Skip to main content
Log in

Gadoxetic acid enhanced magnetic resonance imaging for prediction of the postoperative prognosis of intrahepatic mass-forming cholangiocarcinoma

  • Published:
Abdominal Radiology Aims and scope Submit manuscript

Abstract

Purpose

To identify imaging markers that independently predict the post-operative outcome of intrahepatic mass-forming cholangiocarcinoma (IMCC) using gadoxetate disodium-enhanced magnetic resonance imaging (MRI).

Methods

Data from 54 patients who underwent pre-operative gadoxetate disodium-enhanced MRI and curative surgery for IMCC were retrospectively evaluated. The prognostic power of various imaging and pathological features reportedly associated with recurrence-free survival (RFS) and overall survival (OS) was analyzed using Cox regression models. A model combining imaging and pathological features was developed and its performance was evaluated using the Harrell C-index and Akaike information criterion.

Results

Capsule penetration (P = 0.016) and tumor size (P = 0.015) were independent markers for worse RFS, while capsule penetration (P = 0.012) and hepatic vein obstruction (HVO, P = 0.016) were independent markers for worse OS, respectively, in the imaging-based model. Capsule penetration was the only imaging marker identified in the combined prediction model of RFS, and the combined model showed a higher C-index and lower AIC value compared with the model based on pathological features alone.

Conclusions

Capsule penetration and HVO on MRI are significantly worse imaging prognostic factors for post-operative outcomes in patients with IMCC. Incorporation of capsule penetration and HVO into a surgical staging system may improve prediction of the post-operative prognosis of IMCC.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Abbreviations

ADC:

Apparent diffusion coefficient

AIC:

Akaike information criterion

AJCC:

American Joint Committee on Cancer

AP:

Arterial phase

AVI:

Any vascular invasion

BDI:

Bile duct invasion

BO:

Biliary obstruction

CI:

Confidence interval

CT:

Computed tomography

DWI:

Diffusion-weighted images

HBP:

Hepatobiliary phase

HR:

Hazard ratio

HVO:

Hepatic vein obstruction

IMCC:

Intrahepatic mass-forming cholangiocarcinoma

LCSGJ:

Liver Cancer Study Group of Japan

MRI:

Magnetic resonance imaging

MVI:

Microvessel invasion

OS:

Overall survival

PVO:

Portal vein obstruction

RCS:

Restricted cubic splines

RFS:

Recurrence-free survival

SI:

Signal intensity

References

  1. Soyer P, Bluemke D, Reichle R, et al. (1995) Imaging of intrahepatic cholangiocarcinoma: 1. Peripheral cholangiocarcinoma. AJR. Am J Roentgenol 165(6):1427–1431

    Article  CAS  Google Scholar 

  2. Morimoto Y, et al. (2003) Long-term survival and prognostic factors in the surgical treatment for intrahepatic cholangiocarcinoma. J Hepato Biliary Pancreat Surg 10(6):432–440

    Article  Google Scholar 

  3. Hyder O, et al. (2014) A nomogram to predict long-term survival after resection for intrahepatic cholangiocarcinoma: an Eastern and Western experience. JAMA Surg 149(5):432–438. https://doi.org/10.1001/jamasurg.2013.5168

    Article  PubMed  Google Scholar 

  4. Sakamoto Y, et al. (2016) Proposal of a new staging system for intrahepatic cholangiocarcinoma: analysis of surgical patients from a nationwide survey of the Liver Cancer Study Group of Japan. Cancer 122(1):61–70. https://doi.org/10.1002/cncr.29686

    Article  PubMed  Google Scholar 

  5. Okabayashi T, Yamamoto J, Kosuge T, et al. (2001) A new staging system for mass-forming intrahepatic cholangiocarcinoma: analysis of preoperative and postoperative variables. Cancer 92(9):2374–2383

    Article  CAS  PubMed  Google Scholar 

  6. Edge SB, American Joint Committee on Cancer (2010) AJCC cancer staging manual, 7th edn. New York: Springer

    Google Scholar 

  7. Amin MB, et al. (2017) AJCC Cancer Staging Manual, 8th edn. New York: Springer

    Book  Google Scholar 

  8. Fujita N, et al. (2017) Mass-forming intrahepatic cholangiocarcinoma: Enhancement patterns in the arterial phase of dynamic hepatic CT-correlation with clinicopathological findings. Eur Radiol 27(2):498–506. https://doi.org/10.1007/s00330-016-4386-3

