Comparison of diagnostic performance of CT and MRI for abdominal staging of pediatric renal tumors: a report from the Children’s ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-02

AUTHORS

Sabah Servaes, Geetika Khanna, Arlene Naranjo, James I. Geller, Peter F. Ehrlich, Kenneth W. Gow, Elizabeth J. Perlman, Jeffrey S. Dome, Eric Gratias, Elizabeth A. Mullen

ABSTRACT

BACKGROUND: CT and MRI are both used for abdominal staging of pediatric renal tumors. The diagnostic performance of the two modalities for local and regional staging of renal tumors has not been systematically evaluated. OBJECTIVE: To compare the diagnostic performance of CT and MRI for local staging of pediatric renal tumors. MATERIALS AND METHODS: The study population was derived from the AREN03B2 study of the Children's Oncology Group. Baseline abdominal imaging performed with both CT and MRI within 30 days of nephrectomy was available for retrospective review in 82 renal tumor cases. Each case was evaluated for capsular penetration, lymph node metastasis, tumor thrombus, preoperative tumor rupture, and synchronous contralateral lesions. The surgical and pathological findings at central review were the reference standard. RESULTS: The sensitivity of CT and MRI for detecting capsular penetration was 68.6% and 62.9%, respectively (P = 0.73), while specificity was 86.5% and 83.8% (P = 1.0). The sensitivity of CT and MRI for detecting lymph node metastasis was 76.5% and 52.9% (P = 0.22), and specificity was 90.4% and 92.3% (P = 1.0). Synchronous contralateral lesions were identified by CT in 4/9 cases and by MRI in 7/9 cases. CONCLUSION: CT and MRI have similar diagnostic performance for detection of lymph node metastasis and capsular penetration. MR detected more contralateral synchronous lesions; however these were present in a very small number of cases. Either modality can be used for initial loco-regional staging of pediatric renal tumors. More... »

PAGES

166-172

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00247-014-3138-2

DOI

http://dx.doi.org/10.1007/s00247-014-3138-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1029323383

