Liver iron quantification by 3 tesla MRI: Calibration on a rabbit model

Peng, Peng; Zhongkui, Huang; Zhao, Fanyu; Li, Chunyan; Li, Wen-Mei; He, Taigang

doi:10.1002/jmri.24074

Cited by 11 publications

(4 citation statements)

References 23 publications

(40 reference statements)

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“…The current gold standard for the evaluation of iron overload is percutaneous liver biopsy. Unfortunately, liver biopsy is invasive and painful and carries a 1% to 4% risk of potentially serious complications 2,3 . These limitations can be avoided through the use of noninvasive MRI‐based iron quantification 4 .…”

Section: Introductionmentioning

confidence: 99%

Relaxivity‐iron calibration in hepatic iron overload: Reproducibility and extension of a Monte Carlo model

Reeder

Hernando

2021

NMR in Biomedicine

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The aim of this study was to reproduce relaxivity-iron calibration in hepatic iron overload using a Monte Carlo model, and further extend the model with multiple spin echo (MSE) imaging. As previously reported, relationships between relaxation rates (R Ã 2 and single spin echo R 2 ) and liver iron concentration (LIC) can be characterized by a Monte Carlo model incorporating realistic liver structure, iron distribution, and proton mobility. In this study, relaxivity-iron calibration curves at 1.5 and 3.0 T were simulated using the Monte Carlo model. Furthermore, the model was extended with MSE imaging, and iron calibrations were evaluated using two different fitting models: mononexponential with a constant offset and nonmonoexponential. Results consistent with previous empirical calibrations and Monte Carlo predictions were accurately reproduced for relaxivity-iron calibration. The predicted R Ã 2 and single spin echo R 2 increased by a factor of 2.00 and 1.51, respectively, at 1.5 versus 3.0 T. MSE signals and their corresponding R 2 depended strongly on LIC, interecho time, and field strength. Preliminary results showed that a nonmonoexponential model accurately characterizes the simulated MSE signals, and that strong correlations were found between predicted relaxation parameters and LIC. In conclusion, relaxivity-iron calibration is reproducible using the proposed Monte Carlo model. Furthermore, this model can be readily extended to other important applications, including predicting signal behavior for MSE imaging.

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Section: Introductionmentioning

confidence: 99%

Relaxivity‐iron calibration in hepatic iron overload: Reproducibility and extension of a Monte Carlo model

Reeder

Hernando

2021

NMR in Biomedicine

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“…Magnetic resonance imaging (MRI) is a useful tool for non-invasive and effective detection of the liver–iron overload (8,9). Ferriscan-R2 and GRE-R2* mappings are some of the conventional techniques used for the abovementioned purpose.…”

Section: Introductionmentioning

confidence: 99%

Multi-echo Dixon and breath-hold T2-corrected multi-echo single-voxel MRS for quantifying hepatic iron overload in rabbits

et al. 2021

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Background Three-dimensional (3D) multi-echo-Dixon (ME-Dixon) and breath-hold T2-corrected multi-echo single-voxel MR spectroscopy (HISTO) can simultaneously quantify liver fat and liver iron. However, their diagnostic efficacy and application scope for quantitative iron in co-existing fatty liver have not been adequately evaluated. Purpose To evaluate the accuracy of ME-Dixon and HISTO for quantitative analysis of hepatic iron in rabbits with iron deposition and fatty liver using liver–iron concentration (LIC) as a reference standard. Material and Methods ME-Dixon, HISTO, and conventional two-dimensional multi-echo gradient echo (GRE) sequences were performed on 42 rabbits. The following parameters were calculated: R2* from ME-Dixon and GRE; proton density fat fraction (PDFF) from the ME-Dixon, HISTO (normal TE range), and HISTO-H (extended TE range); and R2_water from HISTO and HISTO-H. The LIC and liver–fat concentration (LFC) were measured through chemical analysis, and their relationship with the MRI parameters were assessed. Receiver operating characteristic (ROC) curves and the area under the curve (AUC) were used to evaluate the diagnostic efficiency. Results LIC was significantly correlated with R2_HISTO-H, R2*_Dixon, and R2*_GRE ( r = 0.858, 0.910, 0.931, respectively; P < 0.001) and weakly with R2_HISTO ( r = 0.424; P = 0.008). A strong correlation was also observed between the LFC and PDFF obtained from HISTO, HISTO-H, and ME-Dixon ( r = 0.776, 0.811, 0.888, respectively; P < 0.001). ME-Dixon showed the best performance with moderate iron overload (AUC = 0.983). Conclusion 3D ME-Dixon is useful for quantifying the LIC, especially with co-existing fatty liver. Its diagnostic performance is also superior to that of the HISTO sequence.

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“…A timely and accurate iron chelation therapy is needed to maintain the body iron at safe levels, while minimizing the risks of toxicity from iron chelation . Considering that excess iron tends to accumulate in the liver, hepatic iron concentration (HIC) is commonly used as a surrogate for the total body iron loading . Percutaneous liver biopsy is the current gold standard for the evaluation of HIC.…”

Section: Introductionmentioning

confidence: 99%

Improved liver mapping by pixel‐wise curve fitting with adaptive neighborhood regularization

Zhang

Liu

et al. 2018

Magnetic Resonance in Med

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Liver iron quantification by 3 tesla MRI: Calibration on a rabbit model

Abstract: Both SIR and R2 are highly correlated with LIC in a novel rabbit model. MRI quantification of liver iron overload is feasible at 3T.

Cited by 11 publications

References 23 publications

Relaxivity‐iron calibration in hepatic iron overload: Reproducibility and extension of a Monte Carlo model

Relaxivity‐iron calibration in hepatic iron overload: Reproducibility and extension of a Monte Carlo model

Multi-echo Dixon and breath-hold T2-corrected multi-echo single-voxel MRS for quantifying hepatic iron overload in rabbits

Improved liver mapping by pixel‐wise curve fitting with adaptive neighborhood regularization

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