Quantification of the fat fraction in the liver using dual-energy computed tomography and multimaterial decomposition

Journal of Computer Assisted Tomography

Volumn 38, Issue 6, 2014, Pages 845-852

  Hur, Bo Yun ^a   Lee, Jeong Min ^a   Hyunsik, Woo ^a   Lee, Kyung Bun ^a   Joo, Ijin ^a   Han, Joon Koo ^a   Choi, Byung Ihn ^a  

^a Seoul National University Hospital   (South Korea)

Author keywords

Dual energy CT; Multimaterial decomposition; Quantification of the hepatic fat fraction; Rabbit fatty liver

Indexed keywords

CHEMICAL SHIFT; COMPUTERIZED TOMOGRAPHY; DISEASES; PATHOLOGY;

CHEMICAL SHIFT IMAGING; DUAL-ENERGY COMPUTED TOMOGRAPHY; DUAL-ENERGY CT; ENERGY; FATTY LIVER; HEPATIC STEATOSIS; MULTI MATERIALS; MULTIMATERIAL DECOMPOSITION; QUANTIFICATION OF THE HEPATIC FAT FRACTION; RABBIT FATTY LIVER;

MAGNETIC RESONANCE IMAGING;

ANIMAL EXPERIMENT; ANIMAL MODEL; ANIMAL TISSUE; ARTICLE; CHOLESTEROL DIET; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DUAL ENERGY COMPUTED TOMOGRAPHY; FATTY LIVER; HEPATIC FAT FRACTION; HEPATOBILIARY PARAMETERS; IMAGE ANALYSIS; INTERMETHOD COMPARISON; LIPID DIET; MULTIMATERIAL DECOMPOSITION; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PROTON NUCLEAR MAGNETIC RESONANCE; RADIATION DOSE; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SINGLE ENERGY COMPUTED TOMOGRAPHY; ADIPOSE TISSUE; ANIMAL; FEASIBILITY STUDY; MALE; PROCEDURES; RABBIT; RADIOGRAPHY;

ADIPOSE TISSUE; ANIMALS; FATTY LIVER; FEASIBILITY STUDIES; MALE; RABBITS; RADIOGRAPHY, DUAL-ENERGY SCANNED PROJECTION; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84918544581     PISSN: 03638715     EISSN: 15323145     Source Type: Journal    
DOI: 10.1097/RCT.0000000000000142     Document Type: Article

References (62)

