Evidence map›Paper›PMID 30236053›Full record

ReviewJournal of applied physiology (Bethesda, Md. : 1985)2019

Contemporary image-based methods for measuring passive mechanical properties of skeletal muscles in vivo.

Lynne E Bilston, Bart Bolsterlee, Antoine Nordez, Shantanu Sinha

Abstract readReview
In one paragraph

Review in Journal of applied physiology (Bethesda, Md. : 1985), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. On Mechanical Behavior and Characterization of Soft Tissues.Biomedical engineering and computational biology · 2024
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. A Roadmap to Reconstructing Muscle Architecture from CT Data.Integrative organismal biology (Oxford, England) · 2022
    Article
  11. 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

4 authors.

Lynne E BilstonNeuroscience Research Australia, Randwick, New South Wales , Australia.ORCID 0000-0001-8250-9019
Bart BolsterleeNeuroscience Research Australia, Randwick, New South Wales , Australia.ORCID 0000-0001-8277-5026
Antoine NordezHealth and Rehabilitation Research Institute, Auckland University of Technology , Auckland , New Zealand.
Shantanu SinhaMuscle Imaging and Modeling Laboratory, Department of Radiology, University of California , San Diego, California.

Funding

Role of the Extracellular Matrix in Age-Associated Strength Loss: Combining Imaging and Biochemistry to create a Multi-Scale Mesh-free ModelR01AG056999 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SINHA, SHANTANU · 2018 to 2022
$3.1M
NIA NIH HHS R01 AG056999
6 · The paper itself

Abstract

Skeletal muscles' primary function in the body is mechanical: to move and stabilize the skeleton. As such, their mechanical behavior is a key aspect of their physiology. Recent developments in medical imaging technology have enabled quantitative studies of passive muscle mechanics, ranging from measurements of intrinsic muscle mechanical properties, such as elasticity and viscosity, to three-dimensional muscle architecture and dynamic muscle deformation and kinematics. In this review we summarize the principles and applications of contemporary imaging methods that have been used to study the passive mechanical behavior of skeletal muscles. Elastography measurements can provide in vivo maps of passive muscle mechanical parameters, and both MRI and ultrasound methods are available (magnetic resonance elastography and ultrasound shear wave elastography, respectively). Both have been shown to differentiate between healthy muscle and muscles affected by a broad range of clinical conditions. Detailed muscle architecture can now be depicted using diffusion tensor imaging, which not only is particularly useful for computational modeling of muscle but also has potential in assessing architectural changes in muscle disorders. More dynamic information about muscle mechanics can be obtained using a range of dynamic MRI methods, which characterize the detailed internal muscle deformations during motion. There are several MRI techniques available (e.g., phase-contrast MRI, displacement-encoded MRI, and "tagged" MRI), each of which can be collected in synchrony with muscle motion and postprocessed to quantify muscle deformation. Together, these modern imaging techniques can characterize muscle motion, deformation, mechanical properties, and architecture, providing complementary insights into skeletal muscle function.

Indexed as

AnimalsBiomechanical PhenomenaElasticityHumansMagnetic Resonance ImagingMuscle, SkeletalStress, MechanicalViscositybiomechanicsdiffusing tensor imagingelastographymagnetic resonance imagingultrasound

Identifiers

PMID30236053
PMCPMC6589813

What OpenQuestion holds

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Registered trials

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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.