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.

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 a...

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Publicado en:European Radiology Vol. 23; no. 8; pp. 2175 - 2187
Autores principales: Leporq, Benjamin, Ratiney, Hélène, Pilleul, Frank, Beuf, Olivier
Formato: research Journal Article
Publicado: Springer Nature Aug2013
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Aug2013
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00330-013-2826-x
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        atl: 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.
      aug:
        au:
          Leporq, Benjamin
          Ratiney, Hélène
          Pilleul, Frank
          Beuf, Olivier
        affil: 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.
      sug:
        subj:
          Adipose Tissue Pathology
          Liver Failure Pathology
          Fatty Liver Pathology
          Liver Pathology
          Magnetic Resonance Spectroscopy Methods
          Adult
          Aged
          Algorithms
          Female
          Human
          Image Processing, Computer Assisted Methods
          Inflammation
          Male
          Middle Age
          Models, Theoretical
          Phantoms, Imaging
          Prospective Studies
          Sensitivity and Specificity
          Adult: 19-44 years
          Aged: 65+ years
          Middle Aged: 45-64 years
          Female
          Male
      ab: 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 %.Conclusion: 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.Key Points: • 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.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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