Ontology type: schema:ScholarlyArticle
2015-10
AUTHORSIjin Joo, Jeong Min Lee, Dong Ho Lee, Ju Hyeon Jeon, Joon Koo Han, Byung Ihn Choi
ABSTRACTOBJECTIVES: To determine which dynamic phase(s) of gadoxetic acid-enhanced MRI is most appropriate to assess "washout" in the noninvasive diagnosis of hepatocellular carcinoma (HCC) based on hemodynamic pattern. METHODS: In this retrospective cohort study, 288 consecutive patients with chronic liver disease presented with 387 arterially enhancing nodules (292 HCCs, 95 non-HCCs) (≥1 cm) on gadoxetic acid-enhanced MRI. All HCCs were confirmed by histopathology or by their typical enhancement pattern on dynamic liver CT. MR imaging diagnosis of HCC was made using criteria of arterial enhancement and hypointensity relative to the surrounding parenchyma (1) on the portal-venous phase (PVP), (2) on the PVP and/or transitional phase (TP), or (3) on the PVP and/or TP, and/or hepatobiliary phase (HBP). RESULTS: For the noninvasive diagnosis of HCC, criterion 1 provided significantly higher specificity (97.9%; 95% confidence interval, 92.6 - 99.7%) than criteria 2 (86.3%; 77.7 - 92.5%), or 3 (48.4%; 38.0 - 58.9%). Conversely, higher sensitivity was obtained with criterion 3 (93.8%; 90.4 - 96.3%) than with criterion 2 (86.6%; 82.2 - 90.3%) or 1 (70.9%; 65.3 - 76.0%). CONCLUSIONS: To make a sufficiently specific diagnosis of HCC using gadoxetic acid-enhanced MRI based on typical enhancement features, washout should be determined on the PVP alone rather than combined with hypointensity on the TP or HBP. KEY POINTS: • Gadoxetic acid-enhanced MRI enhancement features can be used to diagnose HCC. • Washout should be determined on the PVP alone for high specificity. • Hypointensity on the TP or HBP increases sensitivity but lowers specificity. More... »
PAGES2859-2868
http://scigraph.springernature.com/pub.10.1007/s00330-015-3686-3
DOIhttp://dx.doi.org/10.1007/s00330-015-3686-3
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1002189628
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/25773941
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": "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": "Chronic Disease",
"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": "Gadolinium DTPA",
"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": "Portal Vein",
"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": "Seoul National University",
"id": "https://www.grid.ac/institutes/grid.31501.36",
"name": [
"Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, 110-744, Seoul, Jongno-gu, Korea",
"Department of Radiology, Seoul National University College of Medicine, 103 Daehak-ro, 110-799, Seoul, Jongno-gu, Korea"
],
"type": "Organization"
},
"familyName": "Joo",
"givenName": "Ijin",
"id": "sg:person.01301443145.43",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01301443145.43"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Seoul National University Hospital",
"id": "https://www.grid.ac/institutes/grid.412484.f",
"name": [
"Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, 110-744, Seoul, Jongno-gu, Korea",
"Department of Radiology, Seoul National University College of Medicine, 103 Daehak-ro, 110-799, Seoul, Jongno-gu, Korea",
"Institute of Radiation Medicine, Seoul National University Medical Research Center, 103 Daehak-ro, 110-799, Seoul, Jongno-gu, Korea"
],
"type": "Organization"
},
"familyName": "Lee",
"givenName": "Jeong Min",
"id": "sg:person.01266602714.81",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266602714.81"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Seoul National University",
"id": "https://www.grid.ac/institutes/grid.31501.36",
"name": [
"Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, 110-744, Seoul, Jongno-gu, Korea",
"Department of Radiology, Seoul National University College of Medicine, 103 Daehak-ro, 110-799, Seoul, Jongno-gu, Korea"
],
"type": "Organization"
},
"familyName": "Lee",
"givenName": "Dong Ho",
"id": "sg:person.0662301041.59",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662301041.59"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Seoul National University",
"id": "https://www.grid.ac/institutes/grid.31501.36",
"name": [
"Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, 110-744, Seoul, Jongno-gu, Korea",
"Department of Radiology, Seoul National University College of Medicine, 103 Daehak-ro, 110-799, Seoul, Jongno-gu, Korea"
],
"type": "Organization"
},
"familyName": "Jeon",
"givenName": "Ju Hyeon",
"id": "sg:person.01126454545.55",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01126454545.55"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Seoul National University Hospital",
"id": "https://www.grid.ac/institutes/grid.412484.f",
"name": [
"Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, 110-744, Seoul, Jongno-gu, Korea",
"Department of Radiology, Seoul National University College of Medicine, 103 Daehak-ro, 110-799, Seoul, Jongno-gu, Korea",
"Institute of Radiation Medicine, Seoul National University Medical Research Center, 103 Daehak-ro, 110-799, Seoul, Jongno-gu, Korea"
],
"type": "Organization"
},
"familyName": "Han",
"givenName": "Joon Koo",
"id": "sg:person.0647723014.95",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647723014.95"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Seoul National University Hospital",
"id": "https://www.grid.ac/institutes/grid.412484.f",
"name": [
"Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, 110-744, Seoul, Jongno-gu, Korea",
"Department of Radiology, Seoul National University College of Medicine, 103 Daehak-ro, 110-799, Seoul, Jongno-gu, Korea",
"Institute of Radiation Medicine, Seoul National University Medical Research Center, 103 Daehak-ro, 110-799, Seoul, Jongno-gu, Korea"
],
"type": "Organization"
},
"familyName": "Choi",
"givenName": "Byung Ihn",
