Skip to main content
Erschienen in:

08.08.2023 | Hepatobiliary-Pancreas

A multi-center diagnostic system for intrahepatic mass-forming cholangiocarcinoma based on preoperative MRI and clinical features

verfasst von: Ruofan Sheng, Yunfei Zhang, Heqing Wang, Weiguo Zhang, Kaipu Jin, Wei Sun, Yongming Dai, Jianjun Zhou, Mengsu Zeng

Erschienen in: European Radiology | Ausgabe 1/2024

Einloggen, um Zugang zu erhalten

Abstract

Objectives

To establish a non-invasive diagnostic system for intrahepatic mass-forming cholangiocarcinoma (IMCC) via decision tree analysis.

Methods

Totally 1008 patients with 504 pathologically confirmed IMCCs and proportional hepatocellular carcinomas (HCC) and combined hepatocellular cholangiocarcinomas (cHCC-CC) from multi-centers were retrospectively included (internal cohort n = 700, external cohort n = 308). Univariate and multivariate logistic regression analyses were applied to evaluate the independent clinical and MRI predictors for IMCC, and the selected features were used to develop a decision tree–based diagnostic system. Diagnostic efficacy of the established system was calculated by the receiver operating characteristic curve analysis in the internal training-testing and external validation cohorts, and also in small lesions  ≤ 3 cm.

Results

Multivariate analysis revealed that female, no chronic liver disease or cirrhosis, elevated carbohydrate antigen 19–9 (CA19-9) level, normal alpha-fetoprotein (AFP) level, lobulated tumor shape, progressive or persistent enhancement pattern, no enhancing tumor capsule, targetoid appearance, and liver surface retraction were independent characteristics favoring the diagnosis of IMCC over HCC or cHCC-CC (odds ratio = 3.273–25.00, p < 0.001 to p = 0.021). Among which enhancement pattern had the highest weight of 0.816. The diagnostic system incorporating significant characteristics above showed excellent performance in the internal training (area under the curve (AUC) 0.971), internal testing (AUC 0.956), and external validation (AUC 0.945) cohorts, as well as in small lesions  ≤ 3 cm (AUC 0.956).

Conclusions

In consideration of the great generalizability and clinical efficacy in multi-centers, the proposed diagnostic system may serve as a non-invasive, reliable, and easy-to-operate tool in IMCC diagnosis, providing an efficient approach to discriminate IMCC from other HCC-containing primary liver cancers.

Clinical relevance statement

This study established a non-invasive, easy-to-operate, and explainable decision tree–based diagnostic system for intrahepatic mass-forming cholangiocarcinoma, which may provide essential information for clinical decision-making.

