Role of diagnostic radiology in the management of intrahepatic cholangiocarcinoma

Shadi Afyouni , Ali Borhani , Alireza Mohseni , Mohammad Mirza-Aghazadeh-Attari , Seyedeh Panid Madani , Haneyeh Shahbazian , Ghazal Zandieh , Timothy M. Pawlik , Ihab R. Kamel

Hepatoma Research ›› 2023, Vol. 9 : 28

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Hepatoma Research ›› 2023, Vol. 9:28 DOI: 10.20517/2394-5079.2023.29
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Role of diagnostic radiology in the management of intrahepatic cholangiocarcinoma

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Abstract

Intrahepatic cholangiocarcinoma (ICC) is a rare and aggressive form of primary liver cancer that presents significant diagnostic and treatment challenges. In this review, we discuss the role of diagnostic radiology in the management of ICC, and future directions for research and clinical practice in the management of ICC.

Keywords

Liver / intrahepatic cholangiocarcinoma / diagnostic radiology

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Shadi Afyouni, Ali Borhani, Alireza Mohseni, Mohammad Mirza-Aghazadeh-Attari, Seyedeh Panid Madani, Haneyeh Shahbazian, Ghazal Zandieh, Timothy M. Pawlik, Ihab R. Kamel. Role of diagnostic radiology in the management of intrahepatic cholangiocarcinoma. Hepatoma Research, 2023, 9: 28 DOI:10.20517/2394-5079.2023.29

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References

[1]

Jiang Y,Li F.The epidemiological trends of biliary tract cancers in the United States of America.BMC Gastroenterol2022;22:546 PMCID:PMC9801670

[2]

Sripa B,Mulvenna J.The tumorigenic liver fluke Opisthorchis viverrini--multiple pathways to cancer.Trends Parasitol2012;28:395-407. PMCID:PMC3682777

[3]

Burak K,Pasha TM,Petz J.Incidence and risk factors for cholangiocarcinoma in primary sclerosing cholangitis.Am J Gastroenterol2004;99:523-6

[4]

Boberg KM,Mitchell S.Cholangiocarcinoma in primary sclerosing cholangitis: risk factors and clinical presentation.Scand J Gastroenterol2002;37:1205-11

[5]

Cheng R,Ye J,Chen Y.Prognostic value of site-specific metastases for patients with advanced intrahepatic cholangiocarcinoma: a SEER database analysis.Medicine2019;98:e18191 PMCID:PMC6919521

[6]

Chan KM,Yeh CN.Characterization of intrahepatic cholangiocarcinoma after curative resection: outcome, prognostic factor, and recurrence.BMC Gastroenterol2018;18:180 PMCID:PMC6278092

[7]

Bridgewater J,Khan SA.Guidelines for the diagnosis and management of intrahepatic cholangiocarcinoma.J Hepatol2014;60:1268-89

[8]

Kim SA,Lee KB.Intrahepatic mass-forming cholangiocarcinomas: enhancement patterns at multiphasic CT, with special emphasis on arterial enhancement pattern--correlation with clinicopathologic findings.Radiology2011;260:148-57

[9]

Hanna RF,Kased N,Peterson MR.Cirrhosis-associated hepatocellular nodules: correlation of histopathologic and MR imaging features.Radiographics2008;28:747-69

[10]

Granata V,Fusco R.Intrahepatic cholangiocarcinoma and its differential diagnosis at MRI: how radiologist should assess MR features.Radiol Med2021;126:1584-600

[11]

Granata V,Venanzio Setola S.Major and ancillary features according to LI-RADS in the assessment of combined hepatocellular-cholangiocarcinoma.Radiol Oncol2020;54:149-58 PMCID:PMC7276649

[12]

Fattach HE,Guerrache Y.Intrahepatic and hilar mass-forming cholangiocarcinoma: Qualitative and quantitative evaluation with diffusion-weighted MR imaging.Eur J Radiol2015;84:1444-51

[13]

Park HJ,Park MJ.Small intrahepatic mass-forming cholangiocarcinoma: target sign on diffusion-weighted imaging for differentiation from hepatocellular carcinoma.Abdom Imaging2013;38:793-801

[14]

Zou X,Li Z.Volumetric apparent diffusion coefficient histogram analysis in differentiating intrahepatic mass-forming cholangiocarcinoma from hepatocellular carcinoma.J Magn Reson Imaging2019;49:975-83

