In vivo kinematic analysis of the glenohumeral joint during dynamic full axial rotation and scapular plane full abduction in healthy ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-07

AUTHORS

Naoya Kozono, Takamitsu Okada, Naohide Takeuchi, Satoshi Hamai, Hidehiko Higaki, Satoru Ikebe, Takeshi Shimoto, Go Miake, Yoshitaka Nakanishi, Yukihide Iwamoto

ABSTRACT

PURPOSE: The purpose of this study was to evaluate the kinematics of healthy shoulders during dynamic full axial rotation and scapular plane full abduction using three-dimensional (3D)-to-two-dimensional (2D) model-to-image registration techniques. METHODS: Dynamic glenohumeral kinematics during axial rotation and scapular plane abduction were analysed in 10 healthy participants. Continuous radiographic images of axial rotation and scapular plane abduction were taken using a flat panel radiographic detector. The participants received a computed tomography scan to generate virtual digitally reconstructed radiographs. The density-based digitally reconstructed radiographs were then compared with the serial radiographic images acquired using image correlations. These 3D-to-2D model-to-image registration techniques determined the 3D positions and orientations of the humerus and scapula during dynamic full axial rotation and scapular plane full abduction. RESULTS: The humeral head centre translated an average of 2.5 ± 3.1 mm posteriorly, and 1.4 ± 1.0 mm superiorly in the early phase, then an average of 2.0 ± 0.8 mm inferiorly in the late phase during external rotation motion. The glenohumeral external rotation angle had a significant effect on the anterior/posterior (A/P) and superior/inferior (S/I) translation of the humeral head centre (both p < 0.05). 33.6 ± 15.6° of glenohumeral external rotation occurred during scapular plane abduction. The humeral head centre translated an average of 0.6 ± 0.9 mm superiorly in the early phase, then 1.7 ± 2.6 mm inferiorly in the late phase, and translated an average of 0.4 ± 0.5 mm medially in the early phase, then 1.6 ± 1.0 mm laterally in the late phase during scapular plane abduction. The humeral abduction angle had a significant effect on the S/I and lateral/medial (L/M) translation of the humeral head centre (both p < 0.05). CONCLUSION: This study investigated 3D translations of the humerus relative to the scapula: during scapular plane full abduction, the humerus rotated 33.6° externally relative to the scapula, and during external rotation motion in the adducted position, the humeral head centre translated an average of 2.5 mm posteriorly. Kinematic data will provide important insights into evaluating the kinematics of pathological shoulders. For clinical relevance, quantitative assessment of dynamic healthy shoulder kinematics might be a physiological indicator for the assessment of pathological shoulders. More... »

PAGES

2032-2040

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00167-016-4263-2

DOI

http://dx.doi.org/10.1007/s00167-016-4263-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1011579399

