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Prognostic value of LI-RADS category on gadoxetic acid–enhanced MRI and 18F-FDG PET-CT in patients with primary liver carcinomas

  • Hepatobiliary-Pancreas
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Abstract

Objectives

To evaluate the postoperative prognostic value of the Liver Imaging Reporting and Data System (LI-RADS) category on gadoxetic acid–enhanced MRI and 18F-fluorodeoxyglucose PET-CT in patients with primary liver carcinomas (PLCs).

Methods

A total of 189 patients with chronic liver disease and surgically proven single PLC (42 intrahepatic cholangiocarcinomas and 21 combined hepatocellular-cholangiocarcinomas and 126 hepatocellular carcinomas [2:1 matching to non-HCC malignancies]) were retrospectively evaluated with gadoxetic acid–enhanced MRI and PET-CT. Two independent reviewers assigned an LI-RADS category for each observation. The tumor-to-liver standardized uptake value ratio (TLR) was calculated. The overall survival (OS), recurrence-free survival (RFS), and the associated factors were evaluated.

Results

In multivariable analysis, LI-RADS category (LR-4 or LR-5 [LR-4/5] vs. LR-M; OS, hazard ratio [HR] 2.24, p = 0.006; RFS, HR 1.61, p = 0.028) and TLR (low, < 2.3 vs. high, ≥ 2.3; OS, HR 2.09, p = 0.014; RFS, HR 2.17, p < 0.001) were the independent factors for OS and RFS. For the LR-M group, the high TLR group showed lower OS and RFS rates than the low TLR group (OS, p = 0.008; RFS, p < 0.001). For the LR-4/5 group, the OS and RFS rates were not significantly different between the high TLR and low TLR groups (both p > 0.05).

Conclusions

Both LI-RADS category on MRI and TLR on PET-CT are associated with the postoperative prognosis of PLCs. The prognosis of PLCs classified as LR-M can be further stratified according to the TLR group, but not for the PLCs classified as LR-4/5.

Key Points

• The LI-RADS category (LR-4/5 vs. LR-M) and tumor-to-liver standardized uptake value ratio (TLR, low vs. high) were independent factors for postoperative prognosis of primary liver carcinomas (PLCs).

• For PLCs classified as LR-M, the TLR group helps stratify the postoperative prognosis of PLCs, with the high TLR group having a poor prognosis and the low TLR group having a better prognosis (p = 0.008 for OS and p < 0.001 for RFS).

• For PLCs classified as LR-4/5, the OS and RFS rates were not significantly different between the high TLR and low TLR groups (both p > 0.05).

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Abbreviations

cHCC-CC:

Combined hepatocellular-cholangiocarcinoma

CI:

Confidence interval

HCC:

Hepatocellular carcinoma

HR:

Hazard ratio

ICC:

Intrahepatic cholangiocarcinoma

LI-RADS:

Liver Imaging Reporting and Data System

MVI:

Microvascular invasion

OS:

Overall survival

PLC:

Primary liver carcinoma

RFS:

Recurrence-free survival

TLR:

Tumor-to-liver standardized uptake value ratio

References

  1. El-Serag HB (2011) Hepatocellular carcinoma. N Engl J Med 365:1118–1127

    Article  CAS  Google Scholar 

  2. American College of Radiology Liver Imaging Reporting and Data System version 2018. http://www.acr.org/Quality-Safety/Resources/LIRADS. Accessed January 2020

  3. Heimbach JK, Kulik LM, Finn RS et al (2018) AASLD guidelines for the treatment of hepatocellular carcinoma. Hepatology 67:358–380

    Article  Google Scholar 

  4. European Association for the Study of the Liver (2018) EASL clinical practice guidelines: management of hepatocellular carcinoma. J Hepatol 69:182–236

  5. Shaib YH, Davila JA, McGlynn K, El-Serag HB (2004) Rising incidence of intrahepatic cholangiocarcinoma in the United States: a true increase? J Hepatol 40:472–477

    Article  Google Scholar 

  6. Patel T (2001) Increasing incidence and mortality of primary intrahepatic cholangiocarcinoma in the United States. Hepatology 33:1353–1357

