Proton density fat-fraction is an accurate biomarker of hepatic steatosis in adolescent girls and young women

European Radiology

Volumn 25, Issue 10, 2015, Pages 2921-2930

  Rehm, Jennifer L ^a   Wolfgram, Peter M ^b   Hernando, Diego ^a   Eickhoff, Jens C ^a   Allen, David B ^a   Reeder, Scott B ^a  

^a UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^b MEDICAL COLLEGE OF WISCONSIN   (United States)

Author keywords

Fatty liver; Magnetic resonance imaging; Magnetic resonance spectroscopy; Obesity; Paediatrics

Indexed keywords

ALANINE AMINOTRANSFERASE; FAT; GLUCOSE; INSULIN; PROTON; BIOLOGICAL MARKER; TRIACYLGLYCEROL;

ADOLESCENT; ADULT; ALANINE AMINOTRANSFERASE BLOOD LEVEL; ARTICLE; BODY MASS; CHILD; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DENSITY; DIAGNOSTIC TEST ACCURACY STUDY; FATTY LIVER; FEMALE; GLUCOSE BLOOD LEVEL; HUMAN; IMAGING SYSTEM; INSULIN BLOOD LEVEL; MAJOR CLINICAL STUDY; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; OUTCOME ASSESSMENT; PRIORITY JOURNAL; PROSPECTIVE STUDY; PROTON DENSITY FAT FRACTION; RANDOMIZED CONTROLLED TRIAL; COMPARATIVE STUDY; EVALUATION STUDY; METABOLISM; NORMAL HUMAN; OBESITY; PATHOPHYSIOLOGY; PROCEDURES; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; WAIST CIRCUMFERENCE; YOUNG ADULT;

ADOLESCENT; ALANINE TRANSAMINASE; BIOMARKERS; BODY MASS INDEX; CHILD; CROSS-SECTIONAL STUDIES; FATTY LIVER; FEMALE; HEALTHY VOLUNTEERS; HUMANS; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MAGNETIC RESONANCE SPECTROSCOPY; OVERWEIGHT; PROSPECTIVE STUDIES; PROTONS; SENSITIVITY AND SPECIFICITY; TRIGLYCERIDES; WAIST CIRCUMFERENCE; YOUNG ADULT;

EID: 84941316225     PISSN: 09387994     EISSN: 14321084     Source Type: Journal    
DOI: 10.1007/s00330-015-3724-1     Document Type: Article

References (45)

