Vertebral Strength Changes as Assessed by Finite Element Analysis View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2016

AUTHORS

Taro Mawatari , Satoshi Ikemura , Yukihide Iwamoto

ABSTRACT

Currently available surrogate markers of osteoporosis including areal bone mineral density (aBMD) measured by dual energy absorptiometry (DXA), bone turnover markers (BTMs), and fracture risk assessment tool (FRAX®) are limited for the use as targets, because those values are not directly reflecting bone strength. Because directly measuring the strength of any bone in a living human subject is not feasible, the combination of finite element analysis (FEA) and clinical computed tomography (CT) is an alternative and powerful technique for noninvasive assessment of whole bone strength. While there are several limitations including the radiation exposure, FEA has the potential to improve clinical assessment of osteoporosis. In this chapter, methodology and recent advances of FEA in this field including treatment efficacy assessment and fracture risk assessment are presented. More... »

PAGES

81-99

Book

TITLE

Osteoporosis in Orthopedics

ISBN

978-4-431-55777-7
978-4-431-55778-4

Author Affiliations

From Grant

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-4-431-55778-4_5

DOI

http://dx.doi.org/10.1007/978-4-431-55778-4_5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1043137068


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Kyushu University", 
          "id": "https://www.grid.ac/institutes/grid.177174.3", 
          "name": [
            "Department of Orthopaedic Surgery, Hamanomachi Hospital", 
            "Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mawatari", 
        "givenName": "Taro", 
        "id": "sg:person.0660307425.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660307425.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Orthopaedic Surgery, Hamanomachi Hospital"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ikemura", 
        "givenName": "Satoshi", 
        "id": "sg:person.01153236525.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01153236525.30"
        ], 
        "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"
          ], 
          "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/10.1002/art.23988", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000581352"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1749-6632.2009.05348.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003646019"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1749-6632.2009.05348.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003646019"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00198-011-1568-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004832323", 
          "https://doi.org/10.1007/s00198-011-1568-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s8756-3282(03)00210-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005821999"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s8756-3282(03)00210-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005821999"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.brs.0000225993.57349.df", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006063457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.brs.0000225993.57349.df", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006063457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bonekey.2013.120", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006256068", 
          "https://doi.org/10.1038/bonekey.2013.120"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.1539", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010523149"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1359/jbmr.061011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011481001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.1853", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013839320"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00198-014-2787-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020892121", 
          "https://doi.org/10.1007/s00198-014-2787-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.1644", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024562622"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci71101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027427593"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1359/jbmr.090416", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027764512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00198-009-1066-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031083276", 
          "https://doi.org/10.1007/s00198-009-1066-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00198-009-1066-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031083276", 
          "https://doi.org/10.1007/s00198-009-1066-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00198-009-1066-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031083276", 
          "https://doi.org/10.1007/s00198-009-1066-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.2069", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033647050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.1870", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040480062"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00198-008-0750-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041963729", 
          "https://doi.org/10.1007/s00198-008-0750-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00198-008-0750-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041963729", 
          "https://doi.org/10.1007/s00198-008-0750-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.2024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048544219"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1359/jbmr.070728", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051853005"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2008-1807", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064290952"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2012-2972", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064293839"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016", 
    "datePublishedReg": "2016-01-01", 
    "description": "Currently available surrogate markers of osteoporosis including areal bone mineral density (aBMD) measured by dual energy absorptiometry (DXA), bone turnover markers (BTMs), and fracture risk assessment tool (FRAX\u00ae) are limited for the use as targets, because those values are not directly reflecting bone strength. Because directly measuring the strength of any bone in a living human subject is not feasible, the combination of finite element analysis (FEA) and clinical computed tomography (CT) is an alternative and powerful technique for noninvasive assessment of whole bone strength. While there are several limitations including the radiation exposure, FEA has the potential to improve clinical assessment of osteoporosis. In this chapter, methodology and recent advances of FEA in this field including treatment efficacy assessment and fracture risk assessment are presented.", 
    "editor": [
      {
        "familyName": "Shimada", 
        "givenName": "Yoichi", 
        "type": "Person"
      }, 
      {
        "familyName": "Miyakoshi", 
        "givenName": "Naohisa", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-4-431-55778-4_5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6094829", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": {
      "isbn": [
        "978-4-431-55777-7", 
        "978-4-431-55778-4"
      ], 
      "name": "Osteoporosis in Orthopedics", 
      "type": "Book"
    }, 
    "name": "Vertebral Strength Changes as Assessed by Finite Element Analysis", 
    "pagination": "81-99", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-4-431-55778-4_5"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "cd7a0ca5e22706b7e19501c1eb4085177fd93b004a0df503e9e91f1d7c820de7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1043137068"
        ]
      }
    ], 
    "publisher": {
      "location": "Tokyo", 
      "name": "Springer Japan", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-4-431-55778-4_5", 
      "https://app.dimensions.ai/details/publication/pub.1043137068"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T11:37", 
    "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/v90/0000000001_0000000264/records_8660_00000270.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-4-431-55778-4_5"
  }
]
 

