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Prediction for steatosis in type-2 diabetes: clinico-biological markers versus 1H-MR spectroscopy

  • Hepatobiliary-Pancreas
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Abstract

Objectives

The SteatoTest, fatty liver index (FLI) and hepatic steatosis index (HSI) are clinico-biological scores of steatosis validated in general or selected populations. Serum adiponectin (s-adiponectin) and retinol binding protein 4 (s-RBP4) are adipokines that could predict liver steatosis. We investigated whether the Steatotest, FLI, HSI, s-adiponectin and s-RBP4 could be valid predictors of liver steatosis in type-2 diabetic (T2D) patients.

Methods

We enrolled 220 consecutive T2D patients. Reference standard was 3.0 T 1H-MR spectroscopy (corrected for T1 and T2 decays). Intraclass correlation coefficients (ICCs), Kappa statistic measures of agreement, receiver operating characteristic (ROC) curves were assessed.

Results

Median liver fat content was 91 mg triglyceride/g liver tissue (range: 0–392). ICCs among the Steatotest, FLI, HSI, s-adiponectin, s-RBP4 and spectroscopy were low: 0.384, 0.281, 0.087, −0.297 and 0.048. Agreement between scores and spectroscopy was poor (Kappa range: 0.042–0.281). The areas under the ROC curves were low: 0.674, 0.647, 0.637, 0.616 and 0.540. S-adiponectin and s-RBP4 levels were strongly related to the presence of diabetic nephropathy (P = 0.0037 and P = 0.004; Mann–Whitney).

Conclusion

The SteatoTest, FLI, HSI, s-adiponectin, s-RBP4 are not valid predictors of steatosis in T2D patients. Clino-biological markers cannot replace 1H-MR spectroscopy for the assessment of liver fat in this population.

Key Points

• 1 H-MR spectrosopy can reliably estimate the weight fraction of liver steatosis

• Type-2 diabetes provides an interesting model for assessing liver steatosis

• Clinico-biological markers seem to be invalid predictors for steatosis in type-2 diabetes

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Acknowledgements

This study was supported by the Pôle de Recherche (CHU Dijon, France) and by the ALFEDIAM. We thank Philip Bastable and Sandrine Guiu for revising the English. We thank Prof. Claire Bonithon-Kopp (INSERM U866) and Romain Despalins for assistance with this study.

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Authors and Affiliations

  1. INSERM U866, University of Burgundy, BP 87900, 21079, Dijon, France

    Boris Guiu, Christine Binquet, Laurence Duvillard, David Masson, Côme Lepage, Samia Hamza, Denis Krausé, Bruno Verges, Anne Minello, Jean-Pierre Cercueil, Patrick Hillon & Jean-Michel Petit

  2. Department of Radiology, CHU (University Hospital), 2 boulevard Maréchal de Lattre de Tassigny, BP 77908, 21079, Dijon, France

    Boris Guiu, Denis Krausé & Jean-Pierre Cercueil

  3. Department of Endocrinology, Diabetology, and Metabolic Diseases, CHU (University Hospital), BP 77908, 21079, Dijon, France

    Elodie Crevisy-Girod, Bruno Verges & Jean-Michel Petit

  4. Department of Biostatistics and Medical Informatics, CHU (University Hospital), BP 77908, 21079, Dijon, France

    Christine Binquet

  5. Department of Biochemistry, CHU (University Hospital), BP 77908, 21079, Dijon, France

    David Masson

  6. Department of Hepatology, CHU (University Hospital), BP 77908, 21079, Dijon, France

    Côme Lepage, Samia Hamza, Anne Minello & Patrick Hillon

Authors
  1. Boris Guiu
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Correspondence to Boris Guiu.

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Guiu, B., Crevisy-Girod, E., Binquet, C. et al. Prediction for steatosis in type-2 diabetes: clinico-biological markers versus 1H-MR spectroscopy. Eur Radiol 22, 855–863 (2012). https://doi.org/10.1007/s00330-011-2326-9

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  • DOI: https://doi.org/10.1007/s00330-011-2326-9

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