Can dual-energy CT replace perfusion CT for the functional evaluation of advanced hepatocellular carcinoma? View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-05

AUTHORS

Sébastien Mulé, Frédéric Pigneur, Ronan Quelever, Arthur Tenenhaus, Laurence Baranes, Philippe Richard, Vania Tacher, Edouard Herin, Hugo Pasquier, Maxime Ronot, Alain Rahmouni, Valérie Vilgrain, Alain Luciani

ABSTRACT

OBJECTIVES: To determine the degree of relationship between iodine concentrations derived from dual-energy CT (DECT) and perfusion CT parameters in patients with advanced HCC under treatment. METHODS: In this single-centre IRB approved study, 16 patients with advanced HCC treated with sorafenib or radioembolization who underwent concurrent dynamic perfusion CT and multiphase DECT using a single source, fast kV switching DECT scanner were included. Written informed consent was obtained for all patients. HCC late-arterial and portal iodine concentrations, blood flow (BF)-related and blood volume (BV)-related perfusion parameters maps were calculated. Mixed-effects models of the relationship between iodine concentrations and perfusion parameters were computed. An adjusted p value (Bonferroni method) < 0.05 was considered significant. RESULTS: Mean HCC late-arterial and portal iodine concentrations were 22.7±12.7 mg/mL and 18.7±8.3 mg/mL, respectively. Late-arterial iodine concentration was significantly related to BV (mixed-effects model F statistic (F)=28.52, p<0.0001), arterial BF (aBF, F=17.62, p<0.0001), hepatic perfusion index (F=28.24, p<0.0001), positive enhancement integral (PEI, F=66.75, p<0.0001) and mean slope of increase (F=32.96, p<0.0001), while portal-venous iodine concentration was mainly related to BV (F=29.68, p<0.0001) and PEI (F=66.75, p<0.0001). CONCLUSIONS: In advanced HCC lesions, DECT-derived late-arterial iodine concentration is strongly related to both aBF and BV, while portal iodine concentration mainly reflects BV, offering DECT the ability to evaluate both morphological and perfusion changes. KEY POINTS: • Late-arterial iodine concentration is highly related to arterial BF and BV. • Portal iodine concentration mainly reflects tumour blood volume. • Dual-energy CT offers significantly decreased radiation dose compared with perfusion CT. More... »

PAGES

1977-1985

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00330-017-5151-y

DOI

http://dx.doi.org/10.1007/s00330-017-5151-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092894077