Key Points

• Distinguishing intrahepatic mass-forming cholangiocarcinoma (IMCC) from other primary liver cancers is important for both treatment planning and outcome prediction.
• The MRI-based diagnostic system showed great performance with satisfying generalization ability in the diagnosis and discrimination of IMCC.
• The diagnostic system may serve as a non-invasive, easy-to-operate, and explainable tool in the diagnosis and risk stratification for IMCC.
Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
Zurück zum Zitat Sirica AE, Gores GJ, Groopman JD et al (2019) Intrahepatic cholangiocarcinoma: continuing challenges and translational advances. Hepatology 69:1803–1815CrossRefPubMed Sirica AE, Gores GJ, Groopman JD et al (2019) Intrahepatic cholangiocarcinoma: continuing challenges and translational advances. Hepatology 69:1803–1815CrossRefPubMed
2.
Zurück zum Zitat Saleh M, Virarkar M, Bura V et al (2020) Intrahepatic cholangiocarcinoma: pathogenesis, current staging, and radiological findings. Abdom Radiol (NY) 45:3662–3680CrossRefPubMed Saleh M, Virarkar M, Bura V et al (2020) Intrahepatic cholangiocarcinoma: pathogenesis, current staging, and radiological findings. Abdom Radiol (NY) 45:3662–3680CrossRefPubMed
3.
Zurück zum Zitat Lim JH (2003) Cholangiocarcinoma: morphologic classification according to growth pattern and imaging findings. AJR Am J Roentgenol 181:819–827CrossRefPubMed Lim JH (2003) Cholangiocarcinoma: morphologic classification according to growth pattern and imaging findings. AJR Am J Roentgenol 181:819–827CrossRefPubMed
5.
Zurück zum Zitat Garancini M, Goffredo P, Pagni F et al (2014) Combined hepatocellular-cholangiocarcinoma: a population-level analysis of an uncommon primary liver tumor. Liver Transpl 20:952–959CrossRefPubMed Garancini M, Goffredo P, Pagni F et al (2014) Combined hepatocellular-cholangiocarcinoma: a population-level analysis of an uncommon primary liver tumor. Liver Transpl 20:952–959CrossRefPubMed
6.
Zurück zum Zitat You MW, Yun SJ (2019) Differentiating between hepatocellular carcinoma and intrahepatic cholangiocarcinoma using contrast-enhanced MRI features: a systematic review and meta-analysis. Clin Radiol 74: 406 e409–406 e418 You MW, Yun SJ (2019) Differentiating between hepatocellular carcinoma and intrahepatic cholangiocarcinoma using contrast-enhanced MRI features: a systematic review and meta-analysis. Clin Radiol 74: 406 e409–406 e418
7.
Zurück zum Zitat Dageforde LA, Vachharajani N, Tabrizian P et al (2021) Multi-center analysis of liver transplantation for combined hepatocellular carcinoma-cholangiocarcinoma liver tumors. J Am Coll Surg 232:361–371CrossRefPubMed Dageforde LA, Vachharajani N, Tabrizian P et al (2021) Multi-center analysis of liver transplantation for combined hepatocellular carcinoma-cholangiocarcinoma liver tumors. J Am Coll Surg 232:361–371CrossRefPubMed
8.
Zurück zum Zitat Entezari P, Riaz A (2020) Intrahepatic cholangiocarcinoma. Semin Intervent Radiol 37:475-483 Entezari P, Riaz A (2020) Intrahepatic cholangiocarcinoma. Semin Intervent Radiol 37:475-483
9.
Zurück zum Zitat Ichikawa S, Isoda H, Shimizu T et al (2020) Distinguishing intrahepatic mass-forming biliary carcinomas from hepatocellular carcinoma by computed tomography and magnetic resonance imaging using the Bayesian method: a bi-center study. Eur Radiol 30:5992–6002CrossRefPubMed Ichikawa S, Isoda H, Shimizu T et al (2020) Distinguishing intrahepatic mass-forming biliary carcinomas from hepatocellular carcinoma by computed tomography and magnetic resonance imaging using the Bayesian method: a bi-center study. Eur Radiol 30:5992–6002CrossRefPubMed
10.
Zurück zum Zitat Ni T, Shang XS, Wang WT, Hu XX, Zeng MS, Rao SX (2018) Different MR features for differentiation of intrahepatic mass-forming cholangiocarcinoma from hepatocellular carcinoma according to tumor size. Br J Radiol 91:20180017CrossRefPubMedPubMedCentral Ni T, Shang XS, Wang WT, Hu XX, Zeng MS, Rao SX (2018) Different MR features for differentiation of intrahepatic mass-forming cholangiocarcinoma from hepatocellular carcinoma according to tumor size. Br J Radiol 91:20180017CrossRefPubMedPubMedCentral
11.
Zurück zum Zitat Choi SH, Lee SS, Park SH et al (2019) LI-RADS classification and prognosis of primary liver cancers at gadoxetic acid-enhanced MRI. Radiology 290:388–397CrossRefPubMed Choi SH, Lee SS, Park SH et al (2019) LI-RADS classification and prognosis of primary liver cancers at gadoxetic acid-enhanced MRI. Radiology 290:388–397CrossRefPubMed
12.
Zurück zum Zitat Nagtegaal ID, Odze RD, Klimstra D et al (2020) The 2019 WHO classification of tumours of the digestive system. Histopathology 76:182–188CrossRefPubMed Nagtegaal ID, Odze RD, Klimstra D et al (2020) The 2019 WHO classification of tumours of the digestive system. Histopathology 76:182–188CrossRefPubMed
13.
