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

Fiche publication

Date publication

avril 2012


Membres identifiés du Cancéropôle Est :
Pr BINQUET Christine, Pr HILLON Patrick, Pr LEPAGE Côme, Dr MINELLO Anne, Pr PETIT Jean-Michel, Pr VERGES Bruno

Tous les auteurs :
Guiu B, Crevisy-Girod E, Binquet C, Duvillard L, Masson D, Lepage C, Hamza S, Krause D, Verges B, Minello A, Cercueil JP, Hillon P, Petit JM


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 (1)H-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 (1)H-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.


Eur Radiol. 2012 Apr;22(4):855-63