Literature DB >> 20665947

Noninvasive liver steatosis quantification using MRI techniques combined with blood markers.

Elodie Cesbron-Métivier1, Vincent Roullier, Jérôme Boursier, Christine Cavaro-Ménard, Jérôme Lebigot, Sophie Michalak, Paul Calès, Christophe Aubé.   

Abstract

AIMS: To evaluate the accuracy of different techniques of MRI steatosis quantification, based on histological grading and quantification of liver steatosis. PATIENTS AND METHODS: Twenty-three patients (21 with nonalcoholic fatty liver disease and two controls) were included. Steatosis was evaluated in liver specimens using histological grading (five grades) and steatosis area (% of liver surface) was computed using an inhouse automated image analysis. The following five MRI quantification techniques were performed: two-point Dixon, three-point Dixon, DUAL, spin echo method and a new technique called multi-echo gradient-echo (MFGRE). Interobserver (two observers) and intersite (three different liver sites) agreements were evaluated for the two best-performing methods.
RESULTS: Steatosis area was correlated with steatosis grade: Rs (Spearman coefficient) = 0.82, P value of less than 0.001. The steatosis area was significantly different between S0-S2 and S3-S4 grades: 4.2 + or - 2.4 versus 16.4 + or - 8.9% (P< 0.001). Correlations between the MRI techniques and steatosis area (or grading) were: MFGRE, Rs = 0.72 (0.78); spin echo method, Rs = 0.72 (0.76); DUAL, Rs =0.71 (0.76); two-point Dixon, Rs = 0.71 (0.75); three-point Dixon, Rs = 0.67 (0.77). Interobserver (Ric = 0.99) and intersite (Ric = 0.97) agreements were excellent for the liver steatosis measurement by MFGRE. The noninvasive diagnosis of the steatosis area was improved by adding blood markers like ALT and triglycerides to MFGRE (aR2: 0.805).
CONCLUSION: MRI, and in particular the MFGRE method, provides accurate and automatic quantification for the noninvasive evaluation of liver steatosis, either as a single measurement or in combination with blood variables.

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Year:  2010        PMID: 20665947     DOI: 10.1097/meg.0b013e32833775fb

Source DB:  PubMed          Journal:  Eur J Gastroenterol Hepatol        ISSN: 0954-691X            Impact factor:   2.566


  8 in total

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6.  Diagnostic performance of a rapid magnetic resonance imaging method of measuring hepatic steatosis.

Authors:  Michael J House; Eng K Gan; Leon A Adams; Oyekoya T Ayonrinde; Sander J Bangma; Prithi S Bhathal; John K Olynyk; Tim G St Pierre
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7.  Novel equation to determine the hepatic triglyceride concentration in humans by MRI: diagnosis and monitoring of NAFLD in obese patients before and after bariatric surgery.

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Journal:  BMC Med       Date:  2014-08-26       Impact factor: 8.775

8.  Assessment of Fat distribution and Bone quality with Trabecular Bone Score (TBS) in Healthy Chinese Men.

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Journal:  Sci Rep       Date:  2016-04-26       Impact factor: 4.379

  8 in total

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