Literature DB >> 34668604

Evaluation of Hepatic Iron Overload Using a Contemporary 0.55 T MRI System.

Adrienne E Campbell-Washburn1, Christine Mancini1, Anna Conrey2, Lanelle Edwards3, Sujata Shanbhag1, John Wood4, Hui Xue3, Peter Kellman3, W Patricia Bandettini1, Swee Lay Thein2.   

Abstract

BACKGROUND: MRI T2* and R2* mapping have gained clinical acceptance for noninvasive assessment of iron overload. Lower field MRI may offer increased measurement dynamic range in patients with high iron concentration and may potentially increase MRI accessibility, but it is compromised by lower signal-to-noise ratio that reduces measurement precision.
PURPOSE: To characterize a high-performance 0.55 T MRI system for evaluating patients with liver iron overload. STUDY TYPE: Prospective. POPULATION: Forty patients with known or suspected iron overload (sickle cell anemia [n = 5], ß-thalassemia [n = 3], and hereditary spherocytosis [n = 2]) and a liver iron phantom. FIELD STRENGTH/SEQUENCE: A breath-held multiecho gradient echo sequence at 0.55 T and 1.5 T. ASSESSMENT: Patients were imaged with T2*/R2* mapping 0.55 T and 1.5 T within 24 hours, and 16 patients returned for follow-up exams within 6-16 months, resulting in 56 paired studies. Liver T2* and R2* measurements and standard deviations were compared between 0.55 T and 1.5 T and used to validate a predictive model between field strengths. The model was then used to classify iron overload at 0.55 T. STATISTICAL TESTS: Linear regression and Bland-Altman analysis were used for comparisons, and measurement precision was assessed using the coefficient of variation. A P-value < 0.05 was considered statistically significant.
RESULTS: R2* was significantly lower at 0.55 T in our cohort (488 ± 449 s-1 at 1.5 T vs. 178 ± 155 s-1 at 0.55 T, n = 56 studies) and in the patients with severe iron overload (937 ± 369 s-1 at 1.5 T vs. 339 ± 127 s-1 at 0.55 T, n = 23 studies). The coefficient of variation indicated reduced precision at 0.55 T (3.5 ± 2.2% at 1.5 T vs 6.9 ± 3.9% at 0.55 T). The predictive model accurately predicted 1.5 T R2* from 0.55 T R2* (Bland Altman bias = -6.6 ± 20.5%). Using this model, iron overload at 0.55 T was classified as: severe R2* > 185 s-1 , moderate 81 s-1  < R2* < 185 s-1 , and mild 45 s-1  < R2* < 91 s-1 . DATA
CONCLUSION: We demonstrated that 0.55 T provides T2* and R2* maps that can be used for the assessment of liver iron overload in patients. EVIDENCE LEVEL: 2 TECHNICAL EFFICACY: Stage 2.
© 2021 International Society for Magnetic Resonance in Medicine. This article has been contributed to by US Government employees and their work is in the public domain in the USA.

Entities:  

Keywords:  MRI; R2*; T2*; iron overload; low field

Mesh:

Substances:

Year:  2021        PMID: 34668604      PMCID: PMC9018883          DOI: 10.1002/jmri.27950

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   5.119


  29 in total

1.  Evaluation of MR imaging with T1 and T2* mapping for the determination of hepatic iron overload.

Authors:  B Henninger; C Kremser; S Rauch; R Eder; H Zoller; A Finkenstedt; H J Michaely; M Schocke
Journal:  Eur Radiol       Date:  2012-05-30       Impact factor: 5.315

Review 2.  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

Review 3.  The inherited diseases of hemoglobin are an emerging global health burden.

Authors:  David J Weatherall
Journal:  Blood       Date:  2010-03-16       Impact factor: 22.113

Review 4.  Iron-chelating therapy and the treatment of thalassemia.

Authors:  N F Olivieri; G M Brittenham
Journal:  Blood       Date:  1997-02-01       Impact factor: 22.113

5.  Relaxivity-iron calibration in hepatic iron overload: probing underlying biophysical mechanisms using a Monte Carlo model.

Authors:  Nilesh R Ghugre; John C Wood
Journal:  Magn Reson Med       Date:  2010-11-16       Impact factor: 4.668

6.  Relaxivity-iron calibration in hepatic iron overload: Predictions of a Monte Carlo model.

Authors:  Nilesh R Ghugre; Eamon K Doyle; Pippa Storey; John C Wood
Journal:  Magn Reson Med       Date:  2014-09-19       Impact factor: 4.668

7.  Design and evaluation of quantitative MRI phantoms to mimic the simultaneous presence of fat, iron, and fibrosis in the liver.

Authors:  Ruiyang Zhao; Gavin Hamilton; Jean H Brittain; Scott B Reeder; Diego Hernando
Journal:  Magn Reson Med       Date:  2020-08-12       Impact factor: 4.668

8.  Efficient spiral in-out and EPI balanced steady-state free precession cine imaging using a high-performance 0.55T MRI.

Authors:  Matthew C Restivo; Rajiv Ramasawmy; W Patricia Bandettini; Daniel A Herzka; Adrienne E Campbell-Washburn
Journal:  Magn Reson Med       Date:  2020-04-14       Impact factor: 3.737

9.  Biopsy-based calibration of T2* magnetic resonance for estimation of liver iron concentration and comparison with R2 Ferriscan.

Authors:  Maciej W Garbowski; John-Paul Carpenter; Gillian Smith; Michael Roughton; Mohammed H Alam; Taigang He; Dudley J Pennell; John B Porter
Journal:  J Cardiovasc Magn Reson       Date:  2014-06-10       Impact factor: 5.364

10.  Monitoring Iron Overload: Relationship between R2* Relaxometry of the Liver and Serum Ferritin under Different Therapies.

Authors:  Michaela Plaikner; Christian Kremser; Heinz Zoller; Werner Jaschke; Benjamin Henninger
Journal:  J Clin Imaging Sci       Date:  2018-09-18
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  1 in total

Review 1.  [Low-field magnetic resonance imaging : Just less expensive or completely different?]

Authors:  Jürgen Hennig
Journal:  Radiologe       Date:  2022-03-08       Impact factor: 0.635

  1 in total

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