1148/radiol.10100853 http://doi.org/10.1148/radiol.10100853 http://pubs.rsna.org/doi/10.1148/radiol.10100853 http://pubs.rsna.org/doi/10.1148/radiol.10100853

Barry B , Buch K , Soto JA , et al . Quantifying liver fibrosis through the application of texture analysis to diffusion weighted imaging . Magn Reson Imaging 2014 ; 32 ( 1 ): 84 - 90 . doi: 10.1016/j.mri.2013.04.006 10.1016.j.mri.2013.04.006 . DOI: 10.1016/j.mri.2013.04.006 http://doi.org/10.1016/j.mri.2013.04.006 https://linkinghub.elsevier.com/retrieve/pii/S0730725X13001409 https://linkinghub.elsevier.com/retrieve/pii/S0730725X13001409

Bahl G , Cruite I , Wolfson T , et al . Noninvasive classification of hepatic fibrosis based on texture parameters from double contrast-enhanced magnetic resonance images . J Magn Reson Imaging 2012 ; 36 ( 5 ): 1154 - 61 . doi: 10.1002/jmri.23759 10.1002.jmri.23759 . DOI: 10.1002/jmri.23759 http://doi.org/10.1002/jmri.23759 http://doi.wiley.com/10.1002/jmri.v36.5 http://doi.wiley.com/10.1002/jmri.v36.5

Jirák D , Dezortová M , Taimr P , et al . Texture analysis of human liver . J Magn Reson Imaging 2002 ; 15 ( 1 ): 68 - 74 . DOI: 10.1002/jmri.10042 http://doi.org/10.1002/jmri.10042 http://doi.wiley.com/10.1002/jmri.v15%3A1 http://doi.wiley.com/10.1002/jmri.v15%3A1

Katsube T , Okada M , Kumano S , et al . Estimation of liver function using T1 mapping on Gd-EOB-DTPA-enhanced magnetic resonance imaging . Invest Radiol 2011 ; 46 ( 4 ): 277 - 83 . doi: 10.1097/RLI.0b013e318200f67d 10.1097.RLI.0b013e318200f67d . DOI: 10.1097/RLI.0b013e3182804f84 http://doi.org/10.1097/RLI.0b013e3182804f84 https://insights.ovid.com/crossref?an=00004424-201104000-00009 https://insights.ovid.com/crossref?an=00004424-201104000-00009

Zhou ZP , Long LL , Huang LJ , et al . Gd-EOB-DTPA-enhanced MRI T1 mapping for assessment of liver function in rabbit fibrosis model: comparison of hepatobiliary phase images obtained at 10 and 20 min . Radiol Med 2017 ; 122 ( 4 ): 239 - 47 . doi: 10.1007/s11547-016-0719-1 10.1007.s11547-016-0719-1 . DOI: 10.1007/s11547-016-0719-1 http://doi.org/10.1007/s11547-016-0719-1 http://link.springer.com/10.1007/s11547-016-0719-1 http://link.springer.com/10.1007/s11547-016-0719-1

Zhou ZP , Long LL , Qiu WJ , et al . Comparison of 10- and 20-min hepatobiliary phase images on Gd-EOB-DTPA-enhanced MRI T1 mapping for liver function assessment in clinic . Abdom Radiol (NY) 2017 ; 42 ( 9 ): 2272 - 8 . doi: 10.1007/s00261-017-1143-2 10.1007.s00261-017-1143-2 . DOI: 10.1007/s00261-017-1143-2 http://doi.org/10.1007/s00261-017-1143-2 http://link.springer.com/10.1007/s00261-017-1143-2 http://link.springer.com/10.1007/s00261-017-1143-2

Ding Y , Rao SX , Zhu T , et al . Liver fibrosis staging using T1 mapping on gadoxetic acid-enhanced MRI compared with DW imaging . Clin Radiol 2015 ; 70 ( 10 ): 1096 - 103 . doi: 10.1016/j.crad.2015.04.014 10.1016.j.crad.2015.04.014 . DOI: 10.1016/j.crad.2015.04.014 http://doi.org/10.1016/j.crad.2015.04.014 https://linkinghub.elsevier.com/retrieve/pii/S0009926015001592 https://linkinghub.elsevier.com/retrieve/pii/S0009926015001592

Pan S , Wang XQ , Guo QY . Quantitative assessment of hepatic fibrosis in chronic hepatitis B and C: T1 mapping on Gd-EOB-DTPA-enhanced liver magnetic resonance imaging . WJG 2018 ; 24 ( 18 ): 2024 - 35 . doi: 10.3748/wjg.v24.i18.2024 10.3748.wjg.v24.i18.2024 . DOI: 10.3748/wjg.v24.i18.2024 http://doi.org/10.3748/wjg.v24.i18.2024 http://www.wjgnet.com/1007-9327/full/v24/i18/2024.htm http://www.wjgnet.com/1007-9327/full/v24/i18/2024.htm

