Ontology type: schema:ScholarlyArticle
2013-01
AUTHORSThomas Le Corroller, Martine Pithioux, Fahmi Chaari, Benoît Rosa, Sébastien Parratte, Boris Maurel, Jean-Noël Argenson, Pierre Champsaur, Patrick Chabrand
ABSTRACTFracture of the proximal femur is a major public health problem in elderly persons. It has recently been suggested that combining texture analysis and bone mineral density measurement improves the failure load prediction in human femurs. In this study, we aimed to compare bone texture analysis with three-dimensional (3D) microarchitecture and mechanical properties of trabecular bone in osteoporotic femurs. Eight femoral heads from osteoporotic patients who fractured their femoral neck provided 31 bone cores. Bone samples were studied using a new high-resolution digital X-ray device (BMA™, D3A Medical Systems) allowing for texture analysis with fractal parameter H (mean), and were examined using micro-computed tomography (microCT) for 3D microarchitecture. Finally, uniaxial compression tests to failure were performed to estimate failure load and apparent modulus of bone samples. The fractal parameter H (mean) was strongly correlated with bone volume fraction (BV/TV) (r = 0.84) and trabecular thickness (Tb.Th) (r = 0.91) (p < 0.01). H (mean) was also markedly correlated with failure load (r = 0.84) and apparent modulus (r = 0.71) of core samples (p < 0.01). Bone volume fraction (BV/TV) and trabecular thickness (Tb.Th) demonstrated significant correlations with failure load (r = 0.85 and 0.72, respectively) and apparent modulus (r = 0.72 and 0.64, respectively) (p < 0.01). Overall, the best predictors of failure load were H (mean), bone volume fraction, and trabecular thickness, with r (2) coefficients of 0.83, 0.76, and 0.80 respectively. This study shows that the fractal parameter H (mean) is correlated with 3D microCT parameters and mechanical properties of femoral head bone samples, which suggests that radiographic texture analysis is a suitable approach for trabecular bone microarchitecture assessment in osteoporotic femurs. More... »
PAGES82-88
http://scigraph.springernature.com/pub.10.1007/s00774-012-0375-z
DOIhttp://dx.doi.org/10.1007/s00774-012-0375-z
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/22886379
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"22886379"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"9436705"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s00774-012-0375-z"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1027090387"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00774-012-0375-z",
"https://app.dimensions.ai/details/publication/pub.1027090387"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T19:09",
"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_8678_00000513.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007%2Fs00774-012-0375-z"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
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/s00774-012-0375-z'
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/s00774-012-0375-z'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00774-012-0375-z'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00774-012-0375-z'
This table displays all metadata directly associated to this object as RDF triples.
282 TRIPLES
21 PREDICATES
72 URIs
30 LITERALS
18 BLANK NODES