Evidence map›Paper›PMID 26308155›Full record

ArticleMagnetic resonance in medicine2016

Does fat suppression via chemically selective saturation affect R2*-MRI for transfusional iron overload assessment? A clinical evaluation at 1.5T and 3T.

Axel J Krafft, Ralf B Loeffler, Ruitian Song, Xiao Bian, M Beth McCarville, Jane S Hankins, Claudia M Hillenbrand

Open access · bronzeAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Magnetic resonance in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. Impact of particle size onMagnetic resonance in medicine · 2025
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  4. Evaluation of Hepatic Iron Overload Using a Contemporary 0.55 T MRI System.Journal of magnetic resonance imaging : JMRI · 2022
    Article
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  8. Journal of clinical medicine · 2019
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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

7 authors at 2 institutions in 1 country.

Axel J KrafftDepartment of Radiological Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Ralf B LoefflerDepartment of Radiological Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Ruitian SongDepartment of Radiological Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Xiao BianDepartment of Radiological Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
M Beth McCarvilleDepartment of Radiological Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Jane S HankinsDepartment of Hematology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Claudia M HillenbrandDepartment of Radiological Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
St. Jude Children's Research Hospital · USRhodes College · US

Funding

Massive Iron Deposit Assessment (MIDAS)R01DK088988 · NIDDK · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI HANKINS, JANE SILVA, HILLENBRAND, CLAUDIA M · 2010 to 2013
$1.5M
NIDDK NIH HHS R01 DK088988
6 · The paper itself

Abstract

purposeFat suppression (FS) via chemically selective saturation (CHESS) eliminates fat-water oscillations in multiecho gradient echo (mGRE) R2*-MRI. However, for increasing R2* values as seen with increasing liver iron content (LIC), the water signal spectrally overlaps with the CHESS band, which may alter R2*. We investigated the effect of CHESS on R2* and developed a heuristic correction for the observed CHESS-induced R2* changes.

methodsEighty patients [female, n = 49; male, n = 31; mean age (± standard deviation), 18.3 ± 11.7 y] with iron overload were scanned with a non-FS and a CHESS-FS mGRE sequence at 1.5T and 3T. Mean liver R2* values were evaluated using three published fitting approaches. Measured and model-corrected R2* values were compared and statistically analyzed.

resultsAt 1.5T, CHESS led to a systematic R2* reduction (P < 0.001 for all fitting algorithms) especially toward higher R2*. Our model described the observed changes well and reduced the CHESS-induced R2* bias after correction (linear regression slopes: 1.032/0.927/0.981). No CHESS-induced R2* reductions were found at 3T.

conclusionThe CHESS-induced R2* bias at 1.5T needs to be considered when applying R2*-LIC biopsy calibrations for clinical LIC assessment, which were established without FS at 1.5T. The proposed model corrects the R2* bias and could therefore improve clinical iron overload assessment based on linear R2*-LIC calibrations. Magn Reson Med 76:591-601, 2016. © 2015 Wiley Periodicals, Inc.

Indexed as

AlgorithmsArtifactsAdipose TissueAdolescentAdultBlood TransfusionChildChild, PreschoolFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedInfantIron OverloadLiver DiseasesMalefat suppression (CHESS)hepatic iron overloadliver MRIquantitative MRIR2* quantification

Identifiers

PMID26308155
PMCPMC4769126
OpenAlexW2128493325

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.