Ontology type: schema:ScholarlyArticle
2016-02
AUTHORSJulien Lambron, Josué Rakotonjanahary, Didier Loisel, Eric Frampas, Emilie De Carli, Matthieu Delion, Xavier Rialland, Frédérique Toulgoat
ABSTRACTINTRODUCTION: Magnetic resonance (MR) images from children with optic pathway glioma (OPG) are complex. We initiated this study to evaluate the accuracy of MR imaging (MRI) interpretation and to propose a simple and reproducible imaging classification for MRI. METHODS: We randomly selected 140 MRIs from among 510 MRIs performed on 104 children diagnosed with OPG in France from 1990 to 2004. These images were reviewed independently by three radiologists (F.T., 15 years of experience in neuroradiology; D.L., 25 years of experience in pediatric radiology; and J.L., 3 years of experience in radiology) using a classification derived from the Dodge and modified Dodge classifications. Intra- and interobserver reliabilities were assessed using the Bland-Altman method and the kappa coefficient. These reviews allowed the definition of reliable criteria for MRI interpretation. RESULTS: The reviews showed intraobserver variability and large discrepancies among the three radiologists (kappa coefficient varying from 0.11 to 1). These variabilities were too large for the interpretation to be considered reproducible over time or among observers. A consensual analysis, taking into account all observed variabilities, allowed the development of a definitive interpretation protocol. Using this revised protocol, we observed consistent intra- and interobserver results (kappa coefficient varying from 0.56 to 1). The mean interobserver difference for the solid portion of the tumor with contrast enhancement was 0.8 cm(3) (limits of agreement = -16 to 17). CONCLUSION: We propose simple and precise rules for improving the accuracy and reliability of MRI interpretation for children with OPG. Further studies will be necessary to investigate the possible prognostic value of this approach. More... »
PAGES197-208
http://scigraph.springernature.com/pub.10.1007/s00234-015-1612-7
DOIhttp://dx.doi.org/10.1007/s00234-015-1612-7
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1029910235
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/26518314
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"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Algorithms",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Child, Preschool",
"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": "Image Enhancement",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Image Interpretation, Computer-Assisted",
"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": "Observer Variation",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Optic Nerve Glioma",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Reproducibility of Results",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Sensitivity and Specificity",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"name": [
"Department of Radiology, University Hospital, 1 Place Alexis-Ricordeau, 44093, Nantes Cedex 1, France"
],
"type": "Organization"
},
"familyName": "Lambron",
"givenName": "Julien",
"id": "sg:person.012726637075.15",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012726637075.15"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Centre Hospitalier Universitaire de Angers",
"id": "https://www.grid.ac/institutes/grid.411147.6",
"name": [
"Department of Pediatric Oncology, University Hospital, Angers, France",
"INSERM CIE5 Robert Debre Hospital, Assistance Publique-H\u00f4pitaux de Paris (AP-HP), University Paris Diderot, Paris, France"
],
"type": "Organization"
},
"familyName": "Rakotonjanahary",
"givenName": "Josu\u00e9",
"id": "sg:person.01301024402.53",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01301024402.53"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Centre Hospitalier Universitaire de Angers",
"id": "https://www.grid.ac/institutes/grid.411147.6",
"name": [
"Department of Radiology, University Hospital, Angers, France"
],
"type": "Organization"
},
"familyName": "Loisel",
"givenName": "Didier",
"id": "sg:person.01251414315.23",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01251414315.23"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Department of Radiology, University Hospital, 1 Place Alexis-Ricordeau, 44093, Nantes Cedex 1, France"
],
"type": "Organization"
},
"familyName": "Frampas",
"givenName": "Eric",
"id": "sg:person.0720415666.19",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720415666.19"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Centre Hospitalier Universitaire de Angers",
"id": "https://www.grid.ac/institutes/grid.411147.6",
"name": [
"Department of Pediatric Oncology, University Hospital, Angers, France"
],
"type": "Organization"
},
"familyName": "De Carli",
"givenName": "Emilie",
"id": "sg:person.01150404225.36",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01150404225.36"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Centre Hospitalier Universitaire de Angers",
"id": "https://www.grid.ac/institutes/grid.411147.6",
"name": [
"Department of Neurosurgery, University Hospital, Angers, France"
],
"type": "Organization"
},
"familyName": "Delion",
"givenName": "Matthieu",
"id": "sg:person.01012355576.66",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012355576.66"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Centre Hospitalier Universitaire de Angers",
"id": "https://www.grid.ac/institutes/grid.411147.6",
"name": [
"Department of Pediatric Oncology, University Hospital, Angers, France"
],
"type": "Organization"
},
"familyName": "Rialland",
"givenName": "Xavier",
"id": "sg:person.01057654417.64",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057654417.64"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Department of Radiology, University Hospital, 1 Place Alexis-Ricordeau, 44093, Nantes Cedex 1, France"
],
"type": "Organization"
},
"familyName": "Toulgoat",
"givenName": "Fr\u00e9d\u00e9rique",
"id": "sg:person.0613731036.97",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0613731036.97"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/s00381-011-1436-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007934304",
"https://doi.org/10.1007/s00381-011-1436-7"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/neuonc/noq092",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009512586"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/neuonc/noq092",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009512586"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3174/ajnr.a0963",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009727300"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.media.2011.07.001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011121058"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1136/adc.76.3.259",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011732634"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0039-6257(94)90173-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012691817"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0360-3016(97)00359-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014910303"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/(sici)1097-0258(19980115)17:1<101::aid-sim727>3.0.co;2-e",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017322259"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11060-011-0783-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018188055",
"https://doi.org/10.1007/s11060-011-0783-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00381-008-0707-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023782647",
