Quantitative Assessment of Osteoarthritic Knee Instability: Comparison with Conventional Imaging Modalities View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019

AUTHORS

V. K. O. Virtanen , J. Thevenot , A. Tiulpin , J. Hirvasniemi , J. Niinimäki , M. Nevalainen , S. Saarakkala

ABSTRACT

Knee osteoarthritis (OA) is the most common musculoskeletal disorder affecting all populations. One common knee OA symptom is instability; thus its assessment could allow diagnosing and following-up of the disease without using conventional imaging techniques, such as plain radiography or magnetic resonance imaging (MRI). Knee kinematic measurements using accelerometers could provide a low-cost and non-invasive option to quantify knee instability. The aim of this study was to assess the relationships between kinematic data, instability parameters derived from the imaging techniques, goniometer-based measurements, and radiological OA stage. The right knees of 66 females (44–67 years) were examined using MRI, plain radiography, and goniometer-based angle measurement. Kellgren–Lawrence (KL) grade and the joint line convergence angle (JLCA) were determined from the radiographs. Cartilage thickness and OA score (MOAKS) were derived from the MRI. A ratio between lateral and medial cartilage thicknesses was calculated from the average thickness of segmented cartilage over the weight bearing area (MRIratio). Accelerometers attached to thigh and shank were used to record kinematic signals during a one-leg-stand test. Power of the accelerometer signals along the anatomical longitudinal axis (Pacc) was used as a measure of knee instability. Finally, Spearman’s correlations between the acquired parameters and KL grade/MOAKS scores were calculated. Leave-one-out cross-validation and logistic regression were used to discriminate OA subjects (KL ≥ 2). All the instability parameters (Pacc, JLCA and MRIratio), except the goniometer angle, showed significant correlations with KL grading (rho = 0.32–0.64, p < 0.01) and MOAKS composite score (rho = 0.35–0.56, p < 0.01). Both Pacc and JLCA showed higher areas under the ROC curve to discriminate OA (AUC = 0.76 and AUC = 0.78) than MRIratio and goniometer angle (AUC = 0.55 and AUC = 0.56). Our results demonstrate the clinical potential of kinematic knee instability measurements using low-cost accelerometers. Such approach could become a potential new tool in OA diagnostics. More... »

