Literature DB >> 25608011

Use of silicone materials to simulate tissue biomechanics as related to deep tissue injury.

Jessica L Sparks1, Nicholas A Vavalle, Krysten E Kasting, Benjamin Long, Martin L Tanaka, Phillip A Sanger, Karen Schnell, Teresa A Conner-Kerr.   

Abstract

OBJECTIVE: Deep tissue injury (DTI) is caused by prolonged mechanical loading that disrupts blood flow and metabolic clearance. A patient simulator that mimics the biomechanical aspects of DTI initiation, stress and strain in deep muscle tissue, would be potentially useful as a training tool for pressure-relief techniques and testing platform for pressure-mitigating products. As a step toward this goal, this study evaluates the ability of silicone materials to mimic the distribution of stress in muscle tissue under concentrated loading.
METHODS: To quantify the mechanical properties of candidate silicone materials, unconfined compression experiments were conducted on 3 silicone formulations (Ecoflex 0030, Ecoflex 0010, and Dragon Skin; Smooth-On, Inc, Easton, Pennsylvania). Results were fit to an Ogden hyperelastic material model, and the resulting shear moduli (G) were compared with published values for biological tissues. Indentation tests were then conducted on Ecoflex 0030 and porcine muscle to investigate silicone's ability to mimic the nonuniform stress distribution muscle demonstrates under concentrated loading. Finite element models were created to quantify stresses throughout tissue depth. Finally, a preliminary patient simulator prototype was constructed, and both deep and superficial "tissue" pressures were recorded to examine stress distribution.
RESULTS: Indentation tests showed similar stress distribution trends in muscle and Ecoflex 0030, but stress magnitudes were higher in Ecoflex 0030 than in porcine muscle. All 3 silicone formulations demonstrated shear moduli within the range of published values for biological tissue. For the experimental conditions reported in this work, Ecoflex 0030 exhibited greater stiffness than porcine muscle.
CONCLUSION: Indentation tests and the prototype patient simulator trial demonstrated similar trends with high pressures closest to the bony prominence with decreasing magnitude toward the interfacial surface. Qualitatively, silicone mimicked the phenomenon observed in muscle of nonuniform stress under concentrated loading. Although shear moduli were within biological ranges, stress and stiffness values exceeded those of porcine muscle. This research represents a first step toward development of a preclinical model simulating the biomechanical conditions of stress and strain in deep muscle, since local biomechanical factors are acknowledged to play a role in DTI initiation. Future research is needed to refine the capacity of preclinical models to simulate biomechanical parameters in successive tissue layers of muscle, fat, dermis, and epidermis typically intervening between bone and support surfaces, for body regions at risk for DTI.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25608011     DOI: 10.1097/01.ASW.0000460127.47415.6e

Source DB:  PubMed          Journal:  Adv Skin Wound Care        ISSN: 1527-7941            Impact factor:   2.347


  15 in total

1.  Soft tissue deformation modelling through neural dynamics-based reaction-diffusion mechanics.

Authors:  Jinao Zhang; Yongmin Zhong; Chengfan Gu
Journal:  Med Biol Eng Comput       Date:  2018-05-30       Impact factor: 2.602

2.  A blister-like soft nano-textured thermo-pneumatic actuator as an artificial muscle.

Authors:  Seongpil An; Dong Jin Kang; Alexander L Yarin
Journal:  Nanoscale       Date:  2018-09-13       Impact factor: 7.790

3.  Development of a Low-cost, High-fidelity Skin Model for Suturing.

Authors:  Taylor P Williams; Clifford L Snyder; Kevin J Hancock; Nicholas J Iglesias; Christian Sommerhalder; Shannon C DeLao; Aisen C Chacin; Alexander Perez
Journal:  J Surg Res       Date:  2020-08-15       Impact factor: 2.192

4.  Development and evaluation of ligament phantoms targeted for shear wave tensiometry.

Authors:  Lesley R Arant; Joshua D Roth
Journal:  J Mech Behav Biomed Mater       Date:  2021-11-24

5.  3D Printing Low-Stiffness Silicone Within a Curable Support Matrix.

Authors:  Taylor E Greenwood; Serah E Hatch; Mark B Colton; Scott L Thomson
Journal:  Addit Manuf       Date:  2020-10-31

6.  Design Optimisation of a Magnetic Field Based Soft Tactile Sensor.

Authors:  Gregory de Boer; Nicholas Raske; Hongbo Wang; Junwai Kow; Ali Alazmani; Mazdak Ghajari; Peter Culmer; Robert Hewson
Journal:  Sensors (Basel)       Date:  2017-11-03       Impact factor: 3.576

7.  Random Weighting, Strong Tracking, and Unscented Kalman Filter for Soft Tissue Characterization.

Authors:  Jaehyun Shin; Yongmin Zhong; Denny Oetomo; Chengfan Gu
Journal:  Sensors (Basel)       Date:  2018-05-21       Impact factor: 3.576

8.  Fe₃O₄⁻Silicone Mixture as Flexible Actuator.

Authors:  Kahye Song; Youngsu Cha
Journal:  Materials (Basel)       Date:  2018-05-08       Impact factor: 3.623

9.  How to Build a Patient-Specific Hybrid Simulator for Orthopaedic Open Surgery: Benefits and Limits of Mixed-Reality Using the Microsoft HoloLens.

Authors:  Sara Condino; Giuseppe Turini; Paolo D Parchi; Rosanna M Viglialoro; Nicola Piolanti; Marco Gesi; Mauro Ferrari; Vincenzo Ferrari
Journal:  J Healthc Eng       Date:  2018-11-01       Impact factor: 2.682

10.  3D-Printed Ophthalmic-Retrobulbar-Anesthesia Simulator: Mimicking Anatomical Structures and Providing Tactile Sensations.

Authors:  Yong Je Choi; Yoon Ha Joo; Baek-Lok Oh; Jung Chan Lee
Journal:  IEEE J Transl Eng Health Med       Date:  2021-07-26       Impact factor: 3.316

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.