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Article Dans Une Revue European Radiology Année : 2018

Non-invasive measurement of liver iron concentration using 3-Tesla magnetic resonance imaging validation against biopsy

Résumé

Objectives - To evaluate the performance and limitations of the R2* and signal intensity ratio (SIR) methods for quantifying liver iron concentration (LIC) at 3 T.

Methods - A total of 105 patients who underwent a liver biopsy with biochemical LIC (LIC) were included prospectively. All patients underwent a 3-T MRI scan with a breath-hold multiple-echo gradient-echo sequence (mGRE). LIC calculated by 3-T SIR algorithm (LIC) and by R2* (LIC) were correlated with LIC. Sensitivity and specificity were calculated. The comparison of methods was analysed for successive classes.

Results - LIC was strongly correlated with R2* (r = 0.95, p < 0.001) and LIC (r = 0.92, p < 0.001). In comparison to LIC, LIC and LIC detect liver iron overload with a sensitivity/specificity of 0.96/0.93 and 0.92/0.95, respectively, and a bias ± SD of 7.6 ± 73.4 and 14.8 ± 37.6 μmol/g, respectively. LIC presented the lowest differences for patients with LIC values under 130 μmol/g. Above this value, LIC has the lowest differences.

Conclusions - At 3 T, R2* provides precise LIC quantification for lower overload but the SIR method is recommended to overcome R2* limitations in higher overload. Our software, available at www.mrquantif.org , uses both methods jointly and selects the best one.

Key points - • Liver iron can be accurately quantified by MRI at 3 T • At 3 T, R2* provides precise quantification of slight liver iron overload • At 3 T, SIR method is recommended in case of high iron overload • Slight liver iron overload present in metabolic syndrome can be depicted • Treatment can be monitored with great confidence.

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Dates et versions

hal-01771416 , version 1 (26-04-2018)

Identifiants

Citer

Gaspard d'Assignies, Anita Paisant, Edouard Bardou-Jacquet, Anne Boulic, Elise Bannier, et al.. Non-invasive measurement of liver iron concentration using 3-Tesla magnetic resonance imaging validation against biopsy. European Radiology, 2018, 28 (5), pp.2022-2030. ⟨10.1007/s00330-017-5106-3⟩. ⟨hal-01771416⟩
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