Zurück zum Zitat Sheng R, Sun W, Huang X et al (2022) Apparent diffusion coefficient MRI shows association with early progression of unresectable intrahepatic cholangiocarcinoma with combined targeted-immunotherapy. J Magn Reson Imaging 57:275–284CrossRefPubMed Sheng R, Sun W, Huang X et al (2022) Apparent diffusion coefficient MRI shows association with early progression of unresectable intrahepatic cholangiocarcinoma with combined targeted-immunotherapy. J Magn Reson Imaging 57:275–284CrossRefPubMed
14.
Zurück zum Zitat Choi SY, Kim YK, Min JH et al (2018) Added value of ancillary imaging features for differentiating scirrhous hepatocellular carcinoma from intrahepatic cholangiocarcinoma on gadoxetic acid-enhanced MR imaging. Eur Radiol 28:2549–2560CrossRefPubMed Choi SY, Kim YK, Min JH et al (2018) Added value of ancillary imaging features for differentiating scirrhous hepatocellular carcinoma from intrahepatic cholangiocarcinoma on gadoxetic acid-enhanced MR imaging. Eur Radiol 28:2549–2560CrossRefPubMed
15.
Zurück zum Zitat Chernyak V, Fowler KJ, Kamaya A et al (2018) Liver Imaging Reporting and Data System (LI-RADS) version 2018: imaging of hepatocellular carcinoma in at-risk patients. Radiology 289:816–830CrossRefPubMed Chernyak V, Fowler KJ, Kamaya A et al (2018) Liver Imaging Reporting and Data System (LI-RADS) version 2018: imaging of hepatocellular carcinoma in at-risk patients. Radiology 289:816–830CrossRefPubMed
16.
Zurück zum Zitat Myles AJ, Feudale RN, Liu Y, Woody NA, Brown SD (2004) An introduction to decision tree modeling. J Chemometr 18:275–285CrossRef Myles AJ, Feudale RN, Liu Y, Woody NA, Brown SD (2004) An introduction to decision tree modeling. J Chemometr 18:275–285CrossRef
17.
Zurück zum Zitat Song YY, Lu Y (2015) Decision tree methods: applications for classification and prediction. Shanghai Arch Psychiatry 27:130–135PubMedPubMedCentral Song YY, Lu Y (2015) Decision tree methods: applications for classification and prediction. Shanghai Arch Psychiatry 27:130–135PubMedPubMedCentral
18.
Zurück zum Zitat Kotsiantis SB (2013) Decision trees: a recent overview. Artif Intell Rev 39:261–283CrossRef Kotsiantis SB (2013) Decision trees: a recent overview. Artif Intell Rev 39:261–283CrossRef
19.
Zurück zum Zitat Massarweh NN, El-Serag HB (2017) Epidemiology of hepatocellular carcinoma and intrahepatic cholangiocarcinoma. Cancer Control 24:1073274817729245CrossRefPubMedPubMedCentral Massarweh NN, El-Serag HB (2017) Epidemiology of hepatocellular carcinoma and intrahepatic cholangiocarcinoma. Cancer Control 24:1073274817729245CrossRefPubMedPubMedCentral
20.
Zurück zum Zitat Weber SM, Ribero D, O'Reilly EM, Kokudo N, Miyazaki M, Pawlik TM (2015) Intrahepatic cholangiocarcinoma: expert consensus statement. HPB (Oxford) 17:669-680 Weber SM, Ribero D, O'Reilly EM, Kokudo N, Miyazaki M, Pawlik TM (2015) Intrahepatic cholangiocarcinoma: expert consensus statement. HPB (Oxford) 17:669-680
21.
Zurück zum Zitat Bertuccio P, Malvezzi M, Carioli G et al (2019) Global trends in mortality from intrahepatic and extrahepatic cholangiocarcinoma. J Hepatol 71:104–114CrossRefPubMed Bertuccio P, Malvezzi M, Carioli G et al (2019) Global trends in mortality from intrahepatic and extrahepatic cholangiocarcinoma. J Hepatol 71:104–114CrossRefPubMed
22.
Zurück zum Zitat Huang B, Wu L, Lu XY et al (2016) Small intrahepatic cholangiocarcinoma and hepatocellular carcinoma in cirrhotic livers may share similar enhancement patterns at multiphase dynamic MR imaging. Radiology 281:150–157CrossRefPubMed Huang B, Wu L, Lu XY et al (2016) Small intrahepatic cholangiocarcinoma and hepatocellular carcinoma in cirrhotic livers may share similar enhancement patterns at multiphase dynamic MR imaging. Radiology 281:150–157CrossRefPubMed
23.
Zurück zum Zitat Viganò L, Lleo A, Muglia R et al (2020) Intrahepatic cholangiocellular carcinoma with radiological enhancement patterns mimicking hepatocellular carcinoma. Updates Surg 72:413–421CrossRefPubMed Viganò L, Lleo A, Muglia R et al (2020) Intrahepatic cholangiocellular carcinoma with radiological enhancement patterns mimicking hepatocellular carcinoma. Updates Surg 72:413–421CrossRefPubMed
24.
Zurück zum Zitat Kovač JD, Janković A, Đikić-Rom A, Grubor N, Antić A, Dugalić V (2022) Imaging spectrum of intrahepatic mass-forming cholangiocarcinoma and its mimickers: how to differentiate them using MRI. Curr Oncol 29:698–723CrossRefPubMedPubMedCentral Kovač JD, Janković A, Đikić-Rom A, Grubor N, Antić A, Dugalić V (2022) Imaging spectrum of intrahepatic mass-forming cholangiocarcinoma and its mimickers: how to differentiate them using MRI. Curr Oncol 29:698–723CrossRefPubMedPubMedCentral
25.
Zurück zum Zitat Xu J, Igarashi S, Sasaki M et al (2012) Intrahepatic cholangiocarcinomas in cirrhosis are hypervascular in comparison with those in normal livers. Liver Int 32:1156–1164CrossRefPubMed Xu J, Igarashi S, Sasaki M et al (2012) Intrahepatic cholangiocarcinomas in cirrhosis are hypervascular in comparison with those in normal livers. Liver Int 32:1156–1164CrossRefPubMed
26.
