Evidence map›Paper›PMID 39238238›Full record

Observational studyMagnetic resonance in medicine2025

Multicenter, multivendor validation of liver quantitative susceptibility mapping in patients with iron overload at 1.5 T and 3 T.

Collin J Buelo, Julia Velikina, Lu Mao, Ruiyang Zhao, Qing Yuan, Mounes Aliyari Ghasabeh, Stefan Ruschke, Dimitrios C Karampinos, David T Harris, Ryan J Mattison and 7 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

17 authors.

Collin J BueloDepartment of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0003-4831-7333
Julia VelikinaDepartment of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0002-2058-8601
Lu MaoDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0002-8626-9822
Ruiyang ZhaoDepartment of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Qing YuanDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Mounes Aliyari GhasabehDepartment of Radiology, The John Hopkins University, Baltimore, Maryland, USA.
Stefan RuschkeDepartment of Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0001-9658-6541
Dimitrios C KarampinosDepartment of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.
David T HarrisDepartment of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Ryan J MattisonDepartment of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Michael R JengDepartment of Pediatrics, Stanford University, Stanford, California, USA.
Ivan PedrosaDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Ihab R KamelDepartment of Radiology, The John Hopkins University, Baltimore, Maryland, USA.
Shreyas VasanawalaDepartment of Radiology, Stanford University, Stanford, California, USA.
Takeshi YokooDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Scott B ReederDepartment of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0003-4728-8171
Diego HernandoDepartment of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0002-0016-0317

Funding

U.W. RADIOLOGICAL SCIENCES TRAINING PROGRAMT32CA009206 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Bryan Patrick Bednarz · 1985 to 2026
$12.1M
Confounder-Corrected Quantitative MRI Biomarkers of HepaticR01DK100651 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2014 to 2017
$2.7M
Novel Statistical Methods for Complex Time-to-Event Data in Cardiovascular Clinical TrialsR01HL149875 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Lu Mao · 2020 to 2026
$2.4M
MRI-based Quantitative Susceptibility Mapping of Hepatic Iron OverloadR01DK117354 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI HERNANDO, DIEGO · 2018 to 2021
$2.3M
NCI NIH HHS T32 CA009206NHLBI NIH HHS R01 HL149875NIDDK NIH HHS R01 DK100651NIDDK NIH HHS R01 DK117354NIH HHS R01 DK100651NIH HHS R01 DK117354NIH HHS T32 CA009206
6 · The paper itself

Abstract

purposeTo evaluate the repeatability and reproducibility of QSM of the liver via single breath-hold chemical shift-encoded MRI at both 1.5 T and 3 T in a multicenter, multivendor study in subjects with iron overload.

methodsThis prospective study included four academic medical centers with three different MRI vendors at 1.5 T and 3 T. Subjects with known or suspected liver iron overload underwent multi-echo spoiled gradient-recalled-echo scans at each field strength. A subset received repeatability testing at either 1.5 T or 3 T. Susceptibility and

resultsA total of 155/80 data sets (test/retest) were available at 1.5 T, and 159/70 data sets (test/retest) were available at 3 T. Calibrations across sites were reproducible, with some variability (e.g., susceptibility slope with liver iron concentration ranged from 0.102 to 0.123 g/[mg

conclusionQSM as an imaging biomarker of liver iron overload is feasible and repeatable across centers and MR vendors. It may be complementary with

Indexed as

Iron OverloadLiverMagnetic Resonance ImagingAdultFemaleHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedIronMaleMiddle AgedProspective StudiesReproducibility of ResultsIronironliverQSMR2*susceptibility

Identifiers

PMID39238238
PMCPMC12100551

What OpenQuestion holds

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LicenceCC BY-NC
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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.