Assessing liver function using dynamic Gd-EOB-DTPA-enhanced MRI with a standard 5-phase imaging protocol

Journal of Magnetic Resonance Imaging

Volumn 37, Issue 5, 2013, Pages 1109-1114

  Saito, Kazuhiro ^a   Ledsam, Joseph ^b   Sourbron, Steven ^b   Otaka, Jun ^a   Araki, Yoichi ^a   Akata, Soichi ^a   Tokuuye, Koichi ^a  

^a TOKYO MEDICAL UNIVERSITY   (Japan)

^b UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

DCE MRI; Gd EOB DTPA; liver function; perfusion MRI; tracer kinetic modeling

Indexed keywords

GADOXETIC ACID;

ADULT; AGED; ARTERY BLOOD FLOW; ARTICLE; BLOOD FLOW; CHILD PUGH SCORE; CHRONIC LIVER DISEASE; CONTRAST ENHANCEMENT; EXTRACELLULAR SPACE; FEMALE; HEMATOCRIT; HEPATITIS B; HEPATITIS C; HEPATOBILIARY SCINTISCANNING; HUMAN; KIDNEY CLEARANCE; LIVER CELL CARCINOMA; LIVER CIRRHOSIS; LIVER FUNCTION; LIVER PARENCHYMA; MAJOR CLINICAL STUDY; MALE; NONALCOHOLIC FATTY LIVER; NUCLEAR MAGNETIC RESONANCE IMAGING; PERFUSION WEIGHTED IMAGING; PRIMARY BILIARY CIRRHOSIS; PRIORITY JOURNAL;

AGED; ALGORITHMS; COMPUTER SIMULATION; CONTRAST MEDIA; END STAGE LIVER DISEASE; FEMALE; GADOLINIUM DTPA; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LIVER FUNCTION TESTS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84876462603     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.23907     Document Type: Article

References (31)

