Evidence map›Paper›PMID 41712133›Full record

ArticleMagma (New York, N.Y.)2026

Accelerated free-breathing volumetric liver proton density fat fraction (PDFF) and

Xiaodong Zhong, Marcel D Nickel, Brian M Dale, Cara E Morin, Zachary Abramson, Yuxi Pang, Fei Han, Vibhas Deshpande, Stephan A R Kannengiesser, Aaryani Tipirneni-Sajja

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In one paragraph

Article in Magma (New York, N.Y.), 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. 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

10 authors.

Xiaodong ZhongDepartment of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, 300 Medical Plaza Drive, Suite B119B, Los Angeles, CA, 90095-7350, USA. xiaodongzhong@mednet.ucla.edu.ORCID http://orcid.org/0000-0001-8355-5279
Marcel D NickelMR Application Predevelopment, Siemens Healthineers AG, Forchheim, Germany.
Brian M DaleMR R&D Collaborations, Siemens Medical Solutions USA, Inc, Cary, NC, USA.
Cara E MorinDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Zachary AbramsonDepartment of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, USA.
Yuxi PangDepartment of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, USA.
Fei HanMR R&D Collaborations, Siemens Medical Solutions USA, Inc, Los Angeles, CA, USA.
Vibhas DeshpandeMR R&D Collaborations, Siemens Medical Solutions USA, Inc, Austin, TX, USA.
Stephan A R KannengiesserMR Application Predevelopment, Siemens Healthineers AG, Forchheim, Germany.
Aaryani Tipirneni-SajjaDepartment of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, USA.

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

objectiveTo evaluate an accelerated free-breathing three-dimensional stack-of-radial MRI technique of liver proton density fat fraction (PDFF) and

methodsA newly developed compressed sensing reconstruction with multidimensional regularization was evaluated on undersampled data in 21 clinical pediatric subjects at 1.5 T with respect to the reference-standard self-gating reconstruction on oversampled data (700 radial views per slice). PDFF and

resultsEcho images, PDFF and

conclusionThe proposed method may allow accelerated free-breathing liver PDFF and

Indexed as

Compressed sensingMultidimensional regularizationPDFFPediatric MRIRadial MRIRespiratory motion compensation

Identifiers

PMID41712133
PMCPMC13286881

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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.