ArticleMagnetic resonance in medicine2022
Spectroscopy-based multi-parametric quantification in subjects with liver iron overload at 1.5T and 3T.
Article in Magnetic resonance in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- Validation of Intravoxel Incoherent Motion MRI Using Perfused Explanted Human Livers.Magnetic resonance in medicine · 2026Article
- Multi-Parameter Magnetic Resonance Spectroscopy in Cervix.NMR in biomedicine · 2026Article
- Optimized acquisition for simultaneous intravoxel incoherent motion and RMagnetic resonance in medicine · 2025Article
- Whole liver phase-based R2 mapping in liver iron overload within a breath-hold.Magnetic resonance in medicine · 2025Article
- Reproducibility of intravoxel incoherent motion quantification in the liver across field strengths and gradient hardware.Magnetic resonance in medicine · 2024Article
- Quantitative MRI of diffuse liver diseases: techniques and tissue-mimicking phantoms.Magma (New York, N.Y.) · 2023Review
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Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
purposeTo evaluate the precision profile (repeatability and reproducibility) of quantitative STEAM-MRS and to determine the relationships between multiple MR biomarkers of chronic liver disease in subjects with iron overload at both 1.5 Tesla (T) and 3T.
methodsMRS data were acquired in patients with known or suspected liver iron overload. Two STEAM-MRS sequences (multi-TE and multi-TE-TR) were acquired at both 1.5T and 3T (same day), including test-retest acquisition. Each acquisition enabled estimation of R1, R2, and FWHM (each separately for water and fat); and proton density fat fraction. The test-retest repeatability and reproducibility across acquisition modes (multi-TE vs. multi-TE-TR) of the estimates were evaluated using intraclass correlation coefficients, linear regression, and Bland-Altman analyses. Multi-parametric relationships between parameters at each field strength, across field strengths, and with liver iron concentration were also evaluated using linear and nonlinear regression.
resultsFifty-six (n = 56) subjects (10 to 73 years, 37 males/19 females) were successfully recruited. Both STEAM-MRS sequences demonstrated good-to-excellent precision (intraclass correlation coefficient ≥ 0.81) for the quantification of R1
conclusionsOver a broad range of liver iron concentration, STEAM-MRS enables rapid and precise measurement of multiple biomarkers of chronic liver disease. By evaluating the multi-parametric relationships between biomarkers, this work may advance the comprehensive MRS-based assessment of chronic liver disease and may help establish biomarkers of chronic liver disease.
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