Skip to main content
Log in

Does a combined CT and MRI protocol enhance the diagnostic efficacy of LI-RADS in the categorization of hepatic observations? A prospective comparative study

  • Hepatobiliary-Pancreas
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objective

To compare diagnostic performance and agreement between CT, MRI and combined CT/MRI in reference to LI-RADS classification system to categorize hepatic observations detected in hepatic patients during screening ultrasound.

Methods

240 patients with 296 liver observations detected during ultrasound surveillance underwent hepatic CT and MRI examinations, histopathology, and clinical and radiological follow-up. Using LI-RADS v2014, six radiologists evaluated the observations independently and assigned a LI-RADS category to each observation using CT, MRI and combined CT/MRI.

Results

Combined CT and MRI in LI-RADS yielded better accuracy (91.29 %), sensitivity (90.71 %) and specificity (92.31 %) for hepatocellular carcinoma (HCC) diagnosis than using MRI or CT alone; accuracy, sensitivity and specificity decreased to 85.37 %, 86.34 %, and 83.65 %, respectively, for MRI and 67.6 %, 54.10 % and 91.35 %, respectively, for CT. The intraclass agreement of the LI-RADS scores between CT, MRI and combined CT/MRI was excellent (κ=0.9624 (95 % CI: 0.9318–0.9806)).

Conclusion

CT and MRI are complementary to each other. Combined CT/MRI enabled a more precise determination of LI-RADS category of hepatic observations; however, due to the expense and minor increase in accuracy, the combined methodology should only be utilized in cases of suspected HCC.

Key Points

• Hepatic observation may be categorized differently depending on the imaging modality used.

• We compared LI-RADS categorization between CT, MRI and combined CT/MRI.

• MRI produces higher accuracy and sensitivity, while CT produces higher specificity.

• Combining CT and MRI improves LIRADS categorization reports.

• Considering additional cost, combined methodology could be restricted to challenging cases.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Abbreviations

AUC:

Area under the ROC curve

CI:

Confidence interval

CT:

Computed tomography

DWI:

Diffusion-weighted image

HCC:

Hepatocellular carcinoma

HU:

Hounsfield units

LI-RADS:

Liver Imaging Reporting and Data System

MDCT:

Multidetector computed tomography

MRI:

Magnetic resonance imaging

ROC:

Receiver operating characteristic

US:

Ultrasound

References

  1. Purysko AS, Remer EM, Coppa CP, Leão Filho HM, Thupili CR, Veniero JC (2012) LI-RADS: a case-based review of the new categorization of liver findings in patients with end-stage liver disease. Radiographics 32:1977–1995

    Article  PubMed  Google Scholar 

  2. Davis GL, Dempster J, Meler JD et al (2008) Hepatocellular carcinoma: management of an increasingly common problem. Proceedings (Baylor University. Medical Center) 21:266

    Article  Google Scholar 

  3. Bruix J, Sherman M (2011) Management of hepatocellular carcinoma: an update. Hepatology 53:1020–1022

    Article  PubMed  PubMed Central  Google Scholar 

  4. Liu D, Fong DY, Chan AC, Poon RT, Khong PL (2014) Hepatocellular carcinoma: surveillance CT schedule after hepatectomy based on risk stratification. Radiology 274:133–140

    Article  PubMed  Google Scholar 

  5. Choi JY, Lee JM, Sirlin CB (2014) CT and MR imaging diagnosis and staging of hepatocellular carcinoma: part I. Development, growth, and spread: key pathologic and imaging aspects. Radiology 272:635–654

    Article  PubMed  PubMed Central  Google Scholar 

  6. 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

    Article  PubMed  PubMed Central  Google Scholar 

  7. Zhang YD, Zhu FP, Xu X et al (2016) Classifying CT/MR findings in patients with suspicion of hepatocellular carcinoma: Comparison of liver imaging reporting and data system and criteria-free Likert scale reporting models. J Magn Reson Imaging 43:373–383

    Article  PubMed  Google Scholar 

  8. American College of Radiology (2014). Liver Imaging-Reporting And Data System. Published March 2011. Updated 2013. Available at: http://www.acr.org. Accessed July 2014.

  9. Mitchell DG, Bruix J, Sherman M, Sirlin CB (2015) LI-RADS (Liver Imaging Reporting and Data System): Summary, discussion, and consensus of the LI-RADS Management Working Group and future directions. Hepatology 61:1056–1065

    Article  PubMed  Google Scholar 

  10. Zhang YD, Zhu FP, Xu X et al (2016) Liver Imaging Reporting and Data System: Substantial Discordance Between CT and MR for Imaging Classification of Hepatic Nodules. Acad Radiol 23:344–352

    Article  PubMed  Google Scholar 

  11. Corwin MT, Fananapazir G, Jin M, Lamba R, Bashir MR (2016) Differences in liver imaging and reporting data system categorization between MRI and CT. Am J Roentgenol 206:307–312

    Article  Google Scholar 

  12. American College of Radiology (2015). Liver Imaging-Reporting and Data System, version 2014-C. Available at: http://www.acr.org/QualitySafety/Resources/LIRADS/. Accessed: December 2015.