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27511218


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biomechanical Phenomena", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Healthy Volunteers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Imaging, Three-Dimensional", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Range of Motion, Articular", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Rotation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Shoulder Joint", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Kyushu University", 
          "id": "https://www.grid.ac/institutes/grid.177174.3", 
          "name": [
            "Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, 812-8582, Fukuoka City, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kozono", 
        "givenName": "Naoya", 
        "id": "sg:person.012375541705.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012375541705.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyushu University", 
          "id": "https://www.grid.ac/institutes/grid.177174.3", 
          "name": [
            "Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, 812-8582, Fukuoka City, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Okada", 
        "givenName": "Takamitsu", 
        "id": "sg:person.0771146077.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771146077.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyushu University", 
          "id": "https://www.grid.ac/institutes/grid.177174.3", 
          "name": [
            "Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, 812-8582, Fukuoka City, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takeuchi", 
        "givenName": "Naohide", 
        "id": "sg:person.01161525504.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01161525504.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyushu University", 
          "id": "https://www.grid.ac/institutes/grid.177174.3", 
          "name": [
            "Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, 812-8582, Fukuoka City, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hamai", 
        "givenName": "Satoshi", 
        "id": "sg:person.01033640371.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033640371.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyushu Sangyo University", 
          "id": "https://www.grid.ac/institutes/grid.411241.3", 
          "name": [
            "Department of Biorobotics, Faculty of Engineering, Kyushu Sangyo University, 2-3-1, Matsukadai, Higashi-ku, 813-8503, Fukuoka City, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Higaki", 
        "givenName": "Hidehiko", 
        "id": "sg:person.01012707165.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012707165.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyushu Sangyo University", 
          "id": "https://www.grid.ac/institutes/grid.411241.3", 
          "name": [
            "Department of Biorobotics, Faculty of Engineering, Kyushu Sangyo University, 2-3-1, Matsukadai, Higashi-ku, 813-8503, Fukuoka City, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ikebe", 
        "givenName": "Satoru", 
        "id": "sg:person.01000760630.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01000760630.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fukuoka Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.418051.9", 
          "name": [
            "Department of Information and System Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-higashi, Higashi-ku, 811-0295, Fukuoka City, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shimoto", 
        "givenName": "Takeshi", 
        "id": "sg:person.0744573765.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0744573765.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyushu University", 
          "id": "https://www.grid.ac/institutes/grid.177174.3", 
          "name": [
            "Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, 812-8582, Fukuoka City, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miake", 
        "givenName": "Go", 
        "id": "sg:person.01170033226.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01170033226.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyushu University", 
          "id": "https://www.grid.ac/institutes/grid.177174.3", 
          "name": [
            "Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, 812-8582, Fukuoka City, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakanishi", 
        "givenName": "Yoshitaka", 
        "id": "sg:person.0650124167.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650124167.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyushu University", 
          "id": "https://www.grid.ac/institutes/grid.177174.3", 
          "name": [
            "Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, 812-8582, Fukuoka City, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Iwamoto", 
        "givenName": "Yukihide", 
        "id": "sg:person.01110066276.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01110066276.25"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.jbiomech.2004.05.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001826030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jse.2008.05.047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002409933"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9290(99)00209-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003461562"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jse.2008.06.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005326458"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jse.2007.05.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005466076"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00256-013-1572-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006559019", 
          "https://doi.org/10.1007/s00256-013-1572-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jse.2015.06.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007006110"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.blo.0000224019.65540.d5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008388201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.blo.0000224019.65540.d5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008388201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jse.2014.07.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009748782"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiomech.2010.03.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015823006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.clinbiomech.2014.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016789260"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiomech.2004.05.042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017101044"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jse.2010.09.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017155182"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1067/mse.2001.112954", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022057843"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jor.20355", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023990116"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2014/457573", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024745031"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.clinbiomech.2005.03.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028653050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jse.2009.02.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030475684"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jor.20208", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034799926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2013/717546", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034814935"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jor.22596", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035477112"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiomech.2007.09.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035625925"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jse.2013.09.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040387672"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12194-010-0090-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041953995", 
