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Quantification of pancreas fat on dual-energy computed tomography: comparison with six-point Dixon magnetic resonance imaging

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Abstract

Objectives

Although it is important to quantify the degree of fatty degeneration of the pancreas, it is difficult to make such a quantification using conventional computed tomography (CT). The present study evaluated the feasibility of pancreatic fat quantification by dual-energy CT (DECT) compared with T2*-corrected six-point Dixon magnetic resonance imaging (MRI).

Materials and methods

Twenty-eight patients who underwent both DECT (100 and 150 kVp) and Dixon MRI without the use of contrast agents were analyzed. The region of interest (ROI) was placed at the head and body/tail of the pancreas on fat volume fraction (FVF) maps generated using the multi-material decomposition (MMD) algorithm on DECT. The FVF (%) of pancreatic parenchyma measured by DECT (CT-FVF) was compared with that measured on FVF maps calculated using Dixon MRI (MR-FVF) using the Spearman rank correlation coefficient.

Results

The median CT-FVF (%) values of the head and body/tail of the pancreas on DECT were 14.2% (range 0.1–81.2%) and 9.4% (range 0–40.8%), respectively. The median MR-FVF (%) values of the head and body/tail of the pancreas on Dixon MRI were 12.2% (range 1.2–80.9%) and 8.1% (range 0.3–43.7%), respectively. CT-FVF (%) measured by DECT showed a significant correlation with the MR-FVF (%) measured by Dixon MRI in the head of the pancreas (ρ = 0.631, P < 0.001) as well as the body/tail of the pancreas (ρ = 0.526, P = 0.004).

Conclusion

DECT may be useful for quantifying the degree of fatty degeneration of the pancreas.

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Abbreviations

DECT:

Dual-energy computed tomography

MRI:

Magnetic resonance imaging

ROI:

Region of interest

FVF:

Fat volume fraction

References

  1. Tchernof A, Despres JP (2013) Pathophysiology of human visceral obesity: an update. Physiological Reviews 93:359-404

    Article  CAS  Google Scholar 

  2. Fox CS, Massaro JM, Hoffmann U et al (2007) Abdominal visceral and subcutaneous adipose tissue compartments: association with metabolic risk factors in the Framingham Heart Study. Circulation 116:39-48

    Article  Google Scholar 

  3. Wong VW, Wong GL, Yeung DK et al (2014) Fatty pancreas, insulin resistance, and beta-cell function: a population study using fat-water magnetic resonance imaging. American Journal of Gastroenterology 109:589-597

    Article  CAS  Google Scholar 

  4. Tushuizen ME, Bunck MC, Pouwels PJ et al (2007) Pancreatic fat content and beta-cell function in men with and without type 2 diabetes. Diabetes Care 30:2916-2921

    Article  CAS  Google Scholar 

  5. Lingvay I, Esser V, Legendre JL et al (2009) Noninvasive quantification of pancreatic fat in humans. Journal of Clinical Endocrinology and Metabolism 94:4070-4076

    Article  CAS  Google Scholar 

  6. Hu HH, Kim HW, Nayak KS, Goran MI (2010) Comparison of fat-water MRI and single-voxel MRS in the assessment of hepatic and pancreatic fat fractions in humans. Obesity (Silver Spring) 18:841-847

    Article  Google Scholar 

  7. Kuhn JP, Hernando D, Munoz del Rio A et al (2012) Effect of multipeak spectral modeling of fat for liver iron and fat quantification: correlation of biopsy with MR imaging results. Radiology 265:133-142

    Article  Google Scholar 

  8. Meisamy S, Hines CD, Hamilton G et al (2011) Quantification of hepatic steatosis with T1-independent, T2-corrected MR imaging with spectral modeling of fat: blinded comparison with MR spectroscopy. Radiology 258:767-775

    Article  Google Scholar 

  9. Yokoo T, Shiehmorteza M, Hamilton G et al (2011) Estimation of hepatic proton-density fat fraction by using MR imaging at 3.0 T. Radiology 258:749-759

    Article  Google Scholar 

  10. Kuhn JP, Berthold F, Mayerle J et al (2015) Pancreatic Steatosis Demonstrated at MR Imaging in the General Population: Clinical Relevance. Radiology 276:129-136

    Article  Google Scholar 

  11. Kodama Y, Ng CS, Wu TT et al (2007) Comparison of CT methods for determining the fat content of the liver. AJR: American Journal of Roentgenology 188:1307-1312

    Article  Google Scholar 

  12. Limanond P, Raman SS, Lassman C et al (2004) Macrovesicular hepatic steatosis in living related liver donors: correlation between CT and histologic findings. Radiology 230:276-280

