A method for a mechanical characterisation of human gluteal tissue

Then, Christophe; Menger, J.; Benderoth, G.; Alizadeh, Mansour; Vogl, Thomas J.; Hübner, Frank; Silber, Gerhard

doi:10.3233/thc-2007-15601

Cited by 36 publications

(10 citation statements)

References 22 publications

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“…During full-text review, study citations were examined, and 20 articles were identified and included. A total of 186 papers 29–31,33–215 were included for data extraction.…”

Section: Resultsmentioning

confidence: 99%

“…Of the 186 included papers, 8 authors were the first author of more than 1 paper 73,74,79,80,84,85,87–89,117–121,133,134,185–187,211–215 . Although 4 papers utilized the same results from the same study, different biomechanical properties were reported 133,134,185,187 . A paper from Zwirner et al 212 used data from 4 previous studies 211,213–215 to identify relationships with age, sex, location, and post-mortem intervals.…”

Section: Resultsmentioning

confidence: 99%

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Applied use of biomechanical measurements from human tissues for the development of medical skills trainers: a scoping review

Kriener,

Whiting,

Storr

et al. 2023

JBI Evidence Synthesis

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Objective: The objective of this review was to identify quantitative biomechanical measurements of human tissues, the methods for obtaining these measurements, and the primary motivations for conducting biomechanical research. Introduction: Medical skills trainers are a safe and useful tool for clinicians to use when learning or practicing medical procedures. The haptic fidelity of these devices is often poor, which may be because the synthetic materials chosen for these devices do not have the same mechanical properties as human tissues. This review investigates a heterogenous body of literature to identify which biomechanical properties are available for human tissues, the methods for obtaining these values, and the primary motivations behind conducting biomechanical tests. Inclusion criteria: Studies containing quantitative measurements of the biomechanical properties of human tissues were included. Studies that primarily focused on dynamic and fluid mechanical properties were excluded. Additionally, studies only containing animal, in silico, or synthetic materials were excluded from this review. Methods: This scoping review followed the JBI methodology for scoping reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews (PRISMA-ScR). Sources of evidence were extracted from CINAHL (EBSCO), IEEE Xplore, MEDLINE (PubMed), Scopus, and engineering conference proceedings. The search was limited to the English language. Two independent reviewers screened titles and abstracts as well as full-text reviews. Any conflicts that arose during screening and full-text review were mediated by a third reviewer. Data extraction was conducted by 2 independent reviewers and discrepancies were mediated through discussion. The results are presented in tabular, figure, and narrative formats. Results: Data were extracted from a total of 186 full-text publications. All of the studies, except for 1, were experimental. Included studies came from 33 different countries, with the majority of the studies coming from the United States. Human tissues samples were ex vivo, and the most commonly studied tissue type was musculoskeletal. In this study, nearly 200 unique biomechanical values were reported, and the most commonly reported value was Young’s (elastic) modulus. The most common type of mechanical test performed was tensile testing, and the most common reason for testing human tissues was to characterize biomechanical properties. Although the number of published studies on biomechanical properties of human tissues has increased over the past 20 years, there are many gaps in the literature. Of the 186 included studies, only 7 used human tissues for the design or validation of medical skills training devices. Furthermore, in studies where biomechanical values for human tissues have been obtained, a lack of standardization in engineering assumptions, methodologies, and tissue preparation may implicate the usefulness of these values. Conclusions: This review is the first of its kind to give a broad overview of the biomechanics of human tissues in the published literature. With respect to high-fidelity haptics, there is a large gap in the published literature. Even in instances where biomechanical values are available, comparing or using these values is difficult. This is likely due to the lack of standardization in engineering assumptions, testing methodology, and reporting of the results. It is recommended that journals and/or experts in engineering fields conduct further research to investigate the feasibility of implementing reporting standards. Review Registration: Open Science Framework osf.io/fgb34

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“…During full-text review, study citations were examined, and 20 articles were identified and included. A total of 186 papers 29–31,33–215 were included for data extraction.…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Applied use of biomechanical measurements from human tissues for the development of medical skills trainers: a scoping review

