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Nomogram based on preoperative clinical and MRI features to estimate the microvascular invasion status and the prognosis of solitary intrahepatic mass-forming cholangiocarcinoma

  • Hepatobiliary
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Abstract

Purpose

To develop a nomogram based on preoperative clinical and magnetic resonance imaging (MRI) features for the microvascular invasion (MVI) status in solitary intrahepatic mass-forming cholangiocarcinoma (sIMCC) and to evaluate whether it could predict recurrence-free survival (RFS).

Methods

We included 115 cases who experienced MRI examinations for sIMCC with R0 resection. The preoperative clinical and MRI features were extracted. Independent predictors related to MVI+ were evaluated by stepwise multivariate logistic regression, and a nomogram was constructed. A receiver operating characteristic (ROC) curve was used to assess the predictive ability. All patients were classified into high- and low-risk groups of MVI. Then, the correlations of the nomogram with RFS in patents with sIMCC were analyzed by Kaplan–Meier method.

Results

The occurrence rate of MVI+ was 38.3% (44/115). The preoperative independent predictors of MVI+ were carbohydrate antigen 19-9 > 37 U/ml, tumor size > 5 cm, and an ill-defined tumor boundary. Integrating these predictors, the nomogram exerted a favorable diagnostic performance with areas under the ROC curve of 0.767 (95% confidence interval [CI] 0.654–0.881) in the development cohort, and 0.760 (95% CI 0.591–0.929) in the validation cohort. In the RFS analysis, significant differences were observed between the high- and low-risk MVI groups (6-month RFS rates: 64.5% vs. 78.8% and 46.7% vs. 82.4% in the development and validation cohorts, respectively) (P < 0.05).

Conclusions

A nomogram based on clinical and MRI features is a potential biomarker of MVI and may be a potent method to classify the risk of recurrence in patients with sIMCC.

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Data availability

Data generated or analyzed during the study are available from the corresponding authors by request.

Abbreviations

CA 19-9:

Carbohydrate antigen 19-9

CI:

Confidence interval

iCCA:

Intrahepatic cholangiocarcinoma

sIMCC:

Solitary intrahepatic mass-forming cholangiocarcinoma

MRI:

Magnetic resonance imaging

MVI:

Microvascular invasion

OR:

Odds ratio

RFS:

Recurrence-free survival

ROC:

Receiver operating characteristic

References

  1. Valle, J.W., et al., Biliary tract cancer. Lancet, 2021. 397(10272): p. 428-444.

    Article  CAS  PubMed  Google Scholar 

  2. Lim, J.H., Cholangiocarcinoma: morphologic classification according to growth pattern and imaging findings. AJR Am J Roentgenol, 2003. 181(3): p. 819-27.

    Article  PubMed  Google Scholar 

  3. Lendvai, G., et al., Cholangiocarcinoma: Classification, Histopathology and Molecular Carcinogenesis. Pathol Oncol Res, 2020. 26(1): p. 3-15.

    Article  CAS  PubMed  Google Scholar 

  4. Weber, S.M., et al., Intrahepatic cholangiocarcinoma: expert consensus statement. HPB (Oxford), 2015. 17(8): p. 669-80.

    Article  PubMed  Google Scholar 

  5. Spolverato, G., et al., The Impact of Surgical Margin Status on Long-Term Outcome After Resection for Intrahepatic Cholangiocarcinoma. Ann Surg Oncol, 2015. 22(12): p. 4020-8.

    Article  PubMed  Google Scholar 

  6. Shen, W.F., et al., Clinicopathological and prognostic analysis of 429 patients with intrahepatic cholangiocarcinoma. World J Gastroenterol, 2009. 15(47): p. 5976-82.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Hammad, A.Y., et al., Is Radiotherapy Warranted Following Intrahepatic Cholangiocarcinoma Resection? The Impact of Surgical Margins and Lymph Node Status on Survival. Ann Surg Oncol, 2016. 23(Suppl 5): p. 912-920.