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29168007


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": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carcinoma, Hepatocellular", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Contrast Media", 
        "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": "Iodine", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Iopamidol", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Liver", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Liver Neoplasms", 
        "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": "Perfusion Imaging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiographic Image Enhancement", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiography, Dual-Energy Scanned Projection", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "H\u00f4pitaux Universitaires Henri Mondor", 
          "id": "https://www.grid.ac/institutes/grid.412116.1", 
          "name": [
            "Service d\u2019Imagerie M\u00e9dicale, AP-HP, H\u00f4pitaux Universitaires Henri Mondor, 51 Avenue du Marechal de Lattre de Tassigny, 94010, Creteil Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mul\u00e9", 
        "givenName": "S\u00e9bastien", 
        "id": "sg:person.01063534613.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01063534613.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pitaux Universitaires Henri Mondor", 
          "id": "https://www.grid.ac/institutes/grid.412116.1", 
          "name": [
            "Service d\u2019Imagerie M\u00e9dicale, AP-HP, H\u00f4pitaux Universitaires Henri Mondor, 51 Avenue du Marechal de Lattre de Tassigny, 94010, Creteil Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pigneur", 
        "givenName": "Fr\u00e9d\u00e9ric", 
        "id": "sg:person.0631503054.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0631503054.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "GE Healthcare, 283 rue de la Mini\u00e8re, 78530, Buc, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Quelever", 
        "givenName": "Ronan", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Piti\u00e9-Salp\u00eatri\u00e8re Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411439.a", 
          "name": [
            "Laboratoire des Signaux et Syst\u00e8mes, Universit\u00e9 Paris-Saclay, Orsay, France", 
            "Biostatistics and bioinformatics core facility, Brain and Spine Institute, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tenenhaus", 
        "givenName": "Arthur", 
        "id": "sg:person.01355115245.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01355115245.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pitaux Universitaires Henri Mondor", 
          "id": "https://www.grid.ac/institutes/grid.412116.1", 
          "name": [
            "Service d\u2019Imagerie M\u00e9dicale, AP-HP, H\u00f4pitaux Universitaires Henri Mondor, 51 Avenue du Marechal de Lattre de Tassigny, 94010, Creteil Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baranes", 
        "givenName": "Laurence", 
        "id": "sg:person.0631117143.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0631117143.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "GE Healthcare, 283 rue de la Mini\u00e8re, 78530, Buc, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Richard", 
        "givenName": "Philippe", 
        "id": "sg:person.01125627115.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125627115.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Paris 12 Val de Marne University", 
          "id": "https://www.grid.ac/institutes/grid.410511.0", 
          "name": [
            "Service d\u2019Imagerie M\u00e9dicale, AP-HP, H\u00f4pitaux Universitaires Henri Mondor, 51 Avenue du Marechal de Lattre de Tassigny, 94010, Creteil Cedex, France", 
            "Facult\u00e9 de M\u00e9decine, Universit\u00e9 Paris Est Creteil, Creteil, France", 
            "INSERM IMRB, U 955, Equipe 18, Creteil, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tacher", 
        "givenName": "Vania", 
        "id": "sg:person.0664666030.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0664666030.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pitaux Universitaires Henri Mondor", 
          "id": "https://www.grid.ac/institutes/grid.412116.1", 
          "name": [
            "Service d\u2019Imagerie M\u00e9dicale, AP-HP, H\u00f4pitaux Universitaires Henri Mondor, 51 Avenue du Marechal de Lattre de Tassigny, 94010, Creteil Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Herin", 
        "givenName": "Edouard", 
        "id": "sg:person.0675152115.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675152115.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Paris 12 Val de Marne University", 
          "id": "https://www.grid.ac/institutes/grid.410511.0", 
          "name": [
            "Service d\u2019Imagerie M\u00e9dicale, AP-HP, H\u00f4pitaux Universitaires Henri Mondor, 51 Avenue du Marechal de Lattre de Tassigny, 94010, Creteil Cedex, France", 
            "Facult\u00e9 de M\u00e9decine, Universit\u00e9 Paris Est Creteil, Creteil, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pasquier", 
        "givenName": "Hugo", 
        "id": "sg:person.013617336231.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013617336231.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Center for Research on Inflammation", 
          "id": "https://www.grid.ac/institutes/grid.462374.0", 
          "name": [
            "Service de Radiologie, AP-HP, H\u00f4pitaux Universitaires Paris Nord Val de Seine, Beaujon, 100 boulevard General Leclerc, 92118, Clichy, France", 
            "Universit\u00e9 Paris Diderot, Sorbonne Paris Cit\u00e9, Paris, France", 
            "INSERM U1149, 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 12 Val de Marne University", 
          "id": "https://www.grid.ac/institutes/grid.410511.0", 
          "name": [
            "Service d\u2019Imagerie M\u00e9dicale, AP-HP, H\u00f4pitaux Universitaires Henri Mondor, 51 Avenue du Marechal de Lattre de Tassigny, 94010, Creteil Cedex, France", 
            "Facult\u00e9 de M\u00e9decine, Universit\u00e9 Paris Est Creteil, Creteil, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rahmouni", 
        "givenName": "Alain", 
        "id": "sg:person.01117353467.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117353467.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Center for Research on Inflammation", 
          "id": "https://www.grid.ac/institutes/grid.462374.0", 
          "name": [
            "Service de Radiologie, AP-HP, H\u00f4pitaux Universitaires Paris Nord Val de Seine, Beaujon, 100 boulevard General Leclerc, 92118, Clichy, France", 
            "Universit\u00e9 Paris Diderot, Sorbonne Paris Cit\u00e9, Paris, France", 
            "INSERM U1149, 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"
      }, 
      {
        "affiliation": {
          "alternateName": "Paris 12 Val de Marne University", 
          "id": "https://www.grid.ac/institutes/grid.410511.0", 
          "name": [
            "Service d\u2019Imagerie M\u00e9dicale, AP-HP, H\u00f4pitaux Universitaires Henri Mondor, 51 Avenue du Marechal de Lattre de Tassigny, 94010, Creteil Cedex, France", 
            "Facult\u00e9 de M\u00e9decine, Universit\u00e9 Paris Est Creteil, Creteil, France", 
            "INSERM IMRB, U 955, Equipe 18, Creteil, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Luciani", 
        "givenName": "Alain", 
        "id": "sg:person.01237044535.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01237044535.67"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1097/rli.0000000000000176", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001193964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rli.0000000000000176", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001193964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2433052020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002257853"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejrad.2014.05.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003870926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(16)30054-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004704916"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejrad.2012.11.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006694427"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-012-2379-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009441923", 