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25135711


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/2008/1103", 
        "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": "Adolescent", 
        "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": "Kidney Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lymphatic Metastasis", 
        "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": "Neoplasm Invasiveness", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Staging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasms, Multiple Primary", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiography, Abdominal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "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": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Children's Hospital of Philadelphia", 
          "id": "https://www.grid.ac/institutes/grid.239552.a", 
          "name": [
            "Department of Radiology, Children\u2019s Hospital of Philadelphia, Philadelphia, PA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Servaes", 
        "givenName": "Sabah", 
        "id": "sg:person.01156602503.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01156602503.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Pediatric Radiology, St. Louis Children\u2019s Hospital, Mallinckrodt Institute for Radiology, Washington University School of Medicine, 510\u00a0S. Kingshighway, Campus Box 8131-MIR, 63110, St. Louis, MO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Khanna", 
        "givenName": "Geetika", 
        "id": "sg:person.01136476410.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136476410.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Florida", 
          "id": "https://www.grid.ac/institutes/grid.15276.37", 
          "name": [
            "Department of Biostatistics, University of Florida, Gainesville, FL, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Naranjo", 
        "givenName": "Arlene", 
        "id": "sg:person.01157107214.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157107214.98"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cincinnati Children's Hospital Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.239573.9", 
          "name": [
            "Division of Oncology, Cincinnati Children\u2019s Hospital Medical Center, Cincinnati, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Geller", 
        "givenName": "James I.", 
        "id": "sg:person.01363312310.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01363312310.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Michigan\u2013Ann Arbor", 
          "id": "https://www.grid.ac/institutes/grid.214458.e", 
          "name": [
            "Department of Surgery, C.S. Mott Children\u2019s Hospital, University of Michigan, Ann Arbor, MI, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ehrlich", 
        "givenName": "Peter F.", 
        "id": "sg:person.01074527550.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074527550.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seattle Children's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.240741.4", 
          "name": [
            "Pediatric Surgery, Seattle Children\u2019s Hospital, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gow", 
        "givenName": "Kenneth W.", 
        "id": "sg:person.0577615451.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577615451.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Lurie Children's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.413808.6", 
          "name": [
            "Department of Pathology, Ann & Robert H. Lurie Children\u2019s Hospital of Chicago, Chicago, IL, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Perlman", 
        "givenName": "Elizabeth J.", 
        "id": "sg:person.01361007034.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361007034.71"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Children\u2019s National Health System", 
          "id": "https://www.grid.ac/institutes/grid.239560.b", 
          "name": [
            "Center for Cancer and Blood Disorders, Children\u2019s National Medical Center, Washington, DC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dome", 
        "givenName": "Jeffrey S.", 
        "id": "sg:person.0632564577.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632564577.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harvard University", 
          "id": "https://www.grid.ac/institutes/grid.38142.3c", 
          "name": [
            "Dana Farber Cancer Institute and Boston Children\u2019s Hospital, Harvard University, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gratias", 
        "givenName": "Eric", 
        "id": "sg:person.0706021410.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0706021410.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harvard University", 
          "id": "https://www.grid.ac/institutes/grid.38142.3c", 
          "name": [
            "Dana Farber Cancer Institute and Boston Children\u2019s Hospital, Harvard University, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mullen", 
        "givenName": "Elizabeth A.", 
        "id": "sg:person.01247063710.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01247063710.64"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.crad.2012.05.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004968950"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0258(19980430)17:8<857::aid-sim777>3.0.co;2-e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007640584"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-003-2001-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010448723", 
          "https://doi.org/10.1007/s00330-003-2001-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-003-2001-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010448723", 
          "https://doi.org/10.1007/s00330-003-2001-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/jpsu.2000.5941", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014561525"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/jpsu.2000.5941", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014561525"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002470050378", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019872562", 
          "https://doi.org/10.1007/s002470050378"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-007-0687-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028765247", 
          "https://doi.org/10.1007/s00247-007-0687-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-007-0687-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028765247", 
          "https://doi.org/10.1007/s00247-007-0687-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ju.0000179536.97629.c5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032905946"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ju.0000179536.97629.c5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032905946"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ju.0000179536.97629.c5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032905946"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-011-2160-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037026373", 
          "https://doi.org/10.1007/s00247-011-2160-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7863/jum.2007.26.5.581", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038914615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2011.41.1165", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046405779"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-007-0677-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048071196", 
          "https://doi.org/10.1007/s00247-007-0677-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-007-0677-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048071196", 
          "https://doi.org/10.1007/s00247-007-0677-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pbc.23222", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051426784"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.12120670", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053084417"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000658-199902000-00019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060134966"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000658-199902000-00019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060134966"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000658-199902000-00019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060134966"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-02", 
    "datePublishedReg": "2015-02-01", 
    "description": "BACKGROUND: CT and MRI are both used for abdominal staging of pediatric renal tumors. The diagnostic performance of the two modalities for local and regional staging of renal tumors has not been systematically evaluated.\nOBJECTIVE: To compare the diagnostic performance of CT and MRI for local staging of pediatric renal tumors.\nMATERIALS AND METHODS: The study population was derived from the AREN03B2 study of the Children's Oncology Group. Baseline abdominal imaging performed with both CT and MRI within 30 days of nephrectomy was available for retrospective review in 82 renal tumor cases. Each case was evaluated for capsular penetration, lymph node metastasis, tumor thrombus, preoperative tumor rupture, and synchronous contralateral lesions. The surgical and pathological findings at central review were the reference standard.\nRESULTS: The sensitivity of CT and MRI for detecting capsular penetration was 68.6% and 62.9%, respectively (P\u2009=\u20090.73), while specificity was 86.5% and 83.8% (P\u2009=\u20091.0). The sensitivity of CT and MRI for detecting lymph node metastasis was 76.5% and 52.9% (P\u2009=\u20090.22), and specificity was 90.4% and 92.3% (P\u2009=\u20091.0). Synchronous contralateral lesions were identified by CT in 4/9 cases and by MRI in 7/9 cases.\nCONCLUSION: CT and MRI have similar diagnostic performance for detection of lymph node metastasis and capsular penetration. MR detected more contralateral synchronous lesions; however these were present in a very small number of cases. Either modality can be used for initial loco-regional staging of pediatric renal tumors.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00247-014-3138-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2693699", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3536120", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2693335", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3535922", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2693700", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1016713", 
        "issn": [
          "0301-0449", 
          "1432-1998"
        ], 
        "name": "Pediatric Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "45"
      }
    ], 
    "name": "Comparison of diagnostic performance of CT and MRI for abdominal staging of pediatric renal tumors: a report from the Children\u2019s Oncology Group", 
    "pagination": "166-172", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "8bb1040b4aca14ca28a959c758ce58d8876aac4d1b40b51f9247d69d5a30cf1d"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25135711"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0365332"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00247-014-3138-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1029323383"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00247-014-3138-2", 
      "https://app.dimensions.ai/details/publication/pub.1029323383"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:03", 
    "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/v90/0000000352_0000000352/records_60357_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00247-014-3138-2"
  }
]
 

