Skip to main content
SpringerLink
Log in

Comparative study of evaluating the microcirculatory function status of primary small HCC between the CE (DCE-MRI) and Non-CE (IVIM-DWI) MR Perfusion Imaging

  • Hepatobiliary
  • Published:
Abdominal Radiology Aims and scope Submit manuscript

Abstract

Purpose

To compare the difference of evaluating the microcirculatory function status of primary small HCC between DCE-MRI with two-compartmental pharmacokinetic model and IVIM-DWI.

Methods

27 patients (22 men, 5 women; mean age, 49 years; range 36–65 years) with primary single sHCC who underwent IVIM-DWI and DCE–MRI before the operation were included in this retrospective study. The MR perfusion parameters are Ktrans, Ve, Kep, D, D* and f. Pathological results include pathological grade (low grade ≤ II, high grade > II) and MVD. The perfusion parameters and pathological results of sHCC were analyzed and compared in their relevance, sensitivity and specificity. Statistical methods included Spearman and ROC curve analysis.

Results

The perfusion parameters (Ktrans, Kep, D*, f) were significantly positive correlated (r = 0.892, 0.808, 0.589 and 0.543, P = 0.000, 0.000, 0.001 and 0.003 with MVD of sHCC. The parameter Ve and D values were negatively correlated (r = − 0.454 and − 0.399, P = 0.017 and 0.039, respectively) with the pathological grade. Regarding the evaluation MVD of sHCC, the evaluation of the sensitivity and specificity performance was present in descending order: Ktrans > Kep > PF > D*. In the evaluation pathological grade of sHCC, the sensitivity and specificity were better by parameters D than Ve.

Conclusion

DCE-MRI is better than IVIM-DWI for evaluation microcirculation functional status of sHCC. But for evaluating the pathological grade, IVIM-DWI is better than DCE-MRI. Combination of the two imaging techniques may provide more comprehensive evaluation in microcirculation functional status of the sHCC.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Onaca N, Davis GL, Jennings LW, Goldstein RM, Klintmalm GB (2009) Improved results of transplantation for hepatocellular carcinoma: a report from the International Registry of Hepatic Tumors in Liver Transplantation. Liver Transpl 15 (6):574-580. https://doi.org/10.1002/lt.21738

    Article  PubMed  Google Scholar 

  2. Chebib I, Shabani-Rad MT, Chow MS, Zhang J, Gao ZH (2007) Microvessel density and clinicopathologic characteristics in hepatocellular carcinoma with and without cirrhosis. Biomark Insights 2:59-68

    Article  PubMed  PubMed Central  Google Scholar 

  3. Weidner N (1995) Current pathologic methods for measuring intratumoral microvessel density within breast carcinoma and other solid tumors. Breast Cancer Res Treat 36 (2):169-180

    Article  CAS  PubMed  Google Scholar 

  4. Zhang Q, Chen X, Zhou J, Zhang L, Zhao Q, Chen G, Xu J, Qian F, Chen Z (2006) CD147, MMP-2, MMP-9 and MVD-CD34 are significant predictors of recurrence after liver transplantation in hepatocellular carcinoma patients. Cancer Biol Ther 5 (7):808-814

    Article  CAS  PubMed  Google Scholar 

  5. Chen J, Chen C, Xia C, Huang Z, Zuo P, Stemmer A, Song B (2018) Quantitative free-breathing dynamic contrast-enhanced MRI in hepatocellular carcinoma using gadoxetic acid: correlations with Ki67 proliferation status, histological grades, and microvascular density. Abdom Radiol (NY) 43 (6):1393-1403. https://doi.org/10.1007/s00261-017-1320-3

    Article  Google Scholar 

  6. Munoz NM, Minhaj AA, Maldonado KL, Kingsley CV, Cortes AC, Taghavi H, Polak U, Mitchell JM, Ensor JE, Bankson JA, Rashid A, Avritscher R (2019) Comparison of dynamic contrast-enhanced magnetic resonance imaging and contrast-enhanced ultrasound for evaluation of the effects of sorafenib in a rat model of hepatocellular carcinoma. Magn Reson Imaging 57:156-164. https://doi.org/10.1016/j.mri.2018.11.012

    Article  CAS  PubMed  Google Scholar 

  7. Woo S, Lee JM, Yoon JH, Joo I, Han JK, Choi BI (2014) Intravoxel incoherent motion diffusion-weighted MR imaging of hepatocellular carcinoma: correlation with enhancement degree and histologic grade. Radiology 270 (3):758-767. https://doi.org/10.1148/radiol.13130444