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.10.1007/978-4-431-55778-4_5'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-4-431-55778-4_5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-4-431-55778-4_5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-4-431-55778-4_5'


 

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

157 TRIPLES      23 PREDICATES      48 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-4-431-55778-4_5 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author Nfff6cf2d37044088aea865ee975ff4ae
4 schema:citation sg:pub.10.1007/s00198-008-0750-8
5 sg:pub.10.1007/s00198-009-1066-z
6 sg:pub.10.1007/s00198-011-1568-3
7 sg:pub.10.1007/s00198-014-2787-1
8 sg:pub.10.1038/bonekey.2013.120
9 https://doi.org/10.1002/art.23988
10 https://doi.org/10.1002/jbmr.1539
11 https://doi.org/10.1002/jbmr.1644
12 https://doi.org/10.1002/jbmr.1853
13 https://doi.org/10.1002/jbmr.1870
14 https://doi.org/10.1002/jbmr.2024
15 https://doi.org/10.1002/jbmr.2069
16 https://doi.org/10.1016/s8756-3282(03)00210-2
17 https://doi.org/10.1097/01.brs.0000225993.57349.df
18 https://doi.org/10.1111/j.1749-6632.2009.05348.x
19 https://doi.org/10.1172/jci71101
20 https://doi.org/10.1210/jc.2008-1807
21 https://doi.org/10.1210/jc.2012-2972
22 https://doi.org/10.1359/jbmr.061011
23 https://doi.org/10.1359/jbmr.070728
24 https://doi.org/10.1359/jbmr.090416
25 schema:datePublished 2016
26 schema:datePublishedReg 2016-01-01
27 schema:description Currently available surrogate markers of osteoporosis including areal bone mineral density (aBMD) measured by dual energy absorptiometry (DXA), bone turnover markers (BTMs), and fracture risk assessment tool (FRAX®) are limited for the use as targets, because those values are not directly reflecting bone strength. Because directly measuring the strength of any bone in a living human subject is not feasible, the combination of finite element analysis (FEA) and clinical computed tomography (CT) is an alternative and powerful technique for noninvasive assessment of whole bone strength. While there are several limitations including the radiation exposure, FEA has the potential to improve clinical assessment of osteoporosis. In this chapter, methodology and recent advances of FEA in this field including treatment efficacy assessment and fracture risk assessment are presented.
28 schema:editor Nd2da95bd90814759af02bc15aedbfef2
29 schema:genre chapter
30 schema:inLanguage en
31 schema:isAccessibleForFree false
32 schema:isPartOf Nc15d586932ef4494b7e9f7a6b79ed46c
33 schema:name Vertebral Strength Changes as Assessed by Finite Element Analysis
34 schema:pagination 81-99
35 schema:productId N37f2b402764340edb809ddb9f20bd780
36 N5ec40a5b768b49d786d956012cb74e1d
37 N8561a0c3b1084376a348de7a5fbe6d67
38 schema:publisher Nd72cb0a4f6f44d719c19baf93e63be9a
39 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043137068
40 https://doi.org/10.1007/978-4-431-55778-4_5
41 schema:sdDatePublished 2019-04-15T11:37
42 schema:sdLicense https://scigraph.springernature.com/explorer/license/
43 schema:sdPublisher Nfaaa90cbc1964b9aa182183bb3384635
44 schema:url http://link.springer.com/10.1007/978-4-431-55778-4_5
45 sgo:license sg:explorer/license/
46 sgo:sdDataset chapters
47 rdf:type schema:Chapter
48 N37f2b402764340edb809ddb9f20bd780 schema:name readcube_id
49 schema:value cd7a0ca5e22706b7e19501c1eb4085177fd93b004a0df503e9e91f1d7c820de7
50 rdf:type schema:PropertyValue
51 N5ec40a5b768b49d786d956012cb74e1d schema:name dimensions_id
52 schema:value pub.1043137068
53 rdf:type schema:PropertyValue
54 N6100e7ad88ea4f5ab491051e0b6afb2e rdf:first sg:person.01110066276.25
55 rdf:rest rdf:nil
56 N6d1624d8e9f746b0b55602e6730e7646 schema:familyName Shimada
57 schema:givenName Yoichi
58 rdf:type schema:Person
59 N8561a0c3b1084376a348de7a5fbe6d67 schema:name doi
60 schema:value 10.1007/978-4-431-55778-4_5
61 rdf:type schema:PropertyValue
62 N8e0bad794e0a41efb5f111ed74f2ed46 schema:name Department of Orthopaedic Surgery, Hamanomachi Hospital
63 rdf:type schema:Organization
64 N992698df4dfb41bc8b1e851cb1eae981 rdf:first Nb7c8213da4724b859efff5cfd8b3eabf
65 rdf:rest rdf:nil
66 Nb7c8213da4724b859efff5cfd8b3eabf schema:familyName Miyakoshi
67 schema:givenName Naohisa
68 rdf:type schema:Person
69 Nc15d586932ef4494b7e9f7a6b79ed46c schema:isbn 978-4-431-55777-7
70 978-4-431-55778-4
71 schema:name Osteoporosis in Orthopedics
72 rdf:type schema:Book
73 Nd18d57bf0cb64acfa050fc5ab97a8603 rdf:first sg:person.01153236525.30
74 rdf:rest N6100e7ad88ea4f5ab491051e0b6afb2e
75 Nd2da95bd90814759af02bc15aedbfef2 rdf:first N6d1624d8e9f746b0b55602e6730e7646
76 rdf:rest N992698df4dfb41bc8b1e851cb1eae981
77 Nd72cb0a4f6f44d719c19baf93e63be9a schema:location Tokyo
