Literature DB >> 29528818

Liver Iron Quantification with MR Imaging: A Primer for Radiologists.

Roxanne Labranche1, Guillaume Gilbert1, Milena Cerny1, Kim-Nhien Vu1, Denis Soulières1, Damien Olivié1, Jean-Sébastien Billiard1, Takeshi Yokoo1, An Tang1.   

Abstract

Iron overload is a systemic disorder and is either primary (genetic) or secondary (exogenous iron administration). Primary iron overload is most commonly associated with hereditary hemochromatosis and secondary iron overload with ineffective erythropoiesis (predominantly caused by β-thalassemia major and sickle cell disease) that requires long-term transfusion therapy, leading to transfusional hemosiderosis. Iron overload may lead to liver cirrhosis and hepatocellular carcinoma, in addition to cardiac and endocrine complications. The liver is one of the main iron storage organs and the first to show iron overload. Therefore, detection and quantification of liver iron overload are critical to initiate treatment and prevent complications. Liver biopsy was the historical reference standard for detection and quantification of liver iron content. Magnetic resonance (MR) imaging is now commonly used for liver iron quantification, including assessment of distribution, detection, grading, and monitoring of treatment response in iron overload. Several MR imaging techniques have been developed for iron quantification, each with advantages and limitations. The liver-to-muscle signal intensity ratio technique is simple and widely available; however, it assumes that the reference tissue is normal. Transverse magnetization (also known as R2) relaxometry is validated but is prone to respiratory motion artifacts due to a long acquisition time, is presently available only for 1.5-T imaging, and requires additional cost and delay for off-line analysis. The R2* technique has fast acquisition time, demonstrates a wide range of liver iron content, and is available for 1.5-T and 3.0-T imaging but requires additional postprocessing software. Quantitative susceptibility mapping has the highest sensitivity for detecting iron deposition; however, it is still investigational, and the correlation with liver iron content is not yet established. ©RSNA, 2018.

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Year:  2018        PMID: 29528818     DOI: 10.1148/rg.2018170079

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  32 in total

1.  MRI-based R2* mapping in patients with suspected or known iron overload.

Authors:  Emre Aslan; Jack W Luo; An Lesage; Philippe Paquin; Milena Cerny; Anne Shu-Lei Chin; Damien Olivié; Guillaume Gilbert; Denis Soulières; An Tang
Journal:  Abdom Radiol (NY)       Date:  2021-01-02

Review 2.  Imaging features of thalassaemia.

Authors:  Maria Gosein; Paramanand Maharaj; Pauline Balkaransingh; Renee Banfield; Camille Greene; Sunil Latchman; Alexander Sinanan
Journal:  Br J Radiol       Date:  2018-11-14       Impact factor: 3.039

3.  Rapid automated liver quantitative susceptibility mapping.

Authors:  Ramin Jafari; Sujit Sheth; Pascal Spincemaille; Thanh D Nguyen; Martin R Prince; Yan Wen; Yihao Guo; Kofi Deh; Zhe Liu; Daniel Margolis; Gary M Brittenham; Andrea S Kierans; Yi Wang
Journal:  J Magn Reson Imaging       Date:  2019-01-13       Impact factor: 4.813

4.  Hepatic R2* is more strongly associated with proton density fat fraction than histologic liver iron scores in patients with nonalcoholic fatty liver disease.

Authors:  Mustafa R Bashir; Tanya Wolfson; Anthony C Gamst; Kathryn J Fowler; Michael Ohliger; Shetal N Shah; Adina Alazraki; Andrew T Trout; Cynthia Behling; Daniela S Allende; Rohit Loomba; Arun Sanyal; Jeffrey Schwimmer; Joel E Lavine; Wei Shen; James Tonascia; Mark L Van Natta; Adrija Mamidipalli; Jonathan Hooker; Kris V Kowdley; Michael S Middleton; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2018-10-14       Impact factor: 4.813

Review 5.  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

6.  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 7.  MR imaging assessment and quantification of liver iron.

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

8.  Prospective comparison of transient, point shear wave, and magnetic resonance elastography for staging liver fibrosis.

Authors:  Thierry Lefebvre; Claire Wartelle-Bladou; Philip Wong; Giada Sebastiani; Jeanne-Marie Giard; Hélène Castel; Jessica Murphy-Lavallée; Damien Olivié; André Ilinca; Marie-Pierre Sylvestre; Guillaume Gilbert; Zu-Hua Gao; Bich N Nguyen; Guy Cloutier; An Tang
Journal:  Eur Radiol       Date:  2019-07-05       Impact factor: 5.315

9.  Deep neural network for water/fat separation: Supervised training, unsupervised training, and no training.

Authors:  Ramin Jafari; Pascal Spincemaille; Jinwei Zhang; Thanh D Nguyen; Xianfu Luo; Junghun Cho; Daniel Margolis; Martin R Prince; Yi Wang
Journal:  Magn Reson Med       Date:  2020-10-26       Impact factor: 4.668

10.  Skeletal muscle ferritin abundance is tightly related to plasma ferritin concentration in adults with obesity.

Authors:  Benjamin J Ryan; Katherine L Foug; Rachel A Gioscia-Ryan; Alison C Ludzki; Cheehoon Ahn; Michael W Schleh; Jenna B Gillen; Thomas L Chenevert; Jeffrey F Horowitz
Journal:  Exp Physiol       Date:  2020-09-16       Impact factor: 2.969

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