Free-breathing cine CT for the diagnosis of tracheomalacia in young children View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-08

AUTHORS

Hyun Woo Goo

ABSTRACT

BACKGROUND: Tracheomalacia is characterized by excessive expiratory collapse of the trachea. OBJECTIVE: To investigate the accuracy of free-breathing cine CT for diagnosis of tracheomalacia in young children with bronchoscopy as reference standard. MATERIALS AND METHODS: In a retrospective study (May 2001-July 2008), a patient group (n = 27) of children with bronchoscopic evidence of tracheomalacia, and a control group (n = 320) underwent free-breathing cine CT. The tracheal shape on free-breathing cine CT was classified as round, lunate, elongated or crescentic. Cross-sectional area change of the trachea and age were compared between the groups and the diagnostic performance of free-breathing cine CT for tracheomalacia was evaluated. RESULTS: The patient group showed significantly greater cross-sectional area change of the trachea (57.2% ± 22.2% vs. 10.6% ± 11.2%, P < 0.001) than the control group. If a cross-sectional area change of the trachea of 31.6% was used as a cut-off value for the diagnosis of tracheomalacia, the sensitivity, specificity and accuracy of cine CT were 96.3% (26/27), 97.2% (311/320) and 97.1% (337/347), respectively. If a crescentic shape during the expiratory phase was used, the sensitivity, specificity and accuracy were 51.9% (14/27), 98.8% (316/320) and 95.1% (330/347), respectively. CONCLUSION: Free-breathing cine CT has potential to provide the diagnosis of tracheomalacia in young children. More... »

PAGES

922-928

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00247-013-2637-x

DOI

http://dx.doi.org/10.1007/s00247-013-2637-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1007263441

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23417231


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/2008/1701", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology and Cognitive Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Algorithms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child", 
        "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": "Infant", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Infant, Newborn", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiographic Image Enhancement", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiographic Image Interpretation, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Respiratory Mechanics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tracheomalacia", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Video Recording", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Asan Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.413967.e", 
          "name": [
            "Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Goo", 
        "givenName": "Hyun Woo", 
        "id": "sg:person.0734225244.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734225244.44"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.3348/kjr.2010.11.1.4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001431065"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3348/kjr.2010.11.1.4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001431065"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.acra.2009.11.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015779101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2513081280", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018770098"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003300100818", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029123158", 
          "https://doi.org/10.1007/s003300100818"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rti.0b013e31817fbdf7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031476685"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rti.0b013e31817fbdf7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031476685"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.rti.0000213647.42041.d0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032923261"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.rti.0000213647.42041.d0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032923261"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3348/kjr.2012.13.1.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034698770"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejcts.2005.04.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036651185"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rti.0b013e3181653c41", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041031745"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rti.0b013e3181653c41", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041031745"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.otohns.2007.12.039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044355359"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.otohns.2007.12.039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044355359"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.otohns.2007.12.039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044355359"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2352040309", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045608781"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02010315", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048069280", 
          "https://doi.org/10.1007/bf02010315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02010315", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048069280", 
          "https://doi.org/10.1007/bf02010315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.127.3.984", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049215989"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2521081958", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051173132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.05.0852", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069297708"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.05.0895", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069297721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.05.1456", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069297885"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.11.8014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069302183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082866501", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-08", 
    "datePublishedReg": "2013-08-01", 
    "description": "BACKGROUND: Tracheomalacia is characterized by excessive expiratory collapse of the trachea.\nOBJECTIVE: To investigate the accuracy of free-breathing cine CT for diagnosis of tracheomalacia in young children with bronchoscopy as reference standard.\nMATERIALS AND METHODS: In a retrospective study (May 2001-July 2008), a patient group (n\u2009=\u200927) of children with bronchoscopic evidence of tracheomalacia, and a control group (n\u2009=\u2009320) underwent free-breathing cine CT. The tracheal shape on free-breathing cine CT was classified as round, lunate, elongated or crescentic. Cross-sectional area change of the trachea and age were compared between the groups and the diagnostic performance of free-breathing cine CT for tracheomalacia was evaluated.\nRESULTS: The patient group showed significantly greater cross-sectional area change of the trachea (57.2%\u2009\u00b1\u200922.2% vs. 10.6%\u2009\u00b1\u200911.2%, P\u2009<\u20090.001) than the control group. If a cross-sectional area change of the trachea of 31.6% was used as a cut-off value for the diagnosis of tracheomalacia, the sensitivity, specificity and accuracy of cine CT were 96.3% (26/27), 97.2% (311/320) and 97.1% (337/347), respectively. If a crescentic shape during the expiratory phase was used, the sensitivity, specificity and accuracy were 51.9% (14/27), 98.8% (316/320) and 95.1% (330/347), respectively.\nCONCLUSION: Free-breathing cine CT has potential to provide the diagnosis of tracheomalacia in young children.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00247-013-2637-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1016713", 
        "issn": [
          "0301-0449", 
          "1432-1998"
        ], 
        "name": "Pediatric Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "8", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "43"
      }
    ], 
    "name": "Free-breathing cine CT for the diagnosis of tracheomalacia in young children", 
    "pagination": "922-928", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2299085c484e3712a051104940ab576f93c0fea5914fb6a1128af4e5ecfe05ad"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23417231"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0365332"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00247-013-2637-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1007263441"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00247-013-2637-x", 
      "https://app.dimensions.ai/details/publication/pub.1007263441"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:00", 
    "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_8681_00000530.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00247-013-2637-x"
  }
]
 

