Share：
Share this content in WeChat
X
[Chinese][PDF]98465
• Technical Article •
Gd-EOB-DTPA-enhanced MRI for evaluation of hepatic reserve function:The value of hepatic signal intensity and histogram in hepatobiliary phase
LIAN Yuqing  XUE Xing  FENG Zhan  ZHENG Yan  CHEN Feng 

Cite this article as: Lian YQ, Xue X, Feng Z, et al. Gd-EOB-DTPA-enhanced MRI for evaluation of hepatic reserve function：The value of hepatic signal intensity and histogram in hepatobiliary phase[J]. Chin J Magn Reson Imaging, 2021, 12(10): 36-40. DOI:10.12015/issn.1674-8034.2021.10.008.


[Abstract] Objective To explore the value of hepatic signal intensity and histogram in hepatobiliary phase of Gd-EOB-DTPA-enhanced MRI in evaluating hepatic reserve function. Materials andMethods A retrospective analysis of the clinical and imaging data of 87 patients has been conducted in our hospital from January 2014 to June 2019. The patients were classified into three groups according to abnormal liver function, including Child-Pugh grade A (58 cases), Child-Pugh grade B (15 cases) and Child-Pugh grade C (1 case). The patients with normal liver function (13 cases) were used as control group. One-way analysis of variance and pairwise comparison were done to analyze the difference among different liver function groups by using the relative enhancement at hepatobiliary phase (REHBP) and the histogram parameters at hepatobiliary phase of Gd-EOB-DTPA-enhanced MRI. The receiver operating characteristic curve (ROC) was used to evaluate the diagnostic performance of REHBP and histogram parameters between two groups of Child-Pugh A and Child-Pugh B+C, and Spearman correlation analysis was used to analyze the correlation between REHBP, histogram parameters and indocyanine green retention rate at 15 min (ICG R15).Results A significant difference of REHBP, skewness, minimum, 5th, 10th, 15th, 20th percentile and 0.025th percentile was found among the three groups (P values were＜0.001,＜0.001, 0.015, 0.026, 0.029, 0.034, 0.039, 0.025, P＜0.05). There was no significant difference of those parameters between the normal liver function group and Child-Pugh A group (P values are 0.610, 0.400, 0.410, 0.550, 0.610, 0.620, 0.660, 0.550, P＞0.05). Significant differences were found between the normal liver function group and Child-Pugh B+C group (P values were 0.017,＜0.001, 0.013, 0.017, 0.027, 0.030, 0.033, 0.019, P＜0.05) as well as between Child-Pugh A group and Child-Pugh B+C group (P values were＜0.001,＜0.001, 0.013, 0.013, 0.012, 0.015, 0.015, 0.013, P＜0.05). The area under ROC curve (AUC) for REHBP, skewness, minimum, 5th, 10th, 15th, 20th percentile and 0.025th quantile were 0.778, 0.816, 0.713, 0.713, 0.715, 0.708, 0.709 and 0.713 respectively for discrimination between Child-Pugh A group and Child-Pugh B+C group. Among all patients, there was no significant correlation between REHBP, skewness and ICG R15 (P＞0.05). The minimum, 5th, 10th, 15th, 20th percentile and 0.025th quantile were negatively correlated with ICG R15 (r=-0.274 to -0.300, P＜0.05). In the group of ICG R15≥10%, REHBP, skewness, 5th, 10th percentile and 0.025th percentile were negatively correlated with ICG R15 (r=-0.390 to -0.594, P＜0.05), while in the group of ICG R15＜10%, no significant correlations were found between all parameters and ICG R15 (r=-0.027 to 0.153, P＞0.05).Conclusions The REHBP and histogram parameters at hepatobiliary phase of Gd-EOB-DTPA enhanced MRI may assess the liver reserve function. Compared to REHBP, the histogram parameters have higher correlation with ICG R15.
[Keywords] hepatic reserve function；indocyanine green；gadolinium-ethoxybenzyl diethylenetriamine pentaacetic acid；histogram analysis；magnetic resonance imaging

LIAN Yuqing1   XUE Xing1   FENG Zhan1   ZHENG Yan2   CHEN Feng1*  

1 Department of Radiology, the First Affiliated Hospital of Medical College of Zhejiang University, Hangzhou 310003, China

2 Department of Hepatobiliary surgery, the First Affiliated Hospital of Medical College of Zhejiang University, Hangzhou 310003, China

Chen F, E-mail: chenfenghz@zju.edu.cn

Conflicts of interest   None.