          "https://doi.org/10.1007/s00330-012-2379-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.14131480", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009993689"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-016-4458-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010087040", 
          "https://doi.org/10.1007/s00330-016-4458-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-016-4458-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010087040", 
          "https://doi.org/10.1007/s00330-016-4458-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.11100978", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012044446"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1097/00004647-199812000-00011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012312550", 
          "https://doi.org/10.1097/00004647-199812000-00011"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004647-199812000-00011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012312550"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004647-199812000-00011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012312550"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.14130091", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017238519"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejrad.2013.05.038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022466595"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10406-005-0169-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025418610", 
          "https://doi.org/10.1007/s10406-005-0169-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-016-4670-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028686394", 
          "https://doi.org/10.1007/s00330-016-4670-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-016-4670-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028686394", 
          "https://doi.org/10.1007/s00330-016-4670-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejrad.2015.02.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030004859"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-015-4154-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031208574", 
          "https://doi.org/10.1007/s00330-015-4154-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rct.0000000000000212", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032321711"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rct.0000000000000212", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032321711"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hep.24199", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032908435"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-011-2307-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033620700", 
          "https://doi.org/10.1007/s00330-011-2307-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rli.0b013e3182199bb5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035692245"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rli.0b013e3182199bb5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035692245"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-003-2108-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035794146", 
          "https://doi.org/10.1007/s00330-003-2108-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1745-6215-15-474", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037557459", 
          "https://doi.org/10.1186/1745-6215-15-474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rct.0b013e318256b1e2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038404572"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rct.0b013e318256b1e2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038404572"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.13122708", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045073433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1259/bjr/18486642", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064568251"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0284185113485571", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078742988"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0284185113485571", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078742988"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2015151560", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079219457"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-05", 
    "datePublishedReg": "2018-05-01", 
    "description": "OBJECTIVES: To determine the degree of relationship between iodine concentrations derived from dual-energy CT (DECT) and perfusion CT parameters in patients with advanced HCC under treatment.\nMETHODS: In this single-centre IRB approved study, 16 patients with advanced HCC treated with sorafenib or radioembolization who underwent concurrent dynamic perfusion CT and multiphase DECT using a single source, fast kV switching DECT scanner were included. Written informed consent was obtained for all patients. HCC late-arterial and portal iodine concentrations, blood flow (BF)-related and blood volume (BV)-related perfusion parameters maps were calculated. Mixed-effects models of the relationship between iodine concentrations and perfusion parameters were computed. An adjusted p value (Bonferroni method) < 0.05 was considered significant.\nRESULTS: Mean HCC late-arterial and portal iodine concentrations were 22.7\u00b112.7 mg/mL and 18.7\u00b18.3 mg/mL, respectively. Late-arterial iodine concentration was significantly related to BV (mixed-effects model F statistic (F)=28.52, p<0.0001), arterial BF (aBF, F=17.62, p<0.0001), hepatic perfusion index (F=28.24, p<0.0001), positive enhancement integral (PEI, F=66.75, p<0.0001) and mean slope of increase (F=32.96, p<0.0001), while portal-venous iodine concentration was mainly related to BV (F=29.68, p<0.0001) and PEI (F=66.75, p<0.0001).\nCONCLUSIONS: In advanced HCC lesions, DECT-derived late-arterial iodine concentration is strongly related to both aBF and BV, while portal iodine concentration mainly reflects BV, offering DECT the ability to evaluate both morphological and perfusion changes.\nKEY POINTS: \u2022 Late-arterial iodine concentration is highly related to arterial BF and BV. \u2022 Portal iodine concentration mainly reflects tumour blood volume. \u2022 Dual-energy CT offers significantly decreased radiation dose compared with perfusion CT.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00330-017-5151-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1289120", 
        "issn": [
          "0938-7994", 
          "1432-1084"
        ], 
        "name": "European Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "28"
      }
    ], 
    "name": "Can dual-energy CT replace perfusion CT for the functional evaluation of advanced hepatocellular carcinoma?", 
    "pagination": "1977-1985", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "38675fb3217609c41eab062ce37ca2b53b5f3155272c0dcdda14b3734bf9989e"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29168007"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9114774"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00330-017-5151-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1092894077"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00330-017-5151-y", 
      "https://app.dimensions.ai/details/publication/pub.1092894077"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:56", 
    "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_8663_00000493.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00330-017-5151-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/s00330-017-5151-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/s00330-017-5151-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-017-5151-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-017-5151-y'


