Development and evaluation of a new methodology for the fast generation of patient-specific Finite Element models of the buttock for sitting-acquired deep tissue injury prevention
The occurrence and management of Pressure Ulcers remain a major issue for patients with reduced mobility and neurosensory loss despite significant improvement in the prevention methods. These injuries are caused by biological cascades leading from a given mechanical loading state in tissues to irrev...
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description | The occurrence and management of Pressure Ulcers remain a major issue for patients with reduced mobility and neurosensory loss despite significant improvement in the prevention methods. These injuries are caused by biological cascades leading from a given mechanical loading state in tissues to irreversible tissue damage. Estimating the internal mechanical conditions within loaded soft tissues has the potential of improving the management and prevention of PU. Several Finite Element models of the buttock have therefore been proposed based on either MRI or CT-Scan data. However, because of the limited availability of MRI or CT-Scan systems and of the long segmentation time, all studies in the literature include the data of only one individual. Yet the inter-individual variability can’t be overlooked when dealing with patient specific estimation of internal tissue loading. As an alternative, this contribution focuses on the combined use of low-dose biplanar X-ray images, B-mode ultrasound images and optical scanner acquisitions in a non-weight-bearing sitting posture for the fast generation of patient-specific FE models of the buttock. Model calibration was performed based on Ischial Tuberosity sagging. Model evaluation was performed by comparing the simulated contact pressure with experimental observations on a population of 6 healthy subjects. Analysis of the models confirmed the high inter-individual variability of soft tissue response (maximum Green Lagrange shear strains of 213 ± 101% in the muscle). This methodology opens the way for investigating inter-individual factors influencing the soft tissue response during sitting and for providing tools to assess PU risk. |
doi_str_mv | 10.1016/j.jbiomech.2018.08.001 |
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These injuries are caused by biological cascades leading from a given mechanical loading state in tissues to irreversible tissue damage. Estimating the internal mechanical conditions within loaded soft tissues has the potential of improving the management and prevention of PU. Several Finite Element models of the buttock have therefore been proposed based on either MRI or CT-Scan data. However, because of the limited availability of MRI or CT-Scan systems and of the long segmentation time, all studies in the literature include the data of only one individual. Yet the inter-individual variability can’t be overlooked when dealing with patient specific estimation of internal tissue loading. As an alternative, this contribution focuses on the combined use of low-dose biplanar X-ray images, B-mode ultrasound images and optical scanner acquisitions in a non-weight-bearing sitting posture for the fast generation of patient-specific FE models of the buttock. Model calibration was performed based on Ischial Tuberosity sagging. Model evaluation was performed by comparing the simulated contact pressure with experimental observations on a population of 6 healthy subjects. Analysis of the models confirmed the high inter-individual variability of soft tissue response (maximum Green Lagrange shear strains of 213 ± 101% in the muscle). This methodology opens the way for investigating inter-individual factors influencing the soft tissue response during sitting and for providing tools to assess PU risk.</description><identifier>ISSN: 0021-9290</identifier><identifier>EISSN: 1873-2380</identifier><identifier>DOI: 10.1016/j.jbiomech.2018.08.001</identifier><identifier>PMID: 30201252</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>Biomechanics ; Buttock ; Buttocks - pathology ; Cascades ; Computed tomography ; Computer simulation ; Contact pressure ; Design ; Engineering Sciences ; FEM ; Finite Element Analysis ; Finite element method ; Humans ; Image processing ; Image segmentation ; Injury prevention ; Magnetic resonance imaging ; Mathematical analysis ; Mathematical models ; Mechanical loading ; Mechanical properties ; Mechanics ; Medical imaging ; Muscles ; Patient-Specific Modeling ; Posture ; Pressure ; Pressure Ulcer - pathology ; Pressure Ulcer - prevention & control ; Pressure ulcers ; Prevention ; Shear strain ; Sitting Position ; Soft tissues ; Standard deviation ; Subject specific ; Ulcer ; Ulcers ; Ultrasonic imaging ; Ultrasound ; Weight</subject><ispartof>Journal of biomechanics, 2018-10, Vol.79, p.173-180</ispartof><rights>2018</rights><rights>Copyright © 2018. Published by Elsevier Ltd.</rights><rights>Copyright Elsevier Limited Oct 5, 2018</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c478t-6059b8ecf06a31a3676b3830fc900a3fba8d29b6fe0be3f3f7e1ffda5edff1913</citedby><cites>FETCH-LOGICAL-c478t-6059b8ecf06a31a3676b3830fc900a3fba8d29b6fe0be3f3f7e1ffda5edff1913</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2188560719?