Temporal blood flow changes measured by diffuse correlation tomography predict murine femoral graft healing
Blood flow changes during bone graft healing have the potential to provide important information about graft success, as the nutrients, oxygen, circulating cells and growth factors essential for integration are delivered by blood. However, longitudinal monitoring of blood flow changes during graft h...
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| creator | Han, Songfeng Proctor, Ashley R Ren, Jingxuan Benoit, Danielle S W Choe, Regine |
| description | Blood flow changes during bone graft healing have the potential to provide important information about graft success, as the nutrients, oxygen, circulating cells and growth factors essential for integration are delivered by blood. However, longitudinal monitoring of blood flow changes during graft healing has been a challenge due to limitations in current techniques. To this end, non-invasive diffuse correlation tomography (DCT) was investigated to enable longitudinal monitoring of three-dimensional blood flow changes in deep tissue. Specific to this study, longitudinal blood flow changes were utilized to predict healing outcomes of common interventions for massive bone defects using a common mouse femoral defect model. Weekly blood flow changes were non-invasively measured using a diffuse correlation tomography system for 9 weeks in three types of grafts: autografts (N = 7), allografts (N = 6) and tissue-engineered allografts (N = 6). Healing outcomes were quantified using an established torsion testing method 9 weeks after transplantation. Analysis of the spatial and temporal blood flow reveals that major differences among the three groups were captured in weeks 1-5 after graft transplantation. A multivariate model to predict maximum torque by relative blood flow changes over 5 weeks after graft transplantation was built using partial least squares regression. The results reveal lower bone strength correlates with greater cumulative blood flow over an extended period of time (i.e., 1-5 weeks). The current research demonstrates that DCT-measured blood flow changes after graft transplantation can be utilized to predict long-term healing outcomes in a mouse femoral graft model. |
| doi_str_mv | 10.1371/journal.pone.0197031 |
| format | Article |
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However, longitudinal monitoring of blood flow changes during graft healing has been a challenge due to limitations in current techniques. To this end, non-invasive diffuse correlation tomography (DCT) was investigated to enable longitudinal monitoring of three-dimensional blood flow changes in deep tissue. Specific to this study, longitudinal blood flow changes were utilized to predict healing outcomes of common interventions for massive bone defects using a common mouse femoral defect model. Weekly blood flow changes were non-invasively measured using a diffuse correlation tomography system for 9 weeks in three types of grafts: autografts (N = 7), allografts (N = 6) and tissue-engineered allografts (N = 6). Healing outcomes were quantified using an established torsion testing method 9 weeks after transplantation. Analysis of the spatial and temporal blood flow reveals that major differences among the three groups were captured in weeks 1-5 after graft transplantation. A multivariate model to predict maximum torque by relative blood flow changes over 5 weeks after graft transplantation was built using partial least squares regression. The results reveal lower bone strength correlates with greater cumulative blood flow over an extended period of time (i.e., 1-5 weeks). The current research demonstrates that DCT-measured blood flow changes after graft transplantation can be utilized to predict long-term healing outcomes in a mouse femoral graft model.