"id": "sg:person.0716036214.08",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716036214.08"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1097/rct.0b013e3181e1a88e",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000059203"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/rct.0b013e3181e1a88e",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000059203"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/rct.0b013e3181e1a88e",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000059203"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1478-3231.2012.02783.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001290171"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/lt.20357",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003139365"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00330-009-1542-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004822080",
"https://doi.org/10.1007/s00330-009-1542-z"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00330-009-1542-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004822080",
"https://doi.org/10.1007/s00330-009-1542-z"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00330-009-1542-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004822080",
"https://doi.org/10.1007/s00330-009-1542-z"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/hep.23071",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007665793"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3348/kjr.2011.12.4.403",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009002308"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiol.2262011980",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009456669"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrgastro.2011.20",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011013086",
"https://doi.org/10.1038/nrgastro.2011.20"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jhep.2012.04.018",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011146577"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00595-006-3276-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012586363",
"https://doi.org/10.1007/s00595-006-3276-8"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00595-006-3276-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012586363",
"https://doi.org/10.1007/s00595-006-3276-8"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/rli.0b013e3181c5faf7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012952590"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/rli.0b013e3181c5faf7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012952590"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/rli.0b013e3181c5faf7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012952590"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/jmri.23873",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015443414"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0140-6736(11)61347-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017225557"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1159/000343833",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017236119"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/jmri.23818",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019035573"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.mri.2012.11.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024872956"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00535-012-0571-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027781269",
"https://doi.org/10.1007/s00535-012-0571-6"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1586/egh.13.3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030947303"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/rct.0b013e318247c8f0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032386793"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/rct.0b013e318247c8f0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032386793"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/hep.24199",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032908435"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/hep.21966",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033290289"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/lt.20020",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033565635"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1053/j.gastro.2008.02.090",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038242669"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1159/000333265",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038518402"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ajg.2014.145",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041461068",
"https://doi.org/10.1038/ajg.2014.145"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/rg.242035079",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043812451"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ejrad.2012.10.010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044350612"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1159/000315235",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046507390"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1159/000327577",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046800793"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiology.215.3.r00jn03746",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048522964"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00330-012-2685-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050203246",
