Evidence map›Paper›PMID 35022806›Full record

ReviewAbdominal radiology (New York)2022

Liver fibrosis quantification.

Sudhakar K Venkatesh, Michael S Torbenson

Abstract readReview
In one paragraph

Review in Abdominal radiology (New York), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Hepatoprotective Potential of Indian Medicinal Plants.Combinatorial chemistry & high throughput screening · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Article
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  13. Review
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  17. Review
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  19. MR Elastography: Practical Questions, From theAJR. American journal of roentgenology · 2024
    Review
  20. 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

2 authors.

Sudhakar K VenkateshAbdominal Imaging Division, Department of Radiology, Mayo Clinic, 200, First Street SW, Rochester, MN, 55905, USA. venkatesh.sudhakar@mayo.edu.ORCID 0000-0002-7514-1030
Michael S TorbensonAnatomic Pathology Division, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.

Funding

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
NIBIB NIH HHS R01 EB001981NIBIB NIH HHS R37 EB001981
6 · The paper itself

Abstract

Liver fibrosis (LF) is the wound healing response to chronic liver injury. LF is the endpoint of chronic liver disease (CLD) regardless of etiology and the single most important determinant of long-term liver-related clinical outcomes. Quantification of LF is important for staging, to evaluate response to treatment and to predict outcomes. LF is traditionally staged by liver biopsy. However, liver biopsy is invasive and suffers from sampling errors when biopsy size is inadequate; therefore, non-invasive tests (NITs) have found important roles in clinical care. NITs include simple laboratory-based serum tests, panels of serum tests, and imaging biomarkers. NITs are validated against the liver biopsy and will be used in the future for evaluation of nearly all CLDs with invasive liver biopsy reserved for some cases. Both serum tests and some imaging biomarkers such as elastography are currently used clinically as surrogate markers for LF. Several other imaging biomarkers are still considered research and awaiting clinical application in the future. As the evaluation of imaging biomarkers will likely become the norm in the future, understanding pathogenesis of LF is important. Knowledge of properties measured by imaging biomarkers and its correlation with LF is important to understand the application of NITs by abdominal radiologists. In this review, we present a brief overview of pathogenesis of LF, spatiotemporal evolution of LF in different CLD, and severity assessment with liver biopsy. This will be followed by a brief discussion on properties measured by imaging biomarkers and their relationship to the LF.

Indexed as

Elasticity Imaging TechniquesLiver DiseasesBiomarkersBiopsyHumansLiverLiver CirrhosisBiomarkersDiffusionElastographyFibrosis burdenHepatic fibrosisHepatobiliary uptakeImaging biomarkersNon-invasive testsSurface nodularitySusceptibilityT1-mappingVolumetry

Identifiers

PMID35022806
PMCPMC9538706

What OpenQuestion holds

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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.