Morphometric study of the neural ossification centers of the atlas and axis in the human fetus View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Mariusz Baumgart, Marcin Wiśniewski, Magdalena Grzonkowska, Bogdan Małkowski, Mateusz Badura, Michał Szpinda

ABSTRACT

PURPOSES: The knowledge of the developing cervical spine and its individual vertebrae, including their neural processes may be useful in the diagnostics of congenital vertebral malformations. This study was performed to quantitatively examine the neural ossification centers of the atlas and axis with respect to their linear, planar and volumetric parameters. METHODS: Using the methods of CT, digital-image analysis and statistics, the size of neural ossification centers in the atlas and axis in 55 spontaneously aborted human fetuses aged 17-30 weeks was studied. RESULTS: Without any male-female and right-left significant differences, the best fit growth dynamics for the neural ossification centers of the atlas and axis were, respectively, modelled by the following functions: for length: y = -13.461 + 6.140 × ln(age) ± 0.570 and y = -15.683 + 6.882 × ln(age) ± 0.503, for width: y = -4.006 + 1.930 × ln(age) ± 0.178 and y = -3.054 + 1.648 × ln(age) ± 0.178, for cross-sectional area: y = -7.362 + 0.780 × age ± 1.700 and y = -9.930 + 0.869 × age ± 1.911, and for volume: y = -6.417 + 0.836 × age ± 1.924 and y = -11.592 + 1.087 × age ± 2.509. CONCLUSIONS: The size of neural ossification centers of the atlas and axis shows neither sexual nor bilateral differences. The neural ossification centers of the atlas and axis grow logarithmically in both length and width and linearly in both cross-sectional area and volume. The numerical data relating to the size of neural ossification centers of the atlas and axis derived from the CT and digital-image analysis are considered specific-age reference values of potential relevance in both the ultrasound monitoring and the early detection of spinal abnormalities relating to the neural processes of the first two cervical vertebrae in the fetus. More... »

PAGES

1205-1215

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00276-016-1681-2

DOI

http://dx.doi.org/10.1007/s00276-016-1681-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1049581768

