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The value of IVIM-DWI combined with Gd-EOB-DTPA enhanced MRI in prediction of hepatocellular carcinoma microvascular invasion
LI Xiaofeng  ZHUANG Yuxiang  ZHOU Xinjie  ZHOU Daiquan  KUANG Lianqin  ZENG Yan 

Cite this article as: Li XF, Zhuang YX, Zhou XJ, et al. The value of IVIM-DWI combined with Gd-EOB-DTPA enhanced MRI in prediction of hepatocellular carcinoma microvascular invasion[J]. Chin J Magn Reson Imaging, 2021, 12(12): 75-78, 88. DOI:10.12015/issn.1674-8034.2021.12.015.


[Abstract] Objective To explore the predictive value of intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) combined with Gd-EOB-DTPA enhanced MRI images for hepatocellular carcinoma (HCC) microvascular invasion (MVI). Materials and Methods: The MRI images and clinical data of 57 patients with HCC confirmed by pathology were analyzed retrospectively. Standard ADC value, D value, D* value, f value, relative enhancement (RE) rate and imaging characteristics were analyzed. Chi-square test, t test, and U test were used in the comparison between groups. Multivariate logistic regression analysis was performed on the variables with differences. ROC curves were used to compare the diagnostic efficacy of predicting significant indicators of MVI.Results There were significant differences in tumor size, margin, peritumor enhancement in arterial phase and D value between MVI positive group and negative group (P<0.05), among which D value had the best diagnostic efficacy (AUC 0.849, sensitivity 75.0% and specificity 81.1%). Multivariate Logistic regression analysis showed that tumor size, arterial peritumor enhancement and D value were independent risk factors for MVI. ROC curve analysis showed that the combination of D value and arterial tumor enhancement had the highest diagnostic efficacy in predicting MVI (AUC 0.879, sensitivity 86.5% and specificity 80.0%).Conclusions The combination of D value and arterial periodical enhancement can improve the accuracy of predicting MVI. The smaller the D value is, the more likely the HCC with periodical enhancement is to have MVI.
[Keywords] hepatocellular carcinoma;microvascular invasion;magnetic resonance imaging;diffusion weighted imaging;Gd-EOB-DTPA

LI Xiaofeng   ZHUANG Yuxiang   ZHOU Xinjie   ZHOU Daiquan   KUANG Lianqin   ZENG Yan*  

Department of Radiology, the Third Affiliated Hospital of Chongqing Medical University, Chongqing 401120

Zeng Y, E-mail: zengyan@cqmu.edu.cn

Conflicts of interest   None.

Received  2021-06-03
Accepted  2021-07-12
DOI: 10.12015/issn.1674-8034.2021.12.015
Cite this article as: Li XF, Zhuang YX, Zhou XJ, et al. The value of IVIM-DWI combined with Gd-EOB-DTPA enhanced MRI in prediction of hepatocellular carcinoma microvascular invasion[J]. Chin J Magn Reson Imaging, 2021, 12(12): 75-78, 88. DOI:10.12015/issn.1674-8034.2021.12.015.