 

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

335 TRIPLES      21 PREDICATES      75 URIs      39 LITERALS      27 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00330-017-5151-y schema:about N04971827ddce4524a9e34973fc2d067d
2 N0f8553aaabf4402cb34fd4fcb1d916a5
3 N2cdbe49682f74edaa0d86c2d00e8648d
4 N2f1eb71675884552a0a3c68645269371
5 N4f2d771d86734ac58309d2566bbbec59
6 N542c940c00b542a6b7d64c122c202473
7 N54793be7268c4e9b96c1c631d6586a87
8 N5f5a530235284ff08c08f9ffbec7ccb4
9 N61bd34778073430a95d85d956035683a
10 N647e8c0b53804bfcb685593a9a783359
11 N6ad3e2901af74f58bbf5c8dc759f2440
12 N774d4e35a7144c5ab0d98a7ec142b7ed
13 N77e9f30b136446a4831d9a428257d51a
14 N7d4c003ec69849d8867710b23b0f170c
15 N915ba6f5a3e44c2a9b9a1ab7c75fd4fb
16 Nd7aa19cafa724d2a960418fa4ee77e02
17 Ne9e763006e474e4c873f48eb17ebfef7
18 Nf055ab70ddb646e1b37a30e4ba79f63a
19 anzsrc-for:11
20 anzsrc-for:1103
21 schema:author N6a1894515b064dcb83554b546da08cd9
22 schema:citation sg:pub.10.1007/s00330-003-2108-0
23 sg:pub.10.1007/s00330-011-2307-z
24 sg:pub.10.1007/s00330-012-2379-4
25 sg:pub.10.1007/s00330-015-4154-9
26 sg:pub.10.1007/s00330-016-4458-4
27 sg:pub.10.1007/s00330-016-4670-2
28 sg:pub.10.1007/s10406-005-0169-7
29 sg:pub.10.1097/00004647-199812000-00011
30 sg:pub.10.1186/1745-6215-15-474
31 https://doi.org/10.1002/hep.24199
32 https://doi.org/10.1016/j.ejrad.2012.11.013
33 https://doi.org/10.1016/j.ejrad.2013.05.038
34 https://doi.org/10.1016/j.ejrad.2014.05.040
35 https://doi.org/10.1016/j.ejrad.2015.02.020
36 https://doi.org/10.1016/s0140-6736(16)30054-x
37 https://doi.org/10.1097/00004647-199812000-00011
38 https://doi.org/10.1097/rct.0000000000000212
39 https://doi.org/10.1097/rct.0b013e318256b1e2
40 https://doi.org/10.1097/rli.0000000000000176
41 https://doi.org/10.1097/rli.0b013e3182199bb5
42 https://doi.org/10.1148/radiol.11100978
43 https://doi.org/10.1148/radiol.13122708
44 https://doi.org/10.1148/radiol.14130091
45 https://doi.org/10.1148/radiol.14131480
46 https://doi.org/10.1148/radiol.2015151560
47 https://doi.org/10.1148/radiol.2433052020
48 https://doi.org/10.1177/0284185113485571
49 https://doi.org/10.1259/bjr/18486642
50 schema:datePublished 2018-05
51 schema:datePublishedReg 2018-05-01
52 schema:description OBJECTIVES: To determine the degree of relationship between iodine concentrations derived from dual-energy CT (DECT) and perfusion CT parameters in patients with advanced HCC under treatment. METHODS: In this single-centre IRB approved study, 16 patients with advanced HCC treated with sorafenib or radioembolization who underwent concurrent dynamic perfusion CT and multiphase DECT using a single source, fast kV switching DECT scanner were included. Written informed consent was obtained for all patients. HCC late-arterial and portal iodine concentrations, blood flow (BF)-related and blood volume (BV)-related perfusion parameters maps were calculated. Mixed-effects models of the relationship between iodine concentrations and perfusion parameters were computed. An adjusted p value (Bonferroni method) < 0.05 was considered significant. RESULTS: Mean HCC late-arterial and portal iodine concentrations were 22.7±12.7 mg/mL and 18.7±8.3 mg/mL, respectively. Late-arterial iodine concentration was significantly related to BV (mixed-effects model F statistic (F)=28.52, p<0.0001), arterial BF (aBF, F=17.62, p<0.0001), hepatic perfusion index (F=28.24, p<0.0001), positive enhancement integral (PEI, F=66.75, p<0.0001) and mean slope of increase (F=32.96, p<0.0001), while portal-venous iodine concentration was mainly related to BV (F=29.68, p<0.0001) and PEI (F=66.75, p<0.0001). CONCLUSIONS: In advanced HCC lesions, DECT-derived late-arterial iodine concentration is strongly related to both aBF and BV, while portal iodine concentration mainly reflects BV, offering DECT the ability to evaluate both morphological and perfusion changes. KEY POINTS: • Late-arterial iodine concentration is highly related to arterial BF and BV. • Portal iodine concentration mainly reflects tumour blood volume. • Dual-energy CT offers significantly decreased radiation dose compared with perfusion CT.