PAGES

703-708

Book

TITLE

World Congress on Medical Physics and Biomedical Engineering 2018

ISBN

978-981-10-9037-0
978-981-10-9038-7

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-981-10-9038-7_130

DOI

http://dx.doi.org/10.1007/978-981-10-9038-7_130

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1104269237


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": "University of Oulu", 
          "id": "https://www.grid.ac/institutes/grid.10858.34", 
          "name": [
            "University of Oulu"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Virtanen", 
        "givenName": "V. K. O.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Oulu", 
          "id": "https://www.grid.ac/institutes/grid.10858.34", 
          "name": [
            "University of Oulu"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Thevenot", 
        "givenName": "J.", 
        "id": "sg:person.01064522243.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01064522243.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Oulu", 
          "id": "https://www.grid.ac/institutes/grid.10858.34", 
          "name": [
            "University of Oulu"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tiulpin", 
        "givenName": "A.", 
        "id": "sg:person.010522007431.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010522007431.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Oulu", 
          "id": "https://www.grid.ac/institutes/grid.10858.34", 
          "name": [
            "University of Oulu"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hirvasniemi", 
        "givenName": "J.", 
        "id": "sg:person.01141520574.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141520574.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Oulu University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412326.0", 
          "name": [
            "University of Oulu", 
            "Oulu University Hospital"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Niinim\u00e4ki", 
        "givenName": "J.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Oulu University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412326.0", 
          "name": [
            "University of Oulu", 
            "Oulu University Hospital"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nevalainen", 
        "givenName": "M.", 
        "id": "sg:person.0754365632.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754365632.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Oulu University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412326.0", 
          "name": [
            "University of Oulu", 
            "Oulu University Hospital"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Saarakkala", 
        "givenName": "S.", 
        "id": "sg:person.0670475535.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0670475535.39"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.joca.2011.05.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001947488"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00167-011-1818-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003964290", 
          "https://doi.org/10.1007/s00167-011-1818-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbspin.2009.12.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006453617"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/annrheumdis-2011-201070", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007102795"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10237-009-0169-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011904825", 
          "https://doi.org/10.1007/s10237-009-0169-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10237-009-0169-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011904825", 
          "https://doi.org/10.1007/s10237-009-0169-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10237-009-0169-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011904825", 
          "https://doi.org/10.1007/s10237-009-0169-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11999-015-4349-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022348771", 
          "https://doi.org/10.1007/s11999-015-4349-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1007/s11999-015-4349-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022348771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.semarthrit.2013.07.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026846779"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/ar3488", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030001218", 
          "https://doi.org/10.1186/ar3488"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4137/cmamd.s22147", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036373476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/ard.16.4.494", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052069859"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0363546507307396", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052930196"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0363546507307396", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052930196"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-0036-1592149", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057366133"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.m.01209", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068903640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.m.01209", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068903640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.m.01209", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068903640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4038/cmj.v62i3.8520", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091995789"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4038/cmj.v62i3.8520", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091995789"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019", 
    "datePublishedReg": "2019-01-01", 
    "description": "Knee osteoarthritis (OA) is the most common musculoskeletal disorder affecting all populations. One common knee OA symptom is instability; thus its assessment could allow diagnosing and following-up of the disease without using conventional imaging techniques, such as plain radiography or magnetic resonance imaging (MRI). Knee kinematic measurements using accelerometers could provide a low-cost and non-invasive option to quantify knee instability. The aim of this study was to assess the relationships between kinematic data, instability parameters derived from the imaging techniques, goniometer-based measurements, and radiological OA stage. The right knees of 66 females (44\u201367 years) were examined using MRI, plain radiography, and goniometer-based angle measurement. Kellgren\u2013Lawrence (KL) grade and the joint line convergence angle (JLCA) were determined from the radiographs. Cartilage thickness and OA score (MOAKS) were derived from the MRI. A ratio between lateral and medial cartilage thicknesses was calculated from the average thickness of segmented cartilage over the weight bearing area (MRIratio). Accelerometers attached to thigh and shank were used to record kinematic signals during a one-leg-stand test. Power of the accelerometer signals along the anatomical longitudinal axis (Pacc) was used as a measure of knee instability. Finally, Spearman\u2019s correlations between the acquired parameters and KL grade/MOAKS scores were calculated. Leave-one-out cross-validation and logistic regression were used to discriminate OA subjects (KL \u2265 2). All the instability parameters (Pacc, JLCA and MRIratio), except the goniometer angle, showed significant correlations with KL grading (rho = 0.32\u20130.64, p < 0.01) and MOAKS composite score (rho = 0.35\u20130.56, p < 0.01). Both Pacc and JLCA showed higher areas under the ROC curve to discriminate OA (AUC = 0.76 and AUC = 0.78) than MRIratio and goniometer angle (AUC = 0.55 and AUC = 0.56). Our results demonstrate the clinical potential of kinematic knee instability measurements using low-cost accelerometers. Such approach could become a potential new tool in OA diagnostics.", 
    "editor": [
      {
        "familyName": "Lhotska", 
        "givenName": "Lenka", 
        "type": "Person"
      }, 
      {
        "familyName": "Sukupova", 
        "givenName": "Lucie", 
        "type": "Person"
      }, 
      {
        "familyName": "Lackovi\u0107", 
        "givenName": "Igor", 
        "type": "Person"
      }, 
      {
        "familyName": "Ibbott", 
        "givenName": "Geoffrey S.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-981-10-9038-7_130", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-981-10-9037-0", 
        "978-981-10-9038-7"
      ], 
      "name": "World Congress on Medical Physics and Biomedical Engineering 2018", 
      "type": "Book"
    }, 
    "name": "Quantitative Assessment of Osteoarthritic Knee Instability: Comparison with Conventional Imaging Modalities", 
    "pagination": "703-708", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-981-10-9038-7_130"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e8a2cbb442e13e64477dddf65b59d3173606d45d78afbceaa00fad3c46e8196e"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1104269237"
        ]
      }
    ], 
    "publisher": {
      "location": "Singapore", 
      "name": "Springer Singapore", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-981-10-9038-7_130", 
      "https://app.dimensions.ai/details/publication/pub.1104269237"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T23:15", 
    "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_8695_00000435.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-981-10-9038-7_130"
  }
]
 