1. McCullough AJ. Update on nonalcoholic fatty liver disease. J Clin Gastroenterol. 2002;34:255-262.
2. Regimbeau JM, Colombat M, Mognol P, et al. Obesity and diabetes as a risk factor for hepatocellular carcinoma. Liver Transpl. 2004;10: S69-S73.
3. Bugianesi E, Leone N, Vanni E, et al. Expanding the natural history of nonalcoholic steatohepatitis: from cryptogenic cirrhosis to hepatocellular carcinoma. Gastroenterology. 2002;123:134-140.
4. Kooby DA, Fong Y, Suriawinata A, et al. Impact of steatosis on perioperative outcome following hepatic resection. J Gastrointest Surg. 2003;7:1034-1044.
5. Belghiti J, Hiramatsu K, Benoist S, et al. Seven hundred forty-seven hepatectomies in the 1990s: an update to evaluate the actual risk of liver resection. J Am Coll Surg. 2000;191:38-46.
6. Behrns KE, Tsiotos GG, DeSouza NF, et al. Hepatic steatosis as a potential risk factor for major hepatic resection. J Gastrointest Surg. 1998;2: 292-298.
7. Tsang LL, Chen CL, Huang TL, et al. Preoperative imaging evaluation of potential living liver donors: reasons for exclusion from donation in adult living donor liver transplantation. Transplant Proc. 2008;40: 2460-2462.
8. Park SH, KimPN, KimKW, et al. Macrovesicular hepatic steatosis in living liver donors: use of CT for quantitative and qualitative assessment. Radiology. 2006;239:105-112.
9. Kim SH, Lee JM, Kim JH, et al. Appropriateness of a donor liver with respect to macrosteatosis: application of artificial neural networks to US images-initial experience. Radiology. 2005;234:793-803.
10. Ploeg RJ, D'Alessandro AM, Knechtle SJ, et al. Risk factors for primary dysfunction after liver transplantation-A multivariate analysis. Transplantation. 1993;55:807-813.
11. Ratziu V, Charlotte F, Heurtier A, et al. Sampling variability of liver biopsy in nonalcoholic fatty liver disease. Gastroenterology. 2005;128: 1898-1906.
12. Smith EH. Complications of percutaneous abdominal fine-needle biopsy. Review. Radiology. 1991;178:253-258.
13. Yokoo T, Bydder M, Hamilton G, et al. Nonalcoholic fatty liver disease: diagnostic and fat-grading accuracy of low-flip-angle multiecho gradient-recalled-echo MR imaging at 1.5 T. Radiology. 2009;251:67-76.
14. Saadeh S, Younossi ZM, Remer EM, et al. The utility of radiological imaging in nonalcoholic fatty liver disease. Gastroenterology. 2002; 123:745-750.
15. Strauss S, Gavish E, Gottlieb P, et al. Interobserver and intraobserver variability in the sonographic assessment of fatty liver. AJR Am J Roentgenol. 2007;189:W320-W323.
16. Graif M, Yanuka M, Baraz M, et al. Quantitative estimation of attenuation in ultrasound video images: correlation with histology in diffuse liver disease. Invest Radiol. 2000;35:319-324.
17. Levenson H, Greensite F, Hoefs J, et al. Fatty infiltration of the liver: quantification with phase-contrast MR imaging at 1.5 T vs biopsy. AJR Am J Roentgenol. 1991;156:307-312.
18. Qayyum A, Goh JS, Kakar S, et al. Accuracy of liver fat quantification at MR imaging: comparison of out-of-phase gradient-echo and fat-saturated fast spin-echo techniques-initial experience. Radiology. 2005; 237:507-511.
19. Joe E, Lee JM, Kim KW, et al. Quantification of hepatic macrosteatosis in living, related liver donors using T1-independent, T2-corrected chemical shift MRI. J Magn Reson Imaging. 2012;36:1124-1130.
20. Thomsen C, Becker U, Winkler K, et al. Quantification of liver fat using magnetic resonance spectroscopy. Magn Reson Imaging. 1994; 12:487-495.
21. Tang A, Tan J, Sun M, et al. Nonalcoholic fatty liver disease: MR imaging of liver proton density fat fraction to assess hepatic steatosis. Radiology. 2013;267:422-431.
22. Hines CD, Frydrychowicz A, Hamilton G, et al. T(1) independent, T(2) corrected chemical shift based fat-water separation with multi-peak fat spectral modeling is an accurate and precise measure of hepatic steatosis. J Magn Reson Imaging. 2011;33:873-881.
23. Clark JM, Brancati FL, Diehl AM. Nonalcoholic fatty liver disease. Gastroenterology. 2002;122:1649-1657.
24. Johnston RJ, Stamm ER, Lewin JM, et al. Diagnosis of fatty infiltration of the liver on contrast enhanced CT: limitations of liver-minus-spleen attenuation difference measurements. Abdom Imaging. 1998;23:409-415.
25. Ricci C, Longo R, Gioulis E, et al. Noninvasive in vivo quantitative assessment of fat content in human liver. J Hepatol. 1997;27:108-113.
26. Kammen BF, Pacharn P, Thoeni RF, et al. Focal fatty infiltration of the liver: analysis of prevalence and CT findings in children and young adults. AJR Am J Roentgenol. 2001;177:1035-1039.
27. Kawata R, Sakata K, Kunieda T, et al. Quantitative evaluation of fatty liver by computed tomography in rabbits. AJR Am J Roentgenol. 1984; 142:741-746.
28. Wang B, Gao Z, Zou Q, et al. Quantitative diagnosis of fatty liver with dual-energy CT. An experimental study in rabbits. Acta Radiol. 2003; 44:92-97.
29. Limanond P, Raman SS, Lassman C, et al.Macrovesicular hepatic steatosis in living related liver donors: correlation between CT and histologic findings. Radiology. 2004;230:276-280.
30. Lee SW, Park SH, Kim KW, et al. Unenhanced CT for assessment of macrovesicular hepatic steatosis in living liver donors: comparison of visual grading with liver attenuation index. Radiology. 2007;244:479-485.
