Ontology type: schema:ScholarlyArticle
2017-07
AUTHORSA Malhotra, M C Fahey, M Davies-Tuck, F Wong, E Carse, G Whiteley, M Ditchfield
ABSTRACTOBJECTIVE: To compare information obtained from preterm magnetic resonance imaging (MRI; 31-34 weeks) brain scan to that done at term equivalent age. STUDY DESIGN: Prospective observational study of premature infants with evidence or suspicion of parenchymal brain injury on cranial ultrasound. Brain injury on two scans scored using a scoring system and analyzed. RESULTS: Fourteen infants with a median (range) gestation at birth of 28 (25-29) weeks and birth weight of 1254 (680-1557) grams were studied. There was a strong correlation between the brain injury scores for the two scans (Spearman ρ=0.87, P=0.001) with excellent agreement between two radiologists (interclass correlation coefficient 0.9-0.94). There was also a high level of agreement between the preterm and term MRI two scores (Intraclass correlation coefficient, 0.79 (0.53-0.94)). CONCLUSIONS: Preterm MRI is a feasible option for the assessment of preterm brain injury and analysis of data obtained from scan at preterm age is comparable to that obtained at term equivalent age. More... »
PAGES864-868
http://scigraph.springernature.com/pub.10.1038/jp.2017.39
DOIhttp://dx.doi.org/10.1038/jp.2017.39
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1084537575
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/28383535
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/2008/1114",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Paediatrics and Reproductive Medicine",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Birth Weight",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Brain",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Brain Injuries",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Echoencephalography",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Female",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Infant",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Infant, Newborn",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Infant, Premature",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Magnetic Resonance Imaging",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Male",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Prospective Studies",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Severity of Illness Index",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Term Birth",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Monash University",
"id": "https://www.grid.ac/institutes/grid.1002.3",
"name": [
"Monash Newborn, Monash Children\u2019s Hospital, Melbourne, Victoria, Australia",
"The Ritchie Centre, Hudson Institute of Medical Research, Melbourne, Victoria, Australia",
"Department of Paediatrics, Monash University, Melbourne, Victoria, Australia"
],
"type": "Organization"
},
"familyName": "Malhotra",
"givenName": "A",
"id": "sg:person.0676104046.59",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0676104046.59"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Monash University",
"id": "https://www.grid.ac/institutes/grid.1002.3",
"name": [
"The Ritchie Centre, Hudson Institute of Medical Research, Melbourne, Victoria, Australia",
"Department of Paediatrics, Monash University, Melbourne, Victoria, Australia"
],
"type": "Organization"
},
"familyName": "Fahey",
"givenName": "M C",
"id": "sg:person.0627770646.48",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627770646.48"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Hudson Institute of Medical Research",
"id": "https://www.grid.ac/institutes/grid.452824.d",
"name": [
"The Ritchie Centre, Hudson Institute of Medical Research, Melbourne, Victoria, Australia"
],
"type": "Organization"
},
"familyName": "Davies-Tuck",
"givenName": "M",
"id": "sg:person.01314216517.92",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01314216517.92"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Monash University",
"id": "https://www.grid.ac/institutes/grid.1002.3",
"name": [
"Monash Newborn, Monash Children\u2019s Hospital, Melbourne, Victoria, Australia",
"The Ritchie Centre, Hudson Institute of Medical Research, Melbourne, Victoria, Australia",
"Department of Paediatrics, Monash University, Melbourne, Victoria, Australia"
],
"type": "Organization"
},
"familyName": "Wong",
"givenName": "F",
"id": "sg:person.0712352314.08",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712352314.08"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Monash Children\u2019s Hospital",
"id": "https://www.grid.ac/institutes/grid.460788.5",
"name": [
"Monash Newborn, Monash Children\u2019s Hospital, Melbourne, Victoria, Australia"
],
"type": "Organization"
},
"familyName": "Carse",
"givenName": "E",
"id": "sg:person.0776712560.16",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0776712560.16"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Monash Health",
"id": "https://www.grid.ac/institutes/grid.419789.a",
"name": [
"Diagnostic Imaging, Monash Health, Melbourne, Victoria, Australia"
],
"type": "Organization"
},
"familyName": "Whiteley",
"givenName": "G",
"id": "sg:person.01105705010.25",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01105705010.25"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Monash University",
"id": "https://www.grid.ac/institutes/grid.1002.3",
"name": [
"Department of Paediatrics, Monash University, Melbourne, Victoria, Australia",
"Diagnostic Imaging, Monash Health, Melbourne, Victoria, Australia",
"Department of Diagnostic Imaging, Monash University, Melbourne, Victoria, Australia"
],
"type": "Organization"
},
"familyName": "Ditchfield",
"givenName": "M",