"https://doi.org/10.1007/s00381-008-0707-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00381-008-0707-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023782647",
"https://doi.org/10.1007/s00381-008-0707-4"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pone.0127676",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027847839"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1136/adc.79.4.334",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032601892"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0730-725x(97)00302-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034052768"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1001/archneurpsyc.1958.02340060003001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034656148"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/pbc.22198",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035551825"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/pbc.22198",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035551825"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s1076-6332(03)00506-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036115667"
],
"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/10.3390/toxins3030191",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042137974"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1200/jco.2009.26.3541",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043187529"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.compmedimag.2004.07.008",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044169924"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1215/s1152851702000601",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049181552"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/08830738030180070401",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1063854165"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/08830738030180070401",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1063854165"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/0883073809342005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1063854849"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/0883073809342005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1063854849"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1200/jco.2003.03.043",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064203446"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/01.wnl.0000049467.54667.92",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064344952"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/01.wnl.0000049467.54667.92",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064344952"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/01.wnl.0000049467.54667.92",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064344952"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1259/bjr.74.877.740024",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064567214"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1259/bjr/65246351",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064569867"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3171/foc-07/11/e2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1071083018"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3171/foc-07/11/e2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1071083018"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3171/foc-07/11/e2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1071083018"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3171/foc-07/11/e2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1071083018"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3171/foc-07/11/e2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1071083018"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1200/jco.2001.19.2.551",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1074768344"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/ptj/85.3.257",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1077013196"
],
"type": "CreativeWork"
}
],
"datePublished": "2016-02",
"datePublishedReg": "2016-02-01",
"description": "INTRODUCTION: Magnetic resonance (MR) images from children with optic pathway glioma (OPG) are complex. We initiated this study to evaluate the accuracy of MR imaging (MRI) interpretation and to propose a simple and reproducible imaging classification for MRI.\nMETHODS: We randomly selected 140 MRIs from among 510 MRIs performed on 104 children diagnosed with OPG in France from 1990 to 2004. These images were reviewed independently by three radiologists (F.T., 15 years of experience in neuroradiology; D.L., 25 years of experience in pediatric radiology; and J.L., 3 years of experience in radiology) using a classification derived from the Dodge and modified Dodge classifications. Intra- and interobserver reliabilities were assessed using the Bland-Altman method and the kappa coefficient. These reviews allowed the definition of reliable criteria for MRI interpretation.\nRESULTS: The reviews showed intraobserver variability and large discrepancies among the three radiologists (kappa coefficient varying from 0.11 to 1). These variabilities were too large for the interpretation to be considered reproducible over time or among observers. A consensual analysis, taking into account all observed variabilities, allowed the development of a definitive interpretation protocol. Using this revised protocol, we observed consistent intra- and interobserver results (kappa coefficient varying from 0.56 to 1). The mean interobserver difference for the solid portion of the tumor with contrast enhancement was 0.8 cm(3) (limits of agreement\u2009=\u2009-16 to 17).\nCONCLUSION: We propose simple and precise rules for improving the accuracy and reliability of MRI interpretation for children with OPG. Further studies will be necessary to investigate the possible prognostic value of this approach.",
"genre": "research_article",
"id": "sg:pub.10.1007/s00234-015-1612-7",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1055404",
"issn": [
"0028-3940",
"1432-1920"
],
"name": "Neuroradiology",
"type": "Periodical"
},
{
"issueNumber": "2",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "58"
}
],
"name": "Can we improve accuracy and reliability of MRI interpretation in children with optic pathway glioma? Proposal for a reproducible imaging classification",
"pagination": "197-208",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"8e7d6947b8976e9cdcb5409f18d164a285c439e04552f19f11af56c394f47644"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"26518314"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"1302751"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s00234-015-1612-7"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1029910235"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00234-015-1612-7",
"https://app.dimensions.ai/details/publication/pub.1029910235"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T18:15",
"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_8675_00000489.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007/s00234-015-1612-7"
}
]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/s00234-015-1612-7'
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/s00234-015-1612-7'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00234-015-1612-7'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00234-015-1612-7'
This table displays all metadata directly associated to this object as RDF triples.
268 TRIPLES
21 PREDICATES
71 URIs
33 LITERALS
21 BLANK NODES