"https://doi.org/10.1007/s00330-012-2685-x"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/annonc/mdq166",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050294248"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/annonc/mdq166",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050294248"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jhep.2011.12.001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051138497"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1136/gut.2009.187286",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051556823"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiol.11101840",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053574020"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.hepres.2005.04.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1054735814"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/00004728-199701000-00011",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060189154"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/00004728-199701000-00011",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060189154"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/00004728-199701000-00011",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060189154"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1259/bjr/66686028",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064569913"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2214/ajr.04.1695",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069297269"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2214/ajr.07.3947",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069299332"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2214/ajr.07.7074",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069299460"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2214/ajr.08.1262",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069299615"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2214/ajr.08.1732",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069299811"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2214/ajr.08.1818",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069299843"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2214/ajr.09.3324",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069300442"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2214/ajr.10.4392",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069300865"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2214/ajr.12.9488",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069302867"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2214/ajr.176.3.1760675",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069323863"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3748/wjg.v18.i43.6269",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1071368814"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.4254/wjh.v6.i7.477",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1072403305"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiol.10091885",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1078179354"
],
"type": "CreativeWork"
}
],
"datePublished": "2015-10",
"datePublishedReg": "2015-10-01",
"description": "OBJECTIVES: To determine which dynamic phase(s) of gadoxetic acid-enhanced MRI is most appropriate to assess \"washout\" in the noninvasive diagnosis of hepatocellular carcinoma (HCC) based on hemodynamic pattern.\nMETHODS: In this retrospective cohort study, 288 consecutive patients with chronic liver disease presented with 387 arterially enhancing nodules (292 HCCs, 95 non-HCCs) (\u22651 cm) on gadoxetic acid-enhanced MRI. All HCCs were confirmed by histopathology or by their typical enhancement pattern on dynamic liver CT. MR imaging diagnosis of HCC was made using criteria of arterial enhancement and hypointensity relative to the surrounding parenchyma (1) on the portal-venous phase (PVP), (2) on the PVP and/or transitional phase (TP), or (3) on the PVP and/or TP, and/or hepatobiliary phase (HBP).\nRESULTS: For the noninvasive diagnosis of HCC, criterion 1 provided significantly higher specificity (97.9%; 95% confidence interval, 92.6 - 99.7%) than criteria 2 (86.3%; 77.7 - 92.5%), or 3 (48.4%; 38.0 - 58.9%). Conversely, higher sensitivity was obtained with criterion 3 (93.8%; 90.4 - 96.3%) than with criterion 2 (86.6%; 82.2 - 90.3%) or 1 (70.9%; 65.3 - 76.0%).\nCONCLUSIONS: To make a sufficiently specific diagnosis of HCC using gadoxetic acid-enhanced MRI based on typical enhancement features, washout should be determined on the PVP alone rather than combined with hypointensity on the TP or HBP.\nKEY POINTS: \u2022 Gadoxetic acid-enhanced MRI enhancement features can be used to diagnose HCC. \u2022 Washout should be determined on the PVP alone for high specificity. \u2022 Hypointensity on the TP or HBP increases sensitivity but lowers specificity.",
"genre": "research_article",
"id": "sg:pub.10.1007/s00330-015-3686-3",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1289120",
"issn": [
"0938-7994",
"1432-1084"
],
"name": "European Radiology",
"type": "Periodical"
},
{
"issueNumber": "10",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "25"
}
],
"name": "Noninvasive diagnosis of hepatocellular carcinoma on gadoxetic acid-enhanced MRI: can hypointensity on the hepatobiliary phase be used as an alternative to washout?",
"pagination": "2859-2868",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"0a6d2c088c1865854dea4bdd8dd31e2f440cbc09c4d6bb49329eeb0d92763c1d"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"25773941"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"9114774"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s00330-015-3686-3"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1002189628"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00330-015-3686-3",
"https://app.dimensions.ai/details/publication/pub.1002189628"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T19:51",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8681_00000485.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007/s00330-015-3686-3"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00330-015-3686-3'
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/s00330-015-3686-3'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-015-3686-3'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-015-3686-3'
This table displays all metadata directly associated to this object as RDF triples.
341 TRIPLES
21 PREDICATES
98 URIs
39 LITERALS
27 BLANK NODES