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Review
. 2023 Apr;307(1):e221856.
doi: 10.1148/radiol.221856. Epub 2023 Feb 21.

Quantification of Liver Iron Overload with MRI: Review and Guidelines from the ESGAR and SAR

Affiliations
Review

Quantification of Liver Iron Overload with MRI: Review and Guidelines from the ESGAR and SAR

Scott B Reeder et al. Radiology. 2023 Apr.

Abstract

Accumulation of excess iron in the body, or systemic iron overload, results from a variety of causes. The concentration of iron in the liver is linearly related to the total body iron stores and, for this reason, quantification of liver iron concentration (LIC) is widely regarded as the best surrogate to assess total body iron. Historically assessed using biopsy, there is a clear need for noninvasive quantitative imaging biomarkers of LIC. MRI is highly sensitive to the presence of tissue iron and has been increasingly adopted as a noninvasive alternative to biopsy for detection, severity grading, and treatment monitoring in patients with known or suspected iron overload. Multiple MRI strategies have been developed in the past 2 decades, based on both gradient-echo and spin-echo imaging, including signal intensity ratio and relaxometry strategies. However, there is a general lack of consensus regarding the appropriate use of these methods. The overall goal of this article is to summarize the current state of the art in the clinical use of MRI to quantify liver iron content and to assess the overall level of evidence of these various methods. Based on this summary, expert consensus panel recommendations on best practices for MRI-based quantification of liver iron are provided.

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Conflict of interest statement

Disclosures of conflicts of interest: S.B.R. Grants from the National Institutes of Health (R01 DK117354 and R01 DK100691); ownership interests in Calimetrix, Reveal Pharmaceuticals, Cellectar Biosciences, Elucent Medical, HeartVista, and RevOps; support to institution from GE Healthcare and Bracco Diagnostics; Romnes Faculty Fellow with an award provided by the University of Wisconsin-Madison Office of the Vice Chancellor for Research and Graduate Education with funding from the Wisconsin Alumni Research Foundation. T.Y. Grant from NIDDK (R01 DK100651). M.F. No relevant relationships. D.H. Grants from the National Institutes of Health (R01 DK100651 and R01 DK117354); ownership interests in Calimetrix; support to institution from GE Healthcare and Bracco Diagnostics. A.A.B. CEO of Quibin SL, shareholder at Quibin SL. J.M.A. No relevant relationships. Y.G. No relevant relationships. B.H. No relevant relationships. C.H. No relevant relationships. K.J. No relevant relationships. M.K. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing, or educational events from Bayer and GE Healthcare. J.P.K. No relevant relationships. A.M. No relevant relationships. S.D.S. No relevant relationships. R.W. Payment for invited lecture from the Society of Abdominal Radiology; support for attending meetings and/or travel from the Society of Abdominal Radiology; chair, peer review subcommittee for the Canadian Hemoglobinopathy Association; participation on a Data Safety Monitoring Board or advisory board at Canada’s Drug and Health Technology Agency. J.C.W. Grants from the National Heart Lung and Blood Institute, Additional Ventures Single Ventricular Research Fund, and Philips Medical Systems; Dean’s Pilot Award, USC Keck School of Medicine; Strategic Directions for Research Reward, USC Provost’s Office; consulting fees from Celgene (Bristol-Meyer-Squibb), World Care Clinical, Imago Biosciences, Regeneron, Vifor Pharma, Pharmacosmos, Hillhurst Pharamceuticals and Agios; support for attending meetings and/or travel from Cooley’s Anemia Foundation; patent under review; participation on a data safety monitoring board or review board at Bayer Healthcare Pharmaceuticals, Hillhurst Pharmaceuticals, and NHLBI; research support from In Kind and Philips Medical Systems. J.Y. No relevant relationships. L.M.B. No relevant relationships.

Figures

None
Graphical abstract
Graphical representation of commonly used liver iron concentration
(LIC) thresholds summarized by St Pierre et al (11) and Henninger et al
(85). Units of LIC are shown in both milligrams per gram and micromolars per
gram. From left to right, color scale corresponds to normal, borderline
overload, mild overload, moderate overload, moderate-to-severe overload, and
severe overload.
Figure 1:
Graphical representation of commonly used liver iron concentration (LIC) thresholds summarized by St Pierre et al (11) and Henninger et al (85). Units of LIC are shown in both milligrams per gram and micromolars per gram. From left to right, color scale corresponds to normal, borderline overload, mild overload, moderate overload, moderate-to-severe overload, and severe overload.
The field strength dependence of R2*-based liver iron
concentration (LIC) mapping is removed after conversion of R2* to LIC
maps. Shown are R2* and LIC maps from three patients imaged at 1.5 T
and 3.0 T on the same day. R2-based LIC values are also shown
(top).
Figure 2:
The field strength dependence of R2*-based liver iron concentration (LIC) mapping is removed after conversion of R2* to LIC maps. Shown are R2* and LIC maps from three patients imaged at 1.5 T and 3.0 T on the same day. R2-based LIC values are also shown (top).

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