          "https://doi.org/10.1007/s12194-010-0090-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12194-010-0090-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041953995", 
          "https://doi.org/10.1007/s12194-010-0090-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/17453676908989501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048255067"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.212.3.r99se31699", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051389513"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-198206000-00021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060159808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-198206000-00021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060159808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-198206000-00021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060159808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/42.929617", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061171046"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0363546507300820", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063820866"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0363546507300820", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063820866"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/036354659502300303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063825100"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/036354659502300303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063825100"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.g.01483", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068900779"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.g.01483", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068900779"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.g.01483", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068900779"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.j.01875", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068902379"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.j.01875", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068902379"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.j.01875", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068902379"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2519/jospt.2002.32.6.248", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070872659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2519/jospt.2012.3584", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070873968"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ptj/80.3.276", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074597753"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/03635465020300041101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075089318"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/03635465020300041101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075089318"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ptj/86.8.1075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077276745"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-07", 
    "datePublishedReg": "2017-07-01", 
    "description": "PURPOSE: The purpose of this study was to evaluate the kinematics of healthy shoulders during dynamic full axial rotation and scapular plane full abduction using three-dimensional (3D)-to-two-dimensional (2D) model-to-image registration techniques.\nMETHODS: Dynamic glenohumeral kinematics during axial rotation and scapular plane abduction were analysed in 10 healthy participants. Continuous radiographic images of axial rotation and scapular plane abduction were taken using a flat panel radiographic detector. The participants received a computed tomography scan to generate virtual digitally reconstructed radiographs. The density-based digitally reconstructed radiographs were then compared with the serial radiographic images acquired using image correlations. These 3D-to-2D model-to-image registration techniques determined the 3D positions and orientations of the humerus and scapula during dynamic full axial rotation and scapular plane full abduction.\nRESULTS: The humeral head centre translated an average of 2.5\u00a0\u00b1\u00a03.1\u00a0mm posteriorly, and 1.4\u00a0\u00b1\u00a01.0\u00a0mm superiorly in the early phase, then an average of 2.0\u00a0\u00b1\u00a00.8\u00a0mm inferiorly in the late phase during external rotation motion. The glenohumeral external rotation angle had a significant effect on the anterior/posterior (A/P) and superior/inferior (S/I) translation of the humeral head centre (both p\u00a0<\u00a00.05). 33.6\u00a0\u00b1\u00a015.6\u00b0 of glenohumeral external rotation occurred during scapular plane abduction. The humeral head centre translated an average of 0.6\u00a0\u00b1\u00a00.9\u00a0mm superiorly in the early phase, then 1.7\u00a0\u00b1\u00a02.6\u00a0mm inferiorly in the late phase, and translated an average of 0.4\u00a0\u00b1\u00a00.5\u00a0mm medially in the early phase, then 1.6\u00a0\u00b1\u00a01.0\u00a0mm laterally in the late phase during scapular plane abduction. The humeral abduction angle had a significant effect on the S/I and lateral/medial (L/M) translation of the humeral head centre (both p\u00a0<\u00a00.05).\nCONCLUSION: This study investigated 3D translations of the humerus relative to the scapula: during scapular plane full abduction, the humerus rotated 33.6\u00b0 externally relative to the scapula, and during external rotation motion in the adducted position, the humeral head centre translated an average of 2.5\u00a0mm posteriorly. Kinematic data will provide important insights into evaluating the kinematics of pathological shoulders. For clinical relevance, quantitative assessment of dynamic healthy shoulder kinematics might be a physiological indicator for the assessment of pathological shoulders.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00167-016-4263-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6107618", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6118802", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1104512", 
        "issn": [
          "0942-2056", 
          "1433-7347"
        ], 
        "name": "Knee Surgery, Sports Traumatology, Arthroscopy", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "7", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "25"
      }
    ], 
    "name": "In vivo kinematic analysis of the glenohumeral joint during dynamic full axial rotation and scapular plane full abduction in healthy shoulders", 
    "pagination": "2032-2040", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "372b60f12ed7158ef9a7490b5ce21ff52a261457ab332bdb2978f5c4a4c3dcc1"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27511218"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9314730"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00167-016-4263-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1011579399"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00167-016-4263-2", 
      "https://app.dimensions.ai/details/publication/pub.1011579399"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:27", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000362_0000000362/records_87117_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00167-016-4263-2"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00167-016-4263-2'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00167-016-4263-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00167-016-4263-2'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00167-016-4263-2'