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/s00247-013-2637-x'

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/s00247-013-2637-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00247-013-2637-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00247-013-2637-x'


 

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

191 TRIPLES      21 PREDICATES      64 URIs      37 LITERALS      25 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00247-013-2637-x schema:about N174f411f0b5841eb8bf18bbb3e371d1f
2 N228b833e668047f3b36aced1746112cc
3 N2339bb91f32942ed82d42e36f7ad364e
4 N244f06664f334a1d8430fb8c4248fa28
5 N2c70a5ba7dfa43cd860c8998a6abb9d7
6 N3c9bcca91aab45da95816c8aa613def5
7 N683484da01124e4f83ca25a04b8beb1f
8 N7762831c1d8d45fd97d6fdf34b9b0fab
9 N8a0d49f00ae743bca953832af1fa6a99
10 N8aaf7b7e165049738d43692375a02afb
11 N8f3e9bd55c1941058f16dcddecd2c79b
12 N92b9a3c9b2744955b4f984376fa21d4e
13 Na9eb75994c904442b244f63b879be536
14 Nc21c5aa9a8864d289611f64fe75c15ef
15 Ncdce39618c0840d49902a85735c909fb
16 Nedfeb215088442f2a43c0618d9271f02
17 anzsrc-for:17
18 anzsrc-for:1701
19 schema:author N0f9f64ccdbba4cd4992c2c3fdf98e426
20 schema:citation sg:pub.10.1007/bf02010315
21 sg:pub.10.1007/s003300100818
22 https://app.dimensions.ai/details/publication/pub.1082866501
23 https://doi.org/10.1016/j.acra.2009.11.014
24 https://doi.org/10.1016/j.ejcts.2005.04.003
25 https://doi.org/10.1016/j.otohns.2007.12.039
26 https://doi.org/10.1097/01.rti.0000213647.42041.d0
27 https://doi.org/10.1097/rti.0b013e3181653c41
28 https://doi.org/10.1097/rti.0b013e31817fbdf7
29 https://doi.org/10.1148/radiol.2352040309
30 https://doi.org/10.1148/radiol.2513081280
31 https://doi.org/10.1148/radiol.2521081958
32 https://doi.org/10.1378/chest.127.3.984
33 https://doi.org/10.2214/ajr.05.0852
34 https://doi.org/10.2214/ajr.05.0895
35 https://doi.org/10.2214/ajr.05.1456
36 https://doi.org/10.2214/ajr.11.8014
37 https://doi.org/10.3348/kjr.2010.11.1.4
38 https://doi.org/10.3348/kjr.2012.13.1.1
39 schema:datePublished 2013-08
40 schema:datePublishedReg 2013-08-01
41 schema:description BACKGROUND: Tracheomalacia is characterized by excessive expiratory collapse of the trachea. OBJECTIVE: To investigate the accuracy of free-breathing cine CT for diagnosis of tracheomalacia in young children with bronchoscopy as reference standard. MATERIALS AND METHODS: In a retrospective study (May 2001-July 2008), a patient group (n = 27) of children with bronchoscopic evidence of tracheomalacia, and a control group (n = 320) underwent free-breathing cine CT. The tracheal shape on free-breathing cine CT was classified as round, lunate, elongated or crescentic. Cross-sectional area change of the trachea and age were compared between the groups and the diagnostic performance of free-breathing cine CT for tracheomalacia was evaluated. RESULTS: The patient group showed significantly greater cross-sectional area change of the trachea (57.2% ± 22.2% vs. 10.6% ± 11.2%, P < 0.001) than the control group. If a cross-sectional area change of the trachea of 31.6% was used as a cut-off value for the diagnosis of tracheomalacia, the sensitivity, specificity and accuracy of cine CT were 96.3% (26/27), 97.2% (311/320) and 97.1% (337/347), respectively. If a crescentic shape during the expiratory phase was used, the sensitivity, specificity and accuracy were 51.9% (14/27), 98.8% (316/320) and 95.1% (330/347), respectively. CONCLUSION: Free-breathing cine CT has potential to provide the diagnosis of tracheomalacia in young children.
42 schema:genre research_article
43 schema:inLanguage en
44 schema:isAccessibleForFree false
45 schema:isPartOf N620707cef413414a8d5651450219ee79
46 Nf521695b53024571878a84e5bf4640e0
47 sg:journal.1016713