[15]

Joo I,Yoon JH.Imaging diagnosis of intrahepatic and perihilar cholangiocarcinoma: recent advances and challenges.Radiology2018;288:7-13

[16]

Heye T,Reiner CS.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.Radiology2013;266:812-21

[17]

Apisarnthanarax S,Cao M.External beam radiation therapy for primary liver cancers: an ASTRO clinical practice guideline.Pract Radiat Oncol2022;12:28-51

[18]

Kang Y,Kim SH,Choi BI.Intrahepatic mass-forming cholangiocarcinoma: enhancement patterns on gadoxetic acid-enhanced MR images.Radiology2012;264:751-60

[19]

Hyder O,Pulitano C.A nomogram to predict long-term survival after resection for intrahepatic cholangiocarcinoma: an Eastern and Western experience.JAMA Surg2014;149:432-8

[20]

Spolverato G,Kim Y.Tumor size predicts vascular invasion and histologic grade among patients undergoing resection of intrahepatic cholangiocarcinoma.J Gastrointest Surg2014;18:1284-91

[21]

Mavros MN,Alexiou VG.Treatment and Prognosis for patients with intrahepatic cholangiocarcinoma: systematic review and meta-analysis.JAMA Surg2014;149:565-74

[22]

Wang Y,Xia Y.Prognostic nomogram for intrahepatic cholangiocarcinoma after partial hepatectomy.J Clin Oncol2013;31:1188-95

[23]

Amin MB,Edge SB.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 Clin2017;67:93-9

[24]

Ma K,Wang L.Nomograms for predicting overall survival and cancer-specific survival in patients with surgically resected intrahepatic cholangiocarcinoma.Cancer Manag Res2019;11:6907-29 PMCID:PMC6664419

[25]

Shen H,Xia Y.A nomogram in predicting risks of intrahepatic cholangiocarcinoma after partial hepatectomy for hepatolithiasis.J Gastrointest Surg2021;25:2258-67

[26]

Aherne EA,Goldman DA.Intrahepatic cholangiocarcinoma: can imaging phenotypes predict survival and tumor genetics?.Abdom Radiol2018;43:2665-72 PMCID:PMC6113129

[27]

Zhao L,Liang M.Prediction for early recurrence of intrahepatic mass-forming cholangiocarcinoma: quantitative magnetic resonance imaging combined with prognostic immunohistochemical markers.Cancer Imaging2019;19:49 PMCID:PMC6631577

[28]

Xue B,Zhang M.A radiomic-based model of different contrast-enhanced CT phase for differentiate intrahepatic cholangiocarcinoma from inflammatory mass with hepatolithiasis.Abdom Radiol2021;46:3835-44

[29]

Ren S,Liu S.Clinical value of machine learning-based ultrasomics in preoperative differentiation between hepatocellular carcinoma and intrahepatic cholangiocarcinoma: a multicenter study.Front Oncol2021;11:749137 PMCID:PMC8604281

[30]

Xue B,Zheng M.Development and validation of a radiomic-based model for prediction of intrahepatic cholangiocarcinoma in patients with intrahepatic lithiasis complicated by imagologically diagnosed mass.Front Oncol2020;10:598253 PMCID:PMC7817533

[31]

Zhang J,Zhang X.Machine learning: an approach to preoperatively predict PD-1/PD-L1 expression and outcome in intrahepatic cholangiocarcinoma using MRI biomarkers.ESMO Open2020;5:e000910 PMCID:PMC7689588

[32]

Wang Y,Wang P.Deep learning radiomics to predict regional lymph node staging for hilar cholangiocarcinoma.Front Oncol2021;11:721460 PMCID:PMC8576333

[33]

Xu L,Luo C.Integrating intratumoral and peritumoral features to predict tumor recurrence in intrahepatic cholangiocarcinoma.Phys Med Biol2021;66:125001

[34]

Deng L,Zhan C.A novel clinical-radiomics model based on sarcopenia and radiomics for predicting the prognosis of intrahepatic cholangiocarcinoma after radical hepatectomy.Front Oncol2021;11:744311 PMCID:PMC8639693

[35]

Peng YT,Lin P.Preoperative ultrasound radiomics signatures for noninvasive evaluation of biological characteristics of intrahepatic cholangiocarcinoma.Acad Radiol2020;27:785-97

[36]

