Skip to main content

Advertisement

Log in

Contrast-enhanced MRI could predict response of systemic therapy in advanced intrahepatic cholangiocarcinoma

  • Hepatobiliary-Pancreas
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objective

To investigate whether pre-treatment contrast-enhanced MRI could predict the therapeutic response of systemic treatment in advanced intrahepatic cholangiocarcinoma (ICC).

Methods

This retrospective study enrolled 61 ICC participants with contrast-enhanced MRI before combined systemic therapy. Clinical characteristics and MRI features were compared between patients with and without therapeutic response by univariate and multivariate logistic regression analyses. Then, a combined MRI-based model and the nomogram were established based on the results of the multivariate analysis. The diagnostic performances of significant findings and the combined model were evaluated and compared. The progression-free survival (PFS) rates between patients with high and low combined index values were compared.

Results

Thirty (49.18%) patients showed overall response after therapy. In multivariate analysis, tumor margin (odds ratio (OR) = 5.004, p = 0.014), T2 homogeneity (OR = 14.93, p = 0.019), and arterial peritumoral enhancement (OR = 5.076, p = 0.042) were independent predictive factors associated with therapeutic response. The C-index with the formulated nomogram incorporating the three independent imaging features was 0.828 (95% CI 0.710–0.913). Diagnostic characteristics of the combined index were superior to any single feature alone (p = 0.0007–0.0141). ICCs with high combined index values showed higher PFS rates than those with low values (χ2 = 13.306, p < 0.0001).

Conclusions

Pre-treatment contrast-enhanced MRI can be used to predict therapeutic response in advanced ICC with systemic therapy. The combination model incorporating significant MRI features achieved an improved predictive value, which may play an important role in identifying appropriate therapeutic candidates.

Key Points

• Contrast-enhanced MRI can predict response of systemic therapy in advanced ICC.

• MRI features of tumor margin, T2 homogeneity, and arterial peritumoral enhancement are related to therapeutic response.

• The combined MRI-based model may help to identify appropriate therapeutic candidates.

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

Similar content being viewed by others

Abbreviations

ADC:

Apparent diffusion coefficient

APE:

Arterial peritumoral enhancement

AUC:

Area under the curve

CI:

Confidence interval

ICC:

Intrahepatic cholangiocarcinoma

MRI:

Magnetic resonance imaging

OR:

Odds ratio

PD-1:

Programmed cell death protein 1

PFS:

Progression-free survival

RECIST:

Response Evaluation Criteria in Solid Tumors

ROI:

Region of interest

References

  1. Sirica AE, Gores GJ, Groopman JD et al (2019) Intrahepatic cholangiocarcinoma: continuing challenges and translational advances. Hepatology 69:1803–1815

    Article  Google Scholar 

  2. Kelley RK, Bridgewater J, Gores GJ, Zhu AX (2020) Systemic therapies for intrahepatic cholangiocarcinoma. J Hepatol 72:353–363

    Article  CAS  Google Scholar 

  3. Fiteni F, Nguyen T, Vernerey D et al (2014) Cisplatin/gemcitabine or oxaliplatin/gemcitabine in the treatment of advanced biliary tract cancer: a systematic review. Cancer Med 3:1502–1511

    Article  CAS  Google Scholar 

  4. Jang JS, Lim HY, Hwang IG et al (2010) Gemcitabine and oxaliplatin in patients with unresectable biliary cancer including gall bladder cancer: a Korean Cancer Study Group phase II trial. Cancer Chemother Pharmacol 65:641–647

    Article  CAS  Google Scholar 

  5. Llovet JM, Ricci S, Mazzaferro V et al (2008) Sorafenib in advanced hepatocellular carcinoma. N Engl J Med 359:378–390

    Article  CAS  Google Scholar 

  6. Kudo M, Finn RS, Qin S et al (2018) Lenvatinib versus sorafenib in first-line treatment of patients with unresectable hepatocellular carcinoma: a randomised phase 3 non-inferiority trial. Lancet 391:1163–1173

    Article  CAS  Google Scholar 

  7. Ueno M, Ikeda M, Sasaki T et al (2020) Phase 2 study of lenvatinib monotherapy as second-line treatment in unresectable biliary tract cancer: primary analysis results. BMC Cancer 20:1105

    Article  CAS  Google Scholar 

  8. El-Khoueiry AB, Sangro B, Yau T et al (2017) Nivolumab in patients with advanced hepatocellular carcinoma (CheckMate 040): an open-label, non-comparative, phase 1/2 dose escalation and expansion trial. Lancet 389:2492–2502

    Article  CAS  Google Scholar 

  9. Finn RS, Ryoo BY, Merle P et al (2020) Pembrolizumab as second-line therapy in patients with advanced hepatocellular carcinoma in KEYNOTE-240: a randomized, double-blind, phase III trial. J Clin Oncol 38:193–202

    Article  CAS  Google Scholar 

  10. Ilyas FZ, Beane JD, Pawlik TM (2021) The state of immunotherapy in hepatobiliary cancers. Cells 10:2096

    Article  CAS  Google Scholar 

  11. Lee YJ, Lee JM, Lee JS et al (2015) Hepatocellular carcinoma: diagnostic performance of multidetector CT and MR imaging-a systematic review and meta-analysis. Radiology 275:97–109

    Article  Google Scholar 

  12. Kudo M (2020) Gd-EOB-DTPA-MRI could predict WNT/beta-catenin mutation and resistance to immune checkpoint inhibitor therapy in hepatocellular carcinoma. Liver Cancer 9:479–490

    Article  Google Scholar 

  13. Yoon JH, Lee JM (2019) Can MRI features predict prognosis in mass-forming intrahepatic cholangiocarcinoma? Radiology 290:700–701

