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State-of-the-Art Quantification of Liver Iron With MRI-Vendor Implementation and Available Tools
Aaryani Tipirneni-Sajja1,2, Utsav Shrestha1,2, Juan Esparza1
1Department of Biomedical Engineering, The University of Memphis, Memphis, Tennessee, USA.
Abstract:
The role of MRI to estimate liver iron concentration (LIC) for identifying patients with iron overload and guiding the titration of chelation therapy is increasingly established for routine clinical practice. However, the existence of multiple MRI-based LIC quantification techniques limits standardization and widespread clinical adoption. In this article, we review the existing and widely accepted MRI-based LIC estimation methods at 1.5 T and 3 T: signal intensity ratio (SIR) and relaxometry (R2 and R2*) and discuss the basic principles, acquisition and analysis protocols, and MRI-LIC calibrations for each technique. Further, we provide an up-to-date information on MRI vendor implementations and available offline commercial and free software for each MRI-based LIC quantification approach. We also briefly review the emerging and advanced MRI techniques for LIC estimation and their current limitations for clinical use. Lastly, we discuss the implications of MRI-based LIC measurements on clinical use and decision-making in the management of patients with iron overload. Some of the key highlights from this review are as follows: 1) Both R2 and R2* can estimate accurate and reproducible LIC, when validated acquisition parameters and analysis protocols are applied, 2) Although the Ferriscan R2 method has been widely used, recent consensus and guidelines endorse R2*-MRI as the most accurate and reproducible method for LIC estimation, 3) Ongoing efforts aim to establish R2*-MRI as the standard approach for quantifying LIC, and 4) Emerging R2*-MRI techniques employ radial sampling strategies and offer improved motion compensation and broader dynamic range for LIC estimation. EVIDENCE LEVEL: 1 TECHNICAL EFFICACY: Stage 2.
Insights
Magnetic Resonance Imaging (MRI) estimates liver iron concentration (LIC) to manage iron overload. R2*-MRI is emerging as the most accurate and reproducible method for LIC estimation, aiming for clinical standardization.
Area of Science:
- Radiology
- Medical Imaging
- Biophysics
Background:
- Magnetic Resonance Imaging (MRI) is crucial for estimating liver iron concentration (LIC) in patients with iron overload.
- Standardization of MRI-based LIC quantification is limited by multiple existing techniques.
Purpose of the Study:
- To review established and emerging MRI techniques for LIC estimation.
- To discuss protocols, calibrations, software, and clinical implications for MRI-based LIC quantification.
Main Methods:
- Review of signal intensity ratio (SIR), R2, and R2* relaxometry methods for LIC estimation at 1.5T and 3T.
- Discussion of acquisition protocols, analysis, calibration, vendor implementations, and software.
Main Results:
- Both R2 and R2* relaxometry can accurately estimate LIC with validated protocols.
- R2*-MRI is increasingly endorsed as the most accurate and reproducible method over the Ferriscan R2 method.
- Emerging R2*-MRI techniques show promise with improved motion compensation and dynamic range.
Conclusions:
- R2*-MRI is positioned to become the standard for LIC quantification.
- Standardized MRI-based LIC measurements will improve clinical decision-making in iron overload management.
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