    Article  Google Scholar 

  13. Fischer MA, Gnannt R, Raptis D et al (2011) Quantification of liver fat in the presence of iron and iodine: an ex-vivo dual-energy CT study. Investigative Radiology 46:351-358

    Article  CAS  Google Scholar 

  14. Hyodo T, Hori M, Lamb P et al (2017) Multimaterial Decomposition Algorithm for the Quantification of Liver Fat Content by Using Fast-Kilovolt-Peak Switching Dual-Energy CT: Experimental Validation. Radiology 282:381-389

    Article  Google Scholar 

  15. Hyodo T, Yada N, Hori M et al (2017) Multimaterial Decomposition Algorithm for the Quantification of Liver Fat Content by Using Fast-Kilovolt-Peak Switching Dual-Energy CT: Clinical Evaluation. Radiology 283:108-118

    Article  Google Scholar 

  16. Navina S, Acharya C, DeLany JP et al (2011) Lipotoxicity causes multisystem organ failure and exacerbates acute pancreatitis in obesity. Science Translational Medicine 3:107ra110

    Article  Google Scholar 

  17. Heni M, Machann J, Staiger H et al (2010) Pancreatic fat is negatively associated with insulin secretion in individuals with impaired fasting glucose and/or impaired glucose tolerance: a nuclear magnetic resonance study. Diabetes/Metabolism Research and Reviews 26:200-205

    Article  CAS  Google Scholar 

  18. Yokota K, Fukushima M, Takahashi Y, Igaki N, Seino S (2012) Insulin secretion and computed tomography values of the pancreas in the early stage of the development of diabetes. J Diabetes Investig 3:371-376

    Article  CAS  Google Scholar 

  19. Hoff FL, H G, NA H, RM G (2008) Pancreas: normal anatomy and examination techniques. In: Gore RM, Levine MS, eds. Textbook of gastrointestinal radiology Philadelphia, Pa: Saunders:1839–1853

  20. Ricci C, Longo R, Gioulis E et al (1997) Noninvasive in vivo quantitative assessment of fat content in human liver. Journal of Hepatology 27:108-113

    Article  CAS  Google Scholar 

  21. Sanyal AJ (2002) AGA technical review on nonalcoholic fatty liver disease. Gastroenterology 123:1705-1725

    Article  Google Scholar 

  22. Zinreich SJ, Kennedy DW, Malat J et al (1988) Fungal sinusitis: diagnosis with CT and MR imaging. Radiology 169:439-444

    Article  CAS  Google Scholar 

  23. Ly JN, Miller FH (2002) MR imaging of the pancreas: a practical approach. Radiologic Clinics of North America 40:1289-1306

    Article  Google Scholar 

  24. Kim SY, Kim H, Cho JY et al (2014) Quantitative assessment of pancreatic fat by using unenhanced CT: pathologic correlation and clinical implications. Radiology 271:104-112

    Article  Google Scholar 

  25. Henninger B, Zoller H, Kannengiesser S, Zhong X, Jaschke W, Kremser C (2017) 3D Multiecho Dixon for the Evaluation of Hepatic Iron and Fat in a Clinical Setting. 46:793–800

  26. Yoon JH, Lee JM, Lee KB et al (2016) Pancreatic Steatosis and Fibrosis: Quantitative Assessment with Preoperative Multiparametric MR Imaging. Radiology 279:140-150

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Radiology, Yamaguchi University Graduate School of Medicine, 1-1-1 Minami Kogushi, Ube, Yamaguchi, 755-8505, Japan

    Fumi Kameda, Masahiro Tanabe, Hideko Onoda, Mayumi Higashi, Shoko Ariyoshi, Kenichiro Ihara, Etsushi Iida, Matakazu Furukawa, Munemasa Okada & Katsuyoshi Ito

Authors
  1. Fumi Kameda
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  2. Masahiro Tanabe
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  3. Hideko Onoda
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  4. Mayumi Higashi
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  5. Shoko Ariyoshi
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  6. Kenichiro Ihara
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  7. Etsushi Iida
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  8. Matakazu Furukawa
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  9. Munemasa Okada
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  10. Katsuyoshi Ito
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Correspondence to Katsuyoshi Ito.

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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.

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This study was approved by the institutional review board, and informed consent was waived.

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Kameda, F., Tanabe, M., Onoda, H. et al. Quantification of pancreas fat on dual-energy computed tomography: comparison with six-point Dixon magnetic resonance imaging. Abdom Radiol 45, 2779–2785 (2020). https://doi.org/10.1007/s00261-020-02583-7

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  • DOI: https://doi.org/10.1007/s00261-020-02583-7

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