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Afyouni et al. Hepatoma Res 2023;9:28 https://dx.doi.org/10.20517/2394-5079.2023.29 Page 11 of 14

12. Fattach HE, Dohan A, Guerrache Y, et al. Intrahepatic and hilar mass-forming cholangiocarcinoma: Qualitative and quantitative
evaluation with diffusion-weighted MR imaging. Eur J Radiol 2015;84:1444-51. DOI
13. Park HJ, Kim YK, Park MJ, Lee WJ. Small intrahepatic mass-forming cholangiocarcinoma: target sign on diffusion-weighted imaging
for differentiation from hepatocellular carcinoma. Abdom Imaging 2013;38:793-801. DOI
14. Zou X, Luo Y, Li Z, et al. Volumetric apparent diffusion coefficient histogram analysis in differentiating intrahepatic mass-forming
cholangiocarcinoma from hepatocellular carcinoma. J Magn Reson Imaging 2019;49:975-83. DOI PubMed
15. Joo I, Lee JM, Yoon JH. Imaging diagnosis of intrahepatic and perihilar cholangiocarcinoma: recent advances and challenges.
Radiology 2018;288:7-13. DOI PubMed
16. Heye T, Merkle EM, Reiner CS, et al. Reproducibility of dynamic contrast-enhanced MR imaging. Part II. comparison of intra- and
interobserver variability with manual region of interest placement versus semiautomatic lesion segmentation and histogram analysis.
Radiology 2013;266:812-21. DOI
17. Apisarnthanarax S, Barry A, Cao M, et al. External beam radiation therapy for primary liver cancers: an ASTRO clinical practice
guideline. Pract Radiat Oncol 2022;12:28-51. DOI
18. Kang Y, Lee JM, Kim SH, Han JK, Choi BI. Intrahepatic mass-forming cholangiocarcinoma: enhancement patterns on gadoxetic acid-
enhanced MR images. Radiology 2012;264:751-60. DOI PubMed
19. Hyder O, Marques H, Pulitano C, et al. A nomogram to predict long-term survival after resection for intrahepatic cholangiocarcinoma:
an Eastern and Western experience. JAMA Surg 2014;149:432-8. DOI
20. Spolverato G, Ejaz A, Kim Y, et al. Tumor size predicts vascular invasion and histologic grade among patients undergoing resection of
intrahepatic cholangiocarcinoma. J Gastrointest Surg 2014;18:1284-91. DOI
21. Mavros MN, Economopoulos KP, Alexiou VG, Pawlik TM. Treatment and Prognosis for patients with intrahepatic
cholangiocarcinoma: systematic review and meta-analysis. JAMA Surg 2014;149:565-74. DOI PubMed
22. Wang Y, Li J, Xia Y, et al. Prognostic nomogram for intrahepatic cholangiocarcinoma after partial hepatectomy. J Clin Oncol
2013;31:1188-95. DOI
23. Amin MB, Greene FL, Edge SB, 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;67:93-9. DOI PubMed
24. Ma K, Dong B, Wang L, et al. Nomograms for predicting overall survival and cancer-specific survival in patients with surgically
resected intrahepatic cholangiocarcinoma. Cancer Manag Res 2019;11:6907-29. DOI PubMed PMC
25. Shen H, Zhang S, Xia Y, et al. A nomogram in predicting risks of intrahepatic cholangiocarcinoma after partial hepatectomy for
hepatolithiasis. J Gastrointest Surg 2021;25:2258-67. DOI
26. Aherne EA, Pak LM, Goldman DA, et al. Intrahepatic cholangiocarcinoma: can imaging phenotypes predict survival and tumor
genetics? Abdom Radiol 2018;43:2665-72. DOI PubMed PMC
27. Zhao L, Ma X, Liang M, et al. Prediction for early recurrence of intrahepatic mass-forming cholangiocarcinoma: quantitative magnetic
resonance imaging combined with prognostic immunohistochemical markers. Cancer Imaging 2019;19:49. DOI PubMed PMC
28. Xue B, Wu S, Zhang M, et al. A radiomic-based model of different contrast-enhanced CT phase for differentiate intrahepatic
cholangiocarcinoma from inflammatory mass with hepatolithiasis. Abdom Radiol 2021;46:3835-44. DOI
29. Ren S, Li Q, Liu S, et al. Clinical value of machine learning-based ultrasomics in preoperative differentiation between hepatocellular
carcinoma and intrahepatic cholangiocarcinoma: a multicenter study. Front Oncol 2021;11:749137. DOI PubMed PMC
30. Xue B, Wu S, Zheng M, et al. Development and validation of a radiomic-based model for prediction of intrahepatic
cholangiocarcinoma in patients with intrahepatic lithiasis complicated by imagologically diagnosed mass. Front Oncol
2020;10:598253. DOI PubMed PMC
31. Zhang J, Wu Z, Zhang X, et al. Machine learning: an approach to preoperatively predict PD-1/PD-L1 expression and outcome in
intrahepatic cholangiocarcinoma using MRI biomarkers. ESMO Open 2020;5:e000910. DOI PubMed PMC
32. Wang Y, Shao J, Wang P, et al. Deep learning radiomics to predict regional lymph node staging for hilar cholangiocarcinoma. Front
Oncol 2021;11:721460. DOI PubMed PMC
33. Xu L, Wan Y, Luo C, et al. Integrating intratumoral and peritumoral features to predict tumor recurrence in intrahepatic
cholangiocarcinoma. Phys Med Biol 2021;66:125001. DOI
34. Deng L, Chen B, Zhan C, et al. A novel clinical-radiomics model based on sarcopenia and radiomics for predicting the prognosis of
intrahepatic cholangiocarcinoma after radical hepatectomy. Front Oncol 2021;11:744311. DOI PubMed PMC
35. Peng YT, Zhou CY, Lin P, et al. Preoperative ultrasound radiomics signatures for noninvasive evaluation of biological characteristics
of intrahepatic cholangiocarcinoma. Acad Radiol 2020;27:785-97. DOI
36. Liang W, Xu L, Yang P, et al. Novel nomogram for preoperative prediction of early recurrence in intrahepatic cholangiocarcinoma.
Front Oncol 2018;8:360. DOI PubMed PMC
37. King MJ, Hectors S, Lee KM, et al. Outcomes assessment in intrahepatic cholangiocarcinoma using qualitative and quantitative
imaging features. Cancer Imaging 2020;20:43. DOI PubMed PMC
38. Park HJ, Park B, Park SY, et al. Preoperative prediction of postsurgical outcomes in mass-forming intrahepatic cholangiocarcinoma
based on clinical, radiologic, and radiomics features. Eur Radiol 2021;31:8638-48. DOI
39. Chu H, Liu Z, Liang W, et al. Radiomics using CT images for preoperative prediction of futile resection in intrahepatic
cholangiocarcinoma. Eur Radiol 2021;31:2368-76. DOI
40. Qin H, Hu X, Zhang J, et al. Machine-learning radiomics to predict early recurrence in perihilar cholangiocarcinoma after curative