 

This table displays all metadata directly associated to this object as RDF triples.

303 TRIPLES      21 PREDICATES      78 URIs      33 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00167-016-4263-2 schema:about N01bcfb8bddf44d308f09145162bc17bb
2 N37b054c5ab524d33a9c00b8645f69ed6
3 N47abb5b1ed9647259cc4ae2b1a402720
4 N4a6203daf80e41deab2d4c921e1d7388
5 N50f9eaa67b6848f48d06164159deca01
6 N5f84e9197d0f459e86cb2619b5548f4b
7 N601264460d6e447db07630efea252d18
8 N7511cfdceca143cd91b1424732832f1c
9 N911d564d6e14442d98541f645fc9e8bc
10 N94b89bc1f5f84f98915026b9c31397f8
11 Ncbf3aa2cd46141dfbd1872ef3dd4dbe9
12 Nff1ae118106a4cfdba1d32b580738012
13 anzsrc-for:11
14 anzsrc-for:1103
15 schema:author Nddfbce3496f74367bcf70b988cc5e792
16 schema:citation sg:pub.10.1007/s00256-013-1572-0
17 sg:pub.10.1007/s12194-010-0090-1
18 https://doi.org/10.1002/jor.20208
19 https://doi.org/10.1002/jor.20355
20 https://doi.org/10.1002/jor.22596
21 https://doi.org/10.1016/j.clinbiomech.2005.03.002
22 https://doi.org/10.1016/j.clinbiomech.2014.08.006
23 https://doi.org/10.1016/j.jbiomech.2004.05.020
24 https://doi.org/10.1016/j.jbiomech.2004.05.042
25 https://doi.org/10.1016/j.jbiomech.2007.09.029
26 https://doi.org/10.1016/j.jbiomech.2010.03.028
27 https://doi.org/10.1016/j.jse.2007.05.018
28 https://doi.org/10.1016/j.jse.2008.05.047
29 https://doi.org/10.1016/j.jse.2008.06.003
30 https://doi.org/10.1016/j.jse.2009.02.001
31 https://doi.org/10.1016/j.jse.2010.09.012
32 https://doi.org/10.1016/j.jse.2013.09.005
33 https://doi.org/10.1016/j.jse.2014.07.021
34 https://doi.org/10.1016/j.jse.2015.06.003
35 https://doi.org/10.1016/s0021-9290(99)00209-2
36 https://doi.org/10.1067/mse.2001.112954
37 https://doi.org/10.1093/ptj/80.3.276
38 https://doi.org/10.1093/ptj/86.8.1075
39 https://doi.org/10.1097/00003086-198206000-00021
40 https://doi.org/10.1097/01.blo.0000224019.65540.d5
41 https://doi.org/10.1109/42.929617
42 https://doi.org/10.1148/radiology.212.3.r99se31699
43 https://doi.org/10.1155/2013/717546
44 https://doi.org/10.1155/2014/457573
45 https://doi.org/10.1177/03635465020300041101
46 https://doi.org/10.1177/0363546507300820
47 https://doi.org/10.1177/036354659502300303
48 https://doi.org/10.2106/jbjs.g.01483
49 https://doi.org/10.2106/jbjs.j.01875
50 https://doi.org/10.2519/jospt.2002.32.6.248
51 https://doi.org/10.2519/jospt.2012.3584
52 https://doi.org/10.3109/17453676908989501
53 schema:datePublished 2017-07
54 schema:datePublishedReg 2017-07-01
55 schema:description PURPOSE: The purpose of this study was to evaluate the kinematics of healthy shoulders during dynamic full axial rotation and scapular plane full abduction using three-dimensional (3D)-to-two-dimensional (2D) model-to-image registration techniques. METHODS: Dynamic glenohumeral kinematics during axial rotation and scapular plane abduction were analysed in 10 healthy participants. Continuous radiographic images of axial rotation and scapular plane abduction were taken using a flat panel radiographic detector. The participants received a computed tomography scan to generate virtual digitally reconstructed radiographs. The density-based digitally reconstructed radiographs were then compared with the serial radiographic images acquired using image correlations. These 3D-to-2D model-to-image registration techniques determined the 3D positions and orientations of the humerus and scapula during dynamic full axial rotation and scapular plane full abduction. RESULTS: The humeral head centre translated an average of 2.5 ± 3.1 mm posteriorly, and 1.4 ± 1.0 mm superiorly in the early phase, then an average of 2.0 ± 0.8 mm inferiorly in the late phase during external rotation motion. The glenohumeral external rotation angle had a significant effect on the anterior/posterior (A/P) and superior/inferior (S/I) translation of the humeral head centre (both p < 0.05). 33.6 ± 15.6° of glenohumeral external rotation occurred during scapular plane abduction. The humeral head centre translated an average of 0.6 ± 0.9 mm superiorly in the early phase, then 1.7 ± 2.6 mm inferiorly in the late phase, and translated an average of 0.4 ± 0.5 mm medially in the early phase, then 1.6 ± 1.0 mm laterally in the late phase during scapular plane abduction. The humeral abduction angle had a significant effect on the S/I and lateral/medial (L/M) translation of the humeral head centre (both p < 0.05). CONCLUSION: This study investigated 3D translations of the humerus relative to the scapula: during scapular plane full abduction, the humerus rotated 33.6° externally relative to the scapula, and during external rotation motion in the adducted position, the humeral head centre translated an average of 2.5 mm posteriorly. Kinematic data will provide important insights into evaluating the kinematics of pathological shoulders. For clinical relevance, quantitative assessment of dynamic healthy shoulder kinematics might be a physiological indicator for the assessment of pathological shoulders.