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,778,782,883,3539,27911,27912,45982,64370,64372,64374,72224</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30201252$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-02305719$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Macron, Aurélien</creatorcontrib><creatorcontrib>Pillet, Hélène</creatorcontrib><creatorcontrib>Doridam, Jennifer</creatorcontrib><creatorcontrib>Verney, Alexandre</creatorcontrib><creatorcontrib>Rohan, Pierre-Yves</creatorcontrib><title>Development and evaluation of a new methodology for the fast generation of patient-specific Finite Element models of the buttock for sitting-acquired deep tissue injury prevention</title><title>Journal of biomechanics</title><addtitle>J Biomech</addtitle><description>The occurrence and management of Pressure Ulcers remain a major issue for patients with reduced mobility and neurosensory loss despite significant improvement in the prevention methods. These injuries are caused by biological cascades leading from a given mechanical loading state in tissues to irreversible tissue damage. Estimating the internal mechanical conditions within loaded soft tissues has the potential of improving the management and prevention of PU. Several Finite Element models of the buttock have therefore been proposed based on either MRI or CT-Scan data. However, because of the limited availability of MRI or CT-Scan systems and of the long segmentation time, all studies in the literature include the data of only one individual. Yet the inter-individual variability can’t be overlooked when dealing with patient specific estimation of internal tissue loading. As an alternative, this contribution focuses on the combined use of low-dose biplanar X-ray images, B-mode ultrasound images and optical scanner acquisitions in a non-weight-bearing sitting posture for the fast generation of patient-specific FE models of the buttock. Model calibration was performed based on Ischial Tuberosity sagging. Model evaluation was performed by comparing the simulated contact pressure with experimental observations on a population of 6 healthy subjects. Analysis of the models confirmed the high inter-individual variability of soft tissue response (maximum Green Lagrange shear strains of 213 ± 101% in the muscle). This methodology opens the way for investigating inter-individual factors influencing the soft tissue response during sitting and for providing tools to assess PU risk.</description><subject>Biomechanics</subject><subject>Buttock</subject><subject>Buttocks - pathology</subject><subject>Cascades</subject><subject>Computed tomography</subject><subject>Computer simulation</subject><subject>Contact pressure</subject><subject>Design</subject><subject>Engineering Sciences</subject><subject>FEM</subject><subject>Finite Element Analysis</subject><subject>Finite element method</subject><subject>Humans</subject><subject>Image processing</subject><subject>Image segmentation</subject><subject>Injury prevention</subject><subject>Magnetic resonance imaging</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Mechanical loading</subject><subject>Mechanical properties</subject><subject>Mechanics</subject><subject>Medical imaging</subject><subject>Muscles</subject><subject>Patient-Specific Modeling</subject><subject>Posture</subject><subject>Pressure</subject><subject>Pressure Ulcer - pathology</subject><subject>Pressure Ulcer - prevention & control</subject><subject>Pressure ulcers</subject><subject>Prevention</subject><subject>Shear strain</subject><subject>Sitting Position</subject><subject>Soft tissues</subject><subject>Standard deviation</subject><subject>Subject specific</subject><subject>Ulcer</subject><subject>Ulcers</subject><subject>Ultrasonic imaging</subject><subject>Ultrasound</subject><subject>Weight</subject><issn>0021-9290</issn><issn>1873-2380</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFksFu1DAQQCMEokvhFypLXOCQZRx3E-dGVVqKtBIXOFuOPd51SOzUdhbtd_GDON22By5IlmxZb96MPVMUFxTWFGj9qV_3nfUjqv26AsrXkBfQF8WK8oaVFePwslgBVLRsqxbOijcx9gDQXDbt6-KMQQ6qNtWq-PMFDzj4aUSXiHSa4EEOs0zWO-INkcThbzJi2nvtB787EuMDSXskRsZEdugwPMNTPmVNGSdU1lhFbq2zCcnNgA_60Wsc4kIugm5OyatfD8JoU7JuV0p1P9uAmmjEiSQb44zEun4ORzKFXKlbcr0tXhk5RHz3uJ8XP29vflzfldvvX79dX21LddnwVNawaTuOykAtGZWsbuqOcQZGtQCSmU5yXbVdbRA6ZIaZBqkxWm5QG0Nbys6LjyfvXg5iCnaU4Si8tOLuaiuWO6gYbBraHhb2w4mdgr-fMSYx2qhwGKRDP0dR0QwzzinP6Pt_0N7PweWXZIrzTQ1Zman6RKngYwxoniugIJYREL14GgGxjICAvGCp5OJRP3cj6uewp55n4PMJyM3Ag8Ugosp9U6jz16sktLf_y_EX6dzJkA</recordid><startdate>20181005</startdate><enddate>20181005</enddate><creator>Macron, Aurélien</creator><creator>Pillet, Hélène</creator><creator>Doridam, Jennifer</creator><creator>Verney, Alexandre</creator><creator>Rohan, Pierre-Yves</creator><general>Elsevier Ltd</general><general>Elsevier Limited</general><general>Elsevier</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7TB</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope></search><sort><creationdate>20181005</creationdate><title>Development and evaluation of a new methodology for the fast generation of patient-specific Finite Element models of the buttock for sitting-acquired deep tissue