    Article  PubMed  Google Scholar 

  9. Nanashima A, et al. (2013) Intrahepatic cholangiocarcinoma: relationship between tumor imaging enhancement by measuring attenuation and clinicopathologic characteristics. Abdom Imaging 38(4):785–792. https://doi.org/10.1007/s00261-012-9974-3

    Article  PubMed  Google Scholar 

  10. Turkoglu MA, et al. (2016) The favorable prognosis after operative resection of hypervascular intrahepatic cholangiocarcinoma: A clinicopathologic and immunohistochemical study. Surgery 160(3):683–690. https://doi.org/10.1016/j.surg.2016.03.020

    Article  PubMed  Google Scholar 

  11. Asayama Y, et al. (2006) Delayed-phase dynamic CT enhancement as a prognostic factor for mass-forming intrahepatic cholangiocarcinoma 1. Radiology 238(1):150–155

    Article  PubMed  Google Scholar 

  12. Horvat N, et al. (2018) Imaging features of hepatocellular carcinoma compared to intrahepatic cholangiocarcinoma and combined tumor on MRI using liver imaging and data system (LI-RADS) version 2014. Abdom Radiol 43(1):169–178. https://doi.org/10.1007/s00261-017-1261-x

    Article  Google Scholar 

  13. Koh J, et al. (2016) Intrahepatic mass-forming cholangiocarcinoma: prognostic value of preoperative gadoxetic acid-enhanced MRI. Eur Radiol 26(2):407–416. https://doi.org/10.1007/s00330-015-3846-5

    Article  PubMed  Google Scholar 

  14. Chong YS, Kim YK, Lee MW, et al. (2012) Differentiating mass-forming intrahepatic cholangiocarcinoma from atypical hepatocellular carcinoma using gadoxetic acid-enhanced MRI. Clin Radiol 67(8):766–773. https://doi.org/10.1016/j.crad.2012.01.004

    Article  CAS  PubMed  Google Scholar 

  15. Lee J, Kim SH, Kang TW, et al. (2016) Mass-forming intrahepatic cholangiocarcinoma: diffusion-weighted imaging as a preoperative prognostic marker. Radiology 281(1):119–128. https://doi.org/10.1148/radiol.2016151781

    Article  PubMed  Google Scholar 

  16. Pandey A, et al. (2018) Unresectable intrahepatic cholangiocarcinoma: multiparametric MR imaging to predict patient survival. Radiology 288(1):109–117. https://doi.org/10.1148/radiol.2018171593

    Article  PubMed  Google Scholar 

  17. Cohen J (1968) Weighted kappa: nominal scale agreement provision for scaled disagreement or partial credit. Psychol Bull 70(4):213

    Article  CAS  PubMed  Google Scholar 

  18. Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33(1):159–174

    Article  CAS  Google Scholar 

  19. Yamasaki S (2003) Intrahepatic cholangiocarcinoma: macroscopic type and stage classification. J Hepatobiliary Pancreat Surg 10(4):288–291. https://doi.org/10.1007/s00534-002-0732-8

    Article  PubMed  Google Scholar 

  20. Aherne EA, Pak LM, Goldman DA, et al. (2018) Intrahepatic cholangiocarcinoma: can imaging phenotypes predict survival and tumor genetics? Abdomin Radiol . https://doi.org/10.1007/s00261-018-1505-4

    Article  Google Scholar 

  21. Gillies RJ, Kinahan PE, Hricak H (2015) Radiomics: images are more than pictures, they are data. Radiology 278(2):563–577

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Myeong-Jin Kim.

Ethics declarations

Funding

Nothing.

Conflict of interest

The authors declare that they have no conflict of interest.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (PDF 336 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kim, S., An, C., Han, K. et al. Gadoxetic acid enhanced magnetic resonance imaging for prediction of the postoperative prognosis of intrahepatic mass-forming cholangiocarcinoma. Abdom Radiol 44, 110–121 (2019). https://doi.org/10.1007/s00261-018-1727-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00261-018-1727-5

Keywords

Navigation