56 schema:genre research_article
57 schema:inLanguage en
58 schema:isAccessibleForFree false
59 schema:isPartOf N2f05a539586948b0abf5f99c32c6bb07
60 Nee04ea7ce2e34ccd98d6a1ad91b5f2e3
61 sg:journal.1104512
62 schema:name In vivo kinematic analysis of the glenohumeral joint during dynamic full axial rotation and scapular plane full abduction in healthy shoulders
63 schema:pagination 2032-2040
64 schema:productId N08422c8234cd4d6ab1e6734a1c460b21
65 N53c0e14f953a4588a47815ce3465ccfb
66 Naa54f27a124b4df6bda5400bfdb32169
67 Nc8602bb74574423588d93ab335df1df6
68 Nf58266014931429ba5598fd5f515762c
69 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011579399
70 https://doi.org/10.1007/s00167-016-4263-2
71 schema:sdDatePublished 2019-04-11T12:27
72 schema:sdLicense https://scigraph.springernature.com/explorer/license/
73 schema:sdPublisher N0f5fda9fcc024a04a3df9254993c2bbd
74 schema:url https://link.springer.com/10.1007%2Fs00167-016-4263-2
75 sgo:license sg:explorer/license/
76 sgo:sdDataset articles
77 rdf:type schema:ScholarlyArticle
78 N01bcfb8bddf44d308f09145162bc17bb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Adult
80 rdf:type schema:DefinedTerm
81 N08422c8234cd4d6ab1e6734a1c460b21 schema:name doi
82 schema:value 10.1007/s00167-016-4263-2
83 rdf:type schema:PropertyValue
84 N0f5fda9fcc024a04a3df9254993c2bbd schema:name Springer Nature - SN SciGraph project
85 rdf:type schema:Organization
86 N1884651620104b8191a826610769e453 rdf:first sg:person.01110066276.25
87 rdf:rest rdf:nil
88 N189ce3d2bd3a47489fa0f76dade2f89f rdf:first sg:person.01012707165.44
89 rdf:rest N5de582621b67453094c42ff48a210c1c
90 N1dc44e2f7b3f450191e887a54e264fad rdf:first sg:person.01033640371.76
91 rdf:rest N189ce3d2bd3a47489fa0f76dade2f89f
92 N237b26511f2840df88ea2a568661101d rdf:first sg:person.0650124167.82
93 rdf:rest N1884651620104b8191a826610769e453
94 N2f05a539586948b0abf5f99c32c6bb07 schema:volumeNumber 25
95 rdf:type schema:PublicationVolume
96 N37b054c5ab524d33a9c00b8645f69ed6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Healthy Volunteers
98 rdf:type schema:DefinedTerm
99 N42b47dc27c1848719b1b8f0fd8612e10 rdf:first sg:person.0771146077.34
100 rdf:rest N5c2adccb840449099578a5242f027c21
101 N47abb5b1ed9647259cc4ae2b1a402720 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Biomechanical Phenomena
103 rdf:type schema:DefinedTerm
104 N4a6203daf80e41deab2d4c921e1d7388 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Young Adult
106 rdf:type schema:DefinedTerm
107 N50f9eaa67b6848f48d06164159deca01 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Imaging, Three-Dimensional
109 rdf:type schema:DefinedTerm
110 N53c0e14f953a4588a47815ce3465ccfb schema:name dimensions_id
111 schema:value pub.1011579399
112 rdf:type schema:PropertyValue
113 N5c2adccb840449099578a5242f027c21 rdf:first sg:person.01161525504.49
114 rdf:rest N1dc44e2f7b3f450191e887a54e264fad
115 N5de582621b67453094c42ff48a210c1c rdf:first sg:person.01000760630.97
116 rdf:rest Nce7c1321f08e42c68ba80489e40e433f
117 N5f84e9197d0f459e86cb2619b5548f4b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Range of Motion, Articular
119 rdf:type schema:DefinedTerm
120 N601264460d6e447db07630efea252d18 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Male
122 rdf:type schema:DefinedTerm
123 N7511cfdceca143cd91b1424732832f1c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Female
125 rdf:type schema:DefinedTerm
126 N7aeff47a48084535bfbf4f484019eafd rdf:first sg:person.01170033226.54
127 rdf:rest N237b26511f2840df88ea2a568661101d
128 N911d564d6e14442d98541f645fc9e8bc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Humans
130 rdf:type schema:DefinedTerm
131 N94b89bc1f5f84f98915026b9c31397f8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Rotation
133 rdf:type schema:DefinedTerm
134 Naa54f27a124b4df6bda5400bfdb32169 schema:name readcube_id
135 schema:value 372b60f12ed7158ef9a7490b5ce21ff52a261457ab332bdb2978f5c4a4c3dcc1
136 rdf:type schema:PropertyValue
137 Nc8602bb74574423588d93ab335df1df6 schema:name pubmed_id
138 schema:value 27511218
139 rdf:type schema:PropertyValue
140 Ncbf3aa2cd46141dfbd1872ef3dd4dbe9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Tomography, X-Ray Computed
142 rdf:type schema:DefinedTerm
143 Nce7c1321f08e42c68ba80489e40e433f rdf:first sg:person.0744573765.26
144 rdf:rest N7aeff47a48084535bfbf4f484019eafd
145 Nddfbce3496f74367bcf70b988cc5e792 rdf:first sg:person.012375541705.51
146 rdf:rest N42b47dc27c1848719b1b8f0fd8612e10