1. Feldstein AE, Charatcharoenwitthaya P, Treeprasertsuk S, Benson JT, Enders FB, Angulo P (2009) The natural history of non-alcoholic fatty liver disease in children: a follow-up study for up to 20 years. Gut 58:1538–1544
2. Clark JM (2006) The Epidemiology of Nonalcoholic Fatty Liver Disease in Adults. J Clin Gastroenterol Nonalcoholic Steatohepatitis 40 Supplement:S5-S10
3. Loomba R, Sirlin CB, Schwimmer JB, Lavine JE (2009) Advances in pediatric nonalcoholic fatty liver disease. Hepatology 50:1282–1293
4. Denzer C, Thiere D, Muche R et al (2009) Gender-specific prevalences of fatty liver in obese children and adolescents: roles of body fat distribution, sex steroids, and insulin resistance. J Clin Endocrinol Metab 94:3872–3881
5. Ko JS, Yoon JM, Yang HR et al (2009) Clinical and histological features of nonalcoholic fatty liver disease in children. Dig Dis Sci 54:2225–2230
6. Targher G, Day CP, Bonora E (2010) Risk of cardiovascular disease in patients with nonalcoholic fatty liver disease. N Engl J Med 363:1341–1350
7. Schwimmer JB, Deutsch R, Rauch JB, Behling C, Newbury R, Lavine JE (2003) Obesity, insulin resistance, and other clinicopathological correlates of pediatric nonalcoholic fatty liver disease. J Pediatr 143:500–505
8. Utzschneider KM, Kahn SE (2006) Review: the role of insulin resistance in nonalcoholic fatty liver disease. J Clin Endocrinol Metab 91:4753–4761
9. Farrell GC, Larter CZ (2006) Nonalcoholic fatty liver disease: from steatosis to cirrhosis. Hepatology 43:S99–S112
10. Ong JP, Younossi ZM (2007) Epidemiology and natural history of NAFLD and NASH. Clin Liver Dis 11:1–16, vii
11. Schwimmer JB, Behling C, Newbury R et al (2005) Histopathology of pediatric nonalcoholic fatty liver disease. Hepatology 42:641–649
12. Manco M, Alisi A, Nobili V (2008) Risk of severe liver disease in NAFLD with normal ALT levels: a pediatric report. Hepatology 48:2087–2088, author reply 2088
13. Fraser A, Longnecker MP, Lawlor DA (2007) Prevalence of elevated alanine aminotransferase among US adolescents and associated factors: NHANES 1999-2004. Gastroenterology 133:1814–1820
14. Mofrad P, Contos MJ, Haque M et al (2003) Clinical and histologic spectrum of nonalcoholic fatty liver disease associated with normal ALT values. Hepatology 37:1286–1292
15. Schwimmer JB (2007) Definitive diagnosis and assessment of risk for nonalcoholic fatty liver disease in children and adolescents. Semin Liver Dis 27:312–318
16. Fabbrini E, Conte C, Magkos F (2009) Methods for assessing intrahepatic fat content and steatosis. Curr Opin Clin Nutr Metab Care 12:474–481
17. Thomsen C, Becker U, Winkler K, Christoffersen P, Jensen M, Henriksen O (1994) Quantification of liver fat using magnetic resonance spectroscopy. Magn Reson Imaging 12:487–495
18. Wong WF, Northrup SR, Herrick RC, Glombicki AP, Wood RP, Morrisett JD (1994) Quantitation of lipid in biological tissue by chemical shift magnetic resonance imaging. Magn Reson Med 32:440–446
19. Yokoo T, Bydder M, Hamilton G et al (2009) Nonalcoholic fatty liver disease: diagnostic and fat-grading accuracy of low-flip-angle multiecho gradient-recalled-echo MR imaging at 1.5 T. Radiology 251:67–76
20. 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
21. Hines CD, Frydrychowicz A, Hamilton G et al (2011) 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 33:873–881
22. 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
23. Reeder SB, Hu HH, Sirlin CB (2012) Proton density fat-fraction: a standardized mr-based biomarker of tissue fat concentration. J Magn Reson Imaging. doi:10.1002/jmri.23741
24. Tang A, Tan J, Sun M et al (2013) Nonalcoholic Fatty Liver. MR Imaging of Liver Proton Density Fat Fraction to Assess Hepatic Steatosis. Radiology, Disease. doi:10.1148/radiol.12120896
25. Rehm JL, Connor EL, Wolfgram PM, Eickhoff JC, Reeder SB, Allen DB (2014) Predicting Hepatic Steatosis in a Racially and Ethnically Diverse Cohort of Adolescent Girls. J Pediatr. doi:10.1016/j.jpeds.2014.04.019
26. Taylor SJ, Whincup PH, Hindmarsh PC, Lampe F, Odoki K, Cook DG (2001) Performance of a new pubertal self-assessment questionnaire: a preliminary study. Paediatr Perinat Epidemiol 15:88–94
27. Keskin M, Kurtoglu S, Kendirci M, Atabek ME, Yazici C (2005) Homeostasis model assessment is more reliable than the fasting glucose/insulin ratio and quantitative insulin sensitivity check index for assessing insulin resistance among obese children and adolescents. Pediatrics 115:e500–e503
28. (2004) The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents. Pediatrics 114:555-576
29. Fernandez JR, Redden DT, Pietrobelli A, Allison DB (2004) Waist circumference percentiles in nationally representative samples of African-American, European-American, and Mexican-American children and adolescents. J Pediatr 145:439–444
30. Cook S, Weitzman M, Auinger P, Nguyen M, Dietz WH (2003) Prevalence of a metabolic syndrome phenotype in adolescents: findings from the third National Health and Nutrition Examination Survey, 1988-1994. Arch Pediatr Adolesc Med 157:821–827
31. Calcaterra V, Klersy C, Muratori T et al (2008) Prevalence of metabolic syndrome (MS) in children and adolescents with varying degrees of obesity. Clin Endocrinol 68:868–872
32. Brau AC, Beatty PJ, Skare S, Bammer R (2008) Comparison of reconstruction accuracy and efficiency among autocalibrating data-driven parallel imaging methods. Magn Reson Med 59:382–395
33. Yu H, Shimakawa A, McKenzie CA, Brodsky E, Brittain JH, Reeder SB (2008) Multiecho water-fat separation and simultaneous R2* estimation with multifrequency fat spectrum modeling. Magn Reson Med 60:1122–1134
34. Bydder M, Yokoo T, Hamilton G et al (2008) Relaxation effects in the quantification of fat using gradient echo imaging. Magn Reson Imaging 26:347–359
35. Yu H, Shimakawa A, Hines CD et al (2011) Combination of complex-based and magnitude-based multiecho water-fat separation for accurate quantification of fat-fraction. Magn Reson Med 66:199–206
36. Liu CY, McKenzie CA, Yu H, Brittain JH, Reeder SB (2007) Fat quantification with IDEAL gradient echo imaging: correction of bias from T(1) and noise. Magn Reson Med 58:354–364
37. Szczepaniak LS, Nurenberg P, Leonard D et al (2005) Magnetic resonance spectroscopy to measure hepatic triglyceride content: prevalence of hepatic steatosis in the general population. Am J Physiol Endocrinol Metab 288:E462–E468
38. Hamilton G, Middleton MS, Bydder M et al (2009) Effect of PRESS and STEAM sequences on magnetic resonance spectroscopic liver fat quantification. J Magn Reson Imaging 30:145–152
39. Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1:307–310
40. Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33:159–174
41. Linder K, Springer F, Machann J et al (2014) Relationships of body composition and liver fat content with insulin resistance in obesity-matched adolescents and adults. Obesity (Silver Spring) 22:1325–1331
42. Schwimmer JB, Pardee PE, Lavine JE, Blumkin AK, Cook S (2008) Cardiovascular risk factors and the metabolic syndrome in pediatric nonalcoholic fatty liver disease. Circulation 118:277–283
43. Alderete TL, Toledo-Corral CM, Desai P, Weigensberg MJ, Goran MI (2013) Liver fat has a stronger association with risk factors for type 2 diabetes in african-american compared with Hispanic adolescents. J Clin Endocrinol Metab 98:3748–3754
44. Pacifico L, Nobili V, Anania C, Verdecchia P, Chiesa C (2011) Pediatric nonalcoholic fatty liver disease, metabolic syndrome and cardiovascular risk. World J Gastroenterol 17:3082–3091
45. Schwimmer JB, Dunn W, Norman GJ et al (2010) SAFETY study: alanine aminotransferase cutoff values are set too high for reliable detection of pediatric chronic liver disease. Gastroenterology 138:1357–1364, 1364.e1351-1352