Liang W,Yang P.Novel nomogram for preoperative prediction of early recurrence in intrahepatic cholangiocarcinoma.Front Oncol2018;8:360 PMCID:PMC6131601

[37]

King MJ,Lee KM.Outcomes assessment in intrahepatic cholangiocarcinoma using qualitative and quantitative imaging features.Cancer Imaging2020;20:43 PMCID:PMC7333305

[38]

Park HJ,Park SY.Preoperative prediction of postsurgical outcomes in mass-forming intrahepatic cholangiocarcinoma based on clinical, radiologic, and radiomics features.Eur Radiol2021;31:8638-48

[39]

Chu H,Liang W.Radiomics using CT images for preoperative prediction of futile resection in intrahepatic cholangiocarcinoma.Eur Radiol2021;31:2368-76

[40]

Qin H,Zhang J.Machine-learning radiomics to predict early recurrence in perihilar cholangiocarcinoma after curative resection.Liver Int2021;41:837-50

[41]

Li MD,Liu JF.Preoperative survival prediction in intrahepatic cholangiocarcinoma using an ultrasound-based radiographic-radiomics signature.J Ultrasound Med2022;41:1483-95

[42]

Hao X,Hu X.A radiomics-based approach for predicting early recurrence in intrahepatic cholangiocarcinoma after surgical resection: a multicenter study.Annu Int Conf IEEE Eng Med Biol Soc2021;2021:3659-62

[43]

Yang Y,Zhou W.Multiparametric MRI-based radiomic signature for preoperative evaluation of overall survival in intrahepatic cholangiocarcinoma after partial hepatectomy.J Magn Reson Imaging2022;56:739-51

[44]

Nathan H,Vauthey JN.A proposed staging system for intrahepatic cholangiocarcinoma.Ann Surg Oncol2009;16:14-22

[45]

Jiang W,Tang ZY.A prognostic scoring system based on clinical features of intrahepatic cholangiocarcinoma: the Fudan score.Ann Oncol2011;22:1644-52

[46]

Ma X,Fang J.MRI features predict microvascular invasion in intrahepatic cholangiocarcinoma.Cancer Imaging2020;20:40 PMCID:PMC7310524

[47]

Tsukamoto M,Imai K.Predictors of cure of intrahepatic cholangiocarcinoma after hepatic resection.Anticancer Res2017;37:6971-5

[48]

Lee J,Kang TW,Choi D.Mass-forming intrahepatic cholangiocarcinoma: diffusion-weighted imaging as a preoperative prognostic marker.Radiology2016;281:119-28

[49]

Zhou Y,Xu C.Mass-forming intrahepatic cholangiocarcinoma: can diffusion-weighted imaging predict microvascular invasion?.J Magn Reson Imaging2019;50:315-24

[50]

de Jong MC,Sotiropoulos GC.Intrahepatic cholangiocarcinoma: an international multi-institutional analysis of prognostic factors and lymph node assessment.J Clin Oncol2011;29:3140-5

[51]

Ali SM,Mounajjed T.Model to predict survival after surgical resection of intrahepatic cholangiocarcinoma: the Mayo Clinic experience.HPB2015;17:244-50 PMCID:PMC4333786

[52]

Al-Adra DP,Axford SJ,Kneteman N.Treatment of unresectable intrahepatic cholangiocarcinoma with yttrium-90 radioembolization: a systematic review and pooled analysis.Eur J Surg Oncol2015;41:120-7 PMCID:PMC4316196

[53]

Chun YS,Vauthey JN.8th edition of the AJCC cancer staging manual: pancreas and hepatobiliary cancers.Ann Surg Oncol2018;25:845-7

[54]

Zhang XF,Weiss M.Should utilization of lymphadenectomy vary according to morphologic subtype of intrahepatic cholangiocarcinoma?.Ann Surg Oncol2019;26:2242-50

[55]

Tsilimigras DI,Paredes AZ.Predicting lymph node metastasis in intrahepatic cholangiocarcinoma.J Gastrointest Surg2021;25:1156-63

[56]

Weber SM,O'Reilly EM,Miyazaki M.Intrahepatic cholangiocarcinoma: expert consensus statement.HPB2015;17:669-80 PMCID:PMC4527852

[57]

Songthamwat M,Khuntikeo N.Evaluating a preoperative protocol that includes magnetic resonance imaging for lymph node metastasis in the cholangiocarcinoma screening and care program (CASCAP) in Thailand.World J Surg Oncol2017;15:176 PMCID:PMC5607577

