Evidence map›Paper›PMID 32785766›Full record

ArticleEuropean radiology2021

Complex confounder-corrected R2* mapping for liver iron quantification with MRI.

Diego Hernando, Rachel J Cook, Naila Qazi, Colin A Longhurst, Carol A Diamond, Scott B Reeder

Open access · greenAbstract read
In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
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  14. [Metabolic study of iron deposition based on magnetic resonance in patients with nonalcoholic fatty liver disease].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2023
    Article
  15. Article
  16. Confounder-corrected TMagnetic resonance in medicine · 2023
    Article
  17. Review
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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

6 authors at 1 institution in 1 country.

Diego HernandoDepartment of Radiology, University of Wisconsin-Madison, Wisconsin Institutes for Medical Research, Rm 2474, 1111 Highland Ave, Madison, WI, 53705, USA. dhernando@wisc.edu.ORCID http://orcid.org/0000-0002-0016-0317
Rachel J CookDepartment of Medicine, University of Wisconsin-Madison, Madison, WI, USA.
Naila QaziDepartment of Radiology, University of Wisconsin-Madison, Wisconsin Institutes for Medical Research, Rm 2474, 1111 Highland Ave, Madison, WI, 53705, USA.
Colin A LonghurstDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA.
Carol A DiamondDepartment of Pediatrics, University of Wisconsin-Madison, Madison, WI, USA.
Scott B ReederDepartment of Radiology, University of Wisconsin-Madison, Wisconsin Institutes for Medical Research, Rm 2474, 1111 Highland Ave, Madison, WI, 53705, USA.
University of Wisconsin–Madison · US

Funding

Confounder-Corrected Quantitative MRI Biomarkers of HepaticR01DK100651 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2014 to 2017
$2.7M
MRI-based Quantitative Susceptibility Mapping of Hepatic Iron OverloadR01DK117354 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI HERNANDO, DIEGO · 2018 to 2021
$2.3M
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
NIDDK NIH HHS K24 DK102595NIDDK NIH HHS R01 DK083380NIDDK NIH HHS R01 DK100651NIDDK NIH HHS R01 DK117354Wisconsin Alumni Research Foundation WARF Accelerator Program
6 · The paper itself

Abstract

objectivesMRI-based R2* mapping may enable reliable and rapid quantification of liver iron concentration (LIC). However, the performance and reproducibility of R2* across acquisition protocols remain unknown. Therefore, the objective of this work was to evaluate the performance and reproducibility of complex confounder-corrected R2* across acquisition protocols, at both 1.5 T and 3.0 T.

methodsIn this prospective study, 40 patients with suspected iron overload and 10 healthy controls were recruited with IRB approval and informed written consent and imaged at both 1.5 T and 3.0 T. For each subject, acquisitions included four different R2* mapping protocols at each field strength, and an FDA-approved R2-based method performed at 1.5 T as a reference for LIC. R2* maps were reconstructed from the complex data acquisitions including correction for noise effects and fat signal. For each subject, field strength, and R2* acquisition, R2* measurements were performed in each of the nine liver Couinaud segments and the spleen. R2* measurements were compared across protocols and field strength (1.5 T and 3.0 T), and R2* was calibrated to LIC for each acquisition and field strength.

resultsR2* demonstrated high reproducibility across acquisition protocols (p > 0.05 for 96/108 pairwise comparisons across 2 field strengths and 9 liver segments, ICC > 0.91 for each field strength/segment combination) and high predictive ability (AUC > 0.95 for four clinically relevant LIC thresholds). Calibration of R2* to LIC was LIC = - 0.04 + 2.62 × 10

conclusionsComplex confounder-corrected R2* mapping enables LIC quantification with high reproducibility across acquisition protocols, at both 1.5 T and 3.0 T. KEY POINTS: • Confounder-corrected R2* of the liver provides reproducible R2* across acquisition protocols, including different spatial resolutions, echo times, and slice orientations, at both 1.5 T and 3.0 T. • For all acquisition protocols, high correlation with R2-based liver iron concentration (LIC) quantification was observed. • The calibration between confounder-corrected R2* and LIC, at both 1.5 T and 3.0 T, is determined in this study.

Indexed as

IronIron OverloadHumansLiverMagnetic Resonance ImagingProspective StudiesReproducibility of ResultsIronBiomarkersIron overloadLiverMagnetic resonance imaging

Identifiers

PMID32785766
PMCPMC7755713
OpenAlexW3048914452

What OpenQuestion holds

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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.