Kriener,

Whiting,

Storr

et al. 2023

JBI Evidence Synthesis

View full text Add to dashboard Cite

show abstract

“…Then et al published force-displacement curves for subcutaneous and muscle tissues in the gluteal region acquired via simultaneous MRI and indentation loading 32) . Direct numerical comparison is difficult, but at least as far as can be visually confirmed, their force-displacement curves largely resemble our stress-strain curves.…”

Section: Discussionmentioning

confidence: 99%

“…However, they did not calculate them separately for subcutaneous and muscle tissues 31) . Elsewhere, Then et al derived separate force-displacement curves for the subcutaneous tissue and muscle layers of human gluteal tissue and calculated respective shear moduli based on data obtained using a magnetic resonance imaging (MRI) device with an MRI-compatible loading device 32) . However, their curves were created based on only seven data points from a single participant.…”

Section: Introductionmentioning

confidence: 99%

“…Notably, tissue-specific patterns of non-linear behavior were evident in their force-displacement curves, and the extent to which the subcutaneous layer was displaced was dependent on the degree of compressive force applied, yet also distinct from muscle's behavior under the same loads. Nevertheless, the authors' investigation paid little attention to hardness changes in response to incremental loading 32) .…”

Section: Introductionmentioning

confidence: 99%

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Young’s moduli of subcutaneous tissues and muscles under different loads at the gluteal region calculated using ultrasonography

et al. 2022

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Young's modulus distributions for subcutaneous and muscle tissues in a large sample of healthy individuals, based on ultrasonography and compression testing, remains uninvestigated till date. This study aimed to separately estimate the hardness of subcutaneous tissues and muscles in the human gluteal region under a range of loads in terms of mean Young's moduli and associated distributions. [Participants and Methods] Data of 21 males aged 20-22 years were acquired using synchronous compression testing and ultrasonography. Stress-strain curves comprised the loads applied (stress) were plotted against ultrasonographic changes in subcutaneous/muscle tissue thickness (strain). Young's moduli were calculated as slopes of approximation curves fitted to highly linear regions of the stress-strain curves. [Results] Young's moduli (mean ± standard deviation) for gluteal subcutaneous and muscle tissues were estimated as: 26.1 ± 19.0 kPa, 1-N load; 2,199.1 ± 1,354.8 kPa, and 62.2 ± 10.3 kPa, 440.4 ± 80.0 kPa, respectively. No correlation between any pair of these measures reached statistical significance. [Conclusion] Young's moduli were successfully measured for subcutaneous and muscle tissues in a large participant sample using ultrasonography and compression testing. Our results may serve as reference data when assessing tissue hardness by palpation.

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It Takes Two to Tango: Controlling Human Mesenchymal Stromal Cell Response via Substrate Stiffness and Surface Topography

Ribeiro,

Watigny,

Bayon

et al. 2023

Advanced NanoBiomed Research

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Cells sense extracellular matrix‐induced biophysical signals, which are transduced into intracellular signaling cascades, and trigger a series of cell responses, including adhesion, migration, and lineage commitment. Traditionally, in in vitro context, monofactorial approaches are employed to control cell fate, despite the fact that in vivo cells are exposed simultaneously to a diverse range of signals. Herein, an overview of key mechanotransduction pathways is first provided. Conventional single‐factor and contemporary multifactorial methodologies, based on substrate rigidity and surface topography, are then reviewed to recapitulate in vitro the in vivo niche, in an attempt to elucidate the underlying mechanisms involved in human mesenchymal stromal cell‐material interactions.

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A method for a mechanical characterisation of human gluteal tissue

Cited by 36 publications

References 22 publications

Applied use of biomechanical measurements from human tissues for the development of medical skills trainers: a scoping review

Applied use of biomechanical measurements from human tissues for the development of medical skills trainers: a scoping review

Young’s moduli of subcutaneous tissues and muscles under different loads at the gluteal region calculated using ultrasonography

It Takes Two to Tango: Controlling Human Mesenchymal Stromal Cell Response via Substrate Stiffness and Surface Topography

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