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0197031</identifier><identifier>PMID: 29813078</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Allografts ; Analysis ; Autografts ; Biology and Life Sciences ; Biomechanics ; Biomedical engineering ; Biomedical materials ; Blood ; Blood circulation ; Blood flow ; Blood flow measurement ; Bone blood flow ; Bone grafts ; Bone healing ; Bone strength ; CAT scans ; Correlation ; Correlation analysis ; Dimensional changes ; Engineering and Technology ; Femur ; Flow ; Grafting ; Grafts ; Growth factors ; Healing ; Hydrogels ; Medical imaging ; Medicine and Health Sciences ; Monitoring ; Nutrients ; Optics ; Oxygen ; Physical Sciences ; Polymerization ; Rats ; Regression analysis ; Research and Analysis Methods ; Skin & tissue grafts ; Spatial analysis ; Stem cells ; Substitute bone ; Test procedures ; Three dimensional flow ; Tissue engineering ; Tomography ; Transplantation</subject><ispartof>PloS one, 2018-05, Vol.13 (5), p.e0197031-e0197031</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Han et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2018 Han et al 2018 Han et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-bbf3f1a5bb60e48d185cf5a58d56909cd5a5637d13d8703dae8a468197a738bb3</citedby><cites>FETCH-LOGICAL-c692t-bbf3f1a5bb60e48d185cf5a58d56909cd5a5637d13d8703dae8a468197a738bb3</cites><orcidid>0000-0002-0699-9906</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5973582/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5973582/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29813078$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Han, Songfeng</creatorcontrib><creatorcontrib>Proctor, Ashley R</creatorcontrib><creatorcontrib>Ren, Jingxuan</creatorcontrib><creatorcontrib>Benoit, Danielle S W</creatorcontrib><creatorcontrib>Choe, Regine</creatorcontrib><title>Temporal blood flow changes measured by diffuse correlation tomography predict murine femoral graft healing</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Blood flow changes during bone graft healing have the potential to provide important information about graft success, as the nutrients, oxygen, circulating cells and growth factors essential for integration are delivered by blood. However, longitudinal monitoring of blood flow changes during graft healing has been a challenge due to limitations in current techniques. To this end, non-invasive diffuse correlation tomography (DCT) was investigated to enable longitudinal monitoring of three-dimensional blood flow changes in deep tissue. Specific to this study, longitudinal blood flow changes were utilized to predict healing outcomes of common interventions for massive bone defects using a common mouse femoral defect model. Weekly blood flow changes were non-invasively measured using a diffuse correlation tomography system for 9 weeks in three types of grafts: autografts (N = 7), allografts (N = 6) and tissue-engineered allografts (N = 6). Healing outcomes were quantified using an established torsion testing method 9 weeks after transplantation. Analysis of the spatial and temporal blood flow reveals that major differences among the three groups were captured in weeks 1-5 after graft transplantation. A multivariate model to predict maximum torque by relative blood flow changes over 5 weeks after graft transplantation was built using partial least squares regression. The results reveal lower bone strength correlates with greater cumulative blood flow over an extended period of time (i.e., 1-5 weeks). The current research demonstrates that DCT-measured blood flow changes after graft transplantation can be utilized to predict long-term healing outcomes in a mouse femoral graft model.</description><subject>Allografts</subject><subject>Analysis</subject><subject>Autografts</subject><subject>Biology and Life Sciences</subject><subject>Biomechanics</subject><subject>Biomedical engineering</subject><subject>Biomedical materials</subject><subject>Blood</subject><subject>Blood circulation</subject><subject>Blood flow</subject><subject>Blood flow measurement</subject><subject>Bone blood flow</subject><subject>Bone grafts</subject><subject>Bone healing</subject><subject>Bone strength</subject><subject>CAT scans</subject><subject>Correlation</subject><subject>Correlation analysis</subject><subject>Dimensional changes</subject><subject>Engineering and Technology</subject><subject>Femur</subject><subject>Flow</subject><subject>Grafting</subject><subject>Grafts</subject><subject>Growth 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blood flow changes measured by diffuse correlation tomography predict murine femoral graft healing</title><author>Han, Songfeng ; Proctor, Ashley R ; Ren, Jingxuan ; Benoit, Danielle S W ; Choe, Regine</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-bbf3f1a5bb60e48d185cf5a58d56909cd5a5637d13d8703dae8a468197a738bb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Allografts</topic><topic>Analysis</topic><topic>Autografts</topic><topic>Biology and Life Sciences</topic><topic>Biomechanics</topic><topic>Biomedical engineering</topic><topic>Biomedical materials</topic><topic>Blood</topic><topic>Blood