ArticleJournal of magnetic resonance imaging : JMRI2017
Quantification of liver fat in the presence of iron overload.
Article in Journal of magnetic resonance imaging : JMRI, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01516853 (Non-invasive Quantification of Liver Iron With MRI), which is not on this map. Cited by 37 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Non-invasive Quantification of Liver Iron With MRI
Who cites it
37 citing papers in PubMed, 56 citations in OpenAlex.
- Noninvasive Assessment of Hepatic Steatosis in Living Liver Donors.Diagnostics (Basel, Switzerland) · 2026Article
- A Flexible Approach for Fat-Water Separation With Bipolar Readouts and Correction of Gradient-Induced Phase and Amplitude Effects.Magnetic resonance in medicine · 2026Article
- Evaluation of 0.55T MRI for Simultaneous R2* and Fat Fraction Quantification in the Presence of Hepatic Iron Overload and Steatosis Using Simulations and Phantoms.Magnetic resonance in medicine · 2026Article
- Generalized U-Net for automatic liver segmentation and R2* estimation for assessment of iron overload using MRI.BMC medical imaging · 2026Article
- A dedicated phantom for exploring the interplay of fat and paramagnetic substances in quantitative susceptibility mapping.Magma (New York, N.Y.) · 2025Article
- Whole liver phase-based R2 mapping in liver iron overload within a breath-hold.Magnetic resonance in medicine · 2025Article
- Impact of particle size onMagnetic resonance in medicine · 2025Article
- The Effect of the Level of Goat Liver Addition to Goat Minced Meat on the Near-Infrared Spectra, Colour, and Shelf Life of Samples.Foods (Basel, Switzerland) · 2025Article
- Effect of particle size on liver MRIMagnetic resonance in medicine · 2024Article
- Hepatic steatosis modeling and MRI signal simulations for comparison of single- and dual-R2* models and estimation of fat fraction at 1.5T and 3T.Computers in biology and medicine · 2024Article
- Differential association of abdominal, liver, and epicardial adiposity with anthropometry, diabetes, and cardiac remodeling in Asians.Frontiers in endocrinology · 2024Observational
- Simulation of a virtual liver iron overload model and RNMR in biomedicine · 2023Article
- Clinical Application of Quantitative MR Imaging in Nonalcoholic Fatty Liver Disease.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2023Review
- Confounder-corrected TMagnetic resonance in medicine · 2023Article
- Addressing concomitant gradient phase errors in time-interleaved chemical shift-encoded MRI fat fraction and RMagnetic resonance in medicine · 2022Article
- Spectroscopy-based multi-parametric quantification in subjects with liver iron overload at 1.5T and 3T.Magnetic resonance in medicine · 2022Article
- Design and evaluation of quantitative MRI phantoms to mimic the simultaneous presence of fat, iron, and fibrosis in the liver.Magnetic resonance in medicine · 2021Article
- Complex confounder-corrected R2* mapping for liver iron quantification with MRI.European radiology · 2021Article
- Effect of noise and estimator type on bias for analysis of liver proton density fat fraction.Magnetic resonance imaging · 2020Article
- Evaluation of liver iron overload with R2* relaxometry with versus without fat suppression: both are clinically accurate but there are differences.European radiology · 2020Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
purposeTo evaluate the accuracy of R2* models (1/T MATERIALS AND
methodsTwo Monte Carlo simulations were implemented to compare the root-mean-squared-error (RMSE) performance of single-R2* and dual-R2* correction in a theoretical liver environment with high iron. Fatty liver was defined as hepatic PDFF >5.6% based on MRS; only subjects with fatty liver were considered for analyses involving fat. From a group of 40 patients with known/suspected iron overload, nine patients were identified at 1.5T, and 13 at 3.0T with fatty liver. MRS linewidth measurements were used to estimate R2* values for water and fat peaks. PDFF was measured from CSE-MRI data using single-R2* and dual-R2* correction with magnitude and complex fitting.
resultsSpectroscopy-based R2* analysis demonstrated that the R2* of water and fat remain close in value, both increasing as iron overload increases: linear regression between R2*
conclusionSingle-R2* modeling enables accurate PDFF quantification, even in patients with iron overload. LEVEL OF EVIDENCE: 1 J. Magn. Reson. Imaging 2017;45:428-439.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.