    Article  CAS  Google Scholar 

  7. Jeon SK, Joo I, Lee DH et al (2019) Combined hepatocellular cholangiocarcinoma: LI-RADS v2017 categorisation for differential diagnosis and prognostication on gadoxetic acid-enhanced MR imaging. Eur Radiol 29:373–382

    Article  Google Scholar 

  8. Choi SH, Lee SS, Park SH et al (2019) LI-RADS classification and prognosis of primary liver cancers at gadoxetic acid-enhanced MRI. Radiology 290:388–397

    Article  Google Scholar 

  9. An C, Park S, Chung YE et al (2017) Curative resection of single primary hepatic malignancy: Liver Imaging Reporting and Data System category LR-M portends a worse prognosis. AJR Am J Roentgenol 209:576–583

    Article  Google Scholar 

  10. Rigo P, Paulus P, Kaschten BJ et al (1996) Oncological applications of positron emission tomography with fluorine-18 fluorodeoxyglucose. Eur J Nucl Med 23:1641–1674

    Article  CAS  Google Scholar 

  11. Jiang L, Tan H, Panje CM, Yu H, Xiu Y, Shi H (2016) Role of 18F-FDG PET/CT imaging in intrahepatic cholangiocarcinoma. Clin Nucl Med 41:1–7

    Article  Google Scholar 

  12. Lee SM, Kim HS, Lee S, Lee JW (2019) Emerging role of (18)F-fluorodeoxyglucose positron emission tomography for guiding management of hepatocellular carcinoma. World J Gastroenterol 25:1289–1306

    Article  CAS  Google Scholar 

  13. Lim CH, Moon SH, Cho YS, Choi JY, Lee KH, Hyun SH (2019) Prognostic value of (18)F-fluorodeoxyglucose positron emission tomography/computed tomography in patients with combined hepatocellular-cholangiocarcinoma. Eur J Nucl Med Mol Imaging 46:1705–1712

    Article  CAS  Google Scholar 

  14. Song JY, Lee YN, Kim YS et al (2015) Predictability of preoperative 18F-FDG PET for histopathological differentiation and early recurrence of primary malignant intrahepatic tumors. Nucl Med Commun 36:319–327

    Article  CAS  Google Scholar 

  15. Tsurusaki M, Okada M, Kuroda H, Matsuki M, Ishii K, Murakami T (2014) Clinical application of 18F-fluorodeoxyglucose positron emission tomography for assessment and evaluation after therapy for malignant hepatic tumor. J Gastroenterol 49:46–56

    Article  CAS  Google Scholar 

  16. 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 291:72–80

    Article  Google Scholar 

  17. Min JH, Kim YK, Choi SY et al (2019) Intrahepatic mass-forming cholangiocarcinoma: arterial enhancement patterns at MRI and prognosis. Radiology 290:691–699

    Article  Google Scholar 

  18. Lee J, Kim SH, Kang TW, Song KD, Choi D, Jang KT (2016) Mass-forming intrahepatic cholangiocarcinoma: diffusion-weighted imaging as a preoperative prognostic marker. Radiology 281:119–128

    Article  Google Scholar 

  19. Bosman FT, Carneiro F, Hruban RH, Theise ND (2010) WHO classification of tumours of the digestive system. World Health Organization

  20. Rodriguez-Peralvarez M, Luong TV, Andreana L, Meyer T, Dhillon AP, Burroughs AK (2013) A systematic review of microvascular invasion in hepatocellular carcinoma: diagnostic and prognostic variability. Ann Surg Oncol 20:325–339

    Article  Google Scholar 

  21. Newson RB (2010) Comparing the predictive powers of survival models using Harrell’s C or Somers’ D. Stata J 10:339–358

    Article  Google Scholar 

  22. Song Y, Yang Y, Gao P et al (2017) The preoperative neutrophil to lymphocyte ratio is a superior indicator of prognosis compared with other inflammatory biomarkers in resectable colorectal cancer. BMC Cancer 17:744

    Article  Google Scholar 

  23. An C, Kim DW, Park YN, Chung YE, Rhee H, Kim MJ (2015) Single hepatocellular carcinoma: preoperative MR imaging to predict early recurrence after curative resection. Radiology 276:433–443

    Article  Google Scholar 

  24. Kierans AS, Leonardou P, Hayashi P et al (2010) MRI findings of rapidly progressive hepatocellular carcinoma. Magn Reson Imaging 28:790–796

