Evidence map›Paper›PMID 41376795›Full record

ReviewPolish journal of radiology2025

Iron overload in paediatric oncology: the role of radiology in diagnosing and monitoring secondary haemochromatosis.

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 haemochromatosis among paediatric oncologic patients is associated with various long-term complications. The liver is the most important organ for assessment of iron overload because the iron concentration is linearly correlated with total body iron stores. In the paediatric population, liver biopsy is considered too invasive for routine use. Therefore, evaluation of iron overload with magnetic resonance imaging is an alternative method. Reliable assessment of iron burden is necessary for early detection and severity grading. In the last 2 decades multiple methods for iron quantification with magnetic resonance imaging (MRI) have been developed. Both gradient-echo and spin-echo imaging, including signal intensity ratio and relaxometry strategies, are in clinical use. However, there are no universally accepted MRI protocols for paediatric oncology patients suspected of secondary haemochromatosis. If diagnosed and treated early, haemochromatosis progression can be distinctively altered. Iron overload impacts hepatocytes, pancreas's beta cells, heart, and spleen. Each organ displays distinct patterns of iron distribution, which require targeted imaging methods. This review will address the importance of using magnetic resonance imaging for iron measurements, as well as the evaluation for the liver, pancreas, and spleen.

Indexed as

hepatic iron overloadMRIpaediatric oncologypancreatic iron overloadsecondary haemochromatosisspleen iron overload

Identifiers

PMID41376795
PMCPMC12687321

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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.