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/s00247-014-3138-2'

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/s00247-014-3138-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00247-014-3138-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00247-014-3138-2'


 

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

284 TRIPLES      21 PREDICATES      61 URIs      39 LITERALS      27 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00247-014-3138-2 schema:about N0dd274df51c545648e055c1f73e6c13b
2 N0e2e509baf2249ed890dba36873e4ffd
3 N2ca9c0999dd3417cacd2f4a0a8b2e11d
4 N375234daa06d469793f3f216174e82ce
5 N39dab7c235e94e99a8cc75e186ee63df
6 N4207258170f24f19995c7dbcbb716853
7 N4bf0b382ecee47fabfccf531835ec6a6
8 N629c38afe4144ec290080d55267cbef9
9 N6a8d0298714f481cbf6d8cf6e81d816a
10 N717c4395da47439d914a25c8d8c5f302
11 N842ff28cff2e4837b3b7f144aec581c4
12 N89d224c285d94baf9c8765c866abe170
13 Nb25bc64fb21c4c49bc7903b385bfeb3b
14 Nb4433645702f4c02bcbbf80699f340a4
15 Nb986334250354556a253dd230408b0a3
16 Nc19137a0363b4201978701b56d5aeab2
17 Nd956b0a28c994db798582198714c7eff
18 Ne8748d155e374b04b119f3fd169d9ecf
19 anzsrc-for:11
20 anzsrc-for:1103
21 schema:author N6ff45f9573aa4423800ef80d3a36972a
22 schema:citation sg:pub.10.1007/s00247-007-0677-9
23 sg:pub.10.1007/s00247-007-0687-7
24 sg:pub.10.1007/s00247-011-2160-x
25 sg:pub.10.1007/s002470050378
26 sg:pub.10.1007/s00330-003-2001-x
27 https://doi.org/10.1002/(sici)1097-0258(19980430)17:8<857::aid-sim777>3.0.co;2-e
28 https://doi.org/10.1002/pbc.23222
29 https://doi.org/10.1016/j.crad.2012.05.006
30 https://doi.org/10.1053/jpsu.2000.5941
31 https://doi.org/10.1097/00000658-199902000-00019
32 https://doi.org/10.1097/01.ju.0000179536.97629.c5
33 https://doi.org/10.1148/radiol.12120670
34 https://doi.org/10.1200/jco.2011.41.1165
35 https://doi.org/10.7863/jum.2007.26.5.581
36 schema:datePublished 2015-02
37 schema:datePublishedReg 2015-02-01
38 schema:description BACKGROUND: CT and MRI are both used for abdominal staging of pediatric renal tumors. The diagnostic performance of the two modalities for local and regional staging of renal tumors has not been systematically evaluated. OBJECTIVE: To compare the diagnostic performance of CT and MRI for local staging of pediatric renal tumors. MATERIALS AND METHODS: The study population was derived from the AREN03B2 study of the Children's Oncology Group. Baseline abdominal imaging performed with both CT and MRI within 30 days of nephrectomy was available for retrospective review in 82 renal tumor cases. Each case was evaluated for capsular penetration, lymph node metastasis, tumor thrombus, preoperative tumor rupture, and synchronous contralateral lesions. The surgical and pathological findings at central review were the reference standard. RESULTS: The sensitivity of CT and MRI for detecting capsular penetration was 68.6% and 62.9%, respectively (P = 0.73), while specificity was 86.5% and 83.8% (P = 1.0). The sensitivity of CT and MRI for detecting lymph node metastasis was 76.5% and 52.9% (P = 0.22), and specificity was 90.4% and 92.3% (P = 1.0). Synchronous contralateral lesions were identified by CT in 4/9 cases and by MRI in 7/9 cases. CONCLUSION: CT and MRI have similar diagnostic performance for detection of lymph node metastasis and capsular penetration. MR detected more contralateral synchronous lesions; however these were present in a very small number of cases. Either modality can be used for initial loco-regional staging of pediatric renal tumors.
39 schema:genre research_article
40 schema:inLanguage en
41 schema:isAccessibleForFree true
42 schema:isPartOf N953fed0278604edd8a940e626c3e73ce
43 Ncc23e0f7b5f24a4697dbcbca7aeec343
44 sg:journal.1016713
45 schema:name Comparison of diagnostic performance of CT and MRI for abdominal staging of pediatric renal tumors: a report from the Children’s Oncology Group
46 schema:pagination 166-172
47 schema:productId N1e26a29482e84910983018ac295a60c2
48 N288924f1502b40ce80a0845bc41a3980
49 Nbf9e74c470c04195bec22bef3c0f64ee
50 Nc6f6d9645ff24a489ef2055142fd9554
51 Ndeee653ea0de49fdac21be910836e3cd
52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029323383
53 https://doi.org/10.1007/s00247-014-3138-2
54 schema:sdDatePublished 2019-04-11T11:03
