Skip to main content
Erschienen in: European Radiology 9/2021

26.02.2021 | Gastrointestinal

Radiomics signature on dynamic contrast-enhanced MR images: a potential imaging biomarker for prediction of microvascular invasion in mass-forming intrahepatic cholangiocarcinoma

verfasst von: Yang Zhou, Guofeng Zhou, Jiulou Zhang, Chen Xu, Xiaolin Wang, Pengju Xu

Erschienen in: European Radiology | Ausgabe 9/2021

Einloggen, um Zugang zu erhalten

Abstract

Objective

To develop a radiomics signature based on dynamic contrast-enhanced (DCE) MR images for preoperative prediction of microvascular invasion (MVI) in patients with mass-forming intrahepatic cholangiocarcinoma (IMCC).

Methods

One hundred twenty-six patients with surgically resected single IMCC (34 MVI-positive and 92 MVI-negative) were enrolled and allocated to training and validation cohorts (7:3 ratio). Findings of clinical characteristics and MR features were analyzed. A radiomics signature was built on the basis of reproducible features by using the least absolute shrinkage and selection operator (LASSO) regression algorithm in the training cohort. The prediction performance of radiomics signature was evaluated by receiver operating characteristics curve (ROC) analysis. Internal validation was performed on an independent cohort containing 38 patients.

Results

Larger tumor size and higher radiomics score were positively correlated with MVI in both training cohort (p < 0.001, < 0.001, respectively) and validation cohort (p = 0.008, 0.001, respectively). The radiomics signature, consisting of seven wavelet features, showed optimal prediction performance in both training (AUC = 0.873) and validation cohorts (AUC = 0.850).

Conclusion

A radiomics signature derived from DCE-MRI of the liver can be a reliable imaging biomarker for predicting MVI of IMCC, which could aid in tailoring treatment strategies.

