Evidence map›Paper›PMID 39748534›Full record

ArticleMagnetic resonance in medicine2025

Impact of particle size on

Utsav Shrestha, Sarah Brasher, Zachary Abramson, Cara E Morin, Aaryani Tipirneni-Sajja

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 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.

Utsav ShresthaDepartment of Biomedical Engineering, The University of Memphis, Memphis, Tennessee, USA.ORCID 0000-0002-6380-4423
Sarah BrasherDepartment of Biomedical Engineering, The University of Memphis, Memphis, Tennessee, USA.ORCID 0000-0001-8780-2329
Zachary AbramsonDepartment of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.ORCID 0000-0001-7875-1187
Cara E MorinDepartment of Radiology, Cincinnati Children's Hospital; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.ORCID 0000-0003-1953-4486
Aaryani Tipirneni-SajjaDepartment of Biomedical Engineering, The University of Memphis, Memphis, Tennessee, USA.ORCID 0000-0002-3246-8711

Funding

MODELING MRI-BASED TISSUE RELAXATION IN THE PRESENCE OF IRON OVERLOAD AND STEATOSISR21EB031298 · NIBIB · UNIVERSITY OF MEMPHIS · PI TIPIRNENI-SAJJA, AARYANI · 2021 to 2022
$589k
NIBIB NIH HHS R21 EB031298NIBIB NIH HHS R21EB031298
6 · The paper itself

Abstract

purposeTo investigate the impact of iron particle size on

methodsThree iron particle sizes (0.38, 0.52, and 0.71 μm) were studied using simulations and phantoms. Virtual liver models mimicking in vivo spatial distribution of fat droplets and iron deposits were created, and MRI signals were synthesized using Monte Carlo simulations for FF 1%-30% and liver iron concentration (LIC) 1-20 mg/g. Seventy-five fat-iron phantoms with varying iron (0-8 μg/mL) and fat (0%-40%) concentrations and particle sizes were constructed. Three-way analysis of variance was used to assess the effect of iron particle size on

resultsIn simulations, estimated and true FF were in excellent agreement (slope: 0.93-1.09) for liver iron concentration ≤ 13 mg/g. For both simulations and phantoms, FF estimation bias increased as iron concentration increased and particle size decreased, with 0.71μm iron particle having the lowest bias (≤ 20%), and 0.52 μm and 0.38 μm iron particles producing higher bias (≥ 20%) for higher iron concentrations and lower FFs. Additionally,

conclusion

Indexed as

Fatty LiverIron OverloadLiverMagnetic Resonance ImagingAdipose TissueAlgorithmsComputer SimulationHumansImage Processing, Computer-AssistedIronMonte Carlo MethodParticle SizePhantoms, ImagingIronMonte Carlo simulationsparticle sizephantomrelaxometryvirtual liver model

Identifiers

PMID39748534
PMCPMC12239026

What OpenQuestion holds

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Registered trials

None linked

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.