55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
56 schema:sdPublisher N295de2d2ac124ca69fba40b431e051ee
57 schema:url http://link.springer.com/10.1007%2Fs00247-014-3138-2
58 sgo:license sg:explorer/license/
59 sgo:sdDataset articles
60 rdf:type schema:ScholarlyArticle
61 N0dd274df51c545648e055c1f73e6c13b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
62 schema:name Sensitivity and Specificity
63 rdf:type schema:DefinedTerm
64 N0e2e509baf2249ed890dba36873e4ffd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
65 schema:name Neoplasm Staging
66 rdf:type schema:DefinedTerm
67 N1e26a29482e84910983018ac295a60c2 schema:name pubmed_id
68 schema:value 25135711
69 rdf:type schema:PropertyValue
70 N288924f1502b40ce80a0845bc41a3980 schema:name nlm_unique_id
71 schema:value 0365332
72 rdf:type schema:PropertyValue
73 N295de2d2ac124ca69fba40b431e051ee schema:name Springer Nature - SN SciGraph project
74 rdf:type schema:Organization
75 N2ca9c0999dd3417cacd2f4a0a8b2e11d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Neoplasms, Multiple Primary
77 rdf:type schema:DefinedTerm
78 N375234daa06d469793f3f216174e82ce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Lymphatic Metastasis
80 rdf:type schema:DefinedTerm
81 N39dab7c235e94e99a8cc75e186ee63df schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Child
83 rdf:type schema:DefinedTerm
84 N4207258170f24f19995c7dbcbb716853 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Kidney Neoplasms
86 rdf:type schema:DefinedTerm
87 N4bf0b382ecee47fabfccf531835ec6a6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Humans
89 rdf:type schema:DefinedTerm
90 N5b3a656606474ab2a886fb5aea8335f9 rdf:first sg:person.0706021410.97
91 rdf:rest Nbec7e5371aaf46b6af265f2b54998b0d
92 N629c38afe4144ec290080d55267cbef9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Tomography, X-Ray Computed
94 rdf:type schema:DefinedTerm
95 N6a8d0298714f481cbf6d8cf6e81d816a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Magnetic Resonance Imaging
97 rdf:type schema:DefinedTerm
98 N6ff45f9573aa4423800ef80d3a36972a rdf:first sg:person.01156602503.18
99 rdf:rest N79c996f9beff46fc8bc997caa7f98a37
100 N717c4395da47439d914a25c8d8c5f302 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Child, Preschool
102 rdf:type schema:DefinedTerm
103 N79c996f9beff46fc8bc997caa7f98a37 rdf:first sg:person.01136476410.09
104 rdf:rest N9ecdb246da234978b183d353f6a86830
105 N842ff28cff2e4837b3b7f144aec581c4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Adolescent
107 rdf:type schema:DefinedTerm
108 N89d224c285d94baf9c8765c866abe170 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Neoplasm Invasiveness
110 rdf:type schema:DefinedTerm
111 N8de3394ca39040c7a61cd94115901bf9 schema:name Pediatric Radiology, St. Louis Children’s Hospital, Mallinckrodt Institute for Radiology, Washington University School of Medicine, 510 S. Kingshighway, Campus Box 8131-MIR, 63110, St. Louis, MO, USA
112 rdf:type schema:Organization
113 N953fed0278604edd8a940e626c3e73ce schema:issueNumber 2
114 rdf:type schema:PublicationIssue
115 N9ecdb246da234978b183d353f6a86830 rdf:first sg:person.01157107214.98
116 rdf:rest Nec0380ce00a24d0b997610e6a6a1f59e
117 Nb1a0227bd3924b9b934ee6a3e763238c rdf:first sg:person.0577615451.58
118 rdf:rest Nc5f9c5fddad246048ba2385154722e56
119 Nb25bc64fb21c4c49bc7903b385bfeb3b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Infant
121 rdf:type schema:DefinedTerm
122 Nb4433645702f4c02bcbbf80699f340a4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Young Adult
124 rdf:type schema:DefinedTerm
125 Nb986334250354556a253dd230408b0a3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Retrospective Studies
127 rdf:type schema:DefinedTerm
128 Nbec7e5371aaf46b6af265f2b54998b0d rdf:first sg:person.01247063710.64
129 rdf:rest rdf:nil
130 Nbf9e74c470c04195bec22bef3c0f64ee schema:name readcube_id
131 schema:value 8bb1040b4aca14ca28a959c758ce58d8876aac4d1b40b51f9247d69d5a30cf1d
132 rdf:type schema:PropertyValue
133 Nc19137a0363b4201978701b56d5aeab2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Radiography, Abdominal
135 rdf:type schema:DefinedTerm
136 Nc34891c3317b438e8773a039aa890760 rdf:first sg:person.01074527550.46
137 rdf:rest Nb1a0227bd3924b9b934ee6a3e763238c
