Dynamic morphometric characterization of local connective tissue network structure in humans using ultrasound
Identifieur interne : 002749 ( Ncbi/Merge ); précédent : 002748; suivant : 002750Dynamic morphometric characterization of local connective tissue network structure in humans using ultrasound
Auteurs : Helene M. Langevin [États-Unis] ; Donna M. Rizzo [États-Unis] ; James R. Fox [États-Unis] ; Gary J. Badger [États-Unis] ; Junru Wu [États-Unis] ; Elisa E. Konofagou [États-Unis] ; Debbie Stevens-Tuttle [États-Unis] ; Nicole A. Bouffard [États-Unis] ; Martin H. Krag [États-Unis]Source :
- BMC Systems Biology [ 1752-0509 ] ; 2007.
Abstract
In humans, connective tissue forms a complex, interconnected network throughout the body that may have mechanosensory, regulatory and signaling functions. Understanding these potentially important phenomena requires non-invasive measurements of collagen network structure that can be performed in live animals or humans. The goal of this study was to show that ultrasound can be used to quantify dynamic changes in local connective tissue structure
3-D renditions of ultrasound images showed longitudinal echogenic sheets that matched with collagenous sheets seen in histological preparations. Rank correlations between serial 2-D ultrasound and corresponding histology images resulted in high positive correlations for semi-variogram ranges computed parallel (r = 0.79, p < 0.001) and perpendicular (r = 0.63, p < 0.001) to the surface of the skin, indicating concordance in spatial structure between the two data sets. Needle rotation caused tissue displacement in the area surrounding the needle that was mapped spatially with ultrasound elastography and corresponded to collagen bundles winding around the needle on histological sections. In semi-variograms computed for each ultrasound frame, there was a greater change in the area under the semi-variogram curve across successive frames during needle rotation compared with no rotation. The direction of this change was heterogeneous across subjects. The frame-to-frame variability was 10-fold (p < 0.001) greater with rotation than with no rotation indicating changes in tissue structure during rotation.
The combination of ultrasound and semi-variogram analyses allows quantitative assessment of dynamic changes in the structure of human connective tissue
Url:
DOI: 10.1186/1752-0509-1-25
PubMed: 17550618
PubMed Central: 1913929
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<front><div type="abstract" xml:lang="en"><sec><title>Background</title>
<p>In humans, connective tissue forms a complex, interconnected network throughout the body that may have mechanosensory, regulatory and signaling functions. Understanding these potentially important phenomena requires non-invasive measurements of collagen network structure that can be performed in live animals or humans. The goal of this study was to show that ultrasound can be used to quantify dynamic changes in local connective tissue structure <italic>in vivo</italic>
. We first performed combined ultrasound and histology examinations of the same tissue in two subjects undergoing surgery: in one subject, we examined the relationship of ultrasound to histological images in three dimensions; in the other, we examined the effect of a localized tissue perturbation using a previously developed robotic acupuncture needling technique. In ten additional non-surgical subjects, we quantified changes in tissue spatial organization over time during needle rotation vs. no rotation using ultrasound and semi-variogram analyses.</p>
</sec>
<sec><title>Results</title>
<p>3-D renditions of ultrasound images showed longitudinal echogenic sheets that matched with collagenous sheets seen in histological preparations. Rank correlations between serial 2-D ultrasound and corresponding histology images resulted in high positive correlations for semi-variogram ranges computed parallel (r = 0.79, p < 0.001) and perpendicular (r = 0.63, p < 0.001) to the surface of the skin, indicating concordance in spatial structure between the two data sets. Needle rotation caused tissue displacement in the area surrounding the needle that was mapped spatially with ultrasound elastography and corresponded to collagen bundles winding around the needle on histological sections. In semi-variograms computed for each ultrasound frame, there was a greater change in the area under the semi-variogram curve across successive frames during needle rotation compared with no rotation. The direction of this change was heterogeneous across subjects. The frame-to-frame variability was 10-fold (p < 0.001) greater with rotation than with no rotation indicating changes in tissue structure during rotation.</p>
