Dynamic morphometric characterization of local connective tissue network structure in humans using ultrasound
Identifieur interne : 007436 ( Main/Merge ); précédent : 007435; suivant : 007437Dynamic 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
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DOI: 10.1186/1752-0509-1-25
PubMed: 17550618
PubMed Central: 1913929
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Langevin</name><affiliation wicri:level="1"><nlm:aff id="I1">Department of Neurology, University of Vermont, Burlington, VT, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Neurology, University of Vermont, Burlington, VT</wicri:regionArea><wicri:noRegion>VT</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="I3">Department of Orthopaedics & Rehabilitation, University of Vermont, Burlington, VT, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Orthopaedics & Rehabilitation, University of Vermont, Burlington, VT</wicri:regionArea><wicri:noRegion>VT</wicri:noRegion></affiliation></author><author><name sortKey="Rizzo, Donna M" sort="Rizzo, Donna M" uniqKey="Rizzo D" first="Donna M" last="Rizzo">Donna M. 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Langevin</name><affiliation wicri:level="1"><nlm:aff id="I1">Department of Neurology, University of Vermont, Burlington, VT, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Neurology, University of Vermont, Burlington, VT</wicri:regionArea><wicri:noRegion>VT</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="I3">Department of Orthopaedics & Rehabilitation, University of Vermont, Burlington, VT, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Orthopaedics & Rehabilitation, University of Vermont, Burlington, VT</wicri:regionArea><wicri:noRegion>VT</wicri:noRegion></affiliation></author><author><name sortKey="Rizzo, Donna M" sort="Rizzo, Donna M" uniqKey="Rizzo D" first="Donna M" last="Rizzo">Donna M. Rizzo</name><affiliation wicri:level="1"><nlm:aff id="I2">Department of Civil & Environmental Engineering, University of Vermont, Burlington, VT, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Civil & Environmental Engineering, University of Vermont, Burlington, VT</wicri:regionArea><wicri:noRegion>VT</wicri:noRegion></affiliation></author><author><name sortKey="Fox, James R" sort="Fox, James R" uniqKey="Fox J" first="James R" last="Fox">James R. Fox</name><affiliation wicri:level="1"><nlm:aff id="I1">Department of Neurology, University of Vermont, Burlington, VT, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Neurology, University of Vermont, Burlington, VT</wicri:regionArea><wicri:noRegion>VT</wicri:noRegion></affiliation></author><author><name sortKey="Badger, Gary J" sort="Badger, Gary J" uniqKey="Badger G" first="Gary J" last="Badger">Gary J. Badger</name><affiliation wicri:level="1"><nlm:aff id="I4">Department of Medical Biostatistics, University of Vermont, Burlington, VT, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Medical Biostatistics, University of Vermont, Burlington, VT</wicri:regionArea><wicri:noRegion>VT</wicri:noRegion></affiliation></author><author><name sortKey="Wu, Junru" sort="Wu, Junru" uniqKey="Wu J" first="Junru" last="Wu">Junru Wu</name><affiliation wicri:level="1"><nlm:aff id="I5">Department of Physics, University of Vermont, Burlington, VT, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Physics, University of Vermont, Burlington, VT</wicri:regionArea><wicri:noRegion>VT</wicri:noRegion></affiliation></author><author><name sortKey="Konofagou, Elisa E" sort="Konofagou, Elisa E" uniqKey="Konofagou E" first="Elisa E" last="Konofagou">Elisa E. Konofagou</name><affiliation wicri:level="4"><nlm:aff id="I6">Department of Biomedical Engineering, Columbia University, New York, NY, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Biomedical Engineering, Columbia University, New York, NY</wicri:regionArea><orgName type="university">Université Columbia</orgName><placeName><settlement type="city">New York</settlement><region type="state">État de New York</region></placeName></affiliation></author><author><name sortKey="Stevens Tuttle, Debbie" sort="Stevens Tuttle, Debbie" uniqKey="Stevens Tuttle D" first="Debbie" last="Stevens-Tuttle">Debbie Stevens-Tuttle</name><affiliation wicri:level="1"><nlm:aff id="I1">Department of Neurology, University of Vermont, Burlington, VT, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Neurology, University of Vermont, Burlington, VT</wicri:regionArea><wicri:noRegion>VT</wicri:noRegion></affiliation></author><author><name sortKey="Bouffard, Nicole A" sort="Bouffard, Nicole A" uniqKey="Bouffard N" first="Nicole A" last="Bouffard">Nicole A. Bouffard</name><affiliation wicri:level="1"><nlm:aff id="I1">Department of Neurology, University of Vermont, Burlington, VT, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Neurology, University of Vermont, Burlington, VT</wicri:regionArea><wicri:noRegion>VT</wicri:noRegion></affiliation></author><author><name sortKey="Krag, Martin H" sort="Krag, Martin H" uniqKey="Krag M" first="Martin H" last="Krag">Martin H. Krag</name><affiliation wicri:level="1"><nlm:aff id="I3">Department of Orthopaedics & Rehabilitation, University of Vermont, Burlington, VT, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Orthopaedics & Rehabilitation, University of Vermont, Burlington, VT</wicri:regionArea><wicri:noRegion>VT</wicri:noRegion></affiliation></author></analytic><series><title level="j">BMC Systems Biology</title><idno type="eISSN">1752-0509</idno><imprint><date when="2007">2007</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><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><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct></listBibl></div1></back></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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