138 Nc5f9c5fddad246048ba2385154722e56 rdf:first sg:person.01361007034.71
139 rdf:rest Nec23a894f4324d9f846a85fdb4485659
140 Nc6f6d9645ff24a489ef2055142fd9554 schema:name doi
141 schema:value 10.1007/s00247-014-3138-2
142 rdf:type schema:PropertyValue
143 Ncc23e0f7b5f24a4697dbcbca7aeec343 schema:volumeNumber 45
144 rdf:type schema:PublicationVolume
145 Nd956b0a28c994db798582198714c7eff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Male
147 rdf:type schema:DefinedTerm
148 Ndeee653ea0de49fdac21be910836e3cd schema:name dimensions_id
149 schema:value pub.1029323383
150 rdf:type schema:PropertyValue
151 Ne8748d155e374b04b119f3fd169d9ecf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Female
153 rdf:type schema:DefinedTerm
154 Nec0380ce00a24d0b997610e6a6a1f59e rdf:first sg:person.01363312310.24
155 rdf:rest Nc34891c3317b438e8773a039aa890760
156 Nec23a894f4324d9f846a85fdb4485659 rdf:first sg:person.0632564577.34
157 rdf:rest N5b3a656606474ab2a886fb5aea8335f9
158 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
159 schema:name Medical and Health Sciences
160 rdf:type schema:DefinedTerm
161 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
162 schema:name Clinical Sciences
163 rdf:type schema:DefinedTerm
164 sg:grant.2693335 http://pending.schema.org/fundedItem sg:pub.10.1007/s00247-014-3138-2
165 rdf:type schema:MonetaryGrant
166 sg:grant.2693699 http://pending.schema.org/fundedItem sg:pub.10.1007/s00247-014-3138-2
167 rdf:type schema:MonetaryGrant
168 sg:grant.2693700 http://pending.schema.org/fundedItem sg:pub.10.1007/s00247-014-3138-2
169 rdf:type schema:MonetaryGrant
170 sg:grant.3535922 http://pending.schema.org/fundedItem sg:pub.10.1007/s00247-014-3138-2
171 rdf:type schema:MonetaryGrant
172 sg:grant.3536120 http://pending.schema.org/fundedItem sg:pub.10.1007/s00247-014-3138-2
173 rdf:type schema:MonetaryGrant
174 sg:journal.1016713 schema:issn 0301-0449
175 1432-1998
176 schema:name Pediatric Radiology
177 rdf:type schema:Periodical
178 sg:person.01074527550.46 schema:affiliation https://www.grid.ac/institutes/grid.214458.e
179 schema:familyName Ehrlich
180 schema:givenName Peter F.
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074527550.46
182 rdf:type schema:Person
183 sg:person.01136476410.09 schema:affiliation N8de3394ca39040c7a61cd94115901bf9
184 schema:familyName Khanna
185 schema:givenName Geetika
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136476410.09
187 rdf:type schema:Person
188 sg:person.01156602503.18 schema:affiliation https://www.grid.ac/institutes/grid.239552.a
189 schema:familyName Servaes
190 schema:givenName Sabah
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01156602503.18
192 rdf:type schema:Person
193 sg:person.01157107214.98 schema:affiliation https://www.grid.ac/institutes/grid.15276.37
194 schema:familyName Naranjo
195 schema:givenName Arlene
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157107214.98
197 rdf:type schema:Person
198 sg:person.01247063710.64 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
199 schema:familyName Mullen
200 schema:givenName Elizabeth A.
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01247063710.64
202 rdf:type schema:Person
203 sg:person.01361007034.71 schema:affiliation https://www.grid.ac/institutes/grid.413808.6
204 schema:familyName Perlman
205 schema:givenName Elizabeth J.
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361007034.71
207 rdf:type schema:Person
208 sg:person.01363312310.24 schema:affiliation https://www.grid.ac/institutes/grid.239573.9
209 schema:familyName Geller
210 schema:givenName James I.
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01363312310.24
212 rdf:type schema:Person
213 sg:person.0577615451.58 schema:affiliation https://www.grid.ac/institutes/grid.240741.4
214 schema:familyName Gow
215 schema:givenName Kenneth W.
216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577615451.58
217 rdf:type schema:Person
218 sg:person.0632564577.34 schema:affiliation https://www.grid.ac/institutes/grid.239560.b
219 schema:familyName Dome
220 schema:givenName Jeffrey S.
221 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632564577.34
222 rdf:type schema:Person
223 sg:person.0706021410.97 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