147 Nee04ea7ce2e34ccd98d6a1ad91b5f2e3 schema:issueNumber 7
148 rdf:type schema:PublicationIssue
149 Nf58266014931429ba5598fd5f515762c schema:name nlm_unique_id
150 schema:value 9314730
151 rdf:type schema:PropertyValue
152 Nff1ae118106a4cfdba1d32b580738012 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Shoulder Joint
154 rdf:type schema:DefinedTerm
155 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
156 schema:name Medical and Health Sciences
157 rdf:type schema:DefinedTerm
158 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
159 schema:name Clinical Sciences
160 rdf:type schema:DefinedTerm
161 sg:grant.6107618 http://pending.schema.org/fundedItem sg:pub.10.1007/s00167-016-4263-2
162 rdf:type schema:MonetaryGrant
163 sg:grant.6118802 http://pending.schema.org/fundedItem sg:pub.10.1007/s00167-016-4263-2
164 rdf:type schema:MonetaryGrant
165 sg:journal.1104512 schema:issn 0942-2056
166 1433-7347
167 schema:name Knee Surgery, Sports Traumatology, Arthroscopy
168 rdf:type schema:Periodical
169 sg:person.01000760630.97 schema:affiliation https://www.grid.ac/institutes/grid.411241.3
170 schema:familyName Ikebe
171 schema:givenName Satoru
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01000760630.97
173 rdf:type schema:Person
174 sg:person.01012707165.44 schema:affiliation https://www.grid.ac/institutes/grid.411241.3
175 schema:familyName Higaki
176 schema:givenName Hidehiko
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012707165.44
178 rdf:type schema:Person
179 sg:person.01033640371.76 schema:affiliation https://www.grid.ac/institutes/grid.177174.3
180 schema:familyName Hamai
181 schema:givenName Satoshi
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033640371.76
183 rdf:type schema:Person
184 sg:person.01110066276.25 schema:affiliation https://www.grid.ac/institutes/grid.177174.3
185 schema:familyName Iwamoto
186 schema:givenName Yukihide
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01110066276.25
188 rdf:type schema:Person
189 sg:person.01161525504.49 schema:affiliation https://www.grid.ac/institutes/grid.177174.3
190 schema:familyName Takeuchi
191 schema:givenName Naohide
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01161525504.49
193 rdf:type schema:Person
194 sg:person.01170033226.54 schema:affiliation https://www.grid.ac/institutes/grid.177174.3
195 schema:familyName Miake
196 schema:givenName Go
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01170033226.54
198 rdf:type schema:Person
199 sg:person.012375541705.51 schema:affiliation https://www.grid.ac/institutes/grid.177174.3
200 schema:familyName Kozono
201 schema:givenName Naoya
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012375541705.51
203 rdf:type schema:Person
204 sg:person.0650124167.82 schema:affiliation https://www.grid.ac/institutes/grid.177174.3
205 schema:familyName Nakanishi
206 schema:givenName Yoshitaka
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650124167.82
208 rdf:type schema:Person
209 sg:person.0744573765.26 schema:affiliation https://www.grid.ac/institutes/grid.418051.9
210 schema:familyName Shimoto
211 schema:givenName Takeshi
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0744573765.26
213 rdf:type schema:Person
214 sg:person.0771146077.34 schema:affiliation https://www.grid.ac/institutes/grid.177174.3
215 schema:familyName Okada
216 schema:givenName Takamitsu
217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771146077.34
218 rdf:type schema:Person
219 sg:pub.10.1007/s00256-013-1572-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006559019
220 https://doi.org/10.1007/s00256-013-1572-0
221 rdf:type schema:CreativeWork
222 sg:pub.10.1007/s12194-010-0090-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041953995
223 https://doi.org/10.1007/s12194-010-0090-1
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1002/jor.20208 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034799926
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1002/jor.20355 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023990116
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1002/jor.22596 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035477112
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1016/j.clinbiomech.2005.03.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028653050
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1016/j.clinbiomech.2014.08.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016789260
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1016/j.jbiomech.2004.05.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001826030
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1016/j.jbiomech.2004.05.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017101044
