Literature DB >> 29178028

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

Gaspard d'Assignies1,2, Anita Paisant1,3, Edouard Bardou-Jacquet3,4,5, Anne Boulic1, Elise Bannier1,6, Fabrice Lainé3,4, Martine Ropert5,7, Jeff Morcet3, Hervé Saint-Jalmes2,8, Yves Gandon9,10.   

Abstract

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.

Entities:  

Keywords:  Haemochromatosis; Haemosiderosis; Iron; Liver; Magnetic resonance imaging

Mesh:

Year:  2017        PMID: 29178028     DOI: 10.1007/s00330-017-5106-3

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  24 in total

1.  MR quantification of hepatic iron concentration.

Authors:  José M Alústiza; José Artetxe; Agustín Castiella; Cristina Agirre; José I Emparanza; Pedro Otazua; Manuel García-Bengoechea; Jesús Barrio; Fernando Mújica; José A Recondo
Journal:  Radiology       Date:  2003-12-10       Impact factor: 11.105

2.  Feasibility, reproducibility, and reliability for the T*2 iron evaluation at 3 T in comparison with 1.5 T.

Authors:  Antonella Meloni; Vincenzo Positano; Petra Keilberg; Daniele De Marchi; Pasquale Pepe; Angelo Zuccarelli; Saveria Campisi; Maria Antonietta Romeo; Tommaso Casini; Pier Paolo Bitti; Calogera Gerardi; Maria Eliana Lai; Basilia Piraino; Gaetano Giuffrida; Giuseppina Secchi; Massimo Midiri; Massimo Lombardi; Alessia Pepe
Journal:  Magn Reson Med       Date:  2011-11-29       Impact factor: 4.668

3.  Liver iron content assessment by routine and simple magnetic resonance imaging procedure in highly transfused patients.

Authors:  Christian Rose; Philippe Vandevenne; Emmanuelle Bourgeois; Nathalie Cambier; Olivier Ernst
Journal:  Eur J Haematol       Date:  2006-04-11       Impact factor: 2.997

4.  R2* imaging of transfusional iron burden at 3T and comparison with 1.5T.

Authors:  Pippa Storey; Alexis A Thompson; Christine L Carqueville; John C Wood; R Andrew de Freitas; Cynthia K Rigsby
Journal:  J Magn Reson Imaging       Date:  2007-03       Impact factor: 4.813

5.  Liver biopsy.

Authors:  Don C Rockey; Stephen H Caldwell; Zachary D Goodman; Rendon C Nelson; Alastair D Smith
Journal:  Hepatology       Date:  2009-03       Impact factor: 17.425

Review 6.  Pathology of hepatic iron overload.

Authors:  Yves Deugnier; Bruno Turlin
Journal:  Semin Liver Dis       Date:  2011-09-07       Impact factor: 6.115

7.  R2* relaxometry for the quantification of hepatic iron overload: biopsy-based calibration and comparison with the literature.

Authors:  B Henninger; H Zoller; S Rauch; A Finkenstedt; M Schocke; W Jaschke; C Kremser
Journal:  Rofo       Date:  2015-04-15

8.  Measurement of liver-iron concentration in needle-biopsy specimens.

Authors:  M Barry; S Sherlock
Journal:  Lancet       Date:  1971-01-16       Impact factor: 79.321

9.  Percutaneous imaging-guided solid organ core needle biopsy: coaxial versus noncoaxial method.

Authors:  Malcolm K Hatfield; Robert A Beres; Shekhar S Sane; George X Zaleski
Journal:  AJR Am J Roentgenol       Date:  2008-02       Impact factor: 3.959

Review 10.  Current approach to hemochromatosis.

Authors:  Pierre Brissot; Marie-Bérengère Troadec; Edouard Bardou-Jacquet; Caroline Le Lan; Anne-Marie Jouanolle; Yves Deugnier; Olivier Loréal
Journal:  Blood Rev       Date:  2008-04-21       Impact factor: 8.250

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  14 in total

Review 1.  Diagnostic value of MRI-PDFF for hepatic steatosis in patients with non-alcoholic fatty liver disease: a meta-analysis.

Authors:  Jiulian Gu; Shousheng Liu; Shuixian Du; Qing Zhang; Jianhan Xiao; Quanjiang Dong; Yongning Xin
Journal:  Eur Radiol       Date:  2019-03-21       Impact factor: 5.315

Review 2.  Topics on quantitative liver magnetic resonance imaging.

Authors:  Yì Xiáng J Wáng; Xiaoqi Wang; Peng Wu; Yajie Wang; Weibo Chen; Huijun Chen; Jianqi Li
Journal:  Quant Imaging Med Surg       Date:  2019-11

3.  Measurement of the liver iron concentration in transfusional iron overload by MRI R2* and by high-transition-temperature superconducting magnetic susceptometry.

Authors:  Sujit Sheth; Christopher J Allen; David E Farrell; John H Tripp; Ramin Jafari; Yi Wang; Gary M Brittenham
Journal:  Clin Imaging       Date:  2019-01-31       Impact factor: 1.605

Review 4.  MR imaging assessment and quantification of liver iron.

Authors:  Manuela França; João Gomes Carvalho
Journal:  Abdom Radiol (NY)       Date:  2020-11

5.  Imaging biomarkers of diffuse liver disease: current status.

Authors:  Bachir Taouli; Filipe Caseiro Alves
Journal:  Abdom Radiol (NY)       Date:  2020-06-25

Review 6.  Quantitative dual-energy CT techniques in the abdomen.

Authors:  Giuseppe V Toia; Achille Mileto; Carolyn L Wang; Dushyant V Sahani
Journal:  Abdom Radiol (NY)       Date:  2021-09-01

Review 7.  Conventional and artificial intelligence-based imaging for biomarker discovery in chronic liver disease.

Authors:  Jérémy Dana; Aïna Venkatasamy; Antonio Saviano; Joachim Lupberger; Yujin Hoshida; Valérie Vilgrain; Pierre Nahon; Caroline Reinhold; Benoit Gallix; Thomas F Baumert
Journal:  Hepatol Int       Date:  2022-02-09       Impact factor: 9.029

8.  The application value of ultra-short echo time MRI in the quantification of liver iron overload in a rat model.

Authors:  Qiaoling Wu; Xiuwei Fu; Zhizheng Zhuo; Mingfeng Zhao; Hongyan Ni
Journal:  Quant Imaging Med Surg       Date:  2019-02

9.  Quantification of pancreatic iron overload and fat infiltration and their correlation with glucose disturbance in pediatric thalassemia major patients.

Authors:  Jingwen Huang; Jun Shen; Qihua Yang; Ziliang Cheng; Xiaodong Chen; Taihui Yu; Jinglian Zhong; Yun Su; Hua Guo; Biling Liang
Journal:  Quant Imaging Med Surg       Date:  2021-02

10.  Comparison of automated and manual protocols for magnetic resonance imaging assessment of liver iron concentration.

Authors:  Izabella de Campos Carvalho Lopes; Manuel Schütze; Marina Borges Bolina; Tarcísio Ângelo de Oliveira Sobrinho; Laura Filgueiras Mourão Ramos; Renata Lopes Furletti Caldeira Diniz; Juliano de Lara Fernandes; Maria Helena Albernaz Siqueira
Journal:  Radiol Bras       Date:  2020 May-Jun
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