Zurück zum Zitat Kierans AS, Lafata KJ, Ludwig DR et al (2022) Comparing survival outcomes of patients with LI-RADS-M hepatocellular carcinomas and intrahepatic cholangiocarcinomas. J Magn Reson Imaging 57:308–317CrossRefPubMed Kierans AS, Lafata KJ, Ludwig DR et al (2022) Comparing survival outcomes of patients with LI-RADS-M hepatocellular carcinomas and intrahepatic cholangiocarcinomas. J Magn Reson Imaging 57:308–317CrossRefPubMed
27.
Zurück zum Zitat van der Pol CB, Lim CS, Sirlin CB et al (2019) Accuracy of the Liver Imaging Reporting and Data System in computed tomography and magnetic resonance image analysis of hepatocellular carcinoma or overall malignancy-a systematic review. Gastroenterology 156:976–986CrossRefPubMed van der Pol CB, Lim CS, Sirlin CB et al (2019) Accuracy of the Liver Imaging Reporting and Data System in computed tomography and magnetic resonance image analysis of hepatocellular carcinoma or overall malignancy-a systematic review. Gastroenterology 156:976–986CrossRefPubMed
28.
Zurück zum Zitat Tang A, Bashir MR, Corwin MT et al (2018) Evidence supporting LI-RADS major features for CT- and MR imaging-based diagnosis of hepatocellular carcinoma: a systematic review. Radiology 286:29–48CrossRefPubMed Tang A, Bashir MR, Corwin MT et al (2018) Evidence supporting LI-RADS major features for CT- and MR imaging-based diagnosis of hepatocellular carcinoma: a systematic review. Radiology 286:29–48CrossRefPubMed
29.
Zurück zum Zitat Min JH, Kim YK, Choi SY et al (2017) Differentiation between cholangiocarcinoma and hepatocellular carcinoma with target sign on diffusion-weighted imaging and hepatobiliary phase gadoxetic acid-enhanced MR imaging: classification tree analysis applying capsule and septum. Eur J Radiol 92:1–10CrossRefPubMed Min JH, Kim YK, Choi SY et al (2017) Differentiation between cholangiocarcinoma and hepatocellular carcinoma with target sign on diffusion-weighted imaging and hepatobiliary phase gadoxetic acid-enhanced MR imaging: classification tree analysis applying capsule and septum. Eur J Radiol 92:1–10CrossRefPubMed
30.
Zurück zum Zitat Kim YY, Kim MJ, Kim EH, Roh YH, An C (2019) Hepatocellular carcinoma versus other hepatic malignancy in cirrhosis: performance of LI-RADS version 2018. Radiology 291:72–80CrossRefPubMed Kim YY, Kim MJ, Kim EH, Roh YH, An C (2019) Hepatocellular carcinoma versus other hepatic malignancy in cirrhosis: performance of LI-RADS version 2018. Radiology 291:72–80CrossRefPubMed
31.
Zurück zum Zitat Chen Y, Pan Y, Shen KR et al (2017) Contrast-enhanced multiple-phase imaging features of intrahepatic mass-forming cholangiocarcinoma and hepatocellular carcinoma with cirrhosis: a comparative study. Oncol Lett 14:4213–4219CrossRefPubMedPubMedCentral Chen Y, Pan Y, Shen KR et al (2017) Contrast-enhanced multiple-phase imaging features of intrahepatic mass-forming cholangiocarcinoma and hepatocellular carcinoma with cirrhosis: a comparative study. Oncol Lett 14:4213–4219CrossRefPubMedPubMedCentral
32.
Zurück zum Zitat Sheng R, Zeng M, Jin K, Zhang Y, Wu D, Sun H (2022) MRI-based nomogram predicts the risk of progression of unresectable hepatocellular carcinoma after combined lenvatinib and anti-PD-1 antibody therapy. Acad Radiol 29:819–829CrossRefPubMed Sheng R, Zeng M, Jin K, Zhang Y, Wu D, Sun H (2022) MRI-based nomogram predicts the risk of progression of unresectable hepatocellular carcinoma after combined lenvatinib and anti-PD-1 antibody therapy. Acad Radiol 29:819–829CrossRefPubMed
33.
Zurück zum Zitat 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) 41:978–989CrossRefPubMed 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) 41:978–989CrossRefPubMed
34.
Zurück zum Zitat Kang Y, Lee JM, Kim SH, Han JK, Choi BI (2012) Intrahepatic mass-forming cholangiocarcinoma: enhancement patterns on gadoxetic acid-enhanced MR images. Radiology 264:751–760CrossRefPubMed Kang Y, Lee JM, Kim SH, Han JK, Choi BI (2012) Intrahepatic mass-forming cholangiocarcinoma: enhancement patterns on gadoxetic acid-enhanced MR images. Radiology 264:751–760CrossRefPubMed
35.
Zurück zum Zitat Zhou Y, Wang X, Xu C et al (2019) Mass-forming intrahepatic cholangiocarcinoma: can diffusion-weighted imaging predict microvascular invasion? J Magn Reson Imaging 50:315–324CrossRefPubMed Zhou Y, Wang X, Xu C et al (2019) Mass-forming intrahepatic cholangiocarcinoma: can diffusion-weighted imaging predict microvascular invasion? J Magn Reson Imaging 50:315–324CrossRefPubMed
36.
Zurück zum Zitat Yang CM, Shu J (2021) Cholangiocarcinoma evaluation via imaging and artificial intelligence. Oncology 99:72–83CrossRefPubMed Yang CM, Shu J (2021) Cholangiocarcinoma evaluation via imaging and artificial intelligence. Oncology 99:72–83CrossRefPubMed
Metadaten
Titel
A multi-center diagnostic system for intrahepatic mass-forming cholangiocarcinoma based on preoperative MRI and clinical features
verfasst von
Ruofan Sheng
Yunfei Zhang
Heqing Wang
Weiguo Zhang
Kaipu Jin
Wei Sun
Yongming Dai
Jianjun Zhou
Mengsu Zeng
Publikationsdatum
08.08.2023
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 1/2024
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-023-10002-w