injury prevention</title><author>Macron, Aurélien ; Pillet, Hélène ; Doridam, Jennifer ; Verney, Alexandre ; Rohan, Pierre-Yves</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c478t-6059b8ecf06a31a3676b3830fc900a3fba8d29b6fe0be3f3f7e1ffda5edff1913</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Biomechanics</topic><topic>Buttock</topic><topic>Buttocks - pathology</topic><topic>Cascades</topic><topic>Computed tomography</topic><topic>Computer simulation</topic><topic>Contact pressure</topic><topic>Design</topic><topic>Engineering Sciences</topic><topic>FEM</topic><topic>Finite Element Analysis</topic><topic>Finite element method</topic><topic>Humans</topic><topic>Image processing</topic><topic>Image segmentation</topic><topic>Injury prevention</topic><topic>Magnetic resonance imaging</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Mechanical loading</topic><topic>Mechanical properties</topic><topic>Mechanics</topic><topic>Medical imaging</topic><topic>Muscles</topic><topic>Patient-Specific Modeling</topic><topic>Posture</topic><topic>Pressure</topic><topic>Pressure Ulcer - pathology</topic><topic>Pressure Ulcer - prevention & control</topic><topic>Pressure ulcers</topic><topic>Prevention</topic><topic>Shear strain</topic><topic>Sitting Position</topic><topic>Soft tissues</topic><topic>Standard deviation</topic><topic>Subject specific</topic><topic>Ulcer</topic><topic>Ulcers</topic><topic>Ultrasonic imaging</topic><topic>Ultrasound</topic><topic>Weight</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Macron, Aurélien</creatorcontrib><creatorcontrib>Pillet, Hélène</creatorcontrib><creatorcontrib>Doridam, Jennifer</creatorcontrib><creatorcontrib>Verney, Alexandre</creatorcontrib><creatorcontrib>Rohan, Pierre-Yves</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Journal of biomechanics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Macron, Aurélien</au><au>Pillet, Hélène</au><au>Doridam, Jennifer</au><au>Verney, Alexandre</au><au>Rohan, Pierre-Yves</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development and evaluation of a new methodology for the fast generation of patient-specific Finite Element models of the buttock for sitting-acquired deep tissue injury prevention</atitle><jtitle>Journal of biomechanics</jtitle><addtitle>J Biomech</addtitle><date>2018-10-05</date><risdate>2018</risdate><volume>79</volume><spage>173</spage><epage>180</epage><pages>173-180</pages><issn>0021-9290</issn><eissn>1873-2380</eissn><abstract>The occurrence and management of Pressure Ulcers remain a major issue for patients with reduced mobility and neurosensory loss despite significant improvement in the prevention methods. These injuries are caused by biological cascades leading from a given mechanical loading state in tissues to irreversible tissue damage. Estimating the internal mechanical conditions within loaded soft tissues has the potential of improving the management and prevention of PU. Several Finite Element models of the buttock have therefore been proposed based on either MRI or CT-Scan data. However, because of the limited availability of MRI or CT-Scan systems and of the long segmentation time, all studies in the literature include the data of only one individual. Yet the inter-individual variability can’t be overlooked when dealing with patient specific estimation of internal tissue loading. As an alternative, this contribution focuses on the combined use of low-dose biplanar X-ray images, B-mode ultrasound images and optical scanner acquisitions in a non-weight-bearing sitting posture for the fast generation of patient-specific FE models of the buttock. Model calibration was performed based on Ischial Tuberosity sagging. Model evaluation was performed by comparing the simulated contact pressure with experimental observations on a population of 6 healthy subjects. Analysis of the models confirmed the high inter-individual variability of soft tissue response (maximum Green Lagrange shear strains of 213 ± 101% in the muscle). This methodology opens the way for investigating inter-individual factors influencing the soft tissue response during sitting and for providing tools to assess PU risk.</abstract><cop>United States</cop><pub>Elsevier Ltd</pub><pmid>30201252</pmid><doi>10.1016/j.jbiomech.2018.08.001</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Biomechanics Buttock Buttocks - pathology Cascades Computed tomography Computer simulation Contact pressure Design Engineering Sciences FEM Finite Element Analysis Finite element method Humans Image processing Image segmentation Injury prevention Magnetic resonance imaging Mathematical analysis Mathematical models Mechanical loading Mechanical properties Mechanics Medical imaging Muscles Patient-Specific Modeling Posture Pressure Pressure Ulcer - pathology Pressure Ulcer - prevention & control Pressure ulcers Prevention Shear strain Sitting Position Soft tissues Standard deviation Subject specific Ulcer Ulcers Ultrasonic imaging Ultrasound Weight |
title | Development and evaluation of a new methodology for the fast generation of patient-specific Finite Element models of the buttock for sitting-acquired deep tissue injury prevention |
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