224 schema:familyName Gratias
225 schema:givenName Eric
226 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0706021410.97
227 rdf:type schema:Person
228 sg:pub.10.1007/s00247-007-0677-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048071196
229 https://doi.org/10.1007/s00247-007-0677-9
230 rdf:type schema:CreativeWork
231 sg:pub.10.1007/s00247-007-0687-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028765247
232 https://doi.org/10.1007/s00247-007-0687-7
233 rdf:type schema:CreativeWork
234 sg:pub.10.1007/s00247-011-2160-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1037026373
235 https://doi.org/10.1007/s00247-011-2160-x
236 rdf:type schema:CreativeWork
237 sg:pub.10.1007/s002470050378 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019872562
238 https://doi.org/10.1007/s002470050378
239 rdf:type schema:CreativeWork
240 sg:pub.10.1007/s00330-003-2001-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1010448723
241 https://doi.org/10.1007/s00330-003-2001-x
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1002/(sici)1097-0258(19980430)17:8<857::aid-sim777>3.0.co;2-e schema:sameAs https://app.dimensions.ai/details/publication/pub.1007640584
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1002/pbc.23222 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051426784
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1016/j.crad.2012.05.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004968950
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1053/jpsu.2000.5941 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014561525
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1097/00000658-199902000-00019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060134966
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1097/01.ju.0000179536.97629.c5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032905946
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1148/radiol.12120670 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053084417
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1200/jco.2011.41.1165 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046405779
258 rdf:type schema:CreativeWork
259 https://doi.org/10.7863/jum.2007.26.5.581 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038914615
260 rdf:type schema:CreativeWork
261 https://www.grid.ac/institutes/grid.15276.37 schema:alternateName University of Florida
262 schema:name Department of Biostatistics, University of Florida, Gainesville, FL, USA
263 rdf:type schema:Organization
264 https://www.grid.ac/institutes/grid.214458.e schema:alternateName University of Michigan–Ann Arbor
265 schema:name Department of Surgery, C.S. Mott Children’s Hospital, University of Michigan, Ann Arbor, MI, USA
266 rdf:type schema:Organization
267 https://www.grid.ac/institutes/grid.239552.a schema:alternateName Children's Hospital of Philadelphia
268 schema:name Department of Radiology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
269 rdf:type schema:Organization
270 https://www.grid.ac/institutes/grid.239560.b schema:alternateName Children’s National Health System
271 schema:name Center for Cancer and Blood Disorders, Children’s National Medical Center, Washington, DC, USA
272 rdf:type schema:Organization
273 https://www.grid.ac/institutes/grid.239573.9 schema:alternateName Cincinnati Children's Hospital Medical Center
274 schema:name Division of Oncology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
275 rdf:type schema:Organization
276 https://www.grid.ac/institutes/grid.240741.4 schema:alternateName Seattle Children's Hospital
277 schema:name Pediatric Surgery, Seattle Children’s Hospital, Seattle, WA, USA
278 rdf:type schema:Organization
279 https://www.grid.ac/institutes/grid.38142.3c schema:alternateName Harvard University
280 schema:name Dana Farber Cancer Institute and Boston Children’s Hospital, Harvard University, Boston, MA, USA
281 rdf:type schema:Organization
282 https://www.grid.ac/institutes/grid.413808.6 schema:alternateName Lurie Children's Hospital
283 schema:name Department of Pathology, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA
284 rdf:type schema:Organization
 




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


...