Evidence map›Paper›PMID 36408802›Full record

ArticleMagnetic resonance in medicine2023

Validation of liver quantitative susceptibility mapping across imaging parameters at 1.5 T and 3.0 T using SQUID susceptometry as reference.

Ruiyang Zhao, Julia Velikina, Scott B Reeder, Shreyas Vasanawala, Michael Jeng, Diego Hernando

Open access · hybridAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. QSM Throughout the Body.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  8. 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

6 authors at 2 institutions in 1 country.

Ruiyang ZhaoDepartment of Radiology, University of Wisconsin, Madison, Wisconsin, USA.ORCID 0000-0002-2386-9767
Julia VelikinaDepartment of Radiology, University of Wisconsin, Madison, Wisconsin, USA.ORCID 0000-0002-2058-8601
Scott B ReederDepartment of Radiology, University of Wisconsin, Madison, Wisconsin, USA.ORCID 0000-0003-4728-8171
Shreyas VasanawalaDepartment of Radiology, Stanford University, Stanford, California, USA.
Michael JengDepartment of Pediatrics, Stanford University, Stanford, California, USA.
Diego HernandoDepartment of Radiology, University of Wisconsin, Madison, Wisconsin, USA.ORCID 0000-0002-0016-0317
University of Wisconsin–Madison · USStanford University · 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
Confounder-Corrected Quantitative MRI Biomarkers of HepaticR01DK100651 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2014 to 2017
$2.7M
Fully Automated High-Throughput Quantitative MRI of the LiverR01EB031886 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI HERNANDO, DIEGO, REEDER, SCOTT B. · 2022 to 2025
$2.4M
MRI-based Quantitative Susceptibility Mapping of Hepatic Iron OverloadR01DK117354 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI HERNANDO, DIEGO · 2018 to 2021
$2.3M
NIBIB NIH HHS R01 EB031886NIDDK NIH HHS R01 DK088925NIDDK NIH HHS R01 DK100651NIDDK NIH HHS R01 DK117354
6 · The paper itself

Abstract

purposeTo validate QSM-based biomagnetic liver susceptometry (BLS) to measure liver iron overload at 1.5 T and 3.0 T using superconducting quantum interference devices (SQUID)-based BLS as reference.

methodsSubjects with known or suspected iron overload were recruited for QSM-BLS at 1.5 T and 3.0 T using eight different protocols. SQUID-BLS was also obtained in each subject to provide susceptibility reference. A recent QSM method based on data-adaptive regularization was used to obtain susceptibility and

resultsSusceptibility maps showed high subjective quality for each acquisition protocol across different iron levels. High linear correlation was observed between QSM-BLS and SQUID-BLS at 1.5 T (r

conclusionThis work evaluated the feasibility and performance of liver QSM-BLS across iron levels and acquisition protocols at 1.5 T and 3.0 T. High correlation and reproducibility were observed between QSM-BLS and SQUID-BLS across protocols and field strengths. In summary, QSM-BLS may enable reliable and reproducible quantification of liver iron concentration.

Indexed as

IronIron OverloadAnimalsDecapodiformesHumansLiverMagnetic Resonance ImagingReproducibility of ResultsIronironliverQSMSQUIDsusceptibility

Identifiers

PMID36408802
PMCPMC9892291
OpenAlexW4309510891

What OpenQuestion holds

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LicenceCC BY-NC
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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.