53 schema:genre research_article
54 schema:inLanguage en
55 schema:isAccessibleForFree false
56 schema:isPartOf N9ddf32dedf6b462ea4dcc8306088197c
57 Nfd84feb18110448a8330bd6f32008469
58 sg:journal.1289120
59 schema:name Can dual-energy CT replace perfusion CT for the functional evaluation of advanced hepatocellular carcinoma?
60 schema:pagination 1977-1985
61 schema:productId N3e72d7c4d6e3433ba8de3d2c84e75c2a
62 N4f830723c3c54e0c9721d6878ac525c3
63 N5f700cbc8eeb4251b6e88accb3d29dc0
64 N78705d6d79e4493ea45ad359a7f30546
65 Nd07ad24317e24ffb81fa3c10e0a7ce1f
66 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092894077
67 https://doi.org/10.1007/s00330-017-5151-y
68 schema:sdDatePublished 2019-04-10T14:56
69 schema:sdLicense https://scigraph.springernature.com/explorer/license/
70 schema:sdPublisher N6dd75c69a0ed499bb78da58ed34501bd
71 schema:url http://link.springer.com/10.1007/s00330-017-5151-y
72 sgo:license sg:explorer/license/
73 sgo:sdDataset articles
74 rdf:type schema:ScholarlyArticle
75 N04971827ddce4524a9e34973fc2d067d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Humans
77 rdf:type schema:DefinedTerm
78 N0f8553aaabf4402cb34fd4fcb1d916a5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Liver Neoplasms
80 rdf:type schema:DefinedTerm
81 N12305a715cda46c4bb590f8b9e4dc2c4 rdf:first sg:person.0631503054.24
82 rdf:rest N201c91b173af4fa2a6c8ac42b5eda3d2
83 N174d0774d6d044418112eea1fa1ee403 rdf:first sg:person.0675152115.90
84 rdf:rest Nc671fc43d76f46b7ac921650fcffb25a
85 N201c91b173af4fa2a6c8ac42b5eda3d2 rdf:first N23513b3b0ea24b24abe1bc36dd1f77fd
86 rdf:rest Nfeaa31f4ec3549d4aace0d81df3382a4
87 N23513b3b0ea24b24abe1bc36dd1f77fd schema:affiliation N55f64486bc214aa1899df3403bb1d43b
88 schema:familyName Quelever
89 schema:givenName Ronan
90 rdf:type schema:Person
91 N2c23fa01f6074ab2a66308734d6736a0 rdf:first sg:person.01117353467.02
92 rdf:rest N38e0d7e802914ba48f4e20462b7f6141
93 N2cdbe49682f74edaa0d86c2d00e8648d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Carcinoma, Hepatocellular
95 rdf:type schema:DefinedTerm
96 N2f1eb71675884552a0a3c68645269371 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Contrast Media
98 rdf:type schema:DefinedTerm
99 N38e0d7e802914ba48f4e20462b7f6141 rdf:first sg:person.0761705775.52
100 rdf:rest N718534ac57f4473ea60de9c2fd2af682
101 N3e72d7c4d6e3433ba8de3d2c84e75c2a schema:name pubmed_id
102 schema:value 29168007
103 rdf:type schema:PropertyValue
104 N4f2d771d86734ac58309d2566bbbec59 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Reproducibility of Results
106 rdf:type schema:DefinedTerm
107 N4f830723c3c54e0c9721d6878ac525c3 schema:name doi
108 schema:value 10.1007/s00330-017-5151-y
109 rdf:type schema:PropertyValue
110 N521e32a399f14d0f87f0aedf4cae2a46 rdf:first sg:person.0664666030.42
111 rdf:rest N174d0774d6d044418112eea1fa1ee403
112 N542c940c00b542a6b7d64c122c202473 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Liver
114 rdf:type schema:DefinedTerm
115 N54793be7268c4e9b96c1c631d6586a87 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Perfusion Imaging
117 rdf:type schema:DefinedTerm
118 N55f64486bc214aa1899df3403bb1d43b schema:name GE Healthcare, 283 rue de la Minière, 78530, Buc, France
119 rdf:type schema:Organization
120 N5f5a530235284ff08c08f9ffbec7ccb4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Prospective Studies
122 rdf:type schema:DefinedTerm
123 N5f700cbc8eeb4251b6e88accb3d29dc0 schema:name readcube_id
124 schema:value 38675fb3217609c41eab062ce37ca2b53b5f3155272c0dcdda14b3734bf9989e
125 rdf:type schema:PropertyValue
126 N61bd34778073430a95d85d956035683a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Iodine
128 rdf:type schema:DefinedTerm
129 N647e8c0b53804bfcb685593a9a783359 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Tomography, X-Ray Computed
131 rdf:type schema:DefinedTerm
132 N6a1894515b064dcb83554b546da08cd9 rdf:first sg:person.01063534613.29
133 rdf:rest N12305a715cda46c4bb590f8b9e4dc2c4
134 N6ad3e2901af74f58bbf5c8dc759f2440 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Middle Aged
136 rdf:type schema:DefinedTerm
137 N6dd75c69a0ed499bb78da58ed34501bd schema:name Springer Nature - SN SciGraph project
138 rdf:type schema:Organization
139 N718534ac57f4473ea60de9c2fd2af682 rdf:first sg:person.01237044535.67
140 rdf:rest rdf:nil
141 N774d4e35a7144c5ab0d98a7ec142b7ed schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Iopamidol
143 rdf:type schema:DefinedTerm
144 N77e9f30b136446a4831d9a428257d51a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Female
146 rdf:type schema:DefinedTerm
147 N78705d6d79e4493ea45ad359a7f30546 schema:name nlm_unique_id
148 schema:value 9114774
149 rdf:type schema:PropertyValue
150 N7a5ad2d2a70f4a23a6ad2ea639e0ba47 rdf:first sg:person.01125627115.45
151 rdf:rest N521e32a399f14d0f87f0aedf4cae2a46
152 N7d4c003ec69849d8867710b23b0f170c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Male
154 rdf:type schema:DefinedTerm
155 N85b3e4df61224f0fbbeee799c30f0a46 rdf:first sg:person.0631117143.54
156 rdf:rest N7a5ad2d2a70f4a23a6ad2ea639e0ba47
157 N915ba6f5a3e44c2a9b9a1ab7c75fd4fb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Radiographic Image Enhancement
159 rdf:type schema:DefinedTerm
160 N9ddf32dedf6b462ea4dcc8306088197c schema:issueNumber 5
161 rdf:type schema:PublicationIssue
162 Na72bacca0b1e42b9afd328ae5dce439b schema:name GE Healthcare, 283 rue de la Minière, 78530, Buc, France
163 rdf:type schema:Organization
164 Nc671fc43d76f46b7ac921650fcffb25a rdf:first sg:person.013617336231.33
165 rdf:rest Nee6c4a6241a34455a19fee67c3a88267
166 Nd07ad24317e24ffb81fa3c10e0a7ce1f schema:name dimensions_id
167 schema:value pub.1092894077
168 rdf:type schema:PropertyValue
169 Nd7aa19cafa724d2a960418fa4ee77e02 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Radiography, Dual-Energy Scanned Projection
171 rdf:type schema:DefinedTerm
172 Ne9e763006e474e4c873f48eb17ebfef7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Aged
174 rdf:type schema:DefinedTerm
175 Nee6c4a6241a34455a19fee67c3a88267 rdf:first sg:person.01025534354.12
176 rdf:rest N2c23fa01f6074ab2a66308734d6736a0
177 Nf055ab70ddb646e1b37a30e4ba79f63a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
178 schema:name Aged, 80 and over
179 rdf:type schema:DefinedTerm
180 Nfd84feb18110448a8330bd6f32008469 schema:volumeNumber 28
181 rdf:type schema:PublicationVolume
182 Nfeaa31f4ec3549d4aace0d81df3382a4 rdf:first sg:person.01355115245.72
183 rdf:rest N85b3e4df61224f0fbbeee799c30f0a46
184 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
185 schema:name Medical and Health Sciences
186 rdf:type schema:DefinedTerm
187 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
188 schema:name Clinical Sciences
189 rdf:type schema:DefinedTerm
190 sg:journal.1289120 schema:issn 0938-7994
191 1432-1084
192 schema:name European Radiology
193 rdf:type schema:Periodical
194 sg:person.01025534354.12 schema:affiliation https://www.grid.ac/institutes/grid.462374.0
195 schema:familyName Ronot
196 schema:givenName Maxime
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025534354.12
198 rdf:type schema:Person
199 sg:person.01063534613.29 schema:affiliation https://www.grid.ac/institutes/grid.412116.1
200 schema:familyName Mulé
201 schema:givenName Sébastien
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01063534613.29
203 rdf:type schema:Person
204 sg:person.01117353467.02 schema:affiliation https://www.grid.ac/institutes/grid.410511.0
205 schema:familyName Rahmouni
206 schema:givenName Alain
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117353467.02
208 rdf:type schema:Person
209 sg:person.01125627115.45 schema:affiliation Na72bacca0b1e42b9afd328ae5dce439b
210 schema:familyName Richard
211 schema:givenName Philippe
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125627115.45
213 rdf:type schema:Person
214 sg:person.01237044535.67 schema:affiliation https://www.grid.ac/institutes/grid.410511.0
215 schema:familyName Luciani
216 schema:givenName Alain
217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01237044535.67
218 rdf:type schema:Person
219 sg:person.01355115245.72 schema:affiliation https://www.grid.ac/institutes/grid.411439.a
220 schema:familyName Tenenhaus
221 schema:givenName Arthur
222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01355115245.72
223 rdf:type schema:Person
224 sg:person.013617336231.33 schema:affiliation https://www.grid.ac/institutes/grid.410511.0
225 schema:familyName Pasquier
226 schema:givenName Hugo
227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013617336231.33
228 rdf:type schema:Person
229 sg:person.0631117143.54 schema:affiliation https://www.grid.ac/institutes/grid.412116.1
230 schema:familyName Baranes
231 schema:givenName Laurence
232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0631117143.54
233 rdf:type schema:Person
234 sg:person.0631503054.24 schema:affiliation https://www.grid.ac/institutes/grid.412116.1
235 schema:familyName Pigneur
236 schema:givenName Frédéric
237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0631503054.24
238 rdf:type schema:Person
239 sg:person.0664666030.42 schema:affiliation https://www.grid.ac/institutes/grid.410511.0
240 schema:familyName Tacher
241 schema:givenName Vania
242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0664666030.42
243 rdf:type schema:Person
244 sg:person.0675152115.90 schema:affiliation https://www.grid.ac/institutes/grid.412116.1
245 schema:familyName Herin
246 schema:givenName Edouard
247 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675152115.90
248 rdf:type schema:Person
249 sg:person.0761705775.52 schema:affiliation https://www.grid.ac/institutes/grid.462374.0
250 schema:familyName Vilgrain
251 schema:givenName Valérie
252 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761705775.52
253 rdf:type schema:Person
254 sg:pub.10.1007/s00330-003-2108-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035794146
255 https://doi.org/10.1007/s00330-003-2108-0
256 rdf:type schema:CreativeWork
257 sg:pub.10.1007/s00330-011-2307-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1033620700
258 https://doi.org/10.1007/s00330-011-2307-z
259 rdf:type schema:CreativeWork
260 sg:pub.10.1007/s00330-012-2379-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009441923
261 https://doi.org/10.1007/s00330-012-2379-4
262 rdf:type schema:CreativeWork
263 sg:pub.10.1007/s00330-015-4154-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031208574
264 https://doi.org/10.1007/s00330-015-4154-9
265 rdf:type schema:CreativeWork
266 sg:pub.10.1007/s00330-016-4458-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010087040
267 https://doi.org/10.1007/s00330-016-4458-4
268 rdf:type schema:CreativeWork
269 sg:pub.10.1007/s00330-016-4670-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028686394
270 https://doi.org/10.1007/s00330-016-4670-2
271 rdf:type schema:CreativeWork
272 sg:pub.10.1007/s10406-005-0169-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025418610
273 https://doi.org/10.1007/s10406-005-0169-7
274 rdf:type schema:CreativeWork
275 sg:pub.10.1097/00004647-199812000-00011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012312550
276 https://doi.org/10.1097/00004647-199812000-00011
277 rdf:type schema:CreativeWork
278 sg:pub.10.1186/1745-6215-15-474 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037557459
279 https://doi.org/10.1186/1745-6215-15-474
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1002/hep.24199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032908435
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1016/j.ejrad.2012.11.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006694427
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1016/j.ejrad.2013.05.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022466595
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1016/j.ejrad.2014.05.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003870926
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1016/j.ejrad.2015.02.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030004859
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1016/s0140-6736(16)30054-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004704916
292 rdf:type schema:CreativeWork
293 https://doi.org/10.1097/00004647-199812000-00011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012312550
294 rdf:type schema:CreativeWork
295 https://doi.org/10.1097/rct.0000000000000212 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032321711
296 rdf:type schema:CreativeWork
297 https://doi.org/10.1097/rct.0b013e318256b1e2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038404572
298 rdf:type schema:CreativeWork
299 https://doi.org/10.1097/rli.0000000000000176 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001193964
300 rdf:type schema:CreativeWork
301 https://doi.org/10.1097/rli.0b013e3182199bb5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035692245
302 rdf:type schema:CreativeWork
303 https://doi.org/10.1148/radiol.11100978 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012044446
304 rdf:type schema:CreativeWork
305 https://doi.org/10.1148/radiol.13122708 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045073433
306 rdf:type schema:CreativeWork
307 https://doi.org/10.1148/radiol.14130091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017238519
308 rdf:type schema:CreativeWork
309 https://doi.org/10.1148/radiol.14131480 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009993689
310 rdf:type schema:CreativeWork
311 https://doi.org/10.1148/radiol.2015151560 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079219457
312 rdf:type schema:CreativeWork
313 https://doi.org/10.1148/radiol.2433052020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002257853
314 rdf:type schema:CreativeWork
315 https://doi.org/10.1177/0284185113485571 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078742988
316 rdf:type schema:CreativeWork
317 https://doi.org/10.1259/bjr/18486642 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064568251
318 rdf:type schema:CreativeWork
319 https://www.grid.ac/institutes/grid.410511.0 schema:alternateName Paris 12 Val de Marne University
320 schema:name Faculté de Médecine, Université Paris Est Creteil, Creteil, France
321 INSERM IMRB, U 955, Equipe 18, Creteil, France
322 Service d’Imagerie Médicale, AP-HP, Hôpitaux Universitaires Henri Mondor, 51 Avenue du Marechal de Lattre de Tassigny, 94010, Creteil Cedex, France
323 rdf:type schema:Organization
324 https://www.grid.ac/institutes/grid.411439.a schema:alternateName Pitié-Salpêtrière Hospital
325 schema:name Biostatistics and bioinformatics core facility, Brain and Spine Institute, Paris, France
326 Laboratoire des Signaux et Systèmes, Université Paris-Saclay, Orsay, France
327 rdf:type schema:Organization
328 https://www.grid.ac/institutes/grid.412116.1 schema:alternateName Hôpitaux Universitaires Henri Mondor
329 schema:name Service d’Imagerie Médicale, AP-HP, Hôpitaux Universitaires Henri Mondor, 51 Avenue du Marechal de Lattre de Tassigny, 94010, Creteil Cedex, France
330 rdf:type schema:Organization
331 https://www.grid.ac/institutes/grid.462374.0 schema:alternateName Center for Research on Inflammation
332 schema:name INSERM U1149, centre de recherche biomédicale Bichat-Beaujon, CRB3, Paris, France
333 Service de Radiologie, AP-HP, Hôpitaux Universitaires Paris Nord Val de Seine, Beaujon, 100 boulevard General Leclerc, 92118, Clichy, France
334 Université Paris Diderot, Sorbonne Paris Cité, Paris, France
335 rdf:type schema:Organization
 




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


...