circulation</topic><topic>Blood flow</topic><topic>Blood flow measurement</topic><topic>Bone blood flow</topic><topic>Bone grafts</topic><topic>Bone healing</topic><topic>Bone strength</topic><topic>CAT scans</topic><topic>Correlation</topic><topic>Correlation analysis</topic><topic>Dimensional changes</topic><topic>Engineering and Technology</topic><topic>Femur</topic><topic>Flow</topic><topic>Grafting</topic><topic>Grafts</topic><topic>Growth factors</topic><topic>Healing</topic><topic>Hydrogels</topic><topic>Medical imaging</topic><topic>Medicine and Health Sciences</topic><topic>Monitoring</topic><topic>Nutrients</topic><topic>Optics</topic><topic>Oxygen</topic><topic>Physical Sciences</topic><topic>Polymerization</topic><topic>Rats</topic><topic>Regression analysis</topic><topic>Research and Analysis Methods</topic><topic>Skin & tissue grafts</topic><topic>Spatial analysis</topic><topic>Stem cells</topic><topic>Substitute bone</topic><topic>Test procedures</topic><topic>Three dimensional flow</topic><topic>Tissue engineering</topic><topic>Tomography</topic><topic>Transplantation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Han, Songfeng</creatorcontrib><creatorcontrib>Proctor, Ashley 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measured by diffuse correlation tomography predict murine femoral graft healing</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2018-05-29</date><risdate>2018</risdate><volume>13</volume><issue>5</issue><spage>e0197031</spage><epage>e0197031</epage><pages>e0197031-e0197031</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Blood flow changes during bone graft healing have the potential to provide important information about graft success, as the nutrients, oxygen, circulating cells and growth factors essential for integration are delivered by blood. However, longitudinal monitoring of blood flow changes during graft healing has been a challenge due to limitations in current techniques. To this end, non-invasive diffuse correlation tomography (DCT) was investigated to enable longitudinal monitoring of three-dimensional blood flow changes in deep tissue. Specific to this study, longitudinal blood flow changes were utilized to predict healing outcomes of common interventions for massive bone defects using a common mouse femoral defect model. Weekly blood flow changes were non-invasively measured using a diffuse correlation tomography system for 9 weeks in three types of grafts: autografts (N = 7), allografts (N = 6) and tissue-engineered allografts (N = 6). Healing outcomes were quantified using an established torsion testing method 9 weeks after transplantation. Analysis of the spatial and temporal blood flow reveals that major differences among the three groups were captured in weeks 1-5 after graft transplantation. A multivariate model to predict maximum torque by relative blood flow changes over 5 weeks after graft transplantation was built using partial least squares regression. The results reveal lower bone strength correlates with greater cumulative blood flow over an extended period of time (i.e., 1-5 weeks). The current research demonstrates that DCT-measured blood flow changes after graft transplantation can be utilized to predict long-term healing outcomes in a mouse femoral graft model.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29813078</pmid><doi>10.1371/journal.pone.0197031</doi><tpages>e0197031</tpages><orcidid>https://orcid.org/0000-0002-0699-9906</orcidid><oa>free_for_read</oa></addata></record> |
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| source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | Allografts Analysis Autografts Biology and Life Sciences Biomechanics Biomedical engineering Biomedical materials Blood Blood circulation Blood flow Blood flow measurement Bone blood flow Bone grafts Bone healing Bone strength CAT scans Correlation Correlation analysis Dimensional changes Engineering and Technology Femur Flow Grafting Grafts Growth factors Healing Hydrogels Medical imaging Medicine and Health Sciences Monitoring Nutrients Optics Oxygen Physical Sciences Polymerization Rats Regression analysis Research and Analysis Methods Skin & tissue grafts Spatial analysis Stem cells Substitute bone Test procedures Three dimensional flow Tissue engineering Tomography Transplantation |
| title | Temporal blood flow changes measured by diffuse correlation tomography predict murine femoral graft healing |
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