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.10.1007/978-981-10-9038-7_130'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-981-10-9038-7_130'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-981-10-9038-7_130'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-981-10-9038-7_130'


 

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

173 TRIPLES      23 PREDICATES      42 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-981-10-9038-7_130 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author N17989b1641024ad4b3ebd6f3ffd9e557
4 schema:citation sg:pub.10.1007/s00167-011-1818-0
5 sg:pub.10.1007/s10237-009-0169-y
6 sg:pub.10.1007/s11999-015-4349-z
7 sg:pub.10.1186/ar3488
8 https://doi.org/10.1007/s11999-015-4349-z
9 https://doi.org/10.1016/j.jbspin.2009.12.009
10 https://doi.org/10.1016/j.joca.2011.05.004
11 https://doi.org/10.1016/j.semarthrit.2013.07.003
12 https://doi.org/10.1055/s-0036-1592149
13 https://doi.org/10.1136/annrheumdis-2011-201070
14 https://doi.org/10.1136/ard.16.4.494
15 https://doi.org/10.1177/0363546507307396
16 https://doi.org/10.2106/jbjs.m.01209
17 https://doi.org/10.4038/cmj.v62i3.8520
18 https://doi.org/10.4137/cmamd.s22147
19 schema:datePublished 2019
20 schema:datePublishedReg 2019-01-01
21 schema:description Knee osteoarthritis (OA) is the most common musculoskeletal disorder affecting all populations. One common knee OA symptom is instability; thus its assessment could allow diagnosing and following-up of the disease without using conventional imaging techniques, such as plain radiography or magnetic resonance imaging (MRI). Knee kinematic measurements using accelerometers could provide a low-cost and non-invasive option to quantify knee instability. The aim of this study was to assess the relationships between kinematic data, instability parameters derived from the imaging techniques, goniometer-based measurements, and radiological OA stage. The right knees of 66 females (44–67 years) were examined using MRI, plain radiography, and goniometer-based angle measurement. Kellgren–Lawrence (KL) grade and the joint line convergence angle (JLCA) were determined from the radiographs. Cartilage thickness and OA score (MOAKS) were derived from the MRI. A ratio between lateral and medial cartilage thicknesses was calculated from the average thickness of segmented cartilage over the weight bearing area (MRIratio). Accelerometers attached to thigh and shank were used to record kinematic signals during a one-leg-stand test. Power of the accelerometer signals along the anatomical longitudinal axis (Pacc) was used as a measure of knee instability. Finally, Spearman’s correlations between the acquired parameters and KL grade/MOAKS scores were calculated. Leave-one-out cross-validation and logistic regression were used to discriminate OA subjects (KL ≥ 2). All the instability parameters (Pacc, JLCA and MRIratio), except the goniometer angle, showed significant correlations with KL grading (rho = 0.32–0.64, p < 0.01) and MOAKS composite score (rho = 0.35–0.56, p < 0.01). Both Pacc and JLCA showed higher areas under the ROC curve to discriminate OA (AUC = 0.76 and AUC = 0.78) than MRIratio and goniometer angle (AUC = 0.55 and AUC = 0.56). Our results demonstrate the clinical potential of kinematic knee instability measurements using low-cost accelerometers. Such approach could become a potential new tool in OA diagnostics.
22 schema:editor N273d4c629da9433ea2bdd7037342ef44
23 schema:genre chapter
24 schema:inLanguage en
25 schema:isAccessibleForFree false
26 schema:isPartOf Nded145b7d2c0475ab848687054f91a2e
27 schema:name Quantitative Assessment of Osteoarthritic Knee Instability: Comparison with Conventional Imaging Modalities
28 schema:pagination 703-708
29 schema:productId N0eef8ed44463489aa1d7566bd38c28c8
