Evidence map›Paper›PMID 27478562›Full record

ArticleEuropean journal of translational myology2016

Quantitative Computed Tomography and Image Analysis for Advanced Muscle Assessment.

Kyle Joseph Edmunds, Magnus K Gíslason, Iris D Arnadottir, Andrea Marcante, Francesco Piccione, Paolo Gargiulo

Abstract read
In one paragraph

Article in European journal of translational myology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. New indexes for myofibril linearity in muscle image analysis.European journal of translational myology · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. 2019 Ejtm Special on Muscle Fascia.European journal of translational myology · 2019
    Article
  19. 2019Spring PaduaMuscleDays: Translational Myology and Mobility Medicine.European journal of translational myology · 2019
    Article
  20. Dermal papillae flattening of thigh skin inEuropean journal of translational myology · 2018
    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

6 authors.

Kyle Joseph EdmundsInstitute for Biomedical and Neural Engineering, Háskólinn í Reykjavík , Reykjavík, Iceland.
Magnus K GíslasonInstitute for Biomedical and Neural Engineering, Háskólinn í Reykjavík , Reykjavík, Iceland.
Iris D ArnadottirInstitute for Biomedical and Neural Engineering, Háskólinn í Reykjavík , Reykjavík, Iceland.
Andrea MarcanteIRCCS Fondazione Ospedale San Camillo , Venezia, Italy.
Francesco PiccioneIRCCS Fondazione Ospedale San Camillo , Venezia, Italy.
Paolo GargiuloInstitute for Biomedical and Neural Engineering, Háskólinn í Reykjavík, Reykjavík, Iceland; Landspítali, Reykjavík, Iceland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical imaging is of particular interest in the field of translational myology, as extant literature describes the utilization of a wide variety of techniques to non-invasively recapitulate and quantity various internal and external tissue morphologies. In the clinical context, medical imaging remains a vital tool for diagnostics and investigative assessment. This review outlines the results from several investigations on the use of computed tomography (CT) and image analysis techniques to assess muscle conditions and degenerative process due to aging or pathological conditions. Herein, we detail the acquisition of spiral CT images and the use of advanced image analysis tools to characterize muscles in 2D and 3D. Results from these studies recapitulate changes in tissue composition within muscles, as visualized by the association of tissue types to specified Hounsfield Unit (HU) values for fat, loose connective tissue or atrophic muscle, and normal muscle, including fascia and tendon. We show how results from these analyses can be presented as both average HU values and compositions with respect to total muscle volumes, demonstrating the reliability of these tools to monitor, assess and characterize muscle degeneration.

Indexed as

advanced muscle assessmentFESimage analysisQuantitative Computed Tomography

Identifiers

PMID27478562
PMCPMC4942705

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.