Abstract
Objectives
To compare the performance of the quantitative analysis of the hepatobiliary phase (HBP) tumor enhancement in gadobenate dimeglumine (Gd-BOPTA)–enhanced MRI and of dual-tracer 18F-FDG and 18F-fluorocholine (FCH) PET/CT for the prediction of tumor aggressiveness and recurrence-free survival (RFS) in resectable hepatocellular carcinoma (HCC).
Methods
This retrospective, IRB approved study included 32 patients with 35 surgically proven HCCs. All patients underwent Gd-BOPTA-enhanced MRI including delayed HBP images, 18F-FDG PET/CT, and (for 29/32 patients) 18F-FCH PET/CT during the 2 months prior to surgery. For each lesion, the lesion-to-liver contrast enhancement ratio (LLCER) on MRI HBP images and the SUVmax tumor-to-liver ratio (SUVT/L) for both tracers were calculated. Their predictive value for aggressive pathological features—including the histological grade and microvascular invasion (MVI)—and RFS were analyzed and compared using area under receiver operating characteristic (AUROC) curves and Cox regression models, respectively.
Results
The AUROCs for the identification of aggressive HCCs on pathology with LLCER, 18F-FDG SUVT/L, and 18F-FCH SUVT/L were 0.92 (95% CI 0.78, 0.98), 0.89 (95% CI 0.74, 0.97; p = 0.70), and 0.64 (95% CI 0.45, 0.80; p = 0.035). At multivariate Cox regression analysis, LLCER was identified as an independent predictor of RFS (HR (95% CI) = 0.91 (0.84, 0.99), p = 0.022). LLCER − 4.72% or less also accurately predicted moderate-poor differentiation grade (Se = 100%, Sp = 92.9%) and MVI (Se = 93.3%, Sp = 60%) and identified patients with poor RFS after surgical resection (p = 0.030).
Conclusions
HBP tumor enhancement after Gd-BOPTA injection may help identify aggressive HCC pathological features, and patients with reduced recurrence-free survival after surgical resection.
Key Points
• In patients with resectable HCC, the quantitative analysis of the HBP tumor enhancement in Gd-BOPTA-enhanced MRI (LLCER) accurately identifies moderately-poorly differentiated and/or MVI-positive HCCs.
• After surgical resection for HCC, patients with LLCER − 4.72% or less had significantly poorer recurrence-free survival than patients with LLCER superior to − 4.72%.
• Gd-BOPTA-enhanced MRI with delayed HBP images may be suggested as part of pre-surgery workup in patients with resectable HCC.
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Abbreviations
- 18F-FDG:
-
18F-Fluorodeoxyglucose
- 18F-FCH:
-
18F-Fluorocholine
- AUROC:
-
Area under the ROC curve
- CI:
-
Confidence interval
- ESG:
-
Edmonson Steiner grade
- Gd-BOPTA:
-
Gadobenate dimeglubine
- HBP:
-
Hepatobiliary phase
- HCC:
-
Hepatocellular carcinoma
- HR:
-
Hazard ratios
- IRB:
-
Institutional Review Board
- LLCER:
-
Lesion-to-liver contrast enhancement ratio
- MVI:
-
Microvascular invasion
- NPV:
-
Negative predictive value
- PET/CT:
-
Positron emission tomography-CT
- PPV:
-
Positive predictive value
- RFS:
-
Recurrence-free survival
- ROI:
-
Region of interest
- VIBE:
-
Volumetric interpolated breath-hold examination
References
Duvoux C, Roudot-Thoraval F, Decaens T et al (2012) Liver transplantation for hepatocellular carcinoma: a model including alpha-fetoprotein improves the performance of Milan criteria. Gastroenterology 143:986–994.e983
Mazzaferro V, Llovet JM, Miceli R et al (2009) Predicting survival after liver transplantation in patients with hepatocellular carcinoma beyond the Milan criteria: a retrospective, exploratory analysis. Lancet Oncol 10:35–43
Mazzaferro V, Regalia E, Doci R et al (1996) Liver transplantation for the treatment of small hepatocellular carcinomas in patients with cirrhosis. N Engl J Med 334:693–699
Onaca N, Davis GL, Goldstein RM, Jennings LW, Klintmalm GB (2007) Expanded criteria for liver transplantation in patients with hepatocellular carcinoma: a report from the International Registry of Hepatic Tumors in Liver Transplantation. Liver Transpl 13:391–399
Yamamoto Y, Nishiyama Y, Kameyama R et al (2008) Detection of hepatocellular carcinoma using 11C-choline PET: comparison with 18F-FDG PET. J Nucl Med 49:1245–1248
Wu HB, Wang QS, Li BY, Li HS, Zhou WL, Wang QY (2011) F-18 FDG in conjunction with 11C-choline PET/CT in the diagnosis of hepatocellular carcinoma. Clin Nucl Med 36:1092–1097
Lim C, Salloum C, Chalaye J et al (2019) 18F-FDG PET/CT predicts microvascular invasion and early recurrence after liver resection for hepatocellular carcinoma: a prospective observational study. HPB (Oxford) 21:739–747
Talbot JN, Fartoux L, Balogova S et al (2010) Detection of hepatocellular carcinoma with PET/CT: a prospective comparison of 18F-fluorocholine and 18F-FDG in patients with cirrhosis or chronic liver disease. J Nucl Med 51:1699–1706
Castilla-Lievre MA, Franco D, Gervais P et al (2016) Diagnostic value of combining (1)(1)C-choline and (1)(8)F-FDG PET/CT in hepatocellular carcinoma. Eur J Nucl Med Mol Imaging 43:852–859
Chalaye J, Costentin CE, Luciani A et al (2018) Positron emission tomography/computed tomography with 18F-fluorocholine improve tumor staging and treatment allocation in patients with hepatocellular carcinoma. J Hepatol 69:336–344