Intraobserver and interobserver variations in liver biopsy interpretation in patients with chronic hepatitis C . The French METAVIR Cooperative Study Group . Hepatology 1994 ; 20 ( 1 Pt 1 ): 15 - 20 . DOI: 10.1002/(ISSN)1527-3350 http://doi.org/10.1002/(ISSN)1527-3350 http://doi.wiley.com/10.1002/%28ISSN%291527-3350 http://doi.wiley.com/10.1002/%28ISSN%291527-3350

Ganeshan B , Miles KA . Quantifying tumour heterogeneity with CT . Cancer Imaging 2013 ; 13 ( 1 ): 140 - 9 . doi: 10.1102/1470-7330.2013.0015 10.1102.1470-7330.2013.0015 . DOI: 10.1102/1470-7330.2013.0015 http://doi.org/10.1102/1470-7330.2013.0015 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3613789/ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3613789/

Lubner MG , Malecki K , Kloke J , et al . Texture analysis of the liver at MDCT for assessing hepatic fibrosis . Abdom Radiol (NY) 2017 ; 42 ( 8 ): 2069 - 78 . doi: 10.1007/s00261-017-1096-5 10.1007.s00261-017-1096-5 . DOI: 10.1007/s00261-017-1096-5 http://doi.org/10.1007/s00261-017-1096-5 http://link.springer.com/10.1007/s00261-017-1096-5 http://link.springer.com/10.1007/s00261-017-1096-5

Raman SP , Schroeder JL , Huang P , et al . Preliminary data using computed tomography texture analysis for the classification of hypervascular liver lesions: generation of a predictive model on the basis of quantitative spatial frequency measurements—a work in progress . J Comput Assist Tomogr 2015 ; 39 ( 3 ): 383 - 95 . doi: 10.1097/RCT.0000000000000217 10.1097.RCT.0000000000000217 . DOI: 10.1097/RCT.0000000000000217 http://doi.org/10.1097/RCT.0000000000000217 http://europepmc.org/abstract/med/25700222 http://europepmc.org/abstract/med/25700222

Cannella R , Rangaswamy B , Minervini MI , et al . Value of texture analysis on gadoxetic acid-enhanced MRI for differentiating hepatocellular adenoma from focal nodular hyperplasia . AJR Am J Roentgenol 2019 ; 212 ( 3 ): 538 - 46 . doi: 10.2214/AJR.18.20182 10.2214.AJR.18.20182 . DOI: 10.2214/AJR.18.20182 http://doi.org/10.2214/AJR.18.20182 https://www.ajronline.org/doi/10.2214/AJR.18.20182 https://www.ajronline.org/doi/10.2214/AJR.18.20182

Mulé S , Thiefin G , Costentin C , et al . Advanced hepatocellular carcinoma: pretreatment contrast-enhanced CT texture parameters as predictive biomarkers of survival in patients treated with sorafenib . Radiology 2018 ; 288 ( 2 ): 445 - 55 . doi: 10.1148/radiol.2018171320 10.1148.radiol.2018171320 . DOI: 10.1148/radiol.2018171320 http://doi.org/10.1148/radiol.2018171320 http://pubs.rsna.org/doi/10.1148/radiol.2018171320 http://pubs.rsna.org/doi/10.1148/radiol.2018171320

Chen S , Zhu Y , Liu Z , et al . Texture analysis of baseline multiphasic hepatic computed tomography images for the prognosis of single hepatocellular carcinoma after hepatectomy: a retrospective pilot study . Eur J Radiol 2017 ; 90 : 198 - 204 . doi: 10.1016/j.ejrad.2017.02.035 10.1016.j.ejrad.2017.02.035 . DOI: 10.1016/j.ejrad.2017.02.035 http://doi.org/10.1016/j.ejrad.2017.02.035 https://linkinghub.elsevier.com/retrieve/pii/S0720048X17300876 https://linkinghub.elsevier.com/retrieve/pii/S0720048X17300876

Canellas R , Mehrkhani F , Patino M , et al . Characterization of portal vein thrombosis (neoplastic versus bland) on CT images using software-based texture analysis and thrombus density (Hounsfield Units) . AJR Am J Roentgenol 2016 ; 207 ( 5 ): W81 - 7 . doi: 10.2214/AJR.15.15928 10.2214.AJR.15.15928 . DOI: 10.2214/AJR.15.15928 http://doi.org/10.2214/AJR.15.15928 http://www.ajronline.org/doi/10.2214/AJR.15.15928 http://www.ajronline.org/doi/10.2214/AJR.15.15928