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27142660


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/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aborted Fetus", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Age Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Axis, Cervical Vertebra", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cervical Atlas", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Fetal Development", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gestational Age", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Theoretical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Osteogenesis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pregnancy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reference Values", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sex Characteristics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Spine", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Nicolaus Copernicus University", 
          "id": "https://www.grid.ac/institutes/grid.5374.5", 
          "name": [
            "Department of Normal Anatomy, The Ludwik Rydygier Collegium Medicum in Bydgoszcz, The Nicolaus Copernicus University in Toru\u0144, \u0141ukasiewicza 1 Street, 85-821, Bydgoszcz, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baumgart", 
        "givenName": "Mariusz", 
        "id": "sg:person.0601612435.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0601612435.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nicolaus Copernicus University", 
          "id": "https://www.grid.ac/institutes/grid.5374.5", 
          "name": [
            "Department of Normal Anatomy, The Ludwik Rydygier Collegium Medicum in Bydgoszcz, The Nicolaus Copernicus University in Toru\u0144, \u0141ukasiewicza 1 Street, 85-821, Bydgoszcz, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wi\u015bniewski", 
        "givenName": "Marcin", 
        "id": "sg:person.01232563127.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232563127.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nicolaus Copernicus University", 
          "id": "https://www.grid.ac/institutes/grid.5374.5", 
          "name": [
            "Department of Normal Anatomy, The Ludwik Rydygier Collegium Medicum in Bydgoszcz, The Nicolaus Copernicus University in Toru\u0144, \u0141ukasiewicza 1 Street, 85-821, Bydgoszcz, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Grzonkowska", 
        "givenName": "Magdalena", 
        "id": "sg:person.01360311212.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360311212.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nicolaus Copernicus University", 
          "id": "https://www.grid.ac/institutes/grid.5374.5", 
          "name": [
            "Department of Positron Emission Tomography and Molecular Imaging, The Ludwik Rydygier Collegium Medicum in Bydgoszcz, The Nicolaus Copernicus University in Toru\u0144, \u0141ukasiewicza 1 Street, 85-821, Bydgoszcz, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ma\u0142kowski", 
        "givenName": "Bogdan", 
        "id": "sg:person.01012561440.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012561440.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nicolaus Copernicus University", 
          "id": "https://www.grid.ac/institutes/grid.5374.5", 
          "name": [
            "Department of Normal Anatomy, The Ludwik Rydygier Collegium Medicum in Bydgoszcz, The Nicolaus Copernicus University in Toru\u0144, \u0141ukasiewicza 1 Street, 85-821, Bydgoszcz, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Badura", 
        "givenName": "Mateusz", 
        "id": "sg:person.012575475407.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012575475407.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nicolaus Copernicus University", 
          "id": "https://www.grid.ac/institutes/grid.5374.5", 
          "name": [
            "Department of Normal Anatomy, The Ludwik Rydygier Collegium Medicum in Bydgoszcz, The Nicolaus Copernicus University in Toru\u0144, \u0141ukasiewicza 1 Street, 85-821, Bydgoszcz, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Szpinda", 
        "givenName": "Micha\u0142", 
        "id": "sg:person.0747056717.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0747056717.01"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.5114/aoms.2013.37086", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000990119"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/uog.7619", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004770664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/uog.7619", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004770664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/rg.233025121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007587502"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a3105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015674889"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1359/jbmr.2003.18.3.493", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020913531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ultrasmedbio.2005.02.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023711163"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ultrasmedbio.2005.02.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023711163"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00276-012-1022-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023777039", 
          "https://doi.org/10.1007/s00276-012-1022-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7863/jum.1987.6.11.631", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027032577"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0735-6757(86)90302-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028361744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3340/jkns.2015.57.4.276", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031309694"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/00016925309176595", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033273748"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0379-0738(00)00446-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033917336"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00276-013-1107-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043537760", 
          "https://doi.org/10.1007/s00276-013-1107-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00276-013-1107-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043537760", 
          "https://doi.org/10.1007/s00276-013-1107-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00276-013-1093-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048282305", 