[58]

Paño B,Ripoll E.Pathways of lymphatic spread in gynecologic malignancies.Radiographics2015;35:916-45

[59]

Park HS,Choi JY.Preoperative evaluation of bile duct cancer: MRI combined with MR cholangiopancreatography versus MDCT with direct cholangiography.AJR Am J Roentgenol2008;190:396-405

[60]

Hänninen EL,Jonas S.Magnetic resonance imaging including magnetic resonance cholangiopancreatography for tumor localization and therapy planning in malignant hilar obstructions.Acta Radiol2005;46:462-70

[61]

Park MS,Kim MJ.Preoperative staging accuracy of multidetector row computed tomography for extrahepatic bile duct carcinoma.J Comput Assist Tomogr2006;30:362-7

[62]

Fábrega-Foster K,Pawlik TM.Multimodality imaging of intrahepatic cholangiocarcinoma.Hepatobiliary Surg Nutr2017;6:67-78 PMCID:PMC5411278

[63]

Zhou Y,Gao X,Wang X.Apparent diffusion coefficient value of mass-forming intrahepatic cholangiocarcinoma: a potential imaging biomarker for prediction of lymph node metastasis.Abdom Radiol2020;45:3109-18

[64]

Ji GW,Zhang YD.A radiomics approach to predict lymph node metastasis and clinical outcome of intrahepatic cholangiocarcinoma.Eur Radiol2019;29:3725-35

[65]

Meng ZW,Zhu JH,Chen YL.A nomogram to predict lymph node metastasis before resection in intrahepatic cholangiocarcinoma.J Surg Res2018;226:56-63

[66]

Annunziata S,Pizzuto DA.Diagnostic accuracy of fluorine-18-fluorodeoxyglucose positron emission tomography in the evaluation of the primary tumor in patients with cholangiocarcinoma: a meta-analysis.Biomed Res Int2014;2014:247693 PMCID:PMC4052790

[67]

Fowler KJ,Linehan D.Imaging approach to hepatocellular carcinoma, cholangiocarcinoma, and metastatic colorectal cancer.Surg Oncol Clin N Am2015;24:19-40

[68]

Ma KW,She WH.Diagnostic and prognostic role of 18-FDG PET/CT in the management of resectable biliary tract cancer.World J Surg2018;42:823-34

[69]

Kirchner J,Deuschl C.18F-FDG PET/MR imaging in patients with suspected liver lesions: value of liver-specific contrast agent Gadobenate dimeglumine.PLoS One2017;12:e0180349 PMCID:PMC5500282

[70]

Dendl K,Kratochwil C.FAP and FAPI-PET/CT in malignant and non-malignant diseases: a perfect symbiosis?.Cancers2021;13:4946 PMCID:PMC8508433

[71]

Hicks RJ,Kallur KG,Mileshkin L.FAPI PET/CT: will it end the hegemony of 18F-FDG in oncology?.J Nucl Med2021;62:296-302

[72]

Veldhuijzen van Zanten SEM,Wijnhoven BPL.FAPI PET versus FDG PET, CT or MRI for staging pancreatic-, gastric- and cholangiocarcinoma: systematic review and head-to-head comparisons of diagnostic performances.Diagnostics2022;12:1958 PMCID:PMC9406684

[73]

Corona-Villalobos CP.Functional volumetric MRI in assessing treatment response to intra-arterial therapy of primary and secondary liver tumors.J Comput Assist Tomogr2014;38:513-7

[74]

Suzuki C,Jacobsson H.Interobserver and intraobserver variability in the response evaluation of cancer therapy according to RECIST and WHO-criteria.Acta Oncol2010;49:509-14

[75]

Chung YE,Park YN.Varying appearances of cholangiocarcinoma: radiologic-pathologic correlation.Radiographics2009;29:683-700

[76]

Halappa VG,Corona-Villalobos CP.Intrahepatic cholangiocarcinoma treated with local-regional therapy: quantitative volumetric apparent diffusion coefficient maps for assessment of tumor response.Radiology2012;264:285-94

[77]

Pandey A,Aliyari Ghasabeh M.Unresectable intrahepatic cholangiocarcinoma: multiparametric mr imaging to predict patient survival.Radiology2018;288:109-17

[78]

