Evidence map›Paper›PMID 37083977›Full record

ReviewSkeletal radiology2023

Clinical applications of skeletal muscle diffusion tensor imaging.

Teodoro Martín-Noguerol, Rafael Barousse, Daniel E Wessell, Ignacio Rossi, Antonio Luna

Abstract readReview
PubMed Publisher
In one paragraph

Review in Skeletal radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.2field-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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Compositional and Functional MRI of Skeletal Muscle: A Review.Journal of magnetic resonance imaging : JMRI · 2024
    Review
  12. Article
  13. 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

5 authors at 2 institutions in 2 countries.

Teodoro Martín-NoguerolMRI Unit, Radiology Department, HT Médica, Jaén, Spain. t.martin.f@htime.org.ORCID http://orcid.org/0000-0001-7200-5028
Rafael BarousseCentro Rossi, Buenos Aires, Argentina.
Daniel E WessellMayo Clinic Department of Radiology, Jacksonville, FL, USA.
Ignacio RossiCentro Rossi, Buenos Aires, Argentina.
Antonio LunaMRI Unit, Radiology Department, HT Médica, Jaén, Spain.
Complejo Hospitalario de Jaén · ESJacksonville College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffusion tensor imaging (DTI) may allow the determination of new threshold values, based on water anisotropy, to differentiate between healthy muscle and various pathological processes. Additionally, it may quantify treatment monitoring or training effects. Most current studies have evaluated the potential of DTI of skeletal muscle to assess sports-related injuries or therapy, and training monitoring. Another critical area of application of this technique is the characterization and monitoring of primary and secondary myopathies. In this manuscript, we review the application of DTI in the evaluation of skeletal muscle in these and other novel clinical scenarios, with emphasis on the use of quantitative imaging-derived biomarkers. Finally, the main limitations of the introduction of DTI in the clinical setting and potential areas of future use are discussed.

Indexed as

Diffusion Tensor ImagingMuscle, SkeletalAnisotropyHumansWaterWaterDiffusion tensor imaging: Skeletal muscleMyopathiesMyositisSports-related injuries

Identifiers

PMID37083977
OpenAlexW4366603109

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.