48 schema:name Free-breathing cine CT for the diagnosis of tracheomalacia in young children
49 schema:pagination 922-928
50 schema:productId N2f34e4a7f5734527bd3f1f834ce7f3b5
51 N50bdebf7a71d430f84ccadeed3abcc75
52 N9b271c9f3491438c86a8d5046b38f5ad
53 N9b941bd8c3164422b4bba5bdc11b7c72
54 Nbfda35b6317848098fc8e176d6c1292c
55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007263441
56 https://doi.org/10.1007/s00247-013-2637-x
57 schema:sdDatePublished 2019-04-10T20:00
58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
59 schema:sdPublisher Ncf65ae8028044f428fdb4406a4853b0d
60 schema:url http://link.springer.com/10.1007%2Fs00247-013-2637-x
61 sgo:license sg:explorer/license/
62 sgo:sdDataset articles
63 rdf:type schema:ScholarlyArticle
64 N0f9f64ccdbba4cd4992c2c3fdf98e426 rdf:first sg:person.0734225244.44
65 rdf:rest rdf:nil
66 N174f411f0b5841eb8bf18bbb3e371d1f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
67 schema:name Respiratory Mechanics
68 rdf:type schema:DefinedTerm
69 N228b833e668047f3b36aced1746112cc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
70 schema:name Child, Preschool
71 rdf:type schema:DefinedTerm
72 N2339bb91f32942ed82d42e36f7ad364e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Female
74 rdf:type schema:DefinedTerm
75 N244f06664f334a1d8430fb8c4248fa28 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Algorithms
77 rdf:type schema:DefinedTerm
78 N2c70a5ba7dfa43cd860c8998a6abb9d7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Infant
80 rdf:type schema:DefinedTerm
81 N2f34e4a7f5734527bd3f1f834ce7f3b5 schema:name doi
82 schema:value 10.1007/s00247-013-2637-x
83 rdf:type schema:PropertyValue
84 N3c9bcca91aab45da95816c8aa613def5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Child
86 rdf:type schema:DefinedTerm
87 N50bdebf7a71d430f84ccadeed3abcc75 schema:name readcube_id
88 schema:value 2299085c484e3712a051104940ab576f93c0fea5914fb6a1128af4e5ecfe05ad
89 rdf:type schema:PropertyValue
90 N620707cef413414a8d5651450219ee79 schema:issueNumber 8
91 rdf:type schema:PublicationIssue
92 N683484da01124e4f83ca25a04b8beb1f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Tracheomalacia
94 rdf:type schema:DefinedTerm
95 N7762831c1d8d45fd97d6fdf34b9b0fab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Humans
97 rdf:type schema:DefinedTerm
98 N8a0d49f00ae743bca953832af1fa6a99 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Male
100 rdf:type schema:DefinedTerm
101 N8aaf7b7e165049738d43692375a02afb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Video Recording
103 rdf:type schema:DefinedTerm
104 N8f3e9bd55c1941058f16dcddecd2c79b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Infant, Newborn
106 rdf:type schema:DefinedTerm
107 N92b9a3c9b2744955b4f984376fa21d4e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Sensitivity and Specificity
109 rdf:type schema:DefinedTerm
110 N9b271c9f3491438c86a8d5046b38f5ad schema:name nlm_unique_id
111 schema:value 0365332
112 rdf:type schema:PropertyValue
113 N9b941bd8c3164422b4bba5bdc11b7c72 schema:name pubmed_id
114 schema:value 23417231
115 rdf:type schema:PropertyValue
116 Na9eb75994c904442b244f63b879be536 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Radiographic Image Interpretation, Computer-Assisted
118 rdf:type schema:DefinedTerm
119 Nbfda35b6317848098fc8e176d6c1292c schema:name dimensions_id
120 schema:value pub.1007263441
121 rdf:type schema:PropertyValue
122 Nc21c5aa9a8864d289611f64fe75c15ef schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Tomography, X-Ray Computed
124 rdf:type schema:DefinedTerm
125 Ncdce39618c0840d49902a85735c909fb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Reproducibility of Results
127 rdf:type schema:DefinedTerm
128 Ncf65ae8028044f428fdb4406a4853b0d schema:name Springer Nature - SN SciGraph project