Pandey A,Ghasabeh MA.Baseline volumetric multiparametric mri: can it be used to predict survival in patients with unresectable intrahepatic cholangiocarcinoma undergoing transcatheter arterial chemoembolization?.Radiology2018;289:843-53

[79]

Cucchetti A,Mosconi C.Improving patient selection for selective internal radiation therapy of intra-hepatic cholangiocarcinoma: a meta-regression study.Liver Int2017;37:1056-64

[80]

Ibrahim SM,Lewandowski RJ.Treatment of unresectable cholangiocarcinoma using Yttrium-90 microspheres: results from a pilot study.Cancer2008;113:2119-28

[81]

Rafi S,El-Rayes B.Yttrium-90 radioembolization for unresectable standard-chemorefractory intrahepatic cholangiocarcinoma: survival, efficacy, and safety study.Cardiovasc Intervent Radiol2013;36:440-8.

[82]

Mouli S,Baker T.Yttrium-90 radioembolization for intrahepatic cholangiocarcinoma: safety, response, and survival analysis.J Vasc Interv Radiol2013;24:1227-34.

[83]

Mosconi C,Bruno A.Radiomics of cholangiocarcinoma on pretreatment CT can identify patients who would best respond to radioembolisation.Eur Radiol2020;30:4534-44

[84]

Hermann AL,Ronot M.SARAH trial groupRelationship of tumor radiation-absorbed dose to survival and response in hepatocellular carcinoma treated with transarterial radioembolization with 90Y in the SARAH study.Radiology2020;296:673-84.

[85]

Roosen J,Arntz MJ.Intraprocedural MRI-based dosimetry during transarterial radioembolization of liver tumours with holmium-166 microspheres (EMERITUS-1): a phase I trial towards adaptive, image-controlled treatment delivery.Eur J Nucl Med Mol Imaging2022;49:4705-15 PMCID:PMC9606012

[86]

Chen DS.Elements of cancer immunity and the cancer-immune set point..Nature2017;541:321-30

[87]

Kim JM.Immune escape to PD-L1/PD-1 blockade: seven steps to success (or failure).Ann Oncol2016;27:1492-504.

[88]

Shields AF,Sznol M.Immune modulation therapy and imaging: workshop report.J Nucl Med2018;59:410-7.

[89]

Ku YJ,Cha JH.Correlation between MRI and the level of tumor-infiltrating lymphocytes in patients with triple-negative breast cancer.AJR Am J Roentgenol2016;207:1146-51.

[90]

Ku YJ,Cha JH.Predicting the level of tumor‐infiltrating lymphocytes in patients with triple-negative breast cancer: Usefulness of breast MRI computer-aided detection and diagnosis.J Magn Reson Imaging2018;47:760-6

[91]

Zhang J,Zhao J.Intrahepatic cholangiocarcinoma: MRI texture signature as predictive biomarkers of immunophenotyping and survival.Eur Radiol2021;31:3661-72

[92]

Sebastian NT,Miller ED,Alexandra Diaz D.Stereotactic body radiation therapy is associated with improved overall survival compared to chemoradiation or radioembolization in the treatment of unresectable intrahepatic cholangiocarcinoma.Clin Transl Radiat Oncol2019;19:66-71 PMCID:PMC6734105

[93]

Brunner TB,Lewitzki V.Stereotactic body radiotherapy dose and its impact on local control and overall survival of patients for locally advanced intrahepatic and extrahepatic cholangiocarcinoma.Radiother Oncol2019;132:42-7

[94]

Brook OR,Mendiratta-Lala M.CT imaging findings after stereotactic radiotherapy for liver tumors.Gastroenterol Res Pract2015;2015:126245.

[95]

Navin PJ,Mendiratta-Lala M,Torbenson MS.Imaging features in the liver after stereotactic body radiation therapy.Radiographics2022;42:2131-48

[96]

Arimura H,Kamezawa H,Yamada M.Radiomics with artificial intelligence for precision medicine in radiation therapy.J Radiat Res2019;60:150-7 PMCID:PMC6373667

[97]

Peng Q,Fu K.Artificial intelligence prediction model for overall survival of clear cell renal cell carcinoma based on a 21-gene molecular prognostic score system.Aging2021;13:7361-81 PMCID:PMC7993746

[98]

He J,Xu J,Zhou X.The practical implementation of artificial intelligence technologies in medicine.Nat Med2019;25:30-6 PMCID:PMC6995276

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