    Article  PubMed  Google Scholar 

  8. Cong, W.M., et al., Practice guidelines for the pathological diagnosis of primary liver cancer: 2015 update. World J Gastroenterol, 2016. 22(42): p. 9279-9287.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Lu, W.F., et al., Synergistic impact of resection margin and microscopic vascular invasion for patients with HBV-related intrahepatic cholangiocarcinoma. Expert Rev Gastroenterol Hepatol, 2021. 15(5): p. 575-582.

    Article  CAS  PubMed  Google Scholar 

  10. Song, B.H., et al., Effects of microvascular invasion on clinical outcomes after resection with curative intent for cholangiocarcinoma. Medicine (Baltimore), 2020. 99(52): p. e23668.

    Article  CAS  PubMed  Google Scholar 

  11. Tang, Z., et al., Prognostic Value and Predication Model of Microvascular Invasion in Patients with Intrahepatic Cholangiocarcinoma. J Cancer, 2019. 10(22): p. 5575-5584.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Chen, Y., et al., Prognostic value and predication model of microvascular invasion in patients with intrahepatic cholangiocarcinoma: a multicenter study from China. BMC Cancer, 2021. 21(1): p. 1299.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Tsilimigras, D.I., et al., Very Early Recurrence After Liver Resection for Intrahepatic Cholangiocarcinoma: Considering Alternative Treatment Approaches. JAMA Surg, 2020. 155(9): p. 823-831.

    Article  PubMed  Google Scholar 

  14. Tsilimigras, D.I. and T.M. Pawlik, Preoperative Model and Patient Selection for Neoadjuvant Therapy for Intrahepatic Cholangiocarcinoma-Reply. JAMA Surg, 2021. 156(4): p. 395-396.

    Article  PubMed  Google Scholar 

  15. Utuama, O., et al., Neoadjuvant Chemotherapy for Intrahepatic Cholangiocarcinoma: A Propensity Score Survival Analysis Supporting Use in Patients with High-Risk Disease. Ann Surg Oncol, 2021. 28(4): p. 1939-1949.

    Article  PubMed  Google Scholar 

  16. Jhaveri, K.S. and H. Hosseini-Nik, MRI of cholangiocarcinoma. J Magn Reson Imaging, 2015. 42(5): p. 1165-79.

    Article  PubMed  Google Scholar 

  17. Zhou, Y., et al., Radiomics signature on dynamic contrast-enhanced MR images: a potential imaging biomarker for prediction of microvascular invasion in mass-forming intrahepatic cholangiocarcinoma. European Radiology, 2021. 31(9): p. 6846-6855.

    Article  PubMed  Google Scholar 

  18. Gao, W., et al., A Multiparametric Fusion Deep Learning Model Based on DCE-MRI for Preoperative Prediction of Microvascular Invasion in Intrahepatic Cholangiocarcinoma. J Magn Reson Imaging, 2022. 56(4): p. 1029-1039.

    Article  PubMed  Google Scholar 

  19. Zhou, Y., et al., Mass-forming intrahepatic cholangiocarcinoma: Can diffusion-weighted imaging predict microvascular invasion? J Magn Reson Imaging, 2019. 50(1): p. 315-324.

    Article  PubMed  Google Scholar 

  20. Ma, X., et al., MRI features predict microvascular invasion in intrahepatic cholangiocarcinoma. Cancer Imaging, 2020. 20(1): p. 40.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Lambin, P., et al., Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol, 2017. 14(12): p. 749-762.

    Article  PubMed  Google Scholar 

  22. Kundel, H.L. and M. Polansky, Measurement of Observer Agreement. Radiology, 2003. 228(2): p. 303-308.

    Article  PubMed  Google Scholar 

  23. Šimundić, A.M., Measures of Diagnostic Accuracy: Basic Definitions. Ejifcc, 2009. 19(4): p. 203-11.

    PubMed  PubMed Central  Google Scholar 

  24. Li, Q., et al., A Bayesian Network Prediction Model for Microvascular Invasion in Patients with Intrahepatic Cholangiocarcinoma: A Multi-institutional Study. World J Surg, 2023. 47(3): p. 773-784.