European Association for the Study of the Liver (2018) EASL clinical practice guidelines: management of hepatocellular carcinoma. J Hepatol 69:182–236
Kitao A, Matsui O, Yoneda N et al (2012) Hypervascular hepatocellular carcinoma: correlation between biologic features and signal intensity on gadoxetic acid-enhanced MR images. Radiology 265:780–789
Choi SY, Kim SH, Park CK et al (2018) Imaging features of gadoxetic acid-enhanced and diffusion-weighted MR imaging for identifying cytokeratin 19-positive hepatocellular carcinoma: a retrospective observational study. Radiology 286:897–908
Lee S, Kim SH, Lee JE, Sinn DH, Park CK (2017) Preoperative gadoxetic acid-enhanced MRI for predicting microvascular invasion in patients with single hepatocellular carcinoma. J Hepatol 67:526–534
Feng ST, Jia Y, Liao B et al (2019) Preoperative prediction of microvascular invasion in hepatocellular cancer: a radiomics model using Gd-EOB-DTPA-enhanced MRI. Eur Radiol 29:4648–4659
Lee S, Kim KW, Jeong WK et al (2019) Gadoxetic acid-enhanced MRI as a predictor of recurrence of HCC after liver transplantation. Eur Radiol. https://doi.org/10.1007/s00330-019-06424-0
Rimola J, Forner A, Sapena V et al (2019) Performance of gadoxetic acid MRI and diffusion-weighted imaging for the diagnosis of early recurrence of hepatocellular carcinoma. Eur Radiol. https://doi.org/10.1007/s00330-019-06351-0
Zech CJ, Ba-Ssalamah A, Berg T et al (2019) Consensus report from the 8th International Forum for Liver Magnetic Resonance Imaging. Eur Radiol. https://doi.org/10.1007/s00330-019-06369-4
Kang TW, Rhim H, Lee J et al (2016) Magnetic resonance imaging with gadoxetic acid for local tumour progression after radiofrequency ablation in patients with hepatocellular carcinoma. Eur Radiol 26:3437–3446
Manfredi R, Maresca G, Baron RL et al (1999) Delayed MR imaging of hepatocellular carcinoma enhanced by gadobenate dimeglumine (Gd-BOPTA). J Magn Reson Imaging 9:704–710
Theise NDCM, Franceschi S, Hytiroglou P, Kudo P, Park YN (2010) Hepatocellular carcinoma. In: Bosman FT, Carneiro F, Hruban RH, Theise ND (eds) WHO Classification of Tumours of the Digestive System, pp 205–216
Roux M, Pigneur F, Calderaro J et al (2015) Differentiation of focal nodular hyperplasia from hepatocellular adenoma: role of the quantitative analysis of gadobenate dimeglumine-enhanced hepatobiliary phase MRI. J Magn Reson Imaging 42:1249–1258
Lee JW, Paeng JC, Kang KW et al (2009) Prediction of tumor recurrence by 18F-FDG PET in liver transplantation for hepatocellular carcinoma. J Nucl Med 50:682–687
Reizine E, Amaddeo G, Pigneur F et al (2018) Quantitative correlation between uptake of Gd-BOPTA on hepatobiliary phase and tumor molecular features in patients with benign hepatocellular lesions. Eur Radiol 28:4243–4253
Choi JY, Lee JM, Sirlin CB (2014) CT and MR imaging diagnosis and staging of hepatocellular carcinoma: part II. Extracellular agents, hepatobiliary agents, and ancillary imaging features. Radiology 273:30–50
Kimura Y, Sato S, Hitomi E et al (2014) Coexpression of organic anion-transporting polypeptides 1B3 and multidrug-resistant proteins 2 increases the enhancement effect of gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid on hepatocellular carcinoma in magnetic resonance imaging. Hepatol Res 44:327–337
Lucignani G (2009) SUV and segmentation: pressing challenges in tumour assessment and treatment. Eur J Nucl Med Mol Imaging 36:715–720
Fujita N, Nishie A, Kubo Y et al (2015) Hepatocellular carcinoma: clinical significance of signal heterogeneity in the hepatobiliary phase of gadoxetic acid-enhanced MR imaging. Eur Radiol 25:211–220
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The scientific guarantor of this publication is Pr. Alain Luciani.
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The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
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One of the authors has significant statistical expertise (Dr. Arthur Tenenhaus).
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Written informed consent was not required for this study due to the retrospective design and the non-interventional nature of the study. All patients were informed in writing of the study protocol and objectives.
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Institutional Review Board approval was obtained.
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• Retrospective
• Cross-sectional study
• Performed at one institution
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Mulé, S., Chalaye, J., Legou, F. et al. Hepatobiliary MR contrast agent uptake as a predictive biomarker of aggressive features on pathology and reduced recurrence-free survival in resectable hepatocellular carcinoma: comparison with dual-tracer 18F-FDG and 18F-FCH PET/CT. Eur Radiol 30, 5348–5357 (2020). https://doi.org/10.1007/s00330-020-06923-5
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DOI: https://doi.org/10.1007/s00330-020-06923-5