Literature DB >> 33207043

Reproducibility of liver iron concentration estimates in MRI through R2* measurement determined by least-squares curve fitting.

Andrew M Headley1, Jared V Grice1, David R Pickens1.   

Abstract

Measuring transverse relaxation rate (R2* = 1/T2*) via MRI allows for noninvasive evaluation of multiple clinical parameters, including liver iron concentration (LIC) and fat fraction. Both fat and iron contribute to diffuse liver disease when stored in excess in the liver. This liver damage leads to fibrosis and cirrhosis with an increased risk of developing hepatocellular carcinoma. Liver iron concentration is linearly related to R2* measurements using MRI. A phantom was constructed to assess R2* quantification variability on 1.5 and 3 T MRI systems. Quantification was executed using least-squares curve fitting techniques. The phantom was created using readily available, low-cost materials. It contains four vials with R2* values that cover a clinically relevant range (100 to 420 Hz at 1.5 T). Iron content was achieved using ferric chloride solutions contained in glass vials, each affixed in a three-dimensional (3D)-printed polylactide (PLA) structure, surrounded by distilled water, all housed in a sealed acrylic cylinder. Multiple phantom stands were also 3D-printed using PLA for precise orientation of the phantom with respect to the direction of the static magnetic field. Acquisitions at different phantom angles, across multiple MRI systems, and with different pulse sequence parameters were evaluated. The variability between any two R2* measurements, taken in the same vial under these various acquisition conditions, on a 1.5 T MRI system, was <7% for each of the four vials. For 3 T MRI systems, variability was less than 14% in all cases. Variability was <6% for both 1.5 and 3 T acquisitions when unchanged pulse sequence parameters were used. The phantom can be used to mimic a range of clinically relevant levels of R2* relaxation rates, as measured using MRI. These measurements were found to be reproducible relative to the gold-standard method, liver biopsy, across several different image acquisition conditions.
© 2020 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of American Association of Physicists in Medicine.

Entities:  

Keywords:  HIC; LIC; MR relaxometry; R2* relaxometry; iron overload

Year:  2020        PMID: 33207043      PMCID: PMC7769411          DOI: 10.1002/acm2.13096

Source DB:  PubMed          Journal:  J Appl Clin Med Phys        ISSN: 1526-9914            Impact factor:   2.102


  13 in total

1.  Does iron concentration in a liver needle biopsy accurately reflect hepatic iron burden in beta-thalassemia?

Authors:  G Crisponi; R Ambu; F Cristiani; G Mancosu; V M Nurchi; R Pinna; G Faa
Journal:  Clin Chem       Date:  2000-08       Impact factor: 8.327

2.  Noninvasive measurement and imaging of liver iron concentrations using proton magnetic resonance.

Authors:  Timothy G St Pierre; Paul R Clark; Wanida Chua-anusorn; Adam J Fleming; Gary P Jeffrey; John K Olynyk; Pensri Pootrakul; Erin Robins; Robert Lindeman
Journal:  Blood       Date:  2004-07-15       Impact factor: 22.113

3.  MRI R2 and R2* mapping accurately estimates hepatic iron concentration in transfusion-dependent thalassemia and sickle cell disease patients.

Authors:  John C Wood; Cathleen Enriquez; Nilesh Ghugre; J Michael Tyzka; Susan Carson; Marvin D Nelson; Thomas D Coates
Journal:  Blood       Date:  2005-04-28       Impact factor: 22.113

4.  Variability in hepatic iron concentration measurement from needle-biopsy specimens.

Authors:  J P Villeneuve; M Bilodeau; R Lepage; J Côté; M Lefebvre
Journal:  J Hepatol       Date:  1996-08       Impact factor: 25.083

Review 5.  Liver Iron Quantification with MR Imaging: A Primer for Radiologists.

Authors:  Roxanne Labranche; Guillaume Gilbert; Milena Cerny; Kim-Nhien Vu; Denis Soulières; Damien Olivié; Jean-Sébastien Billiard; Takeshi Yokoo; An Tang
Journal:  Radiographics       Date:  2018 Mar-Apr       Impact factor: 5.333

6.  3D Multiecho Dixon for the Evaluation of Hepatic Iron and Fat in a Clinical Setting.

Authors:  Benjamin Henninger; Heinz Zoller; Stephan Kannengiesser; Xiaodong Zhong; Werner Jaschke; Christian Kremser
Journal:  J Magn Reson Imaging       Date:  2017-02-22       Impact factor: 4.813

Review 7.  Quantification of liver iron with MRI: state of the art and remaining challenges.

Authors:  Diego Hernando; Yakir S Levin; Claude B Sirlin; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2014-03-03       Impact factor: 4.813

8.  MR phase imaging with bipolar acquisition.

Authors:  Joseph Dagher; Kambiz Nael
Journal:  NMR Biomed       Date:  2016-05-05       Impact factor: 4.044

9.  Comparison of 3 T and 1.5 T for T2* magnetic resonance of tissue iron.

Authors:  Mohammed H Alam; Dominique Auger; Laura-Ann McGill; Gillian C Smith; Taigang He; Cemil Izgi; A John Baksi; Rick Wage; Peter Drivas; David N Firmin; Dudley J Pennell
Journal:  J Cardiovasc Magn Reson       Date:  2016-07-08       Impact factor: 5.364

10.  Mono-Exponential Fitting in T2-Relaxometry: Relevance of Offset and First Echo.

Authors:  David Milford; Nicolas Rosbach; Martin Bendszus; Sabine Heiland
Journal:  PLoS One       Date:  2015-12-17       Impact factor: 3.240

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