          "https://doi.org/10.1007/s00276-013-1093-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00276-013-1093-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048282305", 
          "https://doi.org/10.1007/s00276-013-1093-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.12659/msmbr.883956", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048878800"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7863/ultra.14.12044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051143707"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.crad.2015.04.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052088052"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00276-012-1045-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053704059", 
          "https://doi.org/10.1007/s00276-012-1045-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00276-012-1045-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053704059", 
          "https://doi.org/10.1007/s00276-012-1045-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/373938", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058668494"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/373938", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058668494"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.10.5403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069301224"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.129.1.154", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069309006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.134.1.178", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069310265"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.174.6.1741793", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069323286"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3171/2011.6.peds11187", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071076863"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3171/2011.6.peds11187", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071076863"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3171/2011.6.peds11187", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071076863"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3171/2011.6.peds11187", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071076863"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3171/2011.6.peds11187", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071076863"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5603/fm.2013.0038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073038232"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.155.1.3883417", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1080012913"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1080666039", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081532425", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082694999", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082978792", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082999508", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-12", 
    "datePublishedReg": "2016-12-01", 
    "description": "PURPOSES: The knowledge of the developing cervical spine and its individual vertebrae, including their neural processes may be useful in the diagnostics of congenital vertebral malformations. This study was performed to quantitatively examine the neural ossification centers of the atlas and axis with respect to their linear, planar and volumetric parameters.\nMETHODS: Using the methods of CT, digital-image analysis and statistics, the size of neural ossification centers in the atlas and axis in 55 spontaneously aborted human fetuses aged 17-30\u00a0weeks was studied.\nRESULTS: Without any male-female and right-left significant differences, the best fit growth dynamics for the neural ossification centers of the atlas and axis were, respectively, modelled by the following functions: for length: y\u00a0=\u00a0-13.461\u00a0+\u00a06.140\u00a0\u00d7\u00a0ln(age)\u00a0\u00b1\u00a00.570 and y\u00a0=\u00a0-15.683\u00a0+\u00a06.882\u00a0\u00d7\u00a0ln(age)\u00a0\u00b1\u00a00.503, for width: y\u00a0=\u00a0-4.006\u00a0+\u00a01.930\u00a0\u00d7\u00a0ln(age)\u00a0\u00b1\u00a00.178 and y\u00a0=\u00a0-3.054\u00a0+\u00a01.648\u00a0\u00d7\u00a0ln(age)\u00a0\u00b1\u00a00.178, for cross-sectional area: y\u00a0=\u00a0-7.362\u00a0+\u00a00.780\u00a0\u00d7\u00a0age\u00a0\u00b1\u00a01.700 and y\u00a0=\u00a0-9.930\u00a0+\u00a00.869\u00a0\u00d7\u00a0age\u00a0\u00b1\u00a01.911, and for volume: y\u00a0=\u00a0-6.417\u00a0+\u00a00.836\u00a0\u00d7\u00a0age\u00a0\u00b1\u00a01.924 and y\u00a0=\u00a0-11.592\u00a0+\u00a01.087\u00a0\u00d7\u00a0age\u00a0\u00b1\u00a02.509.\nCONCLUSIONS: The size of neural ossification centers of the atlas and axis shows neither sexual nor bilateral differences. The neural ossification centers of the atlas and axis grow logarithmically in both length and width and linearly in both cross-sectional area and volume. The numerical data relating to the size of neural ossification centers of the atlas and axis derived from the CT and digital-image analysis are considered specific-age reference values of potential relevance in both the ultrasound monitoring and the early detection of spinal abnormalities relating to the neural processes of the first two cervical vertebrae in the fetus.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00276-016-1681-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1096388", 
        "issn": [
          "0930-1038", 
          "1279-8517"
        ], 
        "name": "Surgical and Radiologic Anatomy", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "10", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "38"
      }
    ], 
    "name": "Morphometric study of the neural ossification centers of the atlas and axis in the human fetus", 
    "pagination": "1205-1215", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ec31d435cdc26c54e450eb92ecc32a61b593db41ec11a4f2da3a3e063fd90922"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27142660"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8608029"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00276-016-1681-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1049581768"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00276-016-1681-2", 
      "https://app.dimensions.ai/details/publication/pub.1049581768"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:08", 
    "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/v90/0000000367_0000000367/records_88227_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00276-016-1681-2"
  }
]
 