78 schema:name Springer Japan
79 rdf:type schema:Organisation
80 Nfaaa90cbc1964b9aa182183bb3384635 schema:name Springer Nature - SN SciGraph project
81 rdf:type schema:Organization
82 Nfff6cf2d37044088aea865ee975ff4ae rdf:first sg:person.0660307425.41
83 rdf:rest Nd18d57bf0cb64acfa050fc5ab97a8603
84 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
85 schema:name Medical and Health Sciences
86 rdf:type schema:DefinedTerm
87 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
88 schema:name Clinical Sciences
89 rdf:type schema:DefinedTerm
90 sg:grant.6094829 http://pending.schema.org/fundedItem sg:pub.10.1007/978-4-431-55778-4_5
91 rdf:type schema:MonetaryGrant
92 sg:person.01110066276.25 schema:affiliation https://www.grid.ac/institutes/grid.177174.3
93 schema:familyName Iwamoto
94 schema:givenName Yukihide
95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01110066276.25
96 rdf:type schema:Person
97 sg:person.01153236525.30 schema:affiliation N8e0bad794e0a41efb5f111ed74f2ed46
98 schema:familyName Ikemura
99 schema:givenName Satoshi
100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01153236525.30
101 rdf:type schema:Person
102 sg:person.0660307425.41 schema:affiliation https://www.grid.ac/institutes/grid.177174.3
103 schema:familyName Mawatari
104 schema:givenName Taro
105 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660307425.41
106 rdf:type schema:Person
107 sg:pub.10.1007/s00198-008-0750-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041963729
108 https://doi.org/10.1007/s00198-008-0750-8
109 rdf:type schema:CreativeWork
110 sg:pub.10.1007/s00198-009-1066-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1031083276
111 https://doi.org/10.1007/s00198-009-1066-z
112 rdf:type schema:CreativeWork
113 sg:pub.10.1007/s00198-011-1568-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004832323
114 https://doi.org/10.1007/s00198-011-1568-3
115 rdf:type schema:CreativeWork
116 sg:pub.10.1007/s00198-014-2787-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020892121
117 https://doi.org/10.1007/s00198-014-2787-1
118 rdf:type schema:CreativeWork
119 sg:pub.10.1038/bonekey.2013.120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006256068
120 https://doi.org/10.1038/bonekey.2013.120
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1002/art.23988 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000581352
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1002/jbmr.1539 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010523149
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1002/jbmr.1644 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024562622
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1002/jbmr.1853 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013839320
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1002/jbmr.1870 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040480062
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1002/jbmr.2024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048544219
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1002/jbmr.2069 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033647050
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/s8756-3282(03)00210-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005821999
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1097/01.brs.0000225993.57349.df schema:sameAs https://app.dimensions.ai/details/publication/pub.1006063457
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1111/j.1749-6632.2009.05348.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1003646019
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1172/jci71101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027427593
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1210/jc.2008-1807 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064290952
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1210/jc.2012-2972 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064293839
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1359/jbmr.061011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011481001
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1359/jbmr.070728 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051853005
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1359/jbmr.090416 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027764512
153 rdf:type schema:CreativeWork
154 https://www.grid.ac/institutes/grid.177174.3 schema:alternateName Kyushu University
155 schema:name Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University
156 Department of Orthopaedic Surgery, Hamanomachi Hospital
157 rdf:type schema:Organization
 




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


...