Key Points

• The radiomics signature based on dynamic contrast-enhanced magnetic resonance imaging can be a useful tool to preoperatively predict MVI of IMCC.
• Larger tumor size is positively correlated with MVI of IMCC.
Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
Zurück zum Zitat Bergquist A, von Seth E (2015) Epidemiology of cholangiocarcinoma. Best Pract Res Clin Gastroenterol 29:221–232CrossRef Bergquist A, von Seth E (2015) Epidemiology of cholangiocarcinoma. Best Pract Res Clin Gastroenterol 29:221–232CrossRef
2.
Zurück zum Zitat Sempoux C, Jibara G, Ward SC et al (2011) Intrahepatic cholangiocarcinoma: new insights in pathology. Semin Liver Dis 31:49–60CrossRef Sempoux C, Jibara G, Ward SC et al (2011) Intrahepatic cholangiocarcinoma: new insights in pathology. Semin Liver Dis 31:49–60CrossRef
3.
Zurück zum Zitat Squadroni M, Tondulli L, Gatta G, Mosconi S, Beretta G, Labianca R (2017) Cholangiocarcinoma. Crit Rev Oncol Hematol 116:11–31CrossRef Squadroni M, Tondulli L, Gatta G, Mosconi S, Beretta G, Labianca R (2017) Cholangiocarcinoma. Crit Rev Oncol Hematol 116:11–31CrossRef
4.
Zurück zum Zitat Lim JH (2003) Cholangiocarcinoma: morphologic classification according to growth pattern and imaging findings. AJR Am J Roentgenol 181:819–827CrossRef Lim JH (2003) Cholangiocarcinoma: morphologic classification according to growth pattern and imaging findings. AJR Am J Roentgenol 181:819–827CrossRef
5.
Zurück zum Zitat Weber SM, Ribero D, O’Reilly EM, Kokudo N, Miyazaki M, Pawlik TM (2015) Intrahepatic cholangiocarcinoma: expert consensus statement. HPB (Oxford) 17:669–680CrossRef Weber SM, Ribero D, O’Reilly EM, Kokudo N, Miyazaki M, Pawlik TM (2015) Intrahepatic cholangiocarcinoma: expert consensus statement. HPB (Oxford) 17:669–680CrossRef
6.
Zurück zum Zitat Cho SY, Park SJ, Kim SH et al (2010) Survival analysis of intrahepatic cholangiocarcinoma after resection. Ann Surg Oncol 17:1823–1830CrossRef Cho SY, Park SJ, Kim SH et al (2010) Survival analysis of intrahepatic cholangiocarcinoma after resection. Ann Surg Oncol 17:1823–1830CrossRef
7.
Zurück zum Zitat Tang Z, Liu WR, Zhou PY et al (2019) Prognostic value and predication model of microvascular invasion in patients with intrahepatic cholangiocarcinoma. J Cancer 10:5575–5584CrossRef Tang Z, Liu WR, Zhou PY et al (2019) Prognostic value and predication model of microvascular invasion in patients with intrahepatic cholangiocarcinoma. J Cancer 10:5575–5584CrossRef
8.
Zurück zum Zitat Tsukamoto M, Yamashita YI, Imai K et al (2017) Predictors of cure of intrahepatic cholangiocarcinoma after hepatic resection. Anticancer Res 37:6971–6975PubMed Tsukamoto M, Yamashita YI, Imai K et al (2017) Predictors of cure of intrahepatic cholangiocarcinoma after hepatic resection. Anticancer Res 37:6971–6975PubMed
9.
Zurück zum Zitat Shao C, Chen J, Chen J, Shi J, Huang L, Qiu Y (2017) Histological classification of microvascular invasion to predict prognosis in intrahepatic cholangiocarcinoma. Int J Clin Exp Pathol 10:7674–7681PubMedPubMedCentral Shao C, Chen J, Chen J, Shi J, Huang L, Qiu Y (2017) Histological classification of microvascular invasion to predict prognosis in intrahepatic cholangiocarcinoma. Int J Clin Exp Pathol 10:7674–7681PubMedPubMedCentral
10.
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 50:315–324CrossRef Zhou Y, Wang X, Xu C et al (2019) Mass-forming intrahepatic cholangiocarcinoma: can diffusion-weighted imaging predict microvascular invasion? J Magn Reson Imaging 50:315–324CrossRef
11.
Zurück zum Zitat Ma X, Liu L, Fang J et al (2020) MRI features predict microvascular invasion in intrahepatic cholangiocarcinoma. Cancer Imaging 20:40CrossRef Ma X, Liu L, Fang J et al (2020) MRI features predict microvascular invasion in intrahepatic cholangiocarcinoma. Cancer Imaging 20:40CrossRef
12.
Zurück zum Zitat Yip SS, Aerts HJ (2016) Applications and limitations of radiomics. Phys Med Biol 61:R150–R166CrossRef Yip SS, Aerts HJ (2016) Applications and limitations of radiomics. Phys Med Biol 61:R150–R166CrossRef
13.
Zurück zum Zitat Wakabayashi T, Ouhmich F, Gonzalez-Cabrera C et al (2019) Radiomics in hepatocellular carcinoma: a quantitative review. Hepatol Int 13:546–559CrossRef Wakabayashi T, Ouhmich F, Gonzalez-Cabrera C et al (2019) Radiomics in hepatocellular carcinoma: a quantitative review. Hepatol Int 13:546–559CrossRef
14.