30 N93e3500af34e48d3bf0a9162882d34b3
31 Ne8696456190448c7a5300bc5862a1f21
32 schema:publisher Nb4aec4855686458c9d3155df94af9c62
33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104269237
34 https://doi.org/10.1007/978-981-10-9038-7_130
35 schema:sdDatePublished 2019-04-15T23:15
36 schema:sdLicense https://scigraph.springernature.com/explorer/license/
37 schema:sdPublisher N47f52e8e9d59483287d0f065b2c69977
38 schema:url http://link.springer.com/10.1007/978-981-10-9038-7_130
39 sgo:license sg:explorer/license/
40 sgo:sdDataset chapters
41 rdf:type schema:Chapter
42 N060d486667d54149b7abe29db5fe7038 rdf:first N1f1edc644adc4d4aa87add93ae3267f9
43 rdf:rest rdf:nil
44 N095cb0ee10e24c38b75569eeaf9fb916 schema:familyName Lhotska
45 schema:givenName Lenka
46 rdf:type schema:Person
47 N0eef8ed44463489aa1d7566bd38c28c8 schema:name readcube_id
48 schema:value e8a2cbb442e13e64477dddf65b59d3173606d45d78afbceaa00fad3c46e8196e
49 rdf:type schema:PropertyValue
50 N17989b1641024ad4b3ebd6f3ffd9e557 rdf:first N4222bf19f6fe4c7294f5b27b463eaea2
51 rdf:rest N916ccf4d53a440f698979717c3e388cc
52 N1d59da54eab946f78457aec012daf643 rdf:first sg:person.01141520574.24
53 rdf:rest Nd363b0f6f0e440e297ab06170238680a
54 N1f1edc644adc4d4aa87add93ae3267f9 schema:familyName Ibbott
55 schema:givenName Geoffrey S.
56 rdf:type schema:Person
57 N273d4c629da9433ea2bdd7037342ef44 rdf:first N095cb0ee10e24c38b75569eeaf9fb916
58 rdf:rest N4f38b159a60c49329158163e02c74c75
59 N2fa2a1b8e6344e6db1470d3f6b1a7358 rdf:first sg:person.010522007431.04
60 rdf:rest N1d59da54eab946f78457aec012daf643
61 N4222bf19f6fe4c7294f5b27b463eaea2 schema:affiliation https://www.grid.ac/institutes/grid.10858.34
62 schema:familyName Virtanen
63 schema:givenName V. K. O.
64 rdf:type schema:Person
65 N47f52e8e9d59483287d0f065b2c69977 schema:name Springer Nature - SN SciGraph project
66 rdf:type schema:Organization
67 N4f38b159a60c49329158163e02c74c75 rdf:first N51911ab45337400981ac0f3203e152f2
68 rdf:rest N88156126c50e4ba2a33f46f406f6ca37
69 N51911ab45337400981ac0f3203e152f2 schema:familyName Sukupova
70 schema:givenName Lucie
71 rdf:type schema:Person
72 N88156126c50e4ba2a33f46f406f6ca37 rdf:first Nb570c85c35004633b9727b3e91b65deb
73 rdf:rest N060d486667d54149b7abe29db5fe7038
74 N8e07805a168042daa0ff762f009518a9 schema:affiliation https://www.grid.ac/institutes/grid.412326.0
75 schema:familyName Niinimäki
76 schema:givenName J.
77 rdf:type schema:Person
78 N916ccf4d53a440f698979717c3e388cc rdf:first sg:person.01064522243.00
79 rdf:rest N2fa2a1b8e6344e6db1470d3f6b1a7358
80 N93e3500af34e48d3bf0a9162882d34b3 schema:name dimensions_id
81 schema:value pub.1104269237
82 rdf:type schema:PropertyValue
83 Nb4aec4855686458c9d3155df94af9c62 schema:location Singapore
84 schema:name Springer Singapore
85 rdf:type schema:Organisation
86 Nb570c85c35004633b9727b3e91b65deb schema:familyName Lacković
87 schema:givenName Igor
88 rdf:type schema:Person
89 Nb8877ebb893041de8826dee34baf555f rdf:first sg:person.0670475535.39
90 rdf:rest rdf:nil
91 Nd363b0f6f0e440e297ab06170238680a rdf:first N8e07805a168042daa0ff762f009518a9
92 rdf:rest Nebe2295bd47b4e24a85d06639cd18c98
93 Nded145b7d2c0475ab848687054f91a2e schema:isbn 978-981-10-9037-0
94 978-981-10-9038-7
95 schema:name World Congress on Medical Physics and Biomedical Engineering 2018
96 rdf:type schema:Book
97 Ne8696456190448c7a5300bc5862a1f21 schema:name doi
98 schema:value 10.1007/978-981-10-9038-7_130
99 rdf:type schema:PropertyValue
100 Nebe2295bd47b4e24a85d06639cd18c98 rdf:first sg:person.0754365632.33
101 rdf:rest Nb8877ebb893041de8826dee34baf555f
102 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
103 schema:name Medical and Health Sciences
104 rdf:type schema:DefinedTerm
105 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
106 schema:name Clinical Sciences
107 rdf:type schema:DefinedTerm
