DOI QR코드

DOI QR Code

Intraindividual Comparison between Gadoxetate-Enhanced Magnetic Resonance Imaging and Dynamic Computed Tomography for Characterizing Focal Hepatic Lesions: A Multicenter, Multireader Study

  • An, Chansik (Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine) ;
  • Lee, Chang Hee (Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine) ;
  • Byun, Jae Ho (Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center) ;
  • Lee, Min Hee (Department of Radiology, Soonchunhyang University Bucheon Hospital) ;
  • Jeong, Woo Kyoung (Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine) ;
  • Choi, Sang Hyun (Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center) ;
  • Kim, Do Young (Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine) ;
  • Lim, Young-Suk (Department of Internal Medicine, University of Ulsan College of Medicine, Asan Medical Center) ;
  • Kim, Young Seok (Department of Internal Medicine, Soonchunhyang University Bucheon Hospital) ;
  • Kim, Ji Hoon (Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine) ;
  • Choi, Moon Seok (Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine) ;
  • Kim, Myeong-Jin (Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine)
  • 투고 : 2019.05.29
  • 심사 : 2019.08.15
  • 발행 : 2019.12.01

초록

Objective: To compare the diagnostic accuracy of dynamic computed tomography (CT) and gadoxetate-enhanced magnetic resonance imaging (MRI) for characterization of hepatic lesions by using the Liver Imaging Reporting and Data System (LI-RADS) in a multicenter, off-site evaluation. Materials and Methods: In this retrospective multicenter study, we evaluated 231 hepatic lesions (114 hepatocellular carcinomas [HCCs], 58 non-HCC malignancies, and 59 benign lesions) confirmed histologically in 217 patients with chronic liver disease who underwent both gadoxetate-enhanced MRI and dynamic CT at one of five tertiary hospitals. Four radiologists at different institutes independently reviewed all MR images first and the CT images 4 weeks later. They evaluated the major and ancillary imaging features and categorized each hepatic lesion according to the LI-RADS v2014. Diagnostic performance was calculated and compared using generalized estimating equations. Results: MRI showed higher sensitivity and accuracy than CT for diagnosing hepatic malignancies; the pooled sensitivities, specificities, and accuracies for categorizing LR-5/5V/M were 59.0% vs. 72.4% (CT vs. MRI; p < 0.001), 83.5% vs. 83.9% (p = 0.906), and 65.3% vs. 75.3% (p < 0.001), respectively. CT and MRI showed comparable capabilities for differentiating between HCC and other malignancies, with pooled accuracies of 79.9% and 82.4% for categorizing LR-M, respectively (p = 0.139). Conclusion: Gadoxetate-enhanced MRI showed superior accuracy for categorizing LR-5/5V/M in hepatic malignancies in comparison with dynamic CT. Both modalities had comparable accuracies for distinguishing other malignancies from HCC.

키워드

과제정보

The authors would like to thank Sungwon Kim, MD, Jun Tae Kim, and Kyunghwa Han, PhD, from the Department of Radiology, Yonsei University College of Medicine, for their assistance in data collection and preparation (S.K. and J.K.) and statistical analysis (K.H.).