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1016/j.jbiomech.2007.09.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035625925
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1016/j.jbiomech.2010.03.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015823006
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1016/j.jse.2007.05.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005466076
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1016/j.jse.2008.05.047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002409933
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1016/j.jse.2008.06.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005326458
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1016/j.jse.2009.02.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030475684
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1016/j.jse.2010.09.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017155182
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1016/j.jse.2013.09.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040387672
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1016/j.jse.2014.07.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009748782
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1016/j.jse.2015.06.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007006110
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1016/s0021-9290(99)00209-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003461562
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1067/mse.2001.112954 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022057843
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1093/ptj/80.3.276 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074597753
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1093/ptj/86.8.1075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077276745
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1097/00003086-198206000-00021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060159808
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1097/01.blo.0000224019.65540.d5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008388201
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1109/42.929617 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061171046
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1148/radiology.212.3.r99se31699 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051389513
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1155/2013/717546 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034814935
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1155/2014/457573 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024745031
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1177/03635465020300041101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075089318
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1177/0363546507300820 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063820866
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1177/036354659502300303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063825100
284 rdf:type schema:CreativeWork
285 https://doi.org/10.2106/jbjs.g.01483 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068900779
286 rdf:type schema:CreativeWork
287 https://doi.org/10.2106/jbjs.j.01875 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068902379
288 rdf:type schema:CreativeWork
289 https://doi.org/10.2519/jospt.2002.32.6.248 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070872659
290 rdf:type schema:CreativeWork
291 https://doi.org/10.2519/jospt.2012.3584 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070873968
292 rdf:type schema:CreativeWork
293 https://doi.org/10.3109/17453676908989501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048255067
294 rdf:type schema:CreativeWork
295 https://www.grid.ac/institutes/grid.177174.3 schema:alternateName Kyushu University
296 schema:name Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, 812-8582, Fukuoka City, Fukuoka, Japan
297 rdf:type schema:Organization
298 https://www.grid.ac/institutes/grid.411241.3 schema:alternateName Kyushu Sangyo University
299 schema:name Department of Biorobotics, Faculty of Engineering, Kyushu Sangyo University, 2-3-1, Matsukadai, Higashi-ku, 813-8503, Fukuoka City, Fukuoka, Japan
300 rdf:type schema:Organization
301 https://www.grid.ac/institutes/grid.418051.9 schema:alternateName Fukuoka Institute of Technology
302 schema:name Department of Information and System Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-higashi, Higashi-ku, 811-0295, Fukuoka City, Fukuoka, Japan
303 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...