108 sg:person.010522007431.04 schema:affiliation https://www.grid.ac/institutes/grid.10858.34
109 schema:familyName Tiulpin
110 schema:givenName A.
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010522007431.04
112 rdf:type schema:Person
113 sg:person.01064522243.00 schema:affiliation https://www.grid.ac/institutes/grid.10858.34
114 schema:familyName Thevenot
115 schema:givenName J.
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01064522243.00
117 rdf:type schema:Person
118 sg:person.01141520574.24 schema:affiliation https://www.grid.ac/institutes/grid.10858.34
119 schema:familyName Hirvasniemi
120 schema:givenName J.
121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141520574.24
122 rdf:type schema:Person
123 sg:person.0670475535.39 schema:affiliation https://www.grid.ac/institutes/grid.412326.0
124 schema:familyName Saarakkala
125 schema:givenName S.
126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0670475535.39
127 rdf:type schema:Person
128 sg:person.0754365632.33 schema:affiliation https://www.grid.ac/institutes/grid.412326.0
129 schema:familyName Nevalainen
130 schema:givenName M.
131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754365632.33
132 rdf:type schema:Person
133 sg:pub.10.1007/s00167-011-1818-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003964290
134 https://doi.org/10.1007/s00167-011-1818-0
135 rdf:type schema:CreativeWork
136 sg:pub.10.1007/s10237-009-0169-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1011904825
137 https://doi.org/10.1007/s10237-009-0169-y
138 rdf:type schema:CreativeWork
139 sg:pub.10.1007/s11999-015-4349-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1022348771
140 https://doi.org/10.1007/s11999-015-4349-z
141 rdf:type schema:CreativeWork
142 sg:pub.10.1186/ar3488 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030001218
143 https://doi.org/10.1186/ar3488
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1007/s11999-015-4349-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1022348771
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1016/j.jbspin.2009.12.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006453617
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/j.joca.2011.05.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001947488
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/j.semarthrit.2013.07.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026846779
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1055/s-0036-1592149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057366133
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1136/annrheumdis-2011-201070 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007102795
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1136/ard.16.4.494 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052069859
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1177/0363546507307396 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052930196
160 rdf:type schema:CreativeWork
161 https://doi.org/10.2106/jbjs.m.01209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068903640
162 rdf:type schema:CreativeWork
163 https://doi.org/10.4038/cmj.v62i3.8520 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091995789
164 rdf:type schema:CreativeWork
165 https://doi.org/10.4137/cmamd.s22147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036373476
166 rdf:type schema:CreativeWork
167 https://www.grid.ac/institutes/grid.10858.34 schema:alternateName University of Oulu
168 schema:name University of Oulu
169 rdf:type schema:Organization
170 https://www.grid.ac/institutes/grid.412326.0 schema:alternateName Oulu University Hospital
171 schema:name Oulu University Hospital
172 University of Oulu
173 rdf:type schema:Organization
 




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


...