Sadot E , Simpson AL , Do RKG , et al . Cholangiocarcinoma: correlation between molecular profiling and imaging phenotypes . PLoS One 2015 ; 10 ( 7 ): e0132953 . doi: 10.1371/journal.pone.0132953 10.1371.journal.pone.0132953 . DOI: 10.1371/journal.pone.0132953 http://doi.org/10.1371/journal.pone.0132953 http://dx.plos.org/10.1371/journal.pone.0132953 http://dx.plos.org/10.1371/journal.pone.0132953

Daginawala N , Li B , Buch K , et al . Using texture analyses of contrast enhanced CT to assess hepatic fibrosis . Eur J Radiol 2016 ; 85 ( 3 ): 511 - 7 . doi: 10.1016/j.ejrad.2015.12.009 10.1016.j.ejrad.2015.12.009 . DOI: 10.1016/j.ejrad.2015.12.009 http://doi.org/10.1016/j.ejrad.2015.12.009 https://linkinghub.elsevier.com/retrieve/pii/S0720048X15301947 https://linkinghub.elsevier.com/retrieve/pii/S0720048X15301947

Romero-Gómez M , Gómez-González E , Madrazo A , et al . Optical analysis of computed tomography images of the liver predicts fibrosis stage and distribution in chronic hepatitis C . Hepatology 2008 ; 47 ( 3 ): 810 - 6 . doi: 10.1002/hep.22112 10.1002.hep.22112 . DOI: 10.1002/hep.22112 http://doi.org/10.1002/hep.22112 http://doi.wiley.com/10.1002/hep.22112 http://doi.wiley.com/10.1002/hep.22112

Zhang X , Gao X , Liu BJ , et al . Effective staging of fibrosis by the selected texture features of liver: which one is better, CT or MR imaging ? Comput Med Imaging Graph 2015 ; 46 Pt 2: 227 - 36 . doi: 10.1016/j.compmedimag.2015.09.003 10.1016.j.com . DOI: 10.1016/j.compmedimag.2015.09.003 http://doi.org/10.1016/j.compmedimag.2015.09.003 http://europepmc.org/abstract/MED/26455963 http://europepmc.org/abstract/MED/26455963

Jirák D , Dezortová M , Taimr P , et al . Texture analysis of human liver . J Magn Reson Imaging 2002 ; 15 ( 1 ): 68 - 74 .

Lubner MG , Stabo N , Lubner SJ , et al . CT textural analysis of hepatic metastatic colorectal cancer: pre-treatment tumor heterogeneity correlates with pathology and clinical outcomes . Abdom Imaging 2015 ; 40 ( 7 ): 2331 - 7 . doi: 10.1007/s00261-015-0438-4 10.1007.s00261-015-0438-4 . DOI: 10.1007/s00261-015-0438-4 http://doi.org/10.1007/s00261-015-0438-4 http://link.springer.com/10.1007/s00261-015-0438-4 http://link.springer.com/10.1007/s00261-015-0438-4

Ng F , Kozarski R , Ganeshan B , et al . Assessment of tumor heterogeneity by CT texture analysis: can the largest cross-sectional area be used as an alternative to whole tumor analysis? Eur J Radiol 2013 ; 82 ( 2 ): 342 - 8 . doi: 10.1016/j.ejrad.2012.10.023 10.1016.j.ejrad.2012.10.023 . DOI: 10.1016/j.ejrad.2012.10.023 http://doi.org/10.1016/j.ejrad.2012.10.023 https://linkinghub.elsevier.com/retrieve/pii/S0720048X12005359 https://linkinghub.elsevier.com/retrieve/pii/S0720048X12005359

Yoon JH , Lee JM , Paek M , et al . Quantitative assessment of hepatic function: modified look-locker inversion recovery (MOLLI) sequence for T1 mapping on Gd-EOB-DTPA-enhanced liver MR imaging . Eur Radiol 2016 ; 26 ( 6 ): 1775 - 82 . doi: 10.1007/s00330-015-3994-7 10.1007.s00330-015-3994-7 . DOI: 10.1007/s00330-015-3994-7 http://doi.org/10.1007/s00330-015-3994-7 http://link.springer.com/10.1007/s00330-015-3994-7 http://link.springer.com/10.1007/s00330-015-3994-7

Yoon JH , Lee JM , Kang H-J , et al . Quantitative assessment of liver function by using gadoxetic acid-enhanced MRI: hepatocyte uptake ratio . Radiology 2019 ; 290 ( 1 ): 125 - 33 . doi: 10.1148/radiol.2018180753 10.1148.radiol.2018180753 . DOI: 10.1148/radiol.2018180753 http://doi.org/10.1148/radiol.2018180753 http://pubs.rsna.org/doi/10.1148/radiol.2018180753 http://pubs.rsna.org/doi/10.1148/radiol.2018180753

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