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/s00276-016-1681-2'

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/s00276-016-1681-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00276-016-1681-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00276-016-1681-2'


 

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

261 TRIPLES      21 PREDICATES      76 URIs      37 LITERALS      25 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00276-016-1681-2 schema:about N09507397f1ef4e2599efe87426e0f1bc
2 N1023fc0b90cf4d659a3db4cd6f772557
3 N17c2f43b62c8405fa6e140499673861b
4 N24f2f313089c4af6b471948f361a5ef9
5 N2d7633ee250546779fe01687485f58c0
6 N4765a27dd2724f4d86e40ab66bf76d78
7 N5b1de7c1e2e54bde8fd7ec698da5a9c2
8 N5f0a564a80f144ccabd004a7d220e0bb
9 N7d81b0089d31453d890e06d0dffeb6be
10 N91b545496fc849ef8b982235d2b48ed6
11 N957be83656bb495185f8455aea7d6f3d
12 N9fe23ae1ee01429480e1f747d4f92434
13 Nba9c2b061a48473296b57e7f0cc10140
14 Nc36d511a4aa94df7909617321ee3ee6f
15 Nc3b82913ab38474c9335f4c046e2e4b8
16 Nc865ac8de4cf48ebb8608ab5de6ee28d
17 anzsrc-for:08
18 anzsrc-for:0801
19 schema:author Nc04ddbac6c7c45ce885613e50131a792
20 schema:citation sg:pub.10.1007/s00276-012-1022-z
21 sg:pub.10.1007/s00276-012-1045-5
22 sg:pub.10.1007/s00276-013-1093-5
23 sg:pub.10.1007/s00276-013-1107-3
24 https://app.dimensions.ai/details/publication/pub.1080666039
25 https://app.dimensions.ai/details/publication/pub.1081532425
26 https://app.dimensions.ai/details/publication/pub.1082694999
27 https://app.dimensions.ai/details/publication/pub.1082978792
28 https://app.dimensions.ai/details/publication/pub.1082999508
29 https://doi.org/10.1002/uog.7619
30 https://doi.org/10.1016/0735-6757(86)90302-5
31 https://doi.org/10.1016/j.crad.2015.04.003
32 https://doi.org/10.1016/j.ultrasmedbio.2005.02.013
33 https://doi.org/10.1016/s0379-0738(00)00446-1
34 https://doi.org/10.1086/373938
35 https://doi.org/10.1148/radiology.155.1.3883417
36 https://doi.org/10.1148/rg.233025121
37 https://doi.org/10.12659/msmbr.883956
38 https://doi.org/10.1359/jbmr.2003.18.3.493
39 https://doi.org/10.2214/ajr.10.5403
40 https://doi.org/10.2214/ajr.129.1.154
41 https://doi.org/10.2214/ajr.134.1.178
42 https://doi.org/10.2214/ajr.174.6.1741793
43 https://doi.org/10.3109/00016925309176595
44 https://doi.org/10.3171/2011.6.peds11187
45 https://doi.org/10.3174/ajnr.a3105
46 https://doi.org/10.3340/jkns.2015.57.4.276
47 https://doi.org/10.5114/aoms.2013.37086
48 https://doi.org/10.5603/fm.2013.0038
49 https://doi.org/10.7863/jum.1987.6.11.631
50 https://doi.org/10.7863/ultra.14.12044
51 schema:datePublished 2016-12
52 schema:datePublishedReg 2016-12-01
53 schema:description PURPOSES: The knowledge of the developing cervical spine and its individual vertebrae, including their neural processes may be useful in the diagnostics of congenital vertebral malformations. This study was performed to quantitatively examine the neural ossification centers of the atlas and axis with respect to their linear, planar and volumetric parameters. METHODS: Using the methods of CT, digital-image analysis and statistics, the size of neural ossification centers in the atlas and axis in 55 spontaneously aborted human fetuses aged 17-30 weeks was studied. RESULTS: Without any male-female and right-left significant differences, the best fit growth dynamics for the neural ossification centers of the atlas and axis were, respectively, modelled by the following functions: for length: y = -13.461 + 6.140 × ln(age) ± 0.570 and y = -15.683 + 6.882 × ln(age) ± 0.503, for width: y = -4.006 + 1.930 × ln(age) ± 0.178 and y = -3.054 + 1.648 × ln(age) ± 0.178, for cross-sectional area: y = -7.362 + 0.780 × age ± 1.700 and y = -9.930 + 0.869 × age ± 1.911, and for volume: y = -6.417 + 0.836 × age ± 1.924 and y = -11.592 + 1.087 × age ± 2.509. CONCLUSIONS: The size of neural ossification centers of the atlas and axis shows neither sexual nor bilateral differences. The neural ossification centers of the atlas and axis grow logarithmically in both length and width and linearly in both cross-sectional area and volume. The numerical data relating to the size of neural ossification centers of the atlas and axis derived from the CT and digital-image analysis are considered specific-age reference values of potential relevance in both the ultrasound monitoring and the early detection of spinal abnormalities relating to the neural processes of the first two cervical vertebrae in the fetus.
54 schema:genre research_article
55 schema:inLanguage en
56 schema:isAccessibleForFree true
57 schema:isPartOf Ne03fb6e2bdf24bfa96bfab88d056eff5
58 Nf9c5706dc62d4298bbb0ba1eb48009ff
59 sg:journal.1096388
60 schema:name Morphometric study of the neural ossification centers of the atlas and axis in the human fetus
61 schema:pagination 1205-1215
62 schema:productId N111372a6615842ea931d97cb39dd34a4
63 N16d3a0fe570245a5ab1e1c6b5f413eab
64 N55acade7cee840e7b6c0c12eed204a1d
65 Ncc7d46c7d51c45848e025fdfebd09620
66 Nf5666d606fdd41989e3f7fa7b5998f4b
67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049581768
68 https://doi.org/10.1007/s00276-016-1681-2
69 schema:sdDatePublished 2019-04-11T13:08
70 schema:sdLicense https://scigraph.springernature.com/explorer/license/
71 schema:sdPublisher Nb035585e847244578a2094c5b367cd90