    Article  PubMed  Google Scholar 

  25. Buettner, S., et al., Survival after Resection of Multiple Tumor Foci of Intrahepatic Cholangiocarcinoma. J Gastrointest Surg, 2019. 23(11): p. 2239-2246.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Yin, L., et al., Primary tumor resection improves survival in patients with multifocal intrahepatic cholangiocarcinoma based on a population study. Sci Rep, 2021. 11(1): p. 12166.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Li, H., et al., Parenchyma-sparing hepatectomy improves salvageability and survival for solitary small intrahepatic cholangiocarcinoma. HPB (Oxford), 2021. 23(6): p. 882-888.

    Article  PubMed  Google Scholar 

  28. Asaoka, T., et al., Clinical significance of preoperative CA19-9 and lymph node metastasis in intrahepatic cholangiocarcinoma. Surg Today, 2020. 50(10): p. 1176-1186.

    Article  PubMed  Google Scholar 

  29. Kim, B.H., et al., Risk stratification and prognostic nomogram for post-recurrence overall survival in patients with recurrent extrahepatic cholangiocarcinoma. HPB (Oxford), 2017. 19(5): p. 421-428.

    Article  PubMed  Google Scholar 

  30. Amin, M.B., et al., The Eighth Edition AJCC Cancer Staging Manual: Continuing to build a bridge from a population-based to a more "personalized" approach to cancer staging. CA Cancer J Clin, 2017. 67(2): p. 93-99.

  31. Xiang, F., et al., Radiomics Analysis of Contrast-Enhanced CT for the Preoperative Prediction of Microvascular Invasion in Mass-Forming Intrahepatic Cholangiocarcinoma. Front Oncol, 2021. 11: p. 774117.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Bi, A.H., et al., Impact factors for microinvasion in intrahepatic cholangiocarcinoma: a possible system for defining clinical target volume. Int J Radiat Oncol Biol Phys, 2010. 78(5): p. 1427-36.

    Article  PubMed  Google Scholar 

  33. Saleh, M., et al., Intrahepatic cholangiocarcinoma: pathogenesis, current staging, and radiological findings. Abdom Radiol (NY), 2020. 45(11): p. 3662-3680.

    Article  PubMed  Google Scholar 

  34. Tsunematsu, S., et al., Intratumoral artery on contrast-enhanced computed tomography imaging: differentiating intrahepatic cholangiocarcinoma from poorly differentiated hepatocellular carcinoma. Abdom Imaging, 2015. 40(6): p. 1492-9.

    Article  PubMed  Google Scholar 

  35. Chen, J., et al., Noninvasive prediction of HCC with progenitor phenotype based on gadoxetic acid-enhanced MRI. Eur Radiol, 2020. 30(2): p. 1232-1242.

    Article  CAS  PubMed  Google Scholar 

  36. Sheng, R., et al., Contrast-enhanced MRI could predict response of systemic therapy in advanced intrahepatic cholangiocarcinoma. Eur Radiol, 2022. 32(8): p. 5156-5165.

    Article  CAS  PubMed  Google Scholar 

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Funding

There is no funding information related to this retrospective study.

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Authors and Affiliations

Authors

Contributions

SC contributed toward data curation, writing—original draft, and methodology. LW contributed toward data curation, formal analysis, and investigation. RZ contributed toward data curation and methodology. WP contributed toward resources and supervision. XL contributed toward resources and supervision. LL contributed toward conceptualization, formal analysis, investigation, project administration, and writing—review and editing. HZ contributed toward conceptualization, formal analysis, investigation, project administration, and writing—review and editing.

Corresponding author

Correspondence to Hongmei Zhang.

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Chen, S., Wan, L., Zhao, R. et al. Nomogram based on preoperative clinical and MRI features to estimate the microvascular invasion status and the prognosis of solitary intrahepatic mass-forming cholangiocarcinoma. Abdom Radiol 49, 425–436 (2024). https://doi.org/10.1007/s00261-023-04079-6

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  • DOI: https://doi.org/10.1007/s00261-023-04079-6

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