ACKNOWLEDGMENTS Public Fundamental Welfare Projects of Zhejiang Province (No.LSD19H180003).
Received  2021-05-07
Accepted  2021-07-02
DOI: 10.12015/issn.1674-8034.2021.10.008
Cite this article as: Lian YQ, Xue X, Feng Z, et al. Gd-EOB-DTPA-enhanced MRI for evaluation of hepatic reserve function：The value of hepatic signal intensity and histogram in hepatobiliary phase[J]. Chin J Magn Reson Imaging, 2021, 12(10): 36-40. DOI:10.12015/issn.1674-8034.2021.10.008.

[1]
Chinese Society of Hepatology, Chinese Medical Association. Consensus on the secondary prevention for primary liver cancer (2021 edition). J Clin Hepatol, 2021, 37(3): 532-542. DOI: 10.3969/j.issn.1001-5256.2021.03.008.
[2]
Dong JH, Zheng SS, Chen XP, et al. Consensus on evaluation of Hepatic functional reserve before hepatectomy (2011 edition). Chin J Digest Surgery, 2011, 10(1): 20-25. DOI: 10.3760/cma.j.issn.1673-9752.2011.01.006.
[3]
Haimerl M, Verloh N, Zeman F, et al. Gd-EOB-DTPA-enhanced MRI for evaluation of liver function: Comparison between signal-intensity-based indices and T1 relaxometry[J]. Sci Rep, 2017, 7: 43347. DOI: 10.1038/srep43347.
[4]
Yu HS, Touret AS, Li BJ, et al. Application of texture analysis on parametric T1 and T2 maps for detection of hepatic fibrosis[J]. J Magn Reson Imaging, 2017, 45(1): 250-259. DOI: 10.1002/jmri.25328.
[5]
Katsube T, Okada M, Kumano S, et al. Estimation of liver function using T1 mapping on Gd-EOB-DTPA-enhanced magnetic resonance imaging[J]. Invest Radiol, 2011, 46(4): 277-283. DOI: 10.1097/RLI.0b013e318200f67d.
[6]
Materne R, Smith AM, Peeters F, et al. Assessment of hepatic perfusion parameters with dynamic MRI[J]. Magn Reson Med, 2002, 47(1): 135-142. DOI: 10.1002/mrm.10045.
[7]
Lambin P, Rios-Velazquez E, Leijenaar R, et al. Radiomics: extracting more information from medical images using advanced feature analysis[J]. Eur J Cancer, 2012, 48(4): 441-446. DOI: 10.1016/j.ejca.2011.11.036.
[8]
Park HJ, Lee SS, Park B, et al. Radiomics Analysis of Gadoxetic Acid-enhanced MRI for Staging Liver Fibrosis[J]. Radiology, 2019, 292(1): 269. DOI: 10.1148/radiol.2019194012.
[9]
Ippolito D, Pecorelli A, Famularo S, et al. Assessing liver function: diagnostic efficacy of parenchymal enhancement and liver volume ratio of Gd-EOB-DTPA-enhanced MRI study during interstitial and hepatobiliary phase[J]. Abdom Radiol (NY), 2019, 44(4): 1340-1349. DOI: 10.1007/s00261-018-1812-9.
[10]
Liu MT, Lu J, Zhang XQ, et al. Evaluation of liver function with hepatocyte fraction based on Gd-EOB-DTPA-enhanced liver MRI. Chin Med Imaging Technol, 2020, 36(10): 1490-1494. DOI: 10.13929/j.issn.1003-3289.2020.10.012.
[11]
Yang YM, Liu YP, Zhou DJ, et al. Comparison study of Gd-EOB-DTPA enhanced MRI with Child-Pugh classification and serum indies in assessing liver function. Journal of Jinan University (Natural Science & Medicine Edition), 2018, 39(5): 442-448. DOI: 10.11778/j.jdxb.2018.05.010.
[12]