[1]
Bray F, Ferlay J, Soerjomataram I, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. CA Cancer J Clin, 2018, 68(6): 394-424. DOI: 10.3322/caac.21492.
[2]
Ayuso C, Rimola J, Vilana R, et al. Diagnosis and staging of hepatocellular carcinoma (HCC): current guidelines[J]. Eur J Radiol, 2018, 101: 72-81. DOI: 10.1016/j.ejrad.2018.01.025.
[3]
Erstad DJ, Tanabe KK. Prognostic and therapeutic implications of microvascular invasion inhepatocellular carcinoma[J]. Ann Surg Oncol, 2019, 26(5): 1474-1493. DOI: 10.1245/s10434-019-07227-9.
[4]
Ryu T, Takami Y, Wada Y, et al. A clinical scoring system for predicting microvascular invasion in patients with hepatocellular carcinoma within the Milan criteria[J]. J Gastrointest Surg, 2019, 23(4): 779-787. DOI: 10.1007/s11605-019-04134-y.
[5]
Imura S, Teraoku H, Yoshikawa M, et al. Potential predictive factors for microvascular invasion in hepatocellular carcinoma classified within the Milan criteria[J]. Int J Clin Oncol, 2018, 23(1): 98-103. DOI: 10.1007/s10147-017-1189-8.
[6]
Cao L, Li R, Zhang Q, et al. Progress of Gd-EOB-DTPA in the diagnosis and evaluation of HCC[J]. Chin J Magn Reson Imaging, 2020, 11(10): 943-946. DOI: 10.12015/issn.1674-8034.2020.10.028.
[7]
Chen X, Li WZ, Chen WS, et al. Application progresses of multimodality MRI in predicting microvascular invasion of hepatocellular carcinoma[J]. Chin J Med Imaging Technol, 2019, 35(2): 294-297. DOI: 10.13929/j.1003-3289.201805034.
[8]
Zhang L, Yu X, Wei WX, et al. Prediction of HCC microvascular invasion with gadobenate-enhanced MRI: correlation with pathology[J]. Eur Radiol, 2020, 30(10): 5327-5336. DOI: 10.1007/s00330-020-06895-6.
[9]
Lee S, Kim SH, Lee JE, et al. Preoperative gadoxetic acid-enhanced MRI for predicting microvascular invasion in patients with single hepatocellular carcinoma[J]. J Hepatol, 2017, 67(3): 526-534. DOI: 10.1016/j.jhep.2017.04.024.
[10]
Hong SB, Choi SH, Kim SY, et al. MRI Features for Predicting Microvascular Invasion of Hepatocellular Carcinoma:A Systematic Review and Meta-Analysis[J]. Liver Cancer, 2021, 10(2): 94-106. DOI: 10.1159/000513704.
[11]
Cho ES, Choi JY. MRI features of hepatocellular carcinoma related to biologic behavior[J]. Korean J Radiol, 2015, 16(3): 449-464. DOI: 10.3348/kjr.2015.16.3.449.
[12]
Chou YC, Lao IH, Hsieh PL, et al. Gadoxetic acid-enhanced magnetic resonance imaging can predict the pathologic stage of solitary hepatocellular carcinoma[J]. World J Gastroenterol, 2019, 25(21): 2636-2649. DOI: 10.3748/wjg.v25.i21.2636.
[13]
Xu P, Huang MQ, Liao B, et al. Prediction of microvascular invasion in solitary hepatocellular carcinoma: preoperative dynamic Gd-EOB-DTPA-enhanced MRI and histopathologic correlation[J]. Diagn Interv Radiol, 2017, 26(1): 31-36. DOI: 10.ssss/j.issn.1005-8001.2017.1.007.
[14]
Chou YC, Lao IH, Hsieh PL, et al. Gadoxetic acid-enhanced magnetic resonance imaging can predict the pathologic stage of solitary hepatocellular carcinoma[J]. World J Gastroenterol, 2019, 25(21): 2636-2649. DOI: 10.3748/wjg.v25.i21.2636.
[15]
Wei Y, Huang ZX, Tang HH, et al. IVIM improves preoperative assessment of microvascular invasion in HCC[J]. Eur Radiol, 2019, 29(10): 5403-5414. DOI: 10.1007/s00330-019-06088-w.
[16]
Li K, Cai P, Yan XC, et al. EOB-MRI in predicting of MVI in hepatocellular carcinoma[J]. J Reg Anat Oper Surg, 2019, 28(7): 533-538. DOI: 10.11659/jjssx.04E019100.
[17]
Chen PP, Lu J, Zhang T, et al. The value of gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid enhanced MRI in the prediction of microvascular invasion of hepatocellular carcinoma[J]. Chin J Radiol, 2019, 53(2): 103-108. DOI: 10.3760/cma.j.issn.1005-1201.2019.02.005.
[18]
Okamura S, Sumie S, Tonan T, et al. Diffusion-weighted magnetic resonance imaging predicts malignant potential in small hepatocellular carcinoma[J]. Dig Liver Dis2016,48(8): 945-52. DOI: 10.1016/j.dld.2016.05.020.
[19]
Wei Y, Gao FF, Wang M,et al. Intravoxel incoherent motion diffusion-weighted imaging for assessment of histologic grade of hepatocellular carcinoma: comparison of three methods for positioning region of interest[J]. Eur Radiol, 2019, 29(2): 535-544. DOI: 10.1007/s00330-018-5638-1.
[20]
Surov A, Pech M, Omari J, et al. Diffusion-Weighted Imaging Reflects Tumor Grading and Microvascular Invasion in Hepatocellular Carcinoma. Liver Cancer, 2021,10(1): 10-24. DOI: 10.1159/000511384. DOI: .
[21]
Han Z, Liu AL, Liu ZQ, et al. Multiple exponential models of diffusion weighted imaging in differentiating hepatocellular carcinoma from hepatic hemangioma[J]. Chin J Magn Reson Imaging, 2017, 8(7): 519-525. DOI: 10.12015/issn.1674-8034.2017.07.008.

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