Zurück zum Zitat Saini A, Breen I, Pershad Y et al (2018) Radiogenomics and radiomics in liver cancers. Diagnostics (Basel) 9:4 Saini A, Breen I, Pershad Y et al (2018) Radiogenomics and radiomics in liver cancers. Diagnostics (Basel) 9:4
15.
Zurück zum Zitat Ma X, Wei J, Gu D et al (2019) Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT. Eur Radiol 29:3595–3605CrossRef Ma X, Wei J, Gu D et al (2019) Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT. Eur Radiol 29:3595–3605CrossRef
16.
Zurück zum Zitat Xu X, Zhang HL, Liu QP et al (2019) Radiomic analysis of contrast-enhanced CT predicts microvascular invasion and outcome in hepatocellular carcinoma. J Hepatol 70:1133–1144CrossRef Xu X, Zhang HL, Liu QP et al (2019) Radiomic analysis of contrast-enhanced CT predicts microvascular invasion and outcome in hepatocellular carcinoma. J Hepatol 70:1133–1144CrossRef
17.
Zurück zum Zitat Yang L, Gu D, Wei J et al (2019) A radiomics nomogram for preoperative prediction of microvascular invasion in hepatocellular carcinoma. Liver Cancer 8:373–386CrossRef Yang L, Gu D, Wei J et al (2019) A radiomics nomogram for preoperative prediction of microvascular invasion in hepatocellular carcinoma. Liver Cancer 8:373–386CrossRef
18.
Zurück zum Zitat Liang W, Xu L, Yang P et al (2018) Novel nomogram for preoperative prediction of early recurrence in intrahepatic cholangiocarcinoma. Front Oncol 8:360CrossRef Liang W, Xu L, Yang P et al (2018) Novel nomogram for preoperative prediction of early recurrence in intrahepatic cholangiocarcinoma. Front Oncol 8:360CrossRef
19.
Zurück zum Zitat Ji GW, Zhu FP, Zhang YD et al (2019) A radiomics approach to predict lymph node metastasis and clinical outcome of intrahepatic cholangiocarcinoma. Eur Radiol 29:3725–3735CrossRef Ji GW, Zhu FP, Zhang YD et al (2019) A radiomics approach to predict lymph node metastasis and clinical outcome of intrahepatic cholangiocarcinoma. Eur Radiol 29:3725–3735CrossRef
20.
Zurück zum Zitat Uno M, Shimada K, Yamamoto Y et al (2012) Periductal infiltrating type of intrahepatic cholangiocarcinoma: a rare macroscopic type without any apparent mass. Surg Today 42:1189–1194CrossRef Uno M, Shimada K, Yamamoto Y et al (2012) Periductal infiltrating type of intrahepatic cholangiocarcinoma: a rare macroscopic type without any apparent mass. Surg Today 42:1189–1194CrossRef
21.
Zurück zum Zitat Shimada K, Sano T, Sakamoto Y, Esaki M, Kosuge T, Ojima H (2007) Surgical outcomes of the mass-forming plus periductal infiltrating types of intrahepatic cholangiocarcinoma: a comparative study with the typical mass-forming type of intrahepatic cholangiocarcinoma. World J Surg 31:2016–2022CrossRef Shimada K, Sano T, Sakamoto Y, Esaki M, Kosuge T, Ojima H (2007) Surgical outcomes of the mass-forming plus periductal infiltrating types of intrahepatic cholangiocarcinoma: a comparative study with the typical mass-forming type of intrahepatic cholangiocarcinoma. World J Surg 31:2016–2022CrossRef
22.
Zurück zum Zitat Cong WM, Bu H, Chen J et al (2016) Practice guidelines for the pathological diagnosis of primary liver cancer: 2015 update. World J Gastroenterol 22:9279–9287CrossRef Cong WM, Bu H, Chen J et al (2016) Practice guidelines for the pathological diagnosis of primary liver cancer: 2015 update. World J Gastroenterol 22:9279–9287CrossRef
23.
Zurück zum Zitat Hu HT, Wang Z, Kuang M, Wang W (2018) Need for normalization: the non-standard reference standard for microvascular invasion diagnosis in hepatocellular carcinoma. World J Surg Oncol 16:50CrossRef Hu HT, Wang Z, Kuang M, Wang W (2018) Need for normalization: the non-standard reference standard for microvascular invasion diagnosis in hepatocellular carcinoma. World J Surg Oncol 16:50CrossRef
24.
Zurück zum Zitat Zhang X, Li J, Shen F, Lau WY (2018) Significance of presence of microvascular invasion in specimens obtained after surgical treatment of hepatocellular carcinoma. J Gastroenterol Hepatol 33:347–354CrossRef Zhang X, Li J, Shen F, Lau WY (2018) Significance of presence of microvascular invasion in specimens obtained after surgical treatment of hepatocellular carcinoma. J Gastroenterol Hepatol 33:347–354CrossRef
25.
Zurück zum Zitat Lewis S, Besa C, Wagner M et al (2018) Prediction of the histopathologic findings of intrahepatic cholangiocarcinoma: qualitative and quantitative assessment of diffusion-weighted imaging. Eur Radiol 28:2047–2057CrossRef Lewis S, Besa C, Wagner M et al (2018) Prediction of the histopathologic findings of intrahepatic cholangiocarcinoma: qualitative and quantitative assessment of diffusion-weighted imaging. Eur Radiol 28:2047–2057CrossRef
