Evidence map›Paper›PMID 36575339›Full record

ArticleMolecular imaging and biology2023

Imaging Non-alcoholic Fatty Liver Disease Model Using H-1 and F-19 MRI.

Deanne Lister, Gabrielle Blizard, Mojgan Hosseini, Karen Messer, Jeremy Wellen, Claude B Sirlin, Eric T Ahrens

Abstract read
In one paragraph

Article in Molecular imaging and biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Deanne ListerDepartment of Radiology, University of California, 9500 Gilman Dr. #0695, La Jolla, San Diego, CA, 92093-0695, USA.
Gabrielle BlizardDepartment of Biology, University of California, La Jolla, San Diego, CA, USA.
Mojgan HosseiniDepartment of Pathology, University of California, La Jolla, San Diego, CA, USA.
Karen MesserDepartment of Family Medicine and Public Health, University of California, La Jolla, San Diego, CA, USA.
Jeremy WellenBristol-Meyers Squibb, San Diego, CA, USA.
Claude B SirlinDepartment of Radiology, University of California, 9500 Gilman Dr. #0695, La Jolla, San Diego, CA, 92093-0695, USA.
Eric T AhrensDepartment of Radiology, University of California, 9500 Gilman Dr. #0695, La Jolla, San Diego, CA, 92093-0695, USA. eta@ucsd.edu.ORCID http://orcid.org/0000-0001-6131-9304

Funding

CLINICAL TRANSLATION OF 19F MRI TO VISUALIZE CANCER IMMUNOTHERAPEUTIC CELLSR01CA134633 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AHRENS, ERIC T., COHEN, EZRA · 2009 to 2021
$4.4M
Compositions and methods for enhanced fluorine-19 magnetic resonance imaging cell trackingR01EB024015 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AHRENS, ERIC T. · 2017 to 2020
$2.3M
NCI NIH HHS R01 CA134633NIBIB NIH HHS R01 EB024015NIH HHS R01-CA139579
6 · The paper itself

Abstract

purposeWe explore the use of intravenously delivered perfluorocarbon (PFC) nanoemulsion and PROCEDURES: C57BL/6 mice were fed standard or high-fat diet (HFD) for 6 weeks to induce NAFLD.

resultsSignificant increases in liver volume, PDFF, and total PFC uptake were noted in HFD mice compared to Std diet mice. Liver fluorine density and T

conclusionsWe demonstrated longitudinal quantification of multiple MRI biomarkers of disease in NAFLD mice. The changes in liver PFC uptake in HFD mice were compared with healthy mice that suggests that

Indexed as

Non-alcoholic Fatty Liver DiseaseAnimalsBiomarkersLiverMagnetic Resonance ImagingMiceMice, Inbred C57BLProtonsBiomarkersProtonsFatty liver diseaseFluorine-19InflammationIn vivoMacrophageMRINAFLDNanoemulsionNASHPerfluorocarbonSteatohepatitisSteatosis

Identifiers

PMID36575339
PMCPMC10246777

What OpenQuestion holds

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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 OpenQuestion graph.