참고문헌

  1. Marrero JA, Kulik LM, Sirlin CB, Zhu AX, Finn RS, Abecassis MM, et al. Diagnosis, staging, and management of hepatocellular carcinoma: 2018 practice guidance by the American Association for the Study of Liver Diseases. Hepatology 2018;68:723-750 https://doi.org/10.1002/hep.29913
  2. European Association for the Study of the Liver. EASL clinical practice guidelines: management of hepatocellular carcinoma. J Hepatol 2018;69:182-236 https://doi.org/10.1016/j.jhep.2018.03.019
  3. Omata M, Cheng AL, Kokudo N, Kudo M, Lee JM, Jia J, et al. Asia-Pacific clinical practice guidelines on the management of hepatocellular carcinoma: a 2017 update. Hepatol Int 2017;11:317-370 https://doi.org/10.1007/s12072-017-9799-9
  4. Korean Liver Cancer Study Group and Korean National Cancer Center. 2014 Korean Liver Cancer Study Group-National Cancer Center Korea practice guideline for the management of hepatocellular carcinoma. Korean J Radiol 2015;16:465-522 https://doi.org/10.3348/kjr.2015.16.3.465
  5. Kudo M, Trevisani F, Abou-Alfa GK, Rimassa L. Hepatocellular carcinoma: therapeutic guidelines and medical treatment. Liver Cancer 2016;6:16-26
  6. Kim YY, An C, Kim DY, Aljoqiman KS, Choi JY, Kim MJ. Failure of hepatocellular carcinoma surveillance: inadequate echogenic window and macronodular parenchyma as potential culprits. Ultrasonography 2019;38:311-320 https://doi.org/10.14366/usg.18051
  7. Rhee H, Kim MJ, Park YN, An C. A proposal of imaging classification of intrahepatic mass-forming cholangiocarcinoma into ductal and parenchymal types: clinicopathologic significance. Eur Radiol 2019;29:3111-3121 https://doi.org/10.1007/s00330-018-5898-9
  8. Kim YY, Park MS, Aljoqiman KS, Choi JY, Kim MJ. Gadoxetic acid-enhanced magnetic resonance imaging: hepatocellular carcinoma and mimickers. Clin Mol Hepatol 2019;25:223-233 https://doi.org/10.3350/cmh.2018.0107
  9. Han S, Choi JI, Park MY, Choi MH, Rha SE, Lee YJ. The diagnostic performance of liver MRI without intravenous contrast for detecting hepatocellular carcinoma: a casecontrolled feasibility study. Korean J Radiol 2018;19:568-577 https://doi.org/10.3348/kjr.2018.19.4.568
  10. Murakami T, Tsurusaki M. Hypervascular benign and malignant liver tumors that require differentiation from hepatocellular carcinoma: key points of imaging diagnosis. Liver Cancer 2014;3:85-96 https://doi.org/10.1159/000343864
  11. Chernyak V, Fowler KJ, Kamaya A, Kielar AZ, Elsayes KM, Bashir MR, et al. Liver imaging reporting and data system (LI-RADS) version 2018: imaging of hepatocellular carcinoma in at-risk patients. Radiology 2018;289:816-830 https://doi.org/10.1148/radiol.2018181494
  12. Cerny M, Bergeron C, Billiard JS, Murphy-Lavallee J, Olivie D, Berube J, et al. LI-RADS for MR imaging diagnosis of hepatocellular carcinoma: performance of major and ancillary features. Radiology 2018;288:118-128 https://doi.org/10.1148/radiol.2018171678
  13. Elsayes KM, Kielar AZ, Elmohr MM, Chernyak V, Masch WR, Furlan A, et al. White paper of the Society of Abdominal Radiology hepatocellular carcinoma diagnosis disease-focused panel on LI-RADS v2018 for CT and MRI. Abdom Radiol (NY) 2018;43:2625-2642
  14. Cerny M, Chernyak V, Olivie D, Billiard JS, Murphy-Lavallee J, Kielar AZ, et al. LI-RADS version 2018 ancillary features at MRI. Radiographics 2018;38:1973-2001 https://doi.org/10.1148/rg.2018180052
  15. Zech CJ, Ba-Ssalamah A, Berg T, Chandarana H, Chau GY, Grazioli L, et al. Consensus report from the 8th International Forum for Liver Magnetic Resonance Imaging. Eur Radiol 2019 Aug 5 [Epub ahead of print]. https://doi.org/10.1007/s00330-019-06369-4
  16. Li J, Wang J, Lei L, Yuan G, He S. The diagnostic performance of gadoxetic acid disodium-enhanced magnetic resonance imaging and contrast-enhanced multi-detector computed tomography in detecting hepatocellular carcinoma: a metaanalysis of eight prospective studies. Eur Radiol 2019 Jun 27 [Epub ahead of print]. https://doi.org/10.1007/s00330-019-06294-6
  17. Korean Society of Abdominal Radiology. Diagnosis of hepatocellular carcinoma with gadoxetic acid-enhanced MRI: 2016 consensus recommendations of the Korean Society of Abdominal Radiology. Korean J Radiol 2017;18:427-443 https://doi.org/10.3348/kjr.2017.18.3.427
  18. Imai Y, Katayama K, Hori M, Yakushijin T, Fujimoto K, Itoh T, et al. Prospective comparison of Gd-EOB-DTPA-enhanced MRI with dynamic CT for detecting recurrence of HCC after radiofrequency ablation. Liver Cancer 2017;6:349-359 https://doi.org/10.1159/000481416
  19. Roberts LR, Sirlin CB, Zaiem F, Almasri J, Prokop LJ, Heimbach JK, et al. Imaging for the diagnosis of hepatocellular carcinoma: a systematic review and meta-analysis. Hepatology 2018;67:401-421 https://doi.org/10.1002/hep.29487