  13. Cha, D. I., Jang, K. M., Kim, S. H., Kang, T. W., & Song, K. D. (2017). Liver Imaging Reporting and Data System on CT and gadoxetic acid-enhanced MRI with diffusion-weighted imaging. Eur Radiol 1-12

  14. Forner A, Vilana R, Ayuso C et al (2008) Diagnosis of hepatic nodules 20 mm or smaller in cirrhosis: prospective validation of the noninvasive diagnostic criteria for hepatocellular carcinoma. Hepatology 47:97–104

    Article  PubMed  Google Scholar 

  15. Sangiovanni A, Manini MA, Iavarone M et al (2010) The diagnostic and economic impact of contrast imaging techniques in the diagnosis of small hepatocellular carcinoma in cirrhosis. Gut 59:638–644

    Article  PubMed  Google Scholar 

  16. Leoni S, Piscaglia F, Golfieri R et al (2010) The impact of vascular and nonvascular findings on the noninvasive diagnosis of small hepatocellular carcinoma based on the EASL and AASLD criteria. Am J Gastroenterol 105:599

    Article  PubMed  Google Scholar 

  17. Khalili K, Kim TK, Jang HJ et al (2011) Optimization of imaging diagnosis of 1–2cm hepatocellular carcinoma: an analysis of diagnostic performance and resource utilization. J Hepatol 54:723–728

    Article  PubMed  Google Scholar 

  18. Sersté T, Barrau V, Ozenne V et al (2012) Accuracy and disagreement of computed tomography and magnetic resonance imaging for the diagnosis of small hepatocellular carcinoma and dysplastic nodules: role of biopsy. Hepatology 55:800–806

    Article  PubMed  Google Scholar 

  19. Furlan A, Marin D, Cabassa P et al (2012) Enhancement pattern of small hepatocellular carcinoma (HCC) at contrast-enhanced US (CEUS), MDCT, and MRI: intermodality agreement and comparison of diagnostic sensitivity between 2005 and 2010 American Association for the Study of Liver Diseases (AASLD) guidelines. Eur J Radiol 81:2099–2105

    Article  PubMed  Google Scholar 

  20. Lertpipopmetha K, Tubtawee T, Piratvisuth T, Chamroonkul N (2016) Comparison between Computer Tomography and Magnetic Resonance Imaging in the Diagnosis of Small Hepatocellular Carcinoma. Asian Pac J Cancer Prev 1 17:4805–4811

    Google Scholar 

  21. Hwang J, Kim SH, Lee MW, Lee JY (2012) Small (≤ 2 cm) hepatocellular carcinoma in patients with chronic liver disease: comparison of gadoxetic acid-enhanced 3.0 T MRI and multiphasic 64-multirow detector CT. Br J Radiol 85:e314–e322

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Park VY, Choi JY, Chung YE et al (2014) Dynamic enhancement pattern of HCC smaller than 3 cm in diameter on gadoxetic acid-enhanced MRI: comparison with multiphasic MDCT. Liver Int 34:1593–1602

    Article  CAS  PubMed  Google Scholar 

  23. Lin MT, Wang CC, Cheng YF et al (2016) Comprehensive Comparison of Multiple-Detector Computed Tomography and Dynamic Magnetic Resonance Imaging in the Diagnosis of Hepatocellular Carcinoma with Varying Degrees of Fibrosis. PloS one 11:e0166157

    Article  PubMed  PubMed Central  Google Scholar 

  24. Hayashida M, Ito K, Fujita T, Shimizu A, Sasaki K, Tanabe M, Matsunaga N (2008) Small hepatocellular carcinomas in cirrhosis: differences in contrast enhancement effects between helical CT and MR imaging during multiphasic dynamic imaging. Magn Reson Imaging 26:65–71

    Article  PubMed  Google Scholar 

  25. Honda H, Onitsuka H, Murakami J et al (1992) Characteristic findings of hepatocellular carcinoma: an evaluation with comparative study of US, CT, and MRI. Abdom Imaging 17:245–249

    CAS  Google Scholar 

  26. Pitton MB, Kloeckner R, Herber S, Otto G, Kreitner KF, Dueber C (2009) MRI versus 64-row MDCT for diagnosis of hepatocellular carcinoma. World J Gastroenterol: WJG 15:6044

    Article  PubMed  PubMed Central  Google Scholar 

  27. Kim YK, Kim CS, Chung YE et al (2006) Comparison of gadobenate dimeglumine-enhanced dynamic MRI and 16-MDCT for the detection of hepatocellular carcinoma. Am J Roentgenol 186:149–157

    Article  Google Scholar 

  28. An C, Rakhmonova G, Choi JY, Kim MJ (2016) Liver imaging reporting and data system (LI-RADS) version 2014: understanding and application of the diagnostic algorithm. Clin Mol Hepatol 22:296

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The authors thank Prof. Khalid Lakouz, Prof. Ahmad Sabry and Dr. Mohammad Hisham for their assistance with the medical illustrations and image preparation. In addition, they express great gratitude to all staff members and colleagues in Radiology department-Zagazig University for their helpful cooperation.

Funding

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

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mohammad Abd Alkhalik Basha.

Ethics declarations

Guarantor

The scientific guarantor of this publication is Mohammad Abd Alkhalik Basha, Radiology Department, Zagazig University, Egypt.

Conflict of interest

The authors of this manuscript declare no relevant conflicts of interest and no relationships with any companies whose products or services may be related to the subject matter of the article.

Statistics and biometry

The corresponding author has great statistical expertise

Ethical approval

Institutional review boards approval was obtained.

Informed consent

Written informed consent was obtained from all patients.

Methodology

• Prospective.

• Diagnostic or prognostic study.

• Performed at multiple centres.

Electronic supplementary material

ESM 1

(DOCX 20 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Basha, M.A.A., AlAzzazy, M.Z., Ahmed, A.F. et al. Does a combined CT and MRI protocol enhance the diagnostic efficacy of LI-RADS in the categorization of hepatic observations? A prospective comparative study. Eur Radiol 28, 2592–2603 (2018). https://doi.org/10.1007/s00330-017-5232-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-017-5232-y

Keywords

Navigation