1. Manizate F, Hiotis SP, Labow D, Roayaie S, Schwartz M,. Liver functional reserve estimation: state of the art and relevance for local treatments: the Western perspective. J Hepatobil Pancreat Sci 2010; 17: 385-388.
2. Blomley MJ, Coulden R, Dawson P, et al. Liver perfusion studied with ultrafast CT. J Comput Assist Tomogr 1995; 19: 424-433.
3. Miles KA, Hayball MP, Dixon AK,. Functional images of hepatic perfusion obtained with dynamic CT. Radiology 1993; 188: 405-411.
4. Koh TS, Thng CH, Hartono S, et al. Dynamic contrast-enhanced CT imaging of hepatocellular carcinoma in cirrhosis: feasibility of a prolonged dual-phase imaging protocol with tracer kinetics modeling. Eur Radiol 2009; 19: 1184-1196.
5. Van Beers BE, Leconte I, Materne R, Smith AM, Jamart J, Horsmans Y,. Hepatic perfusion parameters in chronic liver disease: dynamic CT measurements correlated with disease severity. AJR Am J Roentgenol 2001; 176: 667-673.
6. Hagiwara M, Rusinek H, Lee VS, et al. Advanced liver fibrosis: diagnosis with 3D whole-liver perfusion MR imaging-initial experience. Radiology 2008; 246: 926-934.
7. Annet L, Materne R, Danse E, Jamart J, Horsmans Y, Van Beers BE,. Hepatic flow parameters measured with MR imaging and Doppler US: correlations with degree of cirrhosis and portal hypertension. Radiology 2003; 229: 409-414.
8. Zapletal C, Jahnke C, Mehrabi A, et al. Quantification of liver perfusion by dynamic magnetic resonance imaging: experimental evaluation and clinical pilot study. Liver Transpl 2009; 15: 693-700.
9. Schuhmann-Giampieri G,. Liver contrast media for magnetic resonance imaging. Interrelations between pharmacokinetics and imaging. Invest Radiol 1993; 28: 753-761.
10. Vogl TJ, Kummel S, Hammerstingl R, et al. Liver tumors: comparison of MR imaging with Gd-EOB-DTPA and Gd-DTPA. Radiology 1996; 200: 59-67.
11. Clement O, Siauve N, Lewin M, de Kerviler E, Cuenod CA, Frija G,. Contrast agents in magnetic resonance imaging of the liver: present and future. Biomed Pharmacother 1998; 52: 51-58.
12. Nilsson H, Blomqvist L, Douglas L, Nordell A, Jonas E,. Assessment of liver function in primary biliary cirrhosis using Gd-EOB-DTPA-enhanced liver MRI. HPB (Oxford) 2010; 12: 567-576.
13. Sourbron S, Sommer WH, Reiser MF, Zech CJ,. Combined quantification of liver perfusion and function with dynamic gadoxetic acid-enhanced MR imaging. Radiology 2012; 263: 874-883.
14. Saito K, Moriyasu F, Sugimoto K, et al. Diagnostic efficacy of gadoxetic acid-enhanced MRI for hepatocellular carcinoma and dysplastic nodule. World J Gastroenterol 2011; 17: 3503-3509.
15. Patlak CS, Blasberg RG, Fenstermacher JD,. Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. J Cereb Blood Flow Metab 1983; 3: 1-7.
16. Pedersen M, Shi Y, Anderson P, et al. Quantitation of differential renal blood flow and renal function using dynamic contrast-enhanced MRI in rats. Magn Reson Med 2004; 51: 510-517.
17. Sugahara K, Togashi H, Takahashi K, et al. Separate analysis of asialoglycoprotein receptors in the right and left hepatic lobes using Tc-GSA SPECT. Hepatology 2003; 38: 1401-1409.
18. de Graaf W, van Lienden KP, Dinant S, et al. Assessment of future remnant liver function using hepatobiliary scintigraphy in patients undergoing major liver resection. J Gastrointest Surg 2010; 14: 369-378.
19. Poynard T, Bedossa P,. Age and platelet count: a simple index for predicting the presence of histological lesions in patients with antibodies to hepatitis C virus. METAVIR and CLINIVIR Cooperative Study Groups. J Viral Hepat 1997; 4: 199-208.
20. Sourbron S, Ingrisch M, Siefert A, Reiser M, Herrmann K,. Quantification of cerebral blood flow, cerebral blood volume, and blood-brain-barrier leakage with DCE-MRI. Magn Reson Med 2009; 62: 205-217.
21. Do RK, Rusinek H, Taouli B,. Dynamic contrast-enhanced MR imaging of the liver: current status and future directions. Magn Reson Imaging Clin N Am 2009; 17: 339-349.
22. Ryeom HK, Kim SH, Kim JY, et al. Quantitative evaluation of liver function with MRI Using Gd-EOB-DTPA. Korean J Radiol 2004; 5: 231-239.
23. Nilsson H, Nordell A, Vargas R, Douglas L, Jonas E, Blomqvist L,. Assessment of hepatic extraction fraction and input relative blood flow using dynamic hepatocyte-specific contrast-enhanced MRI. J Magn Reson Imaging 2009; 29: 1323-1331.
24. Luypaert R, Sourbron S, de Mey J,. Validity of perfusion parameters obtained using the modified Tofts model: a simulation study. Magn Reson Med 2011; 65: 1491-1497.
25. Malhi H, Gores GJ,. Cellular and molecular mechanisms of liver injury. Gastroenterology 2008; 134: 1641-1654.
26. Van Beers BE, Materne R, Annet L, et al. Capillarization of the sinusoids in liver fibrosis: noninvasive assessment with contrast-enhanced MRI in the rabbit. Magn Reson Med 2003; 49: 692-699.
27. Sourbron SP, Buckley DL,. Tracer kinetic modelling in MRI: estimating perfusion and capillary permeability. Phys Med Biol 2012; 57: R1-33.
28. Koh TS, Bisdas S, Koh DM, Thng CH,. Fundamentals of tracer kinetics for dynamic contrast-enhanced MRI. J Magn Reson Imaging 2011; 34: 1262-1276.
29. Onishi H, Kim T, Imai Y, et al. Hypervascular hepatocellular carcinomas: detection with gadoxetate disodium-enhanced MR imaging and multiphasic multidetector CT. Eur Radiol 2011; 22: 845-854.
30. Befeler AS, Palmer DE, Hoffman M, Longo W, Solomon H, Di Bisceglie AM,. The safety of intra-abdominal surgery in patients with cirrhosis: model for end-stage liver disease score is superior to Child-Turcotte-Pugh classification in predicting outcome. Arch Surg 2005; 140: 650-654; discussion 655.
31. Herold C, Reck T, Fischler P, et al. Prognosis of a large cohort of patients with hepatocellular carcinoma in a single European centre. Liver 2002; 22: 23-28.