Non-invasive measurement of liver iron concentration using 3-Tesla magnetic resonance imaging: validation against biopsy.
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 (LICb) were included prospectively. All patients underw...
| Published in: | European Radiology Vol. 28; no. 5; pp. 2022 - 2031 |
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| Main Authors: | , , , , , , , , , , |
| Format: | research Journal Article |
| Published: |
Springer Nature
May2018
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=128864669&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 128864669 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: May2018 vid: 28 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 128864669 128864669 NLM29178028 128864669 10.1007/s00330-017-5106-3 NLM29178028 128864669 ppf: 2022 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Non-invasive measurement of liver iron concentration using 3-Tesla magnetic resonance imaging: validation against biopsy. aug: au: d’Assignies, Gaspard Paisant, Anita Bardou-Jacquet, Edouard Boulic, Anne Bannier, Elise Lainé, Fabrice Ropert, Martine Morcet, Jeff Saint-Jalmes, Hervé Gandon, Yves d'Assignies, Gaspard affil: Department of Radiology, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France sug: subj: Liver Pathology Iron Overload Metabolism Liver Metabolism Magnetic Resonance Imaging Methods Iron Overload Prospective Studies Human Middle Age Biopsy Algorithms Sensitivity and Specificity Male Reproducibility of Results Female Validation Studies Comparative Studies Evaluation Research Multicenter Studies Middle Aged: 45-64 years Male Female ab: 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 (LICb) 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 (LICSIR) and by R2* (LICR2*) were correlated with LICb. Sensitivity and specificity were calculated. The comparison of methods was analysed for successive classes.Results: LICb was strongly correlated with R2* (r = 0.95, p < 0.001) and LICSIR (r = 0.92, p < 0.001). In comparison to LICb, LICR2* and LICSIR 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. LICR2* presented the lowest differences for patients with LICb values under 130 μmol/g. Above this value, LICSIR 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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