72 schema:url http://link.springer.com/10.1007%2Fs00276-016-1681-2
73 sgo:license sg:explorer/license/
74 sgo:sdDataset articles
75 rdf:type schema:ScholarlyArticle
76 N042fab01197741919bb06e19244afe3b rdf:first sg:person.0747056717.01
77 rdf:rest rdf:nil
78 N09507397f1ef4e2599efe87426e0f1bc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Cervical Atlas
80 rdf:type schema:DefinedTerm
81 N1023fc0b90cf4d659a3db4cd6f772557 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Reference Values
83 rdf:type schema:DefinedTerm
84 N111372a6615842ea931d97cb39dd34a4 schema:name dimensions_id
85 schema:value pub.1049581768
86 rdf:type schema:PropertyValue
87 N16d3a0fe570245a5ab1e1c6b5f413eab schema:name nlm_unique_id
88 schema:value 8608029
89 rdf:type schema:PropertyValue
90 N17c2f43b62c8405fa6e140499673861b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Male
92 rdf:type schema:DefinedTerm
93 N24f2f313089c4af6b471948f361a5ef9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Osteogenesis
95 rdf:type schema:DefinedTerm
96 N26a88325c679451fa62b7c55ef2cf9ab rdf:first sg:person.012575475407.73
97 rdf:rest N042fab01197741919bb06e19244afe3b
98 N2d7633ee250546779fe01687485f58c0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Fetal Development
100 rdf:type schema:DefinedTerm
101 N4765a27dd2724f4d86e40ab66bf76d78 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Age Factors
103 rdf:type schema:DefinedTerm
104 N55acade7cee840e7b6c0c12eed204a1d schema:name doi
105 schema:value 10.1007/s00276-016-1681-2
106 rdf:type schema:PropertyValue
107 N5b1de7c1e2e54bde8fd7ec698da5a9c2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Gestational Age
109 rdf:type schema:DefinedTerm
110 N5f0a564a80f144ccabd004a7d220e0bb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Sex Characteristics
112 rdf:type schema:DefinedTerm
113 N7d81b0089d31453d890e06d0dffeb6be schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Humans
115 rdf:type schema:DefinedTerm
116 N91b545496fc849ef8b982235d2b48ed6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Axis, Cervical Vertebra
118 rdf:type schema:DefinedTerm
119 N957be83656bb495185f8455aea7d6f3d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Female
121 rdf:type schema:DefinedTerm
122 N9fe23ae1ee01429480e1f747d4f92434 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Spine
124 rdf:type schema:DefinedTerm
125 Nb035585e847244578a2094c5b367cd90 schema:name Springer Nature - SN SciGraph project
126 rdf:type schema:Organization
127 Nba9c2b061a48473296b57e7f0cc10140 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Pregnancy
129 rdf:type schema:DefinedTerm
130 Nc04ddbac6c7c45ce885613e50131a792 rdf:first sg:person.0601612435.15
131 rdf:rest Neaaea13e8f4f4b4c90de6abc5d9d476b
132 Nc36d511a4aa94df7909617321ee3ee6f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Tomography, X-Ray Computed
134 rdf:type schema:DefinedTerm
135 Nc3b82913ab38474c9335f4c046e2e4b8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Models, Theoretical
137 rdf:type schema:DefinedTerm
138 Nc865ac8de4cf48ebb8608ab5de6ee28d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Aborted Fetus
140 rdf:type schema:DefinedTerm
141 Ncc7d46c7d51c45848e025fdfebd09620 schema:name readcube_id
142 schema:value ec31d435cdc26c54e450eb92ecc32a61b593db41ec11a4f2da3a3e063fd90922
143 rdf:type schema:PropertyValue
144 Nda598b81dad64c8ab8d591b1be30b132 rdf:first sg:person.01360311212.25
145 rdf:rest Ne10803e9c14640ad8bf92d0d0a4ec491
146 Ne03fb6e2bdf24bfa96bfab88d056eff5 schema:issueNumber 10
147 rdf:type schema:PublicationIssue
148 Ne10803e9c14640ad8bf92d0d0a4ec491 rdf:first sg:person.01012561440.40
149 rdf:rest N26a88325c679451fa62b7c55ef2cf9ab
150 Neaaea13e8f4f4b4c90de6abc5d9d476b rdf:first sg:person.01232563127.55
151 rdf:rest Nda598b81dad64c8ab8d591b1be30b132
152 Nf5666d606fdd41989e3f7fa7b5998f4b schema:name pubmed_id
153 schema:value 27142660
154 rdf:type schema:PropertyValue
155 Nf9c5706dc62d4298bbb0ba1eb48009ff schema:volumeNumber 38
156 rdf:type schema:PublicationVolume
157 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
158 schema:name Information and Computing Sciences
159 rdf:type schema:DefinedTerm
160 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
161 schema:name Artificial Intelligence and Image Processing
162 rdf:type schema:DefinedTerm
163 sg:journal.1096388 schema:issn 0930-1038
164 1279-8517
165 schema:name Surgical and Radiologic Anatomy
166 rdf:type schema:Periodical
167 sg:person.01012561440.40 schema:affiliation https://www.grid.ac/institutes/grid.5374.5
168 schema:familyName Małkowski
169 schema:givenName Bogdan
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012561440.40
171 rdf:type schema:Person
172 sg:person.01232563127.55 schema:affiliation https://www.grid.ac/institutes/grid.5374.5
173 schema:familyName Wiśniewski
174 schema:givenName Marcin
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232563127.55
176 rdf:type schema:Person
177 sg:person.012575475407.73 schema:affiliation https://www.grid.ac/institutes/grid.5374.5
178 schema:familyName Badura
179 schema:givenName Mateusz
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012575475407.73
181 rdf:type schema:Person
182 sg:person.01360311212.25 schema:affiliation https://www.grid.ac/institutes/grid.5374.5
183 schema:familyName Grzonkowska
184 schema:givenName Magdalena
