Evidence map›Paper›PMID 35989039›Full record

ReviewRadiologic clinics of North America2022

Magnetic Resonance Imaging of Liver Fibrosis, Fat, and Iron.

Christopher L Welle, Michael C Olson, Scott B Reeder, Sudhakar K Venkatesh

Abstract readReview
In one paragraph

Review in Radiologic clinics of North America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  5. Review
  6. Review
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  10. 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

4 authors.

Christopher L WelleDepartment of Radiology, Mayo Clinic, Rochester, MN 55902, USA.
Michael C OlsonDepartment of Radiology, Mayo Clinic, Rochester, MN 55902, USA.
Scott B ReederDepartment of Radiology, University of Wisconsin, Madison, WI 53792, USA.
Sudhakar K VenkateshDepartment of Radiology, Mayo Clinic, Rochester, MN 55902, USA. Electronic address: venkatesh.sudhakar@mayo.edu.

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
Magnetic Resonance ElastographyR37EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2016 to 2025
$4.0M
Magnetic Resonance ElastographyR01EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2003 to 2013
$3.1M
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
Quantitative Magnetic Resonance Imaging PhantomsR41EB025729 · NIBIB · CALIMETRIX, LLC · PI HERNANDO, DIEGO · 2018 to 2018
$239k
NIBIB NIH HHS R01 EB001981NIBIB NIH HHS R01 EB031886NIBIB NIH HHS R37 EB001981NIBIB NIH HHS R41 EB025729NIDDK NIH HHS R01 DK088925NIDDK NIH HHS R01 DK100651
6 · The paper itself

Abstract

Chronic liver disease (CLD) is a large and ever-growing problem in both the US and world health care systems. While histologic analysis through liver biopsy is the gold standard for hepatic parenchymal evaluation, this is not feasible in such a large population of patients or as a way of monitoring change over time. This review discusses MRI-based techniques for assessing hepatic fibrosis, hepatic steatosis, and hepatic iron content, with discussions of both current techniques and future advancements.

Indexed as

Elasticity Imaging TechniquesFatty LiverHumansIronLiverLiver CirrhosisMagnetic Resonance ImagingIronHepatic fibrosisHepatic ironHepatic steatosisMR elastographyProton density fat fractionR2∗

Identifiers

PMID35989039
PMCPMC9547648

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.