Evidence map›Paper›PMID 31172210›Full record

ArticleAbdominal radiology (New York)2019

Measurement of spleen fat on MRI-proton density fat fraction arises from reconstruction of noise.

Cheng William Hong, Gavin Hamilton, Catherine Hooker, Charlie C Park, Calvin Andrew Tran, Walter C Henderson, Jonathan C Hooker, Soudabeh Fazeli Dehkordy, Jeffrey B Schwimmer, Scott B Reeder and 1 more

Open access · greenAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Abdominal radiology (New York), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Proton density fat fraction: magnetic resonance imaging applications beyond the liver.Diagnostic and interventional radiology (Ankara, Turkey) · 2022
    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

11 authors at 2 institutions in 1 country.

Cheng William HongLiver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA, USA. cwhong@ucsd.edu.ORCID 0000-0002-5219-6039
Gavin HamiltonLiver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA, USA.
Catherine HookerLiver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA, USA.
Charlie C ParkLiver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA, USA.
Calvin Andrew TranLiver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA, USA.
Walter C HendersonLiver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA, USA.
Jonathan C HookerLiver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA, USA.
Soudabeh Fazeli DehkordyLiver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA, USA.
Jeffrey B SchwimmerDepartment of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA.
Scott B ReederDepartments of Radiology, Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin Madison, Madison, WI, USA.
Claude B SirlinLiver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA, USA. csirlin@ucsd.edu.
University of California San Diego · USUniversity of Wisconsin–Madison · US

Funding

Technical Validation of MRI Biomarkers of Liver FatR01DK088925 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B., SIRLIN, CLAUDE B · 2010 to 2021
$7.1M
QUS Technology for Diagnosis and Grading of Hepatic Steatosis in NAFLDR01DK106419 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT, SIRLIN, CLAUDE B · 2015 to 2019
$3.4M
Traning Clinical Scientists in Radiological ImagingT32EB005970 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Eric Y Chang, Rebecca Ann Rakow-Penner · 2007 to 2026
$3.2M
Confounder-Corrected Quantitative MRI Biomarkers of HepaticR01DK100651 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2014 to 2017
$2.7M
Technical Development of Quantitative Biomarkers of Fatty Liver Disease with MRIR01DK083380 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2010 to 2013
$1.2M
Evolution of Quantitative MRI Biomarkers of Metabolic Syndrome During PubertyK24DK102595 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2014 to 2018
$927k
NIBIB NIH HHS T32 EB005970NIDDK NIH HHS K24 DK102595NIDDK NIH HHS R01 DK083380NIDDK NIH HHS R01 DK088925NIDDK NIH HHS R01 DK100651NIDDK NIH HHS R01 DK100651-03NIDDK NIH HHS R01 DK106419NIDDK NIH HHS R01 DK106419-02NIH HHS T32 EB005970-09
6 · The paper itself

Abstract

purposeThis study compares splenic proton density fat fraction (PDFF) measured using confounder-corrected chemical shift-encoded (CSE)-MRI to magnetic resonance spectroscopy (MRS) in human patients at 3T.

methodsThis was a prospectively designed ancillary study to various previously described single-center studies performed in adults and children with known or suspected nonalcoholic fatty liver disease. Patients underwent magnitude-based MRI (MRI-M), complex-based MRI (MRI-C), high signal-to-noise variants (Hi-SNR MRI-M and Hi-SNR MRI-C), and MRS at 3T for spleen PDFF estimation. PDFF from CSE-MRI methods were compared to MRS-PDFF using Wilcoxon signed-rank tests. Demographics were summarized descriptively. Spearman's rank correlations were computed pairwise between CSE-MRI methods. Individual patient measurements were plotted for qualitative assessment. A significance level of 0.05 was used.

resultsForty-seven patients (20 female, 27 male) including 12 adults (median 55 years old) and 35 children (median 12 years old). Median PDFF estimated by MRS, MRI-M, Hi-SNR MRI-M, MRI-C, and Hi-SNR MRI-C was 1.0, 2.3, 1.9, 2.2, and 2.0%. The four CSE-MRI methods estimated statistically significant higher spleen PDFF values compared to MRS (p < 0.0001 for all). Pairwise associations in spleen PDFF values measured by different CSE-MRI methods were weak, with the highest Spearman's rank correlations being 0.295 between MRI-M and Hi-SNR MRI-M; none were significant after correction for multiple comparisons. No qualitative relationship was observed between PDFF measurements among the various methods.

conclusionOverestimation of PDFF by CSE-MRI compared to MRS and poor agreement between related CSE-MRI methods suggest that non-zero PDFF values in human spleen are artifactual.

Indexed as

Adipose TissueAdolescentAdultAlgorithmsChildFemaleHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMaleMiddle AgedProspective StudiesSignal-To-Noise RatioSpleenArtifactualCSE-MRIFat quantificationSpectroscopySpleen

Identifiers

PMID31172210
PMCPMC7275729
OpenAlexW2948282546

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.