Neu im Fachgebiet Radiologie

KI-gestütztes Mammografiescreening überzeugt im Praxistest

Mit dem Einsatz künstlicher Intelligenz lässt sich die Detektionsrate im Mammografiescreening offenbar deutlich steigern. Mehr unnötige Zusatzuntersuchungen sind laut der Studie aus Deutschland nicht zu befürchten.

Stumme Schlaganfälle − ein häufiger Nebenbefund im Kopf-CT?

In 4% der in der Notfallambulanz initiierten zerebralen Bildgebung sind „alte“ Schlaganfälle zu erkennen. Gar nicht so selten handelt es sich laut einer aktuellen Studie dabei um unbemerkte Insulte. Bietet sich hier womöglich die Chance auf ein effektives opportunistisches Screening?

Die elektronische Patientenakte kommt: Das sollten Sie jetzt wissen

Am 15. Januar geht die „ePA für alle“ zunächst in den Modellregionen an den Start. Doch schon bald soll sie in allen Praxen zum Einsatz kommen. Was ist jetzt zu tun? Was müssen Sie wissen? Wir geben in einem FAQ Antworten auf 21 Fragen.

Stören weiße Wände und viel Licht die Bildqualitätskontrolle?

Wenn es darum geht, die technische Qualität eines Mammogramms zu beurteilen, könnten graue Wandfarbe und reduzierte Beleuchtung im Bildgebungsraum von Vorteil sein. Darauf deuten zumindest Ergebnisse einer kleinen Studie hin. 

Update Radiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.