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360311212.25
186 rdf:type schema:Person
187 sg:person.0601612435.15 schema:affiliation https://www.grid.ac/institutes/grid.5374.5
188 schema:familyName Baumgart
189 schema:givenName Mariusz
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0601612435.15
191 rdf:type schema:Person
192 sg:person.0747056717.01 schema:affiliation https://www.grid.ac/institutes/grid.5374.5
193 schema:familyName Szpinda
194 schema:givenName Michał
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0747056717.01
196 rdf:type schema:Person
197 sg:pub.10.1007/s00276-012-1022-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1023777039
198 https://doi.org/10.1007/s00276-012-1022-z
199 rdf:type schema:CreativeWork
200 sg:pub.10.1007/s00276-012-1045-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053704059
201 https://doi.org/10.1007/s00276-012-1045-5
202 rdf:type schema:CreativeWork
203 sg:pub.10.1007/s00276-013-1093-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048282305
204 https://doi.org/10.1007/s00276-013-1093-5
205 rdf:type schema:CreativeWork
206 sg:pub.10.1007/s00276-013-1107-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043537760
207 https://doi.org/10.1007/s00276-013-1107-3
208 rdf:type schema:CreativeWork
209 https://app.dimensions.ai/details/publication/pub.1080666039 schema:CreativeWork
210 https://app.dimensions.ai/details/publication/pub.1081532425 schema:CreativeWork
211 https://app.dimensions.ai/details/publication/pub.1082694999 schema:CreativeWork
212 https://app.dimensions.ai/details/publication/pub.1082978792 schema:CreativeWork
213 https://app.dimensions.ai/details/publication/pub.1082999508 schema:CreativeWork
214 https://doi.org/10.1002/uog.7619 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004770664
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/0735-6757(86)90302-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028361744
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/j.crad.2015.04.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052088052
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/j.ultrasmedbio.2005.02.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023711163
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1016/s0379-0738(00)00446-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033917336
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1086/373938 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058668494
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1148/radiology.155.1.3883417 schema:sameAs https://app.dimensions.ai/details/publication/pub.1080012913
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1148/rg.233025121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007587502
229 rdf:type schema:CreativeWork
230 https://doi.org/10.12659/msmbr.883956 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048878800
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1359/jbmr.2003.18.3.493 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020913531
233 rdf:type schema:CreativeWork
234 https://doi.org/10.2214/ajr.10.5403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069301224
235 rdf:type schema:CreativeWork
236 https://doi.org/10.2214/ajr.129.1.154 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069309006
237 rdf:type schema:CreativeWork
238 https://doi.org/10.2214/ajr.134.1.178 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069310265
239 rdf:type schema:CreativeWork
240 https://doi.org/10.2214/ajr.174.6.1741793 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069323286
241 rdf:type schema:CreativeWork
242 https://doi.org/10.3109/00016925309176595 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033273748
243 rdf:type schema:CreativeWork
244 https://doi.org/10.3171/2011.6.peds11187 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071076863
245 rdf:type schema:CreativeWork
246 https://doi.org/10.3174/ajnr.a3105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015674889
247 rdf:type schema:CreativeWork
248 https://doi.org/10.3340/jkns.2015.57.4.276 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031309694
249 rdf:type schema:CreativeWork
250 https://doi.org/10.5114/aoms.2013.37086 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000990119
251 rdf:type schema:CreativeWork
252 https://doi.org/10.5603/fm.2013.0038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073038232
253 rdf:type schema:CreativeWork
254 https://doi.org/10.7863/jum.1987.6.11.631 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027032577
255 rdf:type schema:CreativeWork
256 https://doi.org/10.7863/ultra.14.12044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051143707
257 rdf:type schema:CreativeWork
258 https://www.grid.ac/institutes/grid.5374.5 schema:alternateName Nicolaus Copernicus University
259 schema:name Department of Normal Anatomy, The Ludwik Rydygier Collegium Medicum in Bydgoszcz, The Nicolaus Copernicus University in Toruń, Łukasiewicza 1 Street, 85-821, Bydgoszcz, Poland
260 Department of Positron Emission Tomography and Molecular Imaging, The Ludwik Rydygier Collegium Medicum in Bydgoszcz, The Nicolaus Copernicus University in Toruń, Łukasiewicza 1 Street, 85-821, Bydgoszcz, Poland
261 rdf:type schema:Organization
 




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


...