Evidence map›Paper›PMID 41584557›Full record

ReviewPolish journal of radiology2025

Quantification of liver iron overload among pediatric patients with magnetic resonance imaging: current state of the art.

Gabriela Alicja Hryniewicz, Dominik Świętoń, Małgorzata Grzywińska, Kacper Marunowski, Maciej Piskunowicz

Abstract readReview
In one paragraph

Review in Polish journal of 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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Gabriela Alicja Hryniewicz2 Department of Radiology, Medical University of Gdansk, Poland.
Dominik Świętoń2 Department of Radiology, Medical University of Gdansk, Poland.
Małgorzata GrzywińskaDepartment of Neurophysiology, Neuropsychology and Neuroinformatics, Medical University of Gdansk, Poland.
Kacper Marunowski2 Department of Radiology, Medical University of Gdansk, Poland.
Maciej Piskunowicz1 Department of Radiology, Medical University of Gdansk, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Secondary iron overload in pediatric oncology patients is related to excessive iron accumulation in the liver, with subsequent cirrhosis and dangerous complications affecting numerous other organs. Liver iron concentration (LIC) correlates linearly with the total body iron stores; therefore, the quantification of hepatic iron is of major research interest. Although liver biopsy has been considered the gold standard for identifying iron overload, magnetic resonance imaging (MRI) is a non-invasive and highly accurate alternative method for the assessment of hemochromatosis. Our intention is to present a brief description of MRI-based procedures and a comparison of selected methods. Briefly, among the available methods, the liver-to-muscle signal intensity is accessible and easy to apply; however, it assumes that muscle is pathology-free, which may not always be true. Transverse relaxometry is a valid method and allows for the identification of a low iron burden. However, this technique is unfortunately prone to motion artifacts and provides inconsistent results in cases of heavy iron overload. Finally, quantitative susceptibility mapping (QSM) is a notable procedure considered to be of significant interest for the future. The exact correlation between QSM and LIC, as measured by liver biopsy has yet to be established.

Indexed as

hepatic iron overloadMRIpediatric oncologyquantitative susceptibility mappingsignal intensity ratioT2 relaxometry

Identifiers

PMID41584557
PMCPMC12825109

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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 OpenQuestion graph.