    Article  PubMed  Google Scholar 

  8. Hectors SJ, Wagner M, Besa C, Bane O, Dyvorne HA, Fiel MI, Zhu H, Donovan M, Taouli B (2016) Intravoxel incoherent motion diffusion-weighted imaging of hepatocellular carcinoma: Is there a correlation with flow and perfusion metrics obtained with dynamic contrast-enhanced MRI? J Magn Reson Imaging 44 (4):856-864. https://doi.org/10.1002/jmri.25194

    Article  PubMed  PubMed Central  Google Scholar 

  9. Zhang Y, Liu H, Xiao W, Zhu L, Wang N, He X, Jiang Z, Guan B (2017) Quantitative dynamic contrast-enhanced magnetic resonance imaging in a VX2 rabbit liver tumour model using different gadolinium-based contrast agents: comparison of DCE-MRI quantitative results between Magnevist and Eovist. BJR Case Rep 3 (3):20160099. https://doi.org/10.1259/bjrcr.20160099

    Article  PubMed  PubMed Central  Google Scholar 

  10. Zhu SC, Liu YH, Wei Y, Li LL, Dou SW, Sun TY, Shi DP (2018) Intravoxel incoherent motion diffusion-weighted magnetic resonance imaging for predicting histological grade of hepatocellular carcinoma: Comparison with conventional diffusion-weighted imaging. World J Gastroenterol 24 (8):929-940. https://doi.org/10.3748/wjg.v24.i8.929

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Kenmochi K, Sugihara S, Kojiro M (1987) Relationship of histologic grade of hepatocellular carcinoma (HCC) to tumor size, and demonstration of tumor cells of multiple different grades in single small HCC. Liver 7 (1):18-26

    Article  CAS  PubMed  Google Scholar 

  12. Wei Y, Huang Z, Tang H, Deng L, Yuan Y, Li J, Wu D, Wei X, Song B (2019) IVIM improves preoperative assessment of microvascular invasion in HCC. Eur Radiol. https://doi.org/10.1007/s00330-019-06088-w

    Article  PubMed  Google Scholar 

  13. Yamada I, Aung W, Himeno Y, Nakagawa T, Shibuya H (1999) Diffusion coefficients in abdominal organs and hepatic lesions: evaluation with intravoxel incoherent motion echo-planar MR imaging. Radiology 210 (3):617-623. https://doi.org/10.1148/radiology.210.3.r99fe17617

    Article  CAS  PubMed  Google Scholar 

  14. Kakite S, Dyvorne H, Besa C, Cooper N, Facciuto M, Donnerhack C, Taouli B (2015) Hepatocellular carcinoma: short-term reproducibility of apparent diffusion coefficient and intravoxel incoherent motion parameters at 3.0T. J Magn Reson Imaging 41 (1):149-156. https://doi.org/10.1002/jmri.24538

    Article  PubMed  Google Scholar 

  15. Witjes CD, Willemssen FE, Verheij J, van der Veer SJ, Hansen BE, Verhoef C, de Man RA, Ijzermans JN (2012) Histological differentiation grade and microvascular invasion of hepatocellular carcinoma predicted by dynamic contrast-enhanced MRI. J Magn Reson Imaging 36 (3):641-647. https://doi.org/10.1002/jmri.23681

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Radiology, Zhongshan Hospital of Fudan University, Fudan University, Shanghai Institute of Medical Imaging, No 130, Dongan Rd, Xuhui District, Shanghai, 200032, People’s Republic of China

    Qiong Song, Yixian Guo, Xiuzhong Yao, Shengxiang Rao & Mengsu Zeng

  2. Radiology Department, Xuzhou Mining Group General Hospital, Xuzhou, 221000, Jiangsu, People’s Republic of China

    Qiong Song

  3. Shanghai Aitrox Technology Corporation Limited, Shanghai, 200032, People’s Republic of China

    Qiong Song, Chengyao Qian & Dexian Ye

Authors
  1. Qiong Song
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yixian Guo
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xiuzhong Yao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Shengxiang Rao
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Chengyao Qian
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Dexian Ye
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Mengsu Zeng
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mengsu Zeng.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Song, Q., Guo, Y., Yao, X. et al. Comparative study of evaluating the microcirculatory function status of primary small HCC between the CE (DCE-MRI) and Non-CE (IVIM-DWI) MR Perfusion Imaging. Abdom Radiol 46, 2575–2583 (2021). https://doi.org/10.1007/s00261-020-02945-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00261-020-02945-1

Keywords

Search

Navigation