26.
Zurück zum Zitat Park HJ, Kim YK, Park MJ, Lee WJ (2013) Small intrahepatic mass-forming cholangiocarcinoma: target sign on diffusion-weighted imaging for differentiation from hepatocellular carcinoma. Abdom Imaging 38:793–801CrossRef Park HJ, Kim YK, Park MJ, Lee WJ (2013) Small intrahepatic mass-forming cholangiocarcinoma: target sign on diffusion-weighted imaging for differentiation from hepatocellular carcinoma. Abdom Imaging 38:793–801CrossRef
27.
Zurück zum Zitat Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33:159–174CrossRef Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33:159–174CrossRef
28.
Zurück zum Zitat Zhou HF, Han YQ, Lu J et al (2019) Radiomics facilitates candidate selection for irradiation stents among patients with unresectable pancreatic cancer. Front Oncol 9:973CrossRef Zhou HF, Han YQ, Lu J et al (2019) Radiomics facilitates candidate selection for irradiation stents among patients with unresectable pancreatic cancer. Front Oncol 9:973CrossRef
29.
Zurück zum Zitat Tibshirani R (2011) Regression shrinkage and selection via the lasso: a retrospective. J R Stat Soc Ser B Stat Methodol 73 Tibshirani R (2011) Regression shrinkage and selection via the lasso: a retrospective. J R Stat Soc Ser B Stat Methodol 73
30.
Zurück zum Zitat Martínez-Camblor P, Pardo-Fernández JC (2019) The Youden index in the generalized receiver operating characteristic curve context. Int J Biostat:15:/j/ijb.2019.15.issue-1/ijb-2018-0060/ijb-2018-0060.xml Martínez-Camblor P, Pardo-Fernández JC (2019) The Youden index in the generalized receiver operating characteristic curve context. Int J Biostat:15:/j/ijb.2019.15.issue-1/ijb-2018-0060/ijb-2018-0060.xml
31.
Zurück zum Zitat Bhattacharjee S, Kim CH, Park HG et al (2019) Multi-features classification of prostate carcinoma observed in histological sections: analysis of wavelet-based texture and colour features. Cancers (Basel):11 Bhattacharjee S, Kim CH, Park HG et al (2019) Multi-features classification of prostate carcinoma observed in histological sections: analysis of wavelet-based texture and colour features. Cancers (Basel):11
32.
Zurück zum Zitat Kim TY, Cho NH, Jeong GB, Bengtsson E, Choi HK (2014) 3D texture analysis in renal cell carcinoma tissue image grading. Comput Math Methods Med 2014:536217PubMedPubMedCentral Kim TY, Cho NH, Jeong GB, Bengtsson E, Choi HK (2014) 3D texture analysis in renal cell carcinoma tissue image grading. Comput Math Methods Med 2014:536217PubMedPubMedCentral
33.
Zurück zum Zitat Tang TY, Li X, Zhang Q et al (2020) Development of a novel multiparametric MRI radiomic nomogram for preoperative evaluation of early recurrence in resectable pancreatic cancer. J Magn Reson Imaging 52:231–245CrossRef Tang TY, Li X, Zhang Q et al (2020) Development of a novel multiparametric MRI radiomic nomogram for preoperative evaluation of early recurrence in resectable pancreatic cancer. J Magn Reson Imaging 52:231–245CrossRef
34.
Zurück zum Zitat Spolverato G, Ejaz A, Kim Y et al (2014) Tumor size predicts vascular invasion and histologic grade among patients undergoing resection of intrahepatic cholangiocarcinoma. J Gastrointest Surg 18:1284–1291CrossRef Spolverato G, Ejaz A, Kim Y et al (2014) Tumor size predicts vascular invasion and histologic grade among patients undergoing resection of intrahepatic cholangiocarcinoma. J Gastrointest Surg 18:1284–1291CrossRef
35.
Zurück zum Zitat Geneletti S, Richardson S, Best N (2009) Adjusting for selection bias in retrospective, case-control studies. Biostatistics 10:17–31CrossRef Geneletti S, Richardson S, Best N (2009) Adjusting for selection bias in retrospective, case-control studies. Biostatistics 10:17–31CrossRef
Metadaten
Titel
Radiomics signature on dynamic contrast-enhanced MR images: a potential imaging biomarker for prediction of microvascular invasion in mass-forming intrahepatic cholangiocarcinoma
verfasst von
Yang Zhou
Guofeng Zhou
Jiulou Zhang
Chen Xu
Xiaolin Wang
Pengju Xu
Publikationsdatum
26.02.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 9/2021
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-021-07793-1

Weitere Artikel der Ausgabe 9/2021

European Radiology 9/2021 Zur Ausgabe

Update Radiologie

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