    Article  Google Scholar 

  25. 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

    Article  Google Scholar 

  26. Rhee H, An C, Kim HY, Yoo JE, Park YN, Kim MJ (2019) Hepatocellular carcinoma with irregular rim-like arterial phase hyperenhancement: more aggressive pathologic features. Liver Cancer 8:24–40

    Article  CAS  Google Scholar 

  27. Roayaie S, Obeidat K, Sposito C et al (2013) Resection of hepatocellular cancer </=2 cm: results from two Western centers. Hepatology 57:1426–1435

    Article  Google Scholar 

  28. Kim SA, Lee JM, Lee KB et al (2011) Intrahepatic mass-forming cholangiocarcinomas: enhancement patterns at multiphasic CT, with special emphasis on arterial enhancement pattern--correlation with clinicopathologic findings. Radiology 260:148–157

    Article  Google Scholar 

  29. Park SH, Lee SS, Yu E et al (2017) Combined hepatocellular-cholangiocarcinoma: gadoxetic acid-enhanced MRI findings correlated with pathologic features and prognosis. J Magn Reson Imaging 46:267–280

    Article  Google Scholar 

  30. 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

    Article  Google Scholar 

  31. Kitamura K, Hatano E, Higashi T et al (2012) Preoperative FDG-PET predicts recurrence patterns in hepatocellular carcinoma. Ann Surg Oncol 19:156–162

    Article  Google Scholar 

  32. Ahn SG, Kim SH, Jeon TJ et al (2011) The role of preoperative [18F]fluorodeoxyglucose positron emission tomography in predicting early recurrence after curative resection of hepatocellular carcinomas. J Gastrointest Surg 15:2044–2052

    Article  Google Scholar 

  33. 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 156:976–986

    Article  Google Scholar 

  34. Joo I, Lee JM, Lee SM, Lee JS, Park JY, Han JK (2016) Diagnostic accuracy of Liver Imaging Reporting and Data System (LI-RADS) v2014 for intrahepatic mass-forming cholangiocarcinomas in patients with chronic liver disease on gadoxetic acid-enhanced MRI. J Magn Reson Imaging 44:1330–1338

    Article  Google Scholar 

  35. Lee HS, Kim MJ, An C (2019) How to utilize LR-M features of the LI-RADS to improve the diagnosis of combined hepatocellular-cholangiocarcinoma on gadoxetate-enhanced MRI? Eur Radiol 29:2408–2416

    Article  Google Scholar 

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Funding

The authors state that this work has not received any funding.

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Correspondence to Seong Hyun Kim.

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Guarantor

The scientific guarantor of this publication is Seong Hyun Kim (kshyun@skku.edu).

Conflict of interest

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.

Statistics and biometry

Two authors (Seon Woo Kim and Hye Seung Kim) have significant statistical expertise.

Informed consent

Written informed consent was waived by the Institutional Review Board.

Ethical approval

Institutional Review Board approval was obtained (IRB 2020-04-018).

Study subjects or cohorts overlap

Parts of the study samples were included in the prior report from our institution (Min et al Radiology 2019;290(3):691–699, Lee et al Radiology 2016 Oct;281(1):119–28, and Lim et al Eur J Nucl Med Mol Imaging 2019;46(8):1705-1712). Among the 63 patients with non-HCC (42 intrahepatic cholangiocarcinomas [ICC] and 21 combined hepatocellular-cholangiocarcinomas [cHCC-CC]), imaging findings of 23 (54.8%) ICCs and 12 (57.1%) combined cHCC-CCs have been previously reported. Previous studies focused on the imaging–pathology correlation and prognosis of ICCs using MRI (Min et al and Lee et al) or prognosis of cHCC-CCs using FDG PET-CT (Lim et al). Our current study evaluated the postoperative prognostic role of LI-RADS and PET-CT for ICCs and cHCC-CCs.

Methodology

• retrospective

• diagnostic or prognostic study

• performed at one institution

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Min, J.H., Kim, S.H., Hwang, J.A. et al. Prognostic value of LI-RADS category on gadoxetic acid–enhanced MRI and 18F-FDG PET-CT in patients with primary liver carcinomas. Eur Radiol 31, 3649–3660 (2021). https://doi.org/10.1007/s00330-020-07378-4

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