Evidence map›Paper›PMID 37041393›Full record

ReviewAbdominal radiology (New York)2023

Multiparametric MR assessment of liver fat, iron, and fibrosis: a concise overview of the liver "Triple Screen".

Gavin Low, Craig Ferguson, Stephanie Locas, Wendy Tu, Florin Manolea, Medica Sam, Mitchell P Wilson

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Gavin LowDepartment of Radiology and Diagnostic Imaging, University of Alberta Hospital, WMC 2B2.41 8440-112 ST, Edmonton, AB, T6G2B7, Canada.
Craig FergusonDepartment of Radiology and Diagnostic Imaging, University of Alberta Hospital, WMC 2B2.41 8440-112 ST, Edmonton, AB, T6G2B7, Canada.
Stephanie LocasDepartment of Radiology and Diagnostic Imaging, University of Alberta Hospital, WMC 2B2.41 8440-112 ST, Edmonton, AB, T6G2B7, Canada.
Wendy TuDepartment of Radiology and Diagnostic Imaging, University of Alberta Hospital, WMC 2B2.41 8440-112 ST, Edmonton, AB, T6G2B7, Canada.
Florin ManoleaDepartment of Radiology and Diagnostic Imaging, University of Alberta Hospital, WMC 2B2.41 8440-112 ST, Edmonton, AB, T6G2B7, Canada.
Medica SamDepartment of Radiology and Diagnostic Imaging, University of Alberta Hospital, WMC 2B2.41 8440-112 ST, Edmonton, AB, T6G2B7, Canada.
Mitchell P WilsonDepartment of Radiology and Diagnostic Imaging, University of Alberta Hospital, WMC 2B2.41 8440-112 ST, Edmonton, AB, T6G2B7, Canada. mitch.wilson@ualberta.ca.ORCID http://orcid.org/0000-0002-1630-5138
University of Alberta Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic liver disease (CLD) is a common source of morbidity and mortality worldwide. Non-alcoholic fatty liver disease (NAFLD) serves as a major cause of CLD with a rising annual prevalence. Additionally, iron overload can be both a cause and effect of CLD with a negative synergistic effect when combined with NAFLD. The development of state-of-the-art multiparametric MR solutions has led to a change in the diagnostic paradigm in CLD, shifting from traditional liver biopsy to innovative non-invasive methods for providing accurate and reliable detection and quantification of the disease burden. Novel imaging biomarkers such as MRI-PDFF for fat, R2 and R2* for iron, and liver stiffness for fibrosis provide important information for diagnosis, surveillance, risk stratification, and treatment. In this article, we provide a concise overview of the MR concepts and techniques involved in the detection and quantification of liver fat, iron, and fibrosis including their relative strengths and limitations and discuss a practical abbreviated MR protocol for clinical use that integrates these three MR biomarkers into a single simplified MR assessment. Multiparametric MR techniques provide accurate and reliable non-invasive detection and quantification of liver fat, iron, and fibrosis. These techniques can be combined in a single abbreviated MR "Triple Screen" assessment to offer a more complete metabolic imaging profile of CLD.

Indexed as

Elasticity Imaging TechniquesNon-alcoholic Fatty Liver DiseaseBiomarkersFibrosisHumansIronLiverMagnetic Resonance ImagingBiomarkersIronLiver fat quantificationLiver iron quantificationMagnetic resonance elastography (MRE)Magnetic resonance imaging (MRI)Proton density fat fraction (PDFF)Relaxometry

Identifiers

PMID37041393
OpenAlexW4364356179

What OpenQuestion holds

Textmetadata
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.