Zhou W, Hu HJ, Shen B, et al. Application Values of Gadolinium-ethoxybenzyl Diethylenetriaminepentaacetic Acid Enhanced Magnetic Resonance Imaging-based Radiomics in the Quantitative Assessment of Liver Reserve Function of Patients with Liver Cirrhosis. Acta Academiae Medicinae Sinicae, 2020, 42(4): 459-467. DOI: 10.3881/j.issn.1000-503X.12620.
[13]
Yokoo T, Wolfson T, Iwaisako K, et al. Evaluation of Liver Fibrosis Using Texture Analysis on Combined-Contrast-Enhanced Magnetic Resonance Images at 3.0T[J]. Biomed Res Int, 2015, 2015: 387653. DOI: 10.1155/2015/387653.
[14]
Wu Z, Matsui O, Kitao A, et al. Hepatitis C related chronic liver cirrhosis: feasibility of texture analysis of MR images for classification of fibrosis stage and necroinflammatory activity grade[J]. PLoS One, 2015, 10(3): e118297. DOI: 10.1371/journal.pone.0118297.
[15]
Venkatesh SK, Yin M, Takahashi N, et al. Non-invasive detection of liver fibrosis: MR imaging features vs.MR elastography[J]. Abdom Imaging, 2015, 40(4): 766-775. DOI: 10.1007/s00261-015-0347-6.
[16]
Zhu ZH, Xing W, Liu HF, et al. Study of Gd-EOB-DTPA T1 mapping in quantitatively staging hepatic fibrosis in a rabbit model. Chin J Magn Reson Imaging, 2020, 11(10): 890-895. DOI: 10.12015/issn.1674-8034.2020.10.011.
[17]
de Graaf W, Hausler S, Heger M, et al. Transporters involved in the hepatic uptake of (99m)Tc-mebrofenin and indocyanine green[J]. J Hepatol, 2011, 54(4): 738-745. DOI: 10.1016/j.jhep.2010.07.047.
[18]
Leonhardt M, Keiser M, Oswald S, et al. Hepatic uptake of the magnetic resonance imaging contrast agent Gd-EOB-DTPA: role of human organic anion transporters[J]. Drug Metab Dispos, 2010, 38(7): 1024-1028. DOI: 10.1124/dmd.110.032862.
[19]
Liang ML, Zhao J, Xie B, et al. MR liver imaging with Gd-EOB-DTPA: The need for different delay times of the hepatobiliary phase in patients with different liver function[J]. Eur J Radiol, 2016, 85(3): 546-552. DOI: 10.1016/j.ejrad.2015.12.015.
[20]
International Exchange Group of the Imaging Technology Branch of the Chinese Medical Association. Expert consensus on hepatobiliary specific contrast agent gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid enhanced MRI scanning scheme. Chin J Radiol, 2019, 53(12): 1040-1044. DOI: 10.3760/cma.j.issn.1005-1201.2019.12.005.
[21]
Chinese Medical Association Hepatology Branch, Chinese Medical Association Gastroenterology Branch, Chinese Medical Association Infectious Diseases Branch. Consensus on the diagnosis and therapy of hepatic fibrosis in 2019. Chin J Hepatol, 2019, 27(9): 657-667. DOI: 10.3760/cma.j.issn.1007-3418.2019.09.001.

PREV Combining machine learning with imaging omics characteristics based on DWI in predicting outcome after mechanical thrombectomy of acute stroke
NEXT Application value of intraoperative awakening combined with magnetic resonance neuronavigation system in brain tumor surgery in functional area
  


LINK


Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn