MR findings of steatotic focal nodular hyperplasia and comparison with other fatty tumours View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-04

AUTHORS

Maxime Ronot, Valérie Paradis, Rafael Duran, Anne Kerbaol, Marie-Pierre Vullierme, Jacques Belghiti, Dominique-Charles Valla, Valérie Vilgrain

ABSTRACT

OBJECTIVES: To correlate MR findings with pathology in steatotic FNHs and to compare the MR findings with those of other fatty tumours developed on noncirrhotic liver in a consecutive series of resected lesions. METHODS: Our population included resected FNH with intralesional steatosis (n = 25) and other resected fatty tumours selected as controls (hepatocellular adenomas and angiomyolipomas, n = 34). Lesions were classified into three groups: those with typical FNH without (group 1) or with (group 2) fat on MR and those with atypical lesions (group 3). In group 3, diagnostic criteria for other fatty tumours were applied. RESULTS: There were 9 lesions in group 1 (15.3 %), 4 in group 2 (16.8 %) and 46 in group 3 (77.9 %). Group 3 contained 12 FNHs (26 %) and all the other fatty tumours. In group 3, the association of lesion homogeneity, signal intensity similar to or slightly different from adjacent liver on in-phase T1- and T2-weighted sequences, and strong arterial enhancement was observed in 7/12 (58 %) of steatotic FNHs and 3/34 (9 %) of other tumours. CONCLUSION: On MR, fat within a typical FNH should not reduce the diagnostic confidence. We recommend further investigations including liver biopsy if necessary when fatty tumours exhibit atypical MR findings. More... »

PAGES

914-923

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00330-012-2676-y

DOI

http://dx.doi.org/10.1007/s00330-012-2676-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1019601877

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23064717


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": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Fatty Liver", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Focal Nodular Hyperplasia", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Liver Neoplasms", 
        "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": "Middle Aged", 
        "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": {
          "alternateName": "French Institute of Health and Medical Research", 
          "id": "https://www.grid.ac/institutes/grid.7429.8", 
          "name": [
            "Department of Radiology, University Paris Diderot, Sorbonne Paris Cit\u00e9, University Hospitals Paris Nord Val de Seine, Beaujon, 100 bd General Leclerc, 92118, Clichy, Hauts-de-Seine, France", 
            "INSERM U773, Centre de Recherche Biom\u00e9dicale Bichat-Beaujon, CRB3, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ronot", 
        "givenName": "Maxime", 
        "id": "sg:person.01025534354.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025534354.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Paris Diderot University", 
          "id": "https://www.grid.ac/institutes/grid.7452.4", 
          "name": [
            "INSERM U773, Centre de Recherche Biom\u00e9dicale Bichat-Beaujon, CRB3, Paris, France", 
            "Department of Pathology, University Paris Diderot, Sorbonne Paris Cit\u00e9, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Paradis", 
        "givenName": "Val\u00e9rie", 
        "id": "sg:person.01165415672.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165415672.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Paris Diderot University", 
          "id": "https://www.grid.ac/institutes/grid.7452.4", 
          "name": [
            "Department of Radiology, University Paris Diderot, Sorbonne Paris Cit\u00e9, University Hospitals Paris Nord Val de Seine, Beaujon, 100 bd General Leclerc, 92118, Clichy, Hauts-de-Seine, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Duran", 
        "givenName": "Rafael", 
        "id": "sg:person.0637123242.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637123242.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Paris Diderot University", 
          "id": "https://www.grid.ac/institutes/grid.7452.4", 
          "name": [
            "Department of Radiology, University Paris Diderot, Sorbonne Paris Cit\u00e9, University Hospitals Paris Nord Val de Seine, Beaujon, 100 bd General Leclerc, 92118, Clichy, Hauts-de-Seine, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kerbaol", 
        "givenName": "Anne", 
        "id": "sg:person.01210076154.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01210076154.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Paris Diderot University", 
          "id": "https://www.grid.ac/institutes/grid.7452.4", 
          "name": [
            "Department of Radiology, University Paris Diderot, Sorbonne Paris Cit\u00e9, University Hospitals Paris Nord Val de Seine, Beaujon, 100 bd General Leclerc, 92118, Clichy, Hauts-de-Seine, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vullierme", 
        "givenName": "Marie-Pierre", 
        "id": "sg:person.01231224366.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231224366.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Paris Diderot University", 
          "id": "https://www.grid.ac/institutes/grid.7452.4", 
          "name": [
            "Department of Surgery, University Paris Diderot, Sorbonne Paris Cit\u00e9, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Belghiti", 
        "givenName": "Jacques", 
        "id": "sg:person.01202560643.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202560643.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Paris Diderot University", 
          "id": "https://www.grid.ac/institutes/grid.7452.4", 
          "name": [
            "INSERM U773, Centre de Recherche Biom\u00e9dicale Bichat-Beaujon, CRB3, Paris, France", 
            "Department of Hepatology, University Paris Diderot, Sorbonne Paris Cit\u00e9, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Valla", 
        "givenName": "Dominique-Charles", 
        "id": "sg:person.01142343535.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01142343535.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "French Institute of Health and Medical Research", 
          "id": "https://www.grid.ac/institutes/grid.7429.8", 
          "name": [
            "Department of Radiology, University Paris Diderot, Sorbonne Paris Cit\u00e9, University Hospitals Paris Nord Val de Seine, Beaujon, 100 bd General Leclerc, 92118, Clichy, Hauts-de-Seine, France", 
            "INSERM U773, Centre de Recherche Biom\u00e9dicale Bichat-Beaujon, CRB3, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vilgrain", 
        "givenName": "Val\u00e9rie", 
        "id": "sg:person.0761705775.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761705775.52"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s003300000750", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000434758", 
          "https://doi.org/10.1007/s003300000750"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hep.22417", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007718646"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hep.21743", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010777679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.humpath.2005.08.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013678101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hep.21068", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015728585"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hep.21068", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015728585"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhep.2006.12.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015737919"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/rg.252045083", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016814050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.11110023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017291288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hep.24147", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018291514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiographics.19.2.g99mr04431", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018508421"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhep.2007.10.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018618883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-006-0146-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021476584", 
          "https://doi.org/10.1007/s00330-006-0146-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-006-0146-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021476584", 
          "https://doi.org/10.1007/s00330-006-0146-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004728-199109000-00007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028576211"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004728-199109000-00007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028576211"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejrad.2005.11.043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028635430"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/rg.241035050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029325825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.gastro.2009.07.061", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029589276"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002689900337", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036966805", 
          "https://doi.org/10.1007/s002689900337"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004728-199505000-00028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038219834"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004728-199505000-00028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038219834"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.gastro.2004.02.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038591271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2361040338", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038961632"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.11101742", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039412905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/gut.2010.222109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042699914"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hep.21684", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044310626"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004728-200209000-00025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045132227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004728-200209000-00025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045132227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002619900222", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048916623", 
          "https://doi.org/10.1007/s002619900222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1478-3231.2008.01849.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051612429"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-0031-1272837", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057236099"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.171.5.9798902", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069322039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.182.5.1821227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069326117"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.184.4.01841103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069326802"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082891918", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-04", 
    "datePublishedReg": "2013-04-01", 
    "description": "OBJECTIVES: To correlate MR findings with pathology in steatotic FNHs and to compare the MR findings with those of other fatty tumours developed on noncirrhotic liver in a consecutive series of resected lesions.\nMETHODS: Our population included resected FNH with intralesional steatosis (n\u2009=\u200925) and other resected fatty tumours selected as controls (hepatocellular adenomas and angiomyolipomas, n\u2009=\u200934). Lesions were classified into three groups: those with typical FNH without (group 1) or with (group 2) fat on MR and those with atypical lesions (group 3). In group 3, diagnostic criteria for other fatty tumours were applied.\nRESULTS: There were 9 lesions in group 1 (15.3 %), 4 in group 2 (16.8 %) and 46 in group 3 (77.9 %). Group 3 contained 12 FNHs (26 %) and all the other fatty tumours. In group 3, the association of lesion homogeneity, signal intensity similar to or slightly different from adjacent liver on in-phase T1- and T2-weighted sequences, and strong arterial enhancement was observed in 7/12 (58 %) of steatotic FNHs and 3/34 (9 %) of other tumours.\nCONCLUSION: On MR, fat within a typical FNH should not reduce the diagnostic confidence. We recommend further investigations including liver biopsy if necessary when fatty tumours exhibit atypical MR findings.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00330-012-2676-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1289120", 
        "issn": [
          "0938-7994", 
          "1432-1084"
        ], 
        "name": "European Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "23"
      }
    ], 
    "name": "MR findings of steatotic focal nodular hyperplasia and comparison with other fatty tumours", 
    "pagination": "914-923", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "5d6547f07521b5b1b6248e5a601deff77f342f7a28aea7c6d6207686c505c6db"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23064717"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9114774"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00330-012-2676-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1019601877"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00330-012-2676-y", 
      "https://app.dimensions.ai/details/publication/pub.1019601877"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T22:31", 
    "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_8690_00000512.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00330-012-2676-y"
  }
]
 

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/s00330-012-2676-y'

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/s00330-012-2676-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-012-2676-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-012-2676-y'


 

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

262 TRIPLES      21 PREDICATES      70 URIs      31 LITERALS      19 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00330-012-2676-y schema:about N35f1853c902d48d59c099963ac882fe1
2 N4decd95674734d139ca892f3ce4bfad1
3 N61a01753ef7f45bfbb9f32ae2690d19d
4 N65538fc1d72747d8a70649a81a61d81d
5 N80e18e2ca4ab476cac95fe1734995870
6 N8f1fc0f71c224bccbb68249c5b1dac96
7 N9f5127f1a2954bbe8e70edff22d4288b
8 Ne057758289ca4fe183fca7aefd5d2a20
9 Ned6dc378692a41e89fe89a95250f31ef
10 Nf4c38ced97ab4cc1950e4d00972e14df
11 anzsrc-for:11
12 anzsrc-for:1103
13 schema:author N9fee973e1f2c4bf2a0f1ca1b7269feea
14 schema:citation sg:pub.10.1007/s002619900222
15 sg:pub.10.1007/s002689900337
16 sg:pub.10.1007/s00330-006-0146-0
17 sg:pub.10.1007/s003300000750
18 https://app.dimensions.ai/details/publication/pub.1082891918
19 https://doi.org/10.1002/hep.21068
20 https://doi.org/10.1002/hep.21684
21 https://doi.org/10.1002/hep.21743
22 https://doi.org/10.1002/hep.22417
23 https://doi.org/10.1002/hep.24147
24 https://doi.org/10.1016/j.ejrad.2005.11.043
25 https://doi.org/10.1016/j.humpath.2005.08.014
26 https://doi.org/10.1016/j.jhep.2006.12.007
27 https://doi.org/10.1016/j.jhep.2007.10.003
28 https://doi.org/10.1053/j.gastro.2004.02.005
29 https://doi.org/10.1053/j.gastro.2009.07.061
30 https://doi.org/10.1055/s-0031-1272837
31 https://doi.org/10.1097/00004728-199109000-00007
32 https://doi.org/10.1097/00004728-199505000-00028
33 https://doi.org/10.1097/00004728-200209000-00025
34 https://doi.org/10.1111/j.1478-3231.2008.01849.x
35 https://doi.org/10.1136/gut.2010.222109
36 https://doi.org/10.1148/radiographics.19.2.g99mr04431
37 https://doi.org/10.1148/radiol.11101742
38 https://doi.org/10.1148/radiol.11110023
39 https://doi.org/10.1148/radiol.2361040338
40 https://doi.org/10.1148/rg.241035050
41 https://doi.org/10.1148/rg.252045083
42 https://doi.org/10.2214/ajr.171.5.9798902
43 https://doi.org/10.2214/ajr.182.5.1821227
44 https://doi.org/10.2214/ajr.184.4.01841103
45 schema:datePublished 2013-04
46 schema:datePublishedReg 2013-04-01
47 schema:description OBJECTIVES: To correlate MR findings with pathology in steatotic FNHs and to compare the MR findings with those of other fatty tumours developed on noncirrhotic liver in a consecutive series of resected lesions. METHODS: Our population included resected FNH with intralesional steatosis (n = 25) and other resected fatty tumours selected as controls (hepatocellular adenomas and angiomyolipomas, n = 34). Lesions were classified into three groups: those with typical FNH without (group 1) or with (group 2) fat on MR and those with atypical lesions (group 3). In group 3, diagnostic criteria for other fatty tumours were applied. RESULTS: There were 9 lesions in group 1 (15.3 %), 4 in group 2 (16.8 %) and 46 in group 3 (77.9 %). Group 3 contained 12 FNHs (26 %) and all the other fatty tumours. In group 3, the association of lesion homogeneity, signal intensity similar to or slightly different from adjacent liver on in-phase T1- and T2-weighted sequences, and strong arterial enhancement was observed in 7/12 (58 %) of steatotic FNHs and 3/34 (9 %) of other tumours. CONCLUSION: On MR, fat within a typical FNH should not reduce the diagnostic confidence. We recommend further investigations including liver biopsy if necessary when fatty tumours exhibit atypical MR findings.
48 schema:genre research_article
49 schema:inLanguage en
50 schema:isAccessibleForFree false
51 schema:isPartOf N2371d926d88444d1baf968530a897a8b
52 N79860cbd8f8d40768136f437c7433cdc
53 sg:journal.1289120
54 schema:name MR findings of steatotic focal nodular hyperplasia and comparison with other fatty tumours
55 schema:pagination 914-923
56 schema:productId N37381eaf5d544430bbb1283c10d2dd88
57 Na2657a5394e1434d9488e14efa40c29e
58 Nac52e83bf3324057aabb0b0cce922372
59 Ne47efc976eaa49099d485dbe8a76ca78
60 Nf8c25a2b005342b5aedfe01083fb8aa1
61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019601877
62 https://doi.org/10.1007/s00330-012-2676-y
63 schema:sdDatePublished 2019-04-10T22:31
64 schema:sdLicense https://scigraph.springernature.com/explorer/license/
65 schema:sdPublisher Nd15e52c041264fc380e974c7bb553147
66 schema:url http://link.springer.com/10.1007%2Fs00330-012-2676-y
67 sgo:license sg:explorer/license/
68 sgo:sdDataset articles
69 rdf:type schema:ScholarlyArticle
70 N118d7b7793374c79801eebe44cd2cdcd rdf:first sg:person.01210076154.61
71 rdf:rest Na151db10dbee47ae9830fc9f2bda85a4
72 N2371d926d88444d1baf968530a897a8b schema:volumeNumber 23
73 rdf:type schema:PublicationVolume
74 N35f1853c902d48d59c099963ac882fe1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Male
76 rdf:type schema:DefinedTerm
77 N37381eaf5d544430bbb1283c10d2dd88 schema:name pubmed_id
78 schema:value 23064717
79 rdf:type schema:PropertyValue
80 N4decd95674734d139ca892f3ce4bfad1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Humans
82 rdf:type schema:DefinedTerm
83 N61a01753ef7f45bfbb9f32ae2690d19d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Middle Aged
85 rdf:type schema:DefinedTerm
86 N65538fc1d72747d8a70649a81a61d81d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Sensitivity and Specificity
88 rdf:type schema:DefinedTerm
89 N79860cbd8f8d40768136f437c7433cdc schema:issueNumber 4
90 rdf:type schema:PublicationIssue
91 N80e18e2ca4ab476cac95fe1734995870 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Liver Neoplasms
93 rdf:type schema:DefinedTerm
94 N80e5efb1d6a149718d56f56de860da56 rdf:first sg:person.01142343535.82
95 rdf:rest N90f87bbdc29a4c328565163e21443acc
96 N8f1fc0f71c224bccbb68249c5b1dac96 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Adult
98 rdf:type schema:DefinedTerm
99 N8fdec755eb134c00958fd41513a17106 rdf:first sg:person.01202560643.34
100 rdf:rest N80e5efb1d6a149718d56f56de860da56
101 N90f87bbdc29a4c328565163e21443acc rdf:first sg:person.0761705775.52
102 rdf:rest rdf:nil
103 N989333ea7bbe4d3f94b64adac6893c1a rdf:first sg:person.01165415672.72
104 rdf:rest Nb78c5e79b2604b449cb9f7dd5139e96b
105 N9f5127f1a2954bbe8e70edff22d4288b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Magnetic Resonance Imaging
107 rdf:type schema:DefinedTerm
108 N9fee973e1f2c4bf2a0f1ca1b7269feea rdf:first sg:person.01025534354.12
109 rdf:rest N989333ea7bbe4d3f94b64adac6893c1a
110 Na151db10dbee47ae9830fc9f2bda85a4 rdf:first sg:person.01231224366.16
111 rdf:rest N8fdec755eb134c00958fd41513a17106
112 Na2657a5394e1434d9488e14efa40c29e schema:name readcube_id
113 schema:value 5d6547f07521b5b1b6248e5a601deff77f342f7a28aea7c6d6207686c505c6db
114 rdf:type schema:PropertyValue
115 Nac52e83bf3324057aabb0b0cce922372 schema:name nlm_unique_id
116 schema:value 9114774
117 rdf:type schema:PropertyValue
118 Nb78c5e79b2604b449cb9f7dd5139e96b rdf:first sg:person.0637123242.50
119 rdf:rest N118d7b7793374c79801eebe44cd2cdcd
120 Nd15e52c041264fc380e974c7bb553147 schema:name Springer Nature - SN SciGraph project
121 rdf:type schema:Organization
122 Ne057758289ca4fe183fca7aefd5d2a20 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Focal Nodular Hyperplasia
124 rdf:type schema:DefinedTerm
125 Ne47efc976eaa49099d485dbe8a76ca78 schema:name dimensions_id
126 schema:value pub.1019601877
127 rdf:type schema:PropertyValue
128 Ned6dc378692a41e89fe89a95250f31ef schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Fatty Liver
130 rdf:type schema:DefinedTerm
131 Nf4c38ced97ab4cc1950e4d00972e14df schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Reproducibility of Results
133 rdf:type schema:DefinedTerm
134 Nf8c25a2b005342b5aedfe01083fb8aa1 schema:name doi
135 schema:value 10.1007/s00330-012-2676-y
136 rdf:type schema:PropertyValue
137 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
138 schema:name Medical and Health Sciences
139 rdf:type schema:DefinedTerm
140 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
141 schema:name Clinical Sciences
142 rdf:type schema:DefinedTerm
143 sg:journal.1289120 schema:issn 0938-7994
144 1432-1084
145 schema:name European Radiology
146 rdf:type schema:Periodical
147 sg:person.01025534354.12 schema:affiliation https://www.grid.ac/institutes/grid.7429.8
148 schema:familyName Ronot
149 schema:givenName Maxime
150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025534354.12
151 rdf:type schema:Person
152 sg:person.01142343535.82 schema:affiliation https://www.grid.ac/institutes/grid.7452.4
153 schema:familyName Valla
154 schema:givenName Dominique-Charles
155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01142343535.82
156 rdf:type schema:Person
157 sg:person.01165415672.72 schema:affiliation https://www.grid.ac/institutes/grid.7452.4
158 schema:familyName Paradis
159 schema:givenName Valérie
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165415672.72
161 rdf:type schema:Person
162 sg:person.01202560643.34 schema:affiliation https://www.grid.ac/institutes/grid.7452.4
163 schema:familyName Belghiti
164 schema:givenName Jacques
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202560643.34
166 rdf:type schema:Person
167 sg:person.01210076154.61 schema:affiliation https://www.grid.ac/institutes/grid.7452.4
168 schema:familyName Kerbaol
169 schema:givenName Anne
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01210076154.61
171 rdf:type schema:Person
172 sg:person.01231224366.16 schema:affiliation https://www.grid.ac/institutes/grid.7452.4
173 schema:familyName Vullierme
174 schema:givenName Marie-Pierre
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231224366.16
176 rdf:type schema:Person
177 sg:person.0637123242.50 schema:affiliation https://www.grid.ac/institutes/grid.7452.4
178 schema:familyName Duran
179 schema:givenName Rafael
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637123242.50
181 rdf:type schema:Person
182 sg:person.0761705775.52 schema:affiliation https://www.grid.ac/institutes/grid.7429.8
183 schema:familyName Vilgrain
184 schema:givenName Valérie
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761705775.52
186 rdf:type schema:Person
187 sg:pub.10.1007/s002619900222 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048916623
188 https://doi.org/10.1007/s002619900222
189 rdf:type schema:CreativeWork
190 sg:pub.10.1007/s002689900337 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036966805
191 https://doi.org/10.1007/s002689900337
192 rdf:type schema:CreativeWork