31. Panicek DM, Giess CS, Schwartz LH. Qualitative assessment of liver for fatty infiltration on contrast-enhanced CT: is muscle a better standard of reference than spleen? J Comput Assist Tomogr. 1997;21:699-705.
32. Raptopoulos V, Karellas A, Bernstein J, et al. Value of dual-energy CT in differentiating focal fatty infiltration of the liver from low-density masses. AJR Am J Roentgenol. 1991;157:721-725.
33. Mendler MH, Bouillet P, Le Sidaner A, et al. Dual-energy CT in the diagnosis and quantification of fatty liver: limited clinical value in comparison to ultrasound scan and single-energy CT, with special reference to iron overload. J Hepatol. 1998;28:785-794.
34. Goldberg HI, Cann CE, Moss AA, et al. Noninvasive quantitation of liver iron in dogs with hemochromatosis using dual-energy CT scanning. Invest Radiol. 1982;17:375-380.
35. Liu X, Yu L, Primak AN, et al. Quantitative imaging of element composition and mass fraction using dual-energy CT: three-material decomposition. Med Phys. 2009;36:1602-1609.
36. Fu JF, Fang YL, Liang L, et al. A rabbit model of pediatric nonalcoholic steatohepatitis: the role of adiponectin. World J Gastroenterol. 2009; 15:912-918.
37. Mendonca P, Lamb P, Sahani D. A flexible method for multi-material decomposition of dual-energy CT images. IEEE Trans Med Imaging. 2013.
38. Andras Kriston, Paulo Mendonça, Alvin Silva, et al. Liver fat quantification using fast kVp-switching dual energy CT. Proc. 2011. doi:10.1117/12.878206.
39. Fischer MA, Gnannt R, Raptis D, et al. Quantification of liver fat in the presence of iron and iodine: an ex-vivo dual-energy CT study. Invest Radiol. 2011;46:351-358.
40. Reeder SB, Pineda AR, Wen Z, et al. Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL): application with fast spin-echo imaging. Magn Reson Med. 2005;54: 636-644.
41. Yushkevich PA, Piven J, Hazlett HC, et al. User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage. 2006;31:1116-1128.
42. Kleiner DE, Brunt EM, Van Natta M, et al. Design and validation of a histological scoring system for nonalcoholic fatty liver disease. Hepatology. 2005;41:1313-1321.
43. Oelckers S, Graeff W. In situ measurement of iron overload in liver tissue by dual-energy methods. Phys Med Biol. 1996;41:1149-1165.
44. Boll DT, Merkle EM. Diffuse liver disease: strategies for hepatic CT and MR imaging. Radiographics. 2009;29:1591-1614.
45. Ma X, Holalkere NS, Kambadakone RA, et al. Imaging-based quantification of hepatic fat: methods and clinical applications. Radiographics. 2009;29:1253-1277.
46. Zachrisson H, Engstrom E, Engvall J, et al. Soft tissue discrimination ex vivo by dual energy computed tomography. Eur J Radiol. 2010;75: e124-e8.
47. Robinson E, Babb J, Chandarana H, et al. Dual source dual energyMDCT: comparison of 80 kVp and weighted average 120 kVp data for conspicuity of hypo-vascular liver metastases. Invest Radiol. 2010;45:413-418.
48. Coursey CA, Nelson RC, Boll DT, et al. Dual-energy multidetector CT: how does it work, what can it tell us, and when can we use it in abdominopelvic imaging? Radiographics. 2010;30:1037-1055.
49. Goo HW. CT Radiation dose optimization and estimation: an update for radiologists. Korean J Radiol. 2012;13:1-11.
50. Yeh BM, Shepherd JA, Wang ZJ, et al. Dual-energy and low-kVp CT in the abdomen. AJR Am J Roentgenol. 2009;193:47-54.
51. McCormack L, Dutkowski P, El-Badry AM, et al. Liver transplantation using fatty livers: always feasible? J Hepatol. 2011;54:1055-1062.
52. Reeder SB, Hu HH, Sirlin CB. Proton density fat-fraction: a standardized MR-based biomarker of tissue fat concentration. J Magn Reson Imaging. 2012;36:1011-1014.
53. Runge JH, Bakker PJ, Gaemers IC, et al. Measuring liver triglyceride content in mice: non-invasive magnetic resonance methods as an alternative to histopathology. MAGMA. 2013.
54. d'Assignies G, Ruel M, Khiat A, et al. Noninvasive quantitation of human liver steatosis using magnetic resonance and bioassay methods. Eur Radiol. 2009;19:2033-2040.
55. Marsman H, Matsushita T, Dierkhising R, et al. Assessment of donor liver steatosis: pathologist or automated software? Hum Pathol. 2004;35:430-435.
56. Cotler SJ, Guzman G, Layden-Almer J, et al. Measurement of liver fat content using selective saturation at 3.0 T. J Magn Reson Imaging. 2007; 25:743-748.
57. Lee SS, Park SH, Kim HJ, et al. Non-invasive assessment of hepatic steatosis: prospective comparison of the accuracy of imaging examinations. J Hepatol. 2010;52:579-585.
58. Stal P, Hultcrantz R. Iron increases ethanol toxicity in rat liver. J Hepatol. 1993;17:108-115.
59. Asare GA, Kew MC, Mossanda KS, et al. Effects of exogenous antioxidants on dietary iron overload. J Clin Biochem Nutr. 2009;44: 85-94.
60. Valerio LG Jr., Petersen DR. Characterization of hepatic iron overload following dietary administration of dicyclopentadienyl iron (Ferrocene) to mice: cellular, biochemical, and molecular aspects. Exp Mol Pathol. 2000; 68:1-12.
61. Turbino-Ribeiro SM, Silva ME, Chianca DA Jr, et al. Iron overload in hypercholesterolemic rats affects iron homeostasis and serum lipids but not blood pressure. J Nutr. 2003;133:15-20.
62. Kudo H, Suzuki S,Watanabe A, et al. Effects of colloidal iron overload on renal and hepatic siderosis and the femur in male rats. Toxicology. 2008; 246:143-147.