  20. Hajian-Tilaki K. Sample size estimation in diagnostic test studies of biomedical informatics. J Biomed Inform 2014;48:193-204 https://doi.org/10.1016/j.jbi.2014.02.013
  21. Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, Vasan RS. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med 2008;27:157-172; discussion 207-212 https://doi.org/10.1002/sim.2929
  22. Liu X, Jiang H, Chen J, Zhou Y, Huang Z, Song B. Gadoxetic acid disodium-enhanced magnetic resonance imaging outperformed multidetector computed tomography in diagnosing small hepatocellular carcinoma: a meta-analysis. Liver Transpl 2017;23:1505-1518 https://doi.org/10.1002/lt.24867
  23. Choi SH, Lee SS, Kim SY, Park SH, Park SH, Kim KM, et al. Intrahepatic cholangiocarcinoma in patients with cirrhosis: differentiation from hepatocellular carcinoma by using gadoxetic acid-enhanced MR imaging and dynamic CT. Radiology 2017;282:771-781 https://doi.org/10.1148/radiol.2016160639
  24. Chen N, Motosugi U, Morisaka H, Ichikawa S, Sano K, Ichikawa T, et al. Added value of a gadoxetic acid-enhanced hepatocyte-phase image to the LI-RADS system for diagnosing hepatocellular carcinoma. Magn Reson Med Sci 2016;15:49-59 https://doi.org/10.2463/mrms.2014-0149
  25. Joo I, Lee JM, Lee DH, Ahn SJ, Lee ES, Han JK. Liver imaging reporting and data system v2014 categorization of hepatocellular carcinoma on gadoxetic acid-enhanced MRI: comparison with multiphasic multidetector computed tomography. J Magn Reson Imaging 2017;45:731-740 https://doi.org/10.1002/jmri.25406
  26. Kim YN, Song JS, Moon WS, Hwang HP, Kim YK. Intraindividual comparison of hepatocellular carcinoma imaging features on contrast-enhanced computed tomography, gadopentetate dimeglumine-enhanced MRI, and gadoxetic acid-enhanced MRI. Acta Radiol 2018;59:639-648 https://doi.org/10.1177/0284185117728534
  27. Fraum TJ, Tsai R, Rohe E, Ludwig DR, Salter A, Nalbantoglu I, et al. Differentiation of hepatocellular carcinoma from other hepatic malignancies in patients at risk: diagnostic performance of the liver imaging reporting and data system version 2014. Radiology 2018;286:158-172 https://doi.org/10.1148/radiol.2017170114
  28. Kim MJ, Lee S, An C. Problematic lesions in cirrhotic liver mimicking hepatocellular carcinoma. Eur Radiol 2019;29:5101-5110 https://doi.org/10.1007/s00330-019-06030-0
  29. Kim YY, Kim MJ, Kim EH, Roh YH, An C. Hepatocellular carcinoma versus other hepatic malignancy in cirrhosis: performance of LI-RADS version 2018. Radiology 2019;291:72-80 https://doi.org/10.1148/radiol.2019181995
  30. Lee HS, Kim MJ, An C. How to utilize LR-M features of the LI-RADS to improve the diagnosis of combined hepatocellular-cholangiocarcinoma on gadoxetate-enhanced MRI? Eur Radiol 2019;29:2408-2416 https://doi.org/10.1007/s00330-018-5893-1
  31. Ludwig DR, Fraum TJ, Cannella R, Ballard DH, Tsai R, Naeem M, et al. Hepatocellular carcinoma (HCC) versus non-HCC: accuracy and reliability of liver imaging reporting and data system v2018. Abdom Radiol (NY) 2019;44:2116-2132 https://doi.org/10.1007/s00261-019-01948-x
  32. Ronot M, Fouque O, Esvan M, Lebigot J, Aube C, Vilgrain V. Comparison of the accuracy of AASLD and LI-RADS criteria for the non-invasive diagnosis of HCC smaller than 3 cm. J Hepatol 2018;68:715-723 https://doi.org/10.1016/j.jhep.2017.12.014
  33. Becker AS, Barth BK, Marquez PH, Donati OF, Ulbrich EJ, Karlo C, et al. Increased interreader agreement in diagnosis of hepatocellular carcinoma using an adapted LI-RADS algorithm. Eur J Radiol 2017;86:33-40 https://doi.org/10.1016/j.ejrad.2016.11.004
  34. Barth BK, Donati OF, Fischer MA, Ulbrich EJ, Karlo CA, Becker A, et al. Reliability, validity, and reader acceptance of LIRADS-An in-depth analysis. Acad Radiol 2016;23:1145-1153 https://doi.org/10.1016/j.acra.2016.03.014
  35. Fowler KJ, Tang A, Santillan C, Bhargavan-Chatfield M, Heiken J, Jha RC, et al. Interreader reliability of LI-RADS version 2014 algorithm and imaging features for diagnosis of hepatocellular carcinoma: a large international multireader study. Radiology 2018;286:173-185 https://doi.org/10.1148/radiol.2017170376

피인용 문헌

  1. Characteristics of Recent Articles Published in the Korean Journal of Radiology Based on the Citation Frequency vol.21, pp.12, 2020, https://doi.org/10.3348/kjr.2020.1322
  2. Liver imaging reporting and data system category M: A systematic review and meta‐analysis vol.40, pp.6, 2020, https://doi.org/10.1111/liv.14420
  3. Clinical Application of Liver Imaging Reporting and Data System for Characterizing Liver Neoplasms: A Meta-Analysis vol.11, pp.2, 2019, https://doi.org/10.3390/diagnostics11020323
  4. Enhancing capsule in hepatocellular carcinoma: intra-individual comparison between CT and MRI with extracellular contrast agent vol.102, pp.12, 2019, https://doi.org/10.1016/j.diii.2021.06.004