Evidence map›Paper›PMID 42159302›Full record

ArticleJournal of magnetic resonance imaging : JMRI2026

Cross-Vendor Validation of Proton Density Fat Fraction and T

Jitka Starekova, Sebastian Weingärtner, David R Rutkowski, Garrett C Fullerton, Won C Bae, Hung P Do, Ananth J Madhuranthakam, Vadim Malis, Sheng Qing Lin, Suraj D Serai and 4 more

Abstract readMulticenter StudyValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

14 authors.

Jitka StarekovaDepartment of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0002-4285-3090
Sebastian WeingärtnerDepartment of Imaging Physics, Delft University of Technology, Delft, the Netherlands.ORCID https://orcid.org/0000-0002-0739-6306
David R RutkowskiCalimetrix, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0002-1168-5004
Garrett C FullertonDepartment of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0003-3420-9956
Won C BaeDepartment of Radiology, University of California San Diego, San Diego, California, USA.
Hung P DoCanon Medical Systems USA, Tustin, California, USA.ORCID https://orcid.org/0000-0002-8141-8630
Ananth J MadhuranthakamDepartment of Radiology, University of Texas, Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0002-5524-7962
Vadim MalisDepartment of Radiology, University of California San Diego, San Diego, California, USA.
Sheng Qing LinDepartment of Radiology, University of Texas, Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0003-4216-1155
Suraj D SeraiDepartment of Radiology, Children's Hospital of Philadelphia, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-8821-0971
Takeshi YokooDepartment of Radiology, University of Texas, Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0002-5092-6931
Scott B ReederDepartment of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0003-4728-8171
Jean H BrittainCalimetrix, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0002-1314-8114
Diego HernandoDepartment of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0002-0016-0317

Funding

Fully Automated High-Throughput Quantitative MRI of the LiverR01EB031886 · UNIVERSITY OF WISCONSIN-MADISON · 2025 to 2025
$584k
Next-Generation Whole-Body MRI for Detection and Assessment of Therapy Response in Bone LesionsR01CA283663 · MAYO CLINIC ROCHESTER · 2025 to 2025
$583k
European Research Council ERC Grant 101078711Nederlandse Hartstichting, Grant 03-004-2022-0079NIH HHS R01CA283663NIH HHS R01EB031886NIH HHS R41EB025729NIH HHS R44EB025729
6 · The paper itself

Abstract

backgroundIn chronic liver disease, fat and fibroinflammatory changes often coexist. However, their biomarkers, proton density fat fraction (PDFF) and T PURPOSE: To assess multicenter, multi-vendor reproducibility of confounder-corrected chemical shift-encoded (CSE)-MRI-based PDFF mapping and MOLLI-based T STUDY TYPE: Prospective phantom study. PHANTOM: Commercial PDFF-T FIELD STRENGTH/SEQUENCE: 1.5 T and 3 T multi-echo, three-dimensional spoiled-gradient-echo (SGRE) sequence for PDFF mapping, and MOLLI sequence (5(3)3 acquisition scheme) using two-dimensional SGRE readouts for T ASSESSMENT: PDFF and T STATISTICAL TESTS: Intraclass correlation coefficients (ICC), reproducibility coefficients (RDC), and linear regression analysis were used. A p value < 0.05 was considered statistically significant.

resultsPDFF showed overall excellent reproducibility (ICC = 0.987, RDC = 3.7%), with increased variability at higher T DATA

conclusionThis phantom study demonstrated high reproducibility of PDFF, whereas T EVIDENCE LEVEL: N/A. TECHNICAL EFFICACY: Stage 1.

Indexed as

Adipose TissueLiverMagnetic Resonance ImagingPhantoms, ImagingAlgorithmsHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedImaging, Three-DimensionalProspective StudiesProtonsReproducibility of ResultsProtonsCSE‐MRIPDFFphantomquantificationreproducibilityT1

Identifiers

PMID42159302
PMCPMC13356357

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.