"id": "sg:person.01061356016.35",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01061356016.35"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1136/adc.2005.073908",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003330813"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1053/j.semperi.2015.01.002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004202119"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3174/ajnr.a3513",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004771375"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.adnc.2004.07.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005586016"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.adnc.2004.07.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005586016"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3174/ajnr.a3950",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006010261"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1542/peds.2014-0898",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008591048"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1542/peds.2014-0898",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008591048"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1469-8749.2008.03127.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009102638"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1469-8749.2008.03127.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009102638"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1056/nejmoa041367",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009367190"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3174/ajnr.a3521",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010686746"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpeds.2005.06.033",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011934291"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1136/archdischild-2014-308077",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022881767"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s1474-4422(09)70257-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024045795"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1542/peds.2007-2184",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026842848"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.earlhumdev.2008.11.005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027116300"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1136/archdischild-2014-306129",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030829095"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1055/s-0035-1554102",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033591846"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1056/nejmoa053792",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037034180"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.4103/1817-1745.181261",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037411429"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00234-013-1238-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037711275",
"https://doi.org/10.1007/s00234-013-1238-6"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/01.wnl.0000117981.35364.1b",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037733736"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/01.wnl.0000117981.35364.1b",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037733736"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1001/jama.288.6.728",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038858658"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pone.0051879",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039258696"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0140-6736(86)90837-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040287180"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0140-6736(86)90837-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040287180"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/dmcn.12331",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045183119"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1053/j.semperi.2015.01.008",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047899995"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/jpc.12222",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048243013"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1259/bjr/66148265",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064569894"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1542/peds.2005-1866",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1067824595"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1542/peds.2009-2959",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1067828147"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2174/157339631001140408120821",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069204742"
],
"type": "CreativeWork"
}
],
"datePublished": "2017-07",
"datePublishedReg": "2017-07-01",
"description": "OBJECTIVE: To compare information obtained from preterm magnetic resonance imaging (MRI; 31-34 weeks) brain scan to that done at term equivalent age.\nSTUDY DESIGN: Prospective observational study of premature infants with evidence or suspicion of parenchymal brain injury on cranial ultrasound. Brain injury on two scans scored using a scoring system and analyzed.\nRESULTS: Fourteen infants with a median (range) gestation at birth of 28 (25-29) weeks and birth weight of 1254 (680-1557) grams were studied. There was a strong correlation between the brain injury scores for the two scans (Spearman \u03c1=0.87, P=0.001) with excellent agreement between two radiologists (interclass correlation coefficient 0.9-0.94). There was also a high level of agreement between the preterm and term MRI two scores (Intraclass correlation coefficient, 0.79 (0.53-0.94)).\nCONCLUSIONS: Preterm MRI is a feasible option for the assessment of preterm brain injury and analysis of data obtained from scan at preterm age is comparable to that obtained at term equivalent age.",
"genre": "research_article",
"id": "sg:pub.10.1038/jp.2017.39",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1095220",
"issn": [
"0743-8346",
"1476-5543"
],
"name": "Journal of Perinatology",
"type": "Periodical"
},
{
"issueNumber": "7",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "37"
}
],
"name": "Comparison of preterm and term equivalent age MRI for the evaluation of preterm brain injury",
"pagination": "864-868",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"ef4cadbae5c70f15f6b85fb1035f4eb7b62bf3fb5791ca3b37684e915c5091da"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"28383535"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"8501884"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/jp.2017.39"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1084537575"
]
}
],
"sameAs": [
"https://doi.org/10.1038/jp.2017.39",
"https://app.dimensions.ai/details/publication/pub.1084537575"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T21:25",
"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_8687_00000427.jsonl",
"type": "ScholarlyArticle",
"url": "http://www.nature.com/jp/journal/v37/n7/full/jp201739a.html"
}
]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.10.1038/jp.2017.39'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/jp.2017.39'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/jp.2017.39'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/jp.2017.39'
This table displays all metadata directly associated to this object as RDF triples.
271 TRIPLES
21 PREDICATES
73 URIs
35 LITERALS
23 BLANK NODES