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Variability of tissue mechanical response in Sus Domesticus porcine models from in vivo to ex vivo conditions

BACKGROUND: Healthcare simulators have been demonstrated to be a valuable resource for training several technical and nontechnical skills. A gap in the fidelity of tissues has been acknowledged as a barrier to application for current simulators; especially for interventional procedures. Inaccurate o...

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Autores principales: Malik, Faizan A., Drahos, Bradley A., Safdari, Amer M., Mazzeo, Mark V., Norfleet, Jack E., Sweet, Robert M., Kowalewski, Timothy M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10171650/
https://www.ncbi.nlm.nih.gov/pubmed/37163486
http://dx.doi.org/10.1371/journal.pone.0268608
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author Malik, Faizan A.
Drahos, Bradley A.
Safdari, Amer M.
Mazzeo, Mark V.
Norfleet, Jack E.
Sweet, Robert M.
Kowalewski, Timothy M.
author_facet Malik, Faizan A.
Drahos, Bradley A.
Safdari, Amer M.
Mazzeo, Mark V.
Norfleet, Jack E.
Sweet, Robert M.
Kowalewski, Timothy M.
author_sort Malik, Faizan A.
collection PubMed
description BACKGROUND: Healthcare simulators have been demonstrated to be a valuable resource for training several technical and nontechnical skills. A gap in the fidelity of tissues has been acknowledged as a barrier to application for current simulators; especially for interventional procedures. Inaccurate or unrealistic mechanical response of a simulated tissue to a given surgical tool motion may result in negative training transfer and/or prevents the “suspension of disbelief” necessary for a trainee to engage in the activity. Thus, where it is relevant to training outcomes, there should be an effort to create healthcare simulators with simulated tissue mechanical responses that match or represent those of biological tissues. Historically, this data is most often gathered from preserved (post mortem) tissue; however, there is a concern that the mechanical properties of preserved tissue, that lacks blood flow, may lack adequate accuracy to provide the necessary training efficacy of simulators. METHODS AND FINDINGS: This work explores the effect of the “state” of the tissue testing status on liver and peritoneal tissue by using a customized handheld grasper to measure the mechanical responses of representative porcine (Sus domesticus) tissues in n = 5 animals across five test conditions: in vivo, post mortem (in-situ), ex vivo (immediately removed from fresh porcine cadaver), post-refrigeration, and post-freeze-thaw cycle spanning up to 72 hours after death. No statistically significant difference was observed in the mechanical responses due to grasping between in vivo and post-freeze conditions for porcine liver and peritoneum tissue samples (p = 0.05 for derived stiffness at grasping force values F = 5N and 6.5N). Furthermore, variance between in vivo and post-freeze conditions within each animal, was comparable to the variance of the in vivo condition between animals. CONCLUSIONS: Results of this study further validate the use of preserved tissue in the design of medical simulators via observing tissue mechanical responses of post-freeze tissue comparable to in vivo tissue. Therefore, the use of thawed preserved tissue for the further study and emulation of mechanical perturbation of the liver and peritoneum can be considered. Further work in this area should investigate these trends further, particularly in regard to other tissues and the potential effects varying preservation methods may yield.
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spelling pubmed-101716502023-05-11 Variability of tissue mechanical response in Sus Domesticus porcine models from in vivo to ex vivo conditions Malik, Faizan A. Drahos, Bradley A. Safdari, Amer M. Mazzeo, Mark V. Norfleet, Jack E. Sweet, Robert M. Kowalewski, Timothy M. PLoS One Research Article BACKGROUND: Healthcare simulators have been demonstrated to be a valuable resource for training several technical and nontechnical skills. A gap in the fidelity of tissues has been acknowledged as a barrier to application for current simulators; especially for interventional procedures. Inaccurate or unrealistic mechanical response of a simulated tissue to a given surgical tool motion may result in negative training transfer and/or prevents the “suspension of disbelief” necessary for a trainee to engage in the activity. Thus, where it is relevant to training outcomes, there should be an effort to create healthcare simulators with simulated tissue mechanical responses that match or represent those of biological tissues. Historically, this data is most often gathered from preserved (post mortem) tissue; however, there is a concern that the mechanical properties of preserved tissue, that lacks blood flow, may lack adequate accuracy to provide the necessary training efficacy of simulators. METHODS AND FINDINGS: This work explores the effect of the “state” of the tissue testing status on liver and peritoneal tissue by using a customized handheld grasper to measure the mechanical responses of representative porcine (Sus domesticus) tissues in n = 5 animals across five test conditions: in vivo, post mortem (in-situ), ex vivo (immediately removed from fresh porcine cadaver), post-refrigeration, and post-freeze-thaw cycle spanning up to 72 hours after death. No statistically significant difference was observed in the mechanical responses due to grasping between in vivo and post-freeze conditions for porcine liver and peritoneum tissue samples (p = 0.05 for derived stiffness at grasping force values F = 5N and 6.5N). Furthermore, variance between in vivo and post-freeze conditions within each animal, was comparable to the variance of the in vivo condition between animals. CONCLUSIONS: Results of this study further validate the use of preserved tissue in the design of medical simulators via observing tissue mechanical responses of post-freeze tissue comparable to in vivo tissue. Therefore, the use of thawed preserved tissue for the further study and emulation of mechanical perturbation of the liver and peritoneum can be considered. Further work in this area should investigate these trends further, particularly in regard to other tissues and the potential effects varying preservation methods may yield. Public Library of Science 2023-05-10 /pmc/articles/PMC10171650/ /pubmed/37163486 http://dx.doi.org/10.1371/journal.pone.0268608 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Malik, Faizan A.
Drahos, Bradley A.
Safdari, Amer M.
Mazzeo, Mark V.
Norfleet, Jack E.
Sweet, Robert M.
Kowalewski, Timothy M.
Variability of tissue mechanical response in Sus Domesticus porcine models from in vivo to ex vivo conditions
title Variability of tissue mechanical response in Sus Domesticus porcine models from in vivo to ex vivo conditions
title_full Variability of tissue mechanical response in Sus Domesticus porcine models from in vivo to ex vivo conditions
title_fullStr Variability of tissue mechanical response in Sus Domesticus porcine models from in vivo to ex vivo conditions
title_full_unstemmed Variability of tissue mechanical response in Sus Domesticus porcine models from in vivo to ex vivo conditions
title_short Variability of tissue mechanical response in Sus Domesticus porcine models from in vivo to ex vivo conditions
title_sort variability of tissue mechanical response in sus domesticus porcine models from in vivo to ex vivo conditions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10171650/
https://www.ncbi.nlm.nih.gov/pubmed/37163486
http://dx.doi.org/10.1371/journal.pone.0268608
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