Evidence map›Paper›PMID 39751630›Full record

SynthesisEuropean radiology2025

Reproducibility of liver iron concentration measured by R2* method based on 1.5-T MRI: a meta-analysis.

Sue Cao, Jie Zhang, Chenyu Dong, Yutao Que, Xin Gao, Ruomi Guo

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sue Cao *Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jie Zhang *Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Chenyu DongDepartment of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yutao QueDepartment of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xin GaoDepartment of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Ruomi GuoDepartment of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. guoruomi86@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-8207-8746

Funding

Guangdong Basic and Applied Basic Research Foundation No. 2024A1515010279, 2023A1515010256, 2022A1515010369National Natural Science Foundation of China No. 81801757
6 · The paper itself

Abstract

objectivesTo explore the reproducibility of the 1.5-T MR imaging (MRI)-based R2* method in measuring the liver iron concentration (LIC) across different MRI scanners, scan parameters, and postprocessing techniques. MATERIALS AND

methodsWe performed a systematic search of the PubMed, Embase, Medline, Cochrane Library, and Web of Science databases and identified studies that used the 1.5-T MRI-based R2* method to measure the LIC. The original data were extracted from the selected studies. Reproducibility was assessed in terms of the ability to replicate the measured LIC with the 1.5-T MRI-based R2* method across different scanning instruments, scan parameters, and postprocessing techniques. We used the scanner equipment, scan parameters, and postprocessing technique as random effects to determine whether the R2* values obtained in the different studies were significantly different after the effects of the measured LIC were excluded. The calibration curve that best fit the R2* value to the LIC was estimated via univariate regression.

resultsTwenty-one studies (1147 participants) were included. The seven studies (435 participants) in which the initial TE was ≤ 1.0 ms and the TE spacing was ≤ 1.4 ms did not have significant differences in the measured R2* value in pairwise comparisons (p > 0.05). Calibration of R2* to LIC was as follows: LIC (mg/g) = 0.042 + 2.85 × 10

conclusionThe 1.5-T MRI-based R2* method in estimating LIC was reproducible across different MRI scanners, scan parameters, and postprocessing techniques. KEY POINTS: Question The R2* method is widely used to quantify LIC, but the reproducibility of R2*-based LIC estimation remains unknown. Findings In scan sequences with an initial echo time (TE) ≤ 1.0 ms and a TE spacing ≤ 1.4 ms, the R2*-based LIC quantification at 1.5 T achieved good reproducibility. Clinical relevance The 1.5-T MRI-based R2* method enables reproducible quantification of the LIC; its reproducibility spares patients from unnecessary trauma and economic burdens while promoting the extensive clinical dissemination of R2*-based LIC quantification methods.

Indexed as

IronLiverMagnetic Resonance ImagingHumansReproducibility of ResultsIronIronLiverMagnetic resonance imagingReproducibility

Identifiers

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Registered trials

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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 Socratic graph.