129 rdf:type schema:Organization
130 Nedfeb215088442f2a43c0618d9271f02 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Radiographic Image Enhancement
132 rdf:type schema:DefinedTerm
133 Nf521695b53024571878a84e5bf4640e0 schema:volumeNumber 43
134 rdf:type schema:PublicationVolume
135 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
136 schema:name Psychology and Cognitive Sciences
137 rdf:type schema:DefinedTerm
138 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
139 schema:name Psychology
140 rdf:type schema:DefinedTerm
141 sg:journal.1016713 schema:issn 0301-0449
142 1432-1998
143 schema:name Pediatric Radiology
144 rdf:type schema:Periodical
145 sg:person.0734225244.44 schema:affiliation https://www.grid.ac/institutes/grid.413967.e
146 schema:familyName Goo
147 schema:givenName Hyun Woo
148 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734225244.44
149 rdf:type schema:Person
150 sg:pub.10.1007/bf02010315 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048069280
151 https://doi.org/10.1007/bf02010315
152 rdf:type schema:CreativeWork
153 sg:pub.10.1007/s003300100818 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029123158
154 https://doi.org/10.1007/s003300100818
155 rdf:type schema:CreativeWork
156 https://app.dimensions.ai/details/publication/pub.1082866501 schema:CreativeWork
157 https://doi.org/10.1016/j.acra.2009.11.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015779101
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1016/j.ejcts.2005.04.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036651185
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/j.otohns.2007.12.039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044355359
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1097/01.rti.0000213647.42041.d0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032923261
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1097/rti.0b013e3181653c41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041031745
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1097/rti.0b013e31817fbdf7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031476685
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1148/radiol.2352040309 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045608781
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1148/radiol.2513081280 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018770098
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1148/radiol.2521081958 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051173132
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1378/chest.127.3.984 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049215989
176 rdf:type schema:CreativeWork
177 https://doi.org/10.2214/ajr.05.0852 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069297708
178 rdf:type schema:CreativeWork
179 https://doi.org/10.2214/ajr.05.0895 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069297721
180 rdf:type schema:CreativeWork
181 https://doi.org/10.2214/ajr.05.1456 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069297885
182 rdf:type schema:CreativeWork
183 https://doi.org/10.2214/ajr.11.8014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069302183
184 rdf:type schema:CreativeWork
185 https://doi.org/10.3348/kjr.2010.11.1.4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001431065
186 rdf:type schema:CreativeWork
187 https://doi.org/10.3348/kjr.2012.13.1.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034698770
188 rdf:type schema:CreativeWork
189 https://www.grid.ac/institutes/grid.413967.e schema:alternateName Asan Medical Center
190 schema:name Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea
191 rdf:type schema:Organization
 




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


...