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Improvements of Liver MR Imaging Clinical Protocols to Simultaneously Quantify Steatosis and Iron Overload

Abstract : Purpose : Fat accumulation and iron overload are important cofactors in chronic liver disease. Clinical quantifications of fat fraction and iron are currently assessed using MRI protocols. The purpose is to improve these measurements to simultaneously provide iron and fat maps from a single acquisition. Methods: Ten healthy volunteers and ten patients with steatosis underwent MRI for fat fraction (FF: IDEAL-IQ ®), iron overload concentration (IOC: Gandon, Starmap ®) and viscoelastic characterization (MR-Touch ®). IDEAL-IQ ® data, the clinical FF reference, were compared to the advanced Gandon protocol, post-treated with a 3pt Dixon method. The originality was to use IDEAL-IQ ® fat sequence to quantify iron volu-metrically using the Wood equation. To validate the iron data, the reference Gandon protocol was applied and improved to provide map of IOC. Then, IOC data were also compared to another clinical sequence (Starmap ®) which was also improved (scale, number of ROI). The estimated error associated with each method was evaluated with the coefficient of variation. Results: IDEAL-IQ ® and Gandon protocols were modified to provide simultaneously FF and IOC maps (2D, volume). Healthy FF were in the same range with all protocols (≈3%). For patients with steatosis, Gandon protocols underestimated the FF value (≈7%) compared to IDEAL-IQ ®. Healthy and fibrosis patients were correctly diagnosed (no hemochromatosis) with all the protocols and viscoelastic properties were in the same range. Conclusion: Manufacturer's tools were improved to simultaneously quantify liver markers saving time for the patient and the clinical setting. These parameters are of great value for clinical diagnostics and novel therapeutics to treat liver diseases.
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Contributor : Philippe Pouletaut <>
Submitted on : Monday, January 21, 2019 - 3:31:03 PM
Last modification on : Monday, October 19, 2020 - 11:08:25 AM


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R. Ternifi, P. Pouletaut, M. Sasso, V. Miette, F. Charleux, et al.. Improvements of Liver MR Imaging Clinical Protocols to Simultaneously Quantify Steatosis and Iron Overload. Innovation and research in biomedical engineering, 2018, 39 (3), pp.219-225. ⟨10.1016/j.irbm.2018.04.004⟩. ⟨hal-01980213⟩



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