193 sg:pub.10.1007/s00330-006-0146-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021476584
194 https://doi.org/10.1007/s00330-006-0146-0
195 rdf:type schema:CreativeWork
196 sg:pub.10.1007/s003300000750 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000434758
197 https://doi.org/10.1007/s003300000750
198 rdf:type schema:CreativeWork
199 https://app.dimensions.ai/details/publication/pub.1082891918 schema:CreativeWork
200 https://doi.org/10.1002/hep.21068 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015728585
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1002/hep.21684 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044310626
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1002/hep.21743 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010777679
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1002/hep.22417 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007718646
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1002/hep.24147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018291514
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/j.ejrad.2005.11.043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028635430
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/j.humpath.2005.08.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013678101
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/j.jhep.2006.12.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015737919
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/j.jhep.2007.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018618883
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1053/j.gastro.2004.02.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038591271
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1053/j.gastro.2009.07.061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029589276
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1055/s-0031-1272837 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057236099
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1097/00004728-199109000-00007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028576211
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1097/00004728-199505000-00028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038219834
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1097/00004728-200209000-00025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045132227
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1111/j.1478-3231.2008.01849.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1051612429
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1136/gut.2010.222109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042699914
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1148/radiographics.19.2.g99mr04431 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018508421
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1148/radiol.11101742 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039412905
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1148/radiol.11110023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017291288
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1148/radiol.2361040338 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038961632
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1148/rg.241035050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029325825
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1148/rg.252045083 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016814050
245 rdf:type schema:CreativeWork
246 https://doi.org/10.2214/ajr.171.5.9798902 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069322039
247 rdf:type schema:CreativeWork
248 https://doi.org/10.2214/ajr.182.5.1821227 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069326117
249 rdf:type schema:CreativeWork
250 https://doi.org/10.2214/ajr.184.4.01841103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069326802
251 rdf:type schema:CreativeWork
252 https://www.grid.ac/institutes/grid.7429.8 schema:alternateName French Institute of Health and Medical Research
253 schema:name Department of Radiology, University Paris Diderot, Sorbonne Paris Cité, University Hospitals Paris Nord Val de Seine, Beaujon, 100 bd General Leclerc, 92118, Clichy, Hauts-de-Seine, France
254 INSERM U773, Centre de Recherche Biomédicale Bichat-Beaujon, CRB3, Paris, France
255 rdf:type schema:Organization
256 https://www.grid.ac/institutes/grid.7452.4 schema:alternateName Paris Diderot University
257 schema:name Department of Hepatology, University Paris Diderot, Sorbonne Paris Cité, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France
258 Department of Pathology, University Paris Diderot, Sorbonne Paris Cité, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France
259 Department of Radiology, University Paris Diderot, Sorbonne Paris Cité, University Hospitals Paris Nord Val de Seine, Beaujon, 100 bd General Leclerc, 92118, Clichy, Hauts-de-Seine, France
260 Department of Surgery, University Paris Diderot, Sorbonne Paris Cité, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France
261 INSERM U773, Centre de Recherche Biomédicale Bichat-Beaujon, CRB3, Paris, France
262 rdf:type schema:Organization
 




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


...