    Article  Google Scholar 

  14. Pandey A, Pandey P, Ghasabeh MA et al (2018) Baseline volumetric multiparametric MRI: can it be used to predict survival in patients with unresectable intrahepatic cholangiocarcinoma undergoing transcatheter arterial chemoembolization? Radiology 289:843–853

    Article  Google Scholar 

  15. Kim S, An C, Han K, Kim MJ (2019) Gadoxetic acid enhanced magnetic resonance imaging for prediction of the postoperative prognosis of intrahepatic mass-forming cholangiocarcinoma. Abdom Radiol (NY) 44:110–121

    Article  Google Scholar 

  16. Eisenhauer EA, Therasse P, Bogaerts J et al (2009) New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer 45:228–247

    Article  CAS  Google Scholar 

  17. Bertuccio P, Malvezzi M, Carioli G et al (2019) Global trends in mortality from intrahepatic and extrahepatic cholangiocarcinoma. J Hepatol 71:104–114

    Article  Google Scholar 

  18. Chen J, Wu Z, Xia C et al (2020) Noninvasive prediction of HCC with progenitor phenotype based on gadoxetic acid-enhanced MRI. Eur Radiol 30:1232–1242

    Article  CAS  Google Scholar 

  19. Zhao YJ, Chen WX, Wu DS, Zhang WY, Zheng LR (2016) Differentiation of mass-forming intrahepatic cholangiocarcinoma from poorly differentiated hepatocellular carcinoma: based on the multivariate analysis of contrast-enhanced computed tomography findings. Abdom Radiol (NY) 41:978–989

    Article  Google Scholar 

  20. Wei Y, Pei W, Qin Y, Su D, Liao H (2021) Preoperative MR imaging for predicting early recurrence of solitary hepatocellular carcinoma without microvascular invasion. Eur J Radiol 138:109663

    Article  Google Scholar 

  21. Ahn KS, Kang KJ (2020) Molecular heterogeneity in intrahepatic cholangiocarcinoma. World J Hepatol 12:1148–1157

    Article  Google Scholar 

  22. Braconi C, Roessler S, Kruk B, Lammert F, Krawczyk M, Andersen JB (2019) Molecular perturbations in cholangiocarcinoma: is it time for precision medicine? Liver Int 39(Suppl 1):32–42

    Article  Google Scholar 

  23. Wang X, Wang W, Ma X et al (2020) Combined hepatocellular-cholangiocarcinoma: which preoperative clinical data and conventional MRI characteristics have value for the prediction of microvascular invasion and clinical significance? Eur Radiol 30:5337–5347

    Article  Google Scholar 

  24. Chong HH, Yang L, Sheng RF et al (2021) Multi-scale and multi-parametric radiomics of gadoxetate disodium-enhanced MRI predicts microvascular invasion and outcome in patients with solitary hepatocellular carcinoma ≤ 5 cm. Eur Radiol 31:4824–4838

    Article  CAS  Google Scholar 

  25. Zhao H, Hua Y, Dai T et al (2017) Development and validation of a novel predictive scoring model for microvascular invasion in patients with hepatocellular carcinoma. Eur J Radiol 88:32–40

    Article  Google Scholar 

  26. Yang L, Gu D, Wei J et al (2019) A radiomics nomogram for preoperative prediction of microvascular invasion in hepatocellular carcinoma. Liver Cancer 8:373–386

    Article  CAS  Google Scholar 

  27. Zhou C, Wang Y, Ma L, Qian X, Yang C, Zeng M (2021) Combined hepatocellular carcinoma-cholangiocarcinoma: MRI features correlated with tumor biomarkers and prognosis. Eur Radiol 32:78–88

    Article  Google Scholar 

  28. King MJ, Hectors S, Lee KM et al (2020) Outcomes assessment in intrahepatic cholangiocarcinoma using qualitative and quantitative imaging features. Cancer Imaging 20:43

    Article  Google Scholar 

Download references

Acknowledgements

This study was funded by the Natural Science Foundation of Fujian Province (grant number 2021D032), Shanghai Rising Stars of Medical Talent Youth Development Program (grant number SHWRS(2020)_087), the Shanghai Municipal Key Clinical Specialty (grant number shslczdzk03202), and the Clinical Research Plan of SHDC (grant number SHDC2020CR1003A). The authors thank the statistician Minzhi Lv for her support in statistical analyses in this work.

Funding

This study has received funding by the Natural Science Foundation of Fujian Province (grant number 2021D032), Shanghai Rising Stars of Medical Talent Youth Development Program (grant number SHWRS(2020)_087), the Shanghai Municipal Key Clinical Specialty (grant number shslczdzk03202), and the Clinical Research Plan of SHDC (grant number SHDC2020CR1003A).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Mengsu Zeng or Dong Wu.

Ethics declarations

Guarantor

The scientific guarantor of this publication is Mengsu Zeng.

Conflict of interest

The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.

Statistics and biometry

One of the authors has significant statistical expertise (Shanshan Gao). And Minzhi Lv kindly provided statistical advice for this manuscript.

Informed consent

Written informed consent was waived by the Institutional Review Board.

Ethical approval

Institutional Review Board approval was obtained by Zhongshan Hospital, Fudan University (Approval Number: B2021-113R).

Methodology

• retrospective

• diagnostic or prognostic study

• performed at one institution

Additional information

Publisher’s note

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

Mengsu Zeng and Dong Wu contribute the same as corresponding authors.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sheng, R., Huang, X., Jin, K. et al. Contrast-enhanced MRI could predict response of systemic therapy in advanced intrahepatic cholangiocarcinoma. Eur Radiol 32, 5156–5165 (2022). https://doi.org/10.1007/s00330-022-08679-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-022-08679-6

Keywords

Navigation