Evidence map›Paper›PMID 41152137›Full record

ArticleMagnetic resonance in medicine2026

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.

Utsav Shrestha, Mark Bolding, Teresa Santiago, Zachary Abramson, Cara E Morin, Aaryani Tipirneni-Sajja

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2026. 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

6 authors.

Utsav ShresthaDepartment of Biomedical Engineering, The University of Memphis, Memphis, Tennessee, USA.ORCID https://orcid.org/0000-0002-6380-4423
Mark BoldingDepartment of Radiology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Teresa SantiagoDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Zachary AbramsonDepartment of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Cara E MorinDepartment of Radiology, Cincinnati Children's Hospital; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Aaryani Tipirneni-SajjaDepartment of Biomedical Engineering, The University of Memphis, Memphis, Tennessee, USA.ORCID https://orcid.org/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 1R21EB031298NIBIB NIH HHS R21 EB031298
6 · The paper itself

Abstract

purposeTo create virtual liver models simulating the concurrent presence of hepatic iron overload and steatosis based on human liver histology and to assess the accuracy and precision of R2* and fat fraction (FF) estimation at 0.55T compared to 1.5T.

methodsVirtual liver models simulating the coexistence of iron overload and steatosis were created, encompassing clinical liver iron concentration (LIC) (0-20 mg/g) and FF (0%-30%) ranges, using morphological characteristics derived from human liver histology. MRI signals were synthesized via Monte Carlo simulations under varying SNR conditions (SNR original (SNR

resultsSNR

conclusion0.55T shows promising results for concurrent R2* and FF estimation, enhancing accuracy and precision compared to 1.5T, especially with enhanced SNR.

Indexed as

Fatty LiverIron OverloadLiverMagnetic Resonance ImagingAdipose TissueAlgorithmsComputer SimulationHumansImage Processing, Computer-AssistedIronMonte Carlo MethodPhantoms, ImagingReproducibility of ResultsSignal-To-Noise RatioIronfat fractionhepatic steatosisiron overloadlower field MRIMonte Carlo simulationsphantomR2*

Identifiers

PMID41152137
PMCPMC13067369

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.