</sec>
<sec><title>Conclusion</title>
<p>The combination of ultrasound and semi-variogram analyses allows quantitative assessment of dynamic changes in the structure of human connective tissue <italic>in vivo</italic>
.</p>
</sec>
</div>
</front>
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<journal-title>BMC Systems Biology</journal-title>
<issn pub-type="epub">1752-0509</issn>
<publisher><publisher-name>BioMed Central</publisher-name>
<publisher-loc>London</publisher-loc>
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<article-id pub-id-type="pmc">1913929</article-id>
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<article-id pub-id-type="doi">10.1186/1752-0509-1-25</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject>
</subj-group>
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<title-group><article-title>Dynamic morphometric characterization of local connective tissue network structure in humans using ultrasound</article-title>
</title-group>
<contrib-group><contrib id="A1" corresp="yes" contrib-type="author"><name><surname>Langevin</surname>
<given-names>Helene M</given-names>
</name>
<xref ref-type="aff" rid="I1">1</xref>
<xref ref-type="aff" rid="I3">3</xref>
<email>helene.langevin@uvm.edu</email>
</contrib>
<contrib id="A2" contrib-type="author"><name><surname>Rizzo</surname>
<given-names>Donna M</given-names>
</name>
<xref ref-type="aff" rid="I2">2</xref>
<email>drizzo@cem.uvm.edu</email>
</contrib>
<contrib id="A3" contrib-type="author"><name><surname>Fox</surname>
<given-names>James R</given-names>
</name>
<xref ref-type="aff" rid="I1">1</xref>
<email>james.fox@uvm.edu</email>
</contrib>
<contrib id="A4" contrib-type="author"><name><surname>Badger</surname>
<given-names>Gary J</given-names>
</name>
<xref ref-type="aff" rid="I4">4</xref>
<email>gbadger@zoo.uvm.edu</email>
</contrib>
<contrib id="A5" contrib-type="author"><name><surname>Wu</surname>
<given-names>Junru</given-names>
</name>
<xref ref-type="aff" rid="I5">5</xref>
<email>jwu@zoo.uvm.edu</email>
</contrib>
<contrib id="A6" contrib-type="author"><name><surname>Konofagou</surname>
<given-names>Elisa E</given-names>
</name>
<xref ref-type="aff" rid="I6">6</xref>
<email>ek2191@columbia.edu</email>
</contrib>
<contrib id="A7" contrib-type="author"><name><surname>Stevens-Tuttle</surname>
<given-names>Debbie</given-names>
</name>
<xref ref-type="aff" rid="I1">1</xref>
<email>debbie.stevens-tuttle@uvm.edu</email>
</contrib>
<contrib id="A8" contrib-type="author"><name><surname>Bouffard</surname>
<given-names>Nicole A</given-names>
</name>
<xref ref-type="aff" rid="I1">1</xref>
<email>nicole.bouffard@uvm.edu</email>
</contrib>
<contrib id="A9" contrib-type="author"><name><surname>Krag</surname>
<given-names>Martin H</given-names>
</name>
<xref ref-type="aff" rid="I3">3</xref>
<email>martin.krag@uvm.edu</email>
</contrib>
</contrib-group>
<aff id="I1"><label>1</label>
Department of Neurology, University of Vermont, Burlington, VT, USA</aff>
<aff id="I2"><label>2</label>
Department of Civil & Environmental Engineering, University of Vermont, Burlington, VT, USA</aff>
<aff id="I3"><label>3</label>
Department of Orthopaedics & Rehabilitation, University of Vermont, Burlington, VT, USA</aff>
<aff id="I4"><label>4</label>
Department of Medical Biostatistics, University of Vermont, Burlington, VT, USA</aff>
<aff id="I5"><label>5</label>
Department of Physics, University of Vermont, Burlington, VT, USA</aff>
<aff id="I6"><label>6</label>
Department of Biomedical Engineering, Columbia University, New York, NY, USA</aff>
<pub-date pub-type="collection"><year>2007</year>
</pub-date>
<pub-date pub-type="epub"><day>5</day>
<month>6</month>
<year>2007</year>
</pub-date>
<volume>1</volume>
<fpage>25</fpage>
<lpage>25</lpage>
<ext-link ext-link-type="uri" xlink:href="http://www.biomedcentral.com/1752-0509/1/25"></ext-link>
<history><date date-type="received"><day>21</day>
<month>11</month>
<year>2006</year>
</date>
<date date-type="accepted"><day>5</day>
<month>6</month>
<year>2007</year>
</date>
</history>
<permissions><copyright-statement>Copyright © 2007 Langevin et al; licensee BioMed Central Ltd.</copyright-statement>
<copyright-year>2007</copyright-year>
<copyright-holder>Langevin et al; licensee BioMed Central Ltd.</copyright-holder>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.0"><p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/2.0"></ext-link>
), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p>
<pmc-comment>
Langevin
M
Helene
helene.langevin@uvm.edu
Dynamic morphometric characterization of local connective tissue network structure in humans using ultrasound
2007 BMC Systems Biology 1(1): 25-. (2007) 1752-0509(2007)1:1<25> urn:ISSN:1752-0509 </pmc-comment>
</license>
</permissions>
<abstract><sec><title>Background</title>
<p>In humans, connective tissue forms a complex, interconnected network throughout the body that may have mechanosensory, regulatory and signaling functions. Understanding these potentially important phenomena requires non-invasive measurements of collagen network structure that can be performed in live animals or humans. The goal of this study was to show that ultrasound can be used to quantify dynamic changes in local connective tissue structure <italic>in vivo</italic>
. We first performed combined ultrasound and histology examinations of the same tissue in two subjects undergoing surgery: in one subject, we examined the relationship of ultrasound to histological images in three dimensions; in the other, we examined the effect of a localized tissue perturbation using a previously developed robotic acupuncture needling technique. In ten additional non-surgical subjects, we quantified changes in tissue spatial organization over time during needle rotation vs. no rotation using ultrasound and semi-variogram analyses.</p>
</sec>
<sec><title>Results</title>
<p>3-D renditions of ultrasound images showed longitudinal echogenic sheets that matched with collagenous sheets seen in histological preparations. Rank correlations between serial 2-D ultrasound and corresponding histology images resulted in high positive correlations for semi-variogram ranges computed parallel (r = 0.79, p < 0.001) and perpendicular (r = 0.63, p < 0.001) to the surface of the skin, indicating concordance in spatial structure between the two data sets. Needle rotation caused tissue displacement in the area surrounding the needle that was mapped spatially with ultrasound elastography and corresponded to collagen bundles winding around the needle on histological sections. In semi-variograms computed for each ultrasound frame, there was a greater change in the area under the semi-variogram curve across successive frames during needle rotation compared with no rotation. The direction of this change was heterogeneous across subjects. The frame-to-frame variability was 10-fold (p < 0.001) greater with rotation than with no rotation indicating changes in tissue structure during rotation.</p>
</sec>
<sec><title>Conclusion</title>
<p>The combination of ultrasound and semi-variogram analyses allows quantitative assessment of dynamic changes in the structure of human connective tissue <italic>in vivo</italic>
.</p>
</sec>
</abstract>
</article-meta>
</front>
</pmc>
<affiliations><list><country><li>États-Unis</li>
</country>
<region><li>État de New York</li>
</region>
<settlement><li>New York</li>
</settlement>
<orgName><li>Université Columbia</li>
</orgName>
</list>
<tree><country name="États-Unis"><noRegion><name sortKey="Langevin, Helene M" sort="Langevin, Helene M" uniqKey="Langevin H" first="Helene M" last="Langevin">Helene M. Langevin</name>
</noRegion>
<name sortKey="Badger, Gary J" sort="Badger, Gary J" uniqKey="Badger G" first="Gary J" last="Badger">Gary J. Badger</name>
<name sortKey="Bouffard, Nicole A" sort="Bouffard, Nicole A" uniqKey="Bouffard N" first="Nicole A" last="Bouffard">Nicole A. Bouffard</name>
<name sortKey="Fox, James R" sort="Fox, James R" uniqKey="Fox J" first="James R" last="Fox">James R. Fox</name>
<name sortKey="Konofagou, Elisa E" sort="Konofagou, Elisa E" uniqKey="Konofagou E" first="Elisa E" last="Konofagou">Elisa E. Konofagou</name>
<name sortKey="Krag, Martin H" sort="Krag, Martin H" uniqKey="Krag M" first="Martin H" last="Krag">Martin H. Krag</name>
<name sortKey="Langevin, Helene M" sort="Langevin, Helene M" uniqKey="Langevin H" first="Helene M" last="Langevin">Helene M. Langevin</name>
<name sortKey="Rizzo, Donna M" sort="Rizzo, Donna M" uniqKey="Rizzo D" first="Donna M" last="Rizzo">Donna M. Rizzo</name>
<name sortKey="Stevens Tuttle, Debbie" sort="Stevens Tuttle, Debbie" uniqKey="Stevens Tuttle D" first="Debbie" last="Stevens-Tuttle">Debbie Stevens-Tuttle</name>
<name sortKey="Wu, Junru" sort="Wu, Junru" uniqKey="Wu J" first="Junru" last="Wu">Junru Wu</name>
</country>
</tree>
</affiliations>
</record>
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