title: Liver fat volume fraction quantification with fat and water T1 and T 2* estimation and accounting for NMR multiple components in patients with chronic liver disease at 1.5 and 3.0 T.
abstract: OBJECTIVE
  To validate a magnitude-based method for fat volume fraction (FVF) quantification in the liver without any dominant component ambiguity problems and with the aim of transferring this method to any imaging system (clinical fields of 1.5 and 3.0 T).
  
  
  METHODS
  MR imaging was performed at 1.5 and 3.0 T using a multiple-angle multiple-gradient echo sequence. A quantification algorithm correcting for relaxation time effects using a disjointed estimation of T1 and T2* of fat and water and accounting for the NMR spectrum of fat was developed. Validations were performed on fat-water emulsion at 1.5 and 3.0 T and compared with (1)H-MRS. This was followed by a prospective in-vivo comparative study on 28 patients with chronic liver disease and included histology.
  
  
  RESULTS
  Phantom study showed good agreement between MRI and MRS. MR-estimated FVF and histological results correlated strongly and FVF allowed the diagnosis of mild (cutoff = 5.5 %) and moderate steatosis (cutoff = 15.2 %) with a sensitivity/specificity of 100 %.
  
  
  CONCLUSIONS
  FVF calculation worked independently of the field strength. FVF may be a relevant biomarker for the clinical follow-up of patients (1) with or at risk of NAFLD (2) of steatosis in patients with other chronic liver diseases.
  
  
  CONCLUSIONS
  • Non-invasive techniques to diagnose non-alcoholic fatty liver diseases (NAFLD) are important. • Liver fat volume fraction quantified using MRI correlates well with histology. • Fat volume fraction could be a relevant marker for NAFLD clinical follow-up. • Disjointed relaxation time estimation could potentially identify factors contributing to NAFLD.
authors.affiliation: CREATIS, CNRS UMR 5220, Inserm U1044, INSA-Lyon, Université de Lyon, Université Lyon 1, bât. 308, 43, Boulevard du 11 Novembre 1918, 69616, Villeurbanne, France.
authors.forename: Benjamin
authors.initials: B
authors.lastname: Leporq
authors.forename: Hélène
authors.initials: H
authors.lastname: Ratiney
authors.forename: Frank
authors.initials: F
authors.lastname: Pilleul
authors.forename: Olivier
authors.initials: O
authors.lastname: Beuf
mesh_terms: D000273:Adipose Tissue / Q000473:pathology*; D000328:Adult; D000368:Aged; D000465:Algorithms; D058625:End Stage Liver Disease / Q000473:pathology*; D005234:Fatty Liver / Q000473:pathology*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D007249:Inflammation; D008099:Liver / Q000473:pathology*; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D065626:Non-alcoholic Fatty Liver Disease; D019047:Phantoms, Imaging; D011446:Prospective Studies; D012680:Sensitivity and Specificity