Ontology type: schema:ScholarlyArticle Open Access: True
2015-08
AUTHORSLawrence F. Pupulim, Valérie Vilgrain, Maxime Ronot, Christoph D. Becker, Romain Breguet, Sylvain Terraz
ABSTRACTThe liver normally produces a large amount of lymph. It is estimated that between 25% and 50% of the lymph received by the thoracic duct comes from the liver. In normal conditions, hepatic lymphatics are not depicted on cross-sectional imaging. They are divided in lymphatics of deep system (lymphatics following the hepatic veins and the portal tract) and those of superficial system (convex surface and inferior surface). A variety of diseases may affect hepatic lymphatics and in general they manifest as lymphedema, lymphatic mass, or cystic lesions. Abnormal distended lymphatics are especially seen in periportal spaces as linear hypoattenuations on CT or strong linear hyperintensities on heavily T2-weighted MR imaging. Lymphatic tumor spread as in lymphoma and lymphangitic carcinomatosis manifests as periportal masses and regional lymph node enlargement. Lymphatic disruption after trauma or surgery is depicted as perihepatic fluid collections of lymph (lymphocele). Lymphatic malformation such as lymphangioma is seen on imaging as cystic spaces of variable size. More... »
PAGES1997-2011
http://scigraph.springernature.com/pub.10.1007/s00261-015-0350-y
DOIhttp://dx.doi.org/10.1007/s00261-015-0350-y
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1023977078
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/25579171
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/2008/0299",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Other Physical Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Physical Sciences",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Liver",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Lymph",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Lymphatic Diseases",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Lymphatic Vessels",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Radiography",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "University Hospital of Geneva",
"id": "https://www.grid.ac/institutes/grid.150338.c",
"name": [
"Department of Radiology, University Hospitals of Geneva, Rue Gabrielle-Perret-Gentil 4, Geneva, Switzerland"
],
"type": "Organization"
},
"familyName": "Pupulim",
"givenName": "Lawrence F.",
"id": "sg:person.0717116304.80",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0717116304.80"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "French Institute of Health and Medical Research",
"id": "https://www.grid.ac/institutes/grid.7429.8",
"name": [
"Department of Radiology, APHP, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France",
"University Paris Diderot, Sorbonne Paris Cit\u00e9, Paris, 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"
},
{
"affiliation": {
"alternateName": "French Institute of Health and Medical Research",
"id": "https://www.grid.ac/institutes/grid.7429.8",
"name": [
"Department of Radiology, APHP, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France",
"University Paris Diderot, Sorbonne Paris Cit\u00e9, Paris, 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": "University Hospital of Geneva",
"id": "https://www.grid.ac/institutes/grid.150338.c",
"name": [
"Department of Radiology, University Hospitals of Geneva, Rue Gabrielle-Perret-Gentil 4, Geneva, Switzerland"
],
"type": "Organization"
},
"familyName": "Becker",
"givenName": "Christoph D.",
"id": "sg:person.014142702340.74",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014142702340.74"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University Hospital of Geneva",
"id": "https://www.grid.ac/institutes/grid.150338.c",
"name": [
"Department of Radiology, University Hospitals of Geneva, Rue Gabrielle-Perret-Gentil 4, Geneva, Switzerland"
],
"type": "Organization"
},
"familyName": "Breguet",
"givenName": "Romain",
"id": "sg:person.0646717717.10",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646717717.10"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University Hospital of Geneva",
"id": "https://www.grid.ac/institutes/grid.150338.c",
"name": [
"Department of Radiology, University Hospitals of Geneva, Rue Gabrielle-Perret-Gentil 4, Geneva, Switzerland"
],
"type": "Organization"
},
"familyName": "Terraz",
"givenName": "Sylvain",
"id": "sg:person.01150100610.48",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01150100610.48"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1097/00004728-198406000-00038",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001105230"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/00004728-198406000-00038",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001105230"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/lt.500060101",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003608329"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiol.10092389",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004792651"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiology.217.1.r00oc3816",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008775157"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02012405",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010045159",
"https://doi.org/10.1007/bf02012405"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02012405",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010045159",
"https://doi.org/10.1007/bf02012405"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/rg.255045180",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010782624"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/00004728-199105000-00010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011683805"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/00004728-199105000-00010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011683805"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiographics.21.1.g01ja02161",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014019606"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiographics.7.6.3321217",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017853485"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00234299",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019994306",
"https://doi.org/10.1007/bf00234299"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00234299",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019994306",
"https://doi.org/10.1007/bf00234299"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00261-012-9918-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025432953",
"https://doi.org/10.1007/s00261-012-9918-y"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1440-1827.1988.tb02346.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026542466"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/ar.20681",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035239905"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s002610000026",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039987213",
"https://doi.org/10.1007/s002610000026"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00330-003-2201-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044768220",
"https://doi.org/10.1007/s00330-003-2201-4"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.4065/73.12.1188",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045074242"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/lt.21475",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048819959"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.clinimag.2012.01.027",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051774022"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/rg.314095132",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052267916"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiology.213.1.r99oc2173",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053671430"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2214/ajr.05.0659",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069297638"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2214/ajr.09.3264",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069300416"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2214/ajr.147.3.519",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069313881"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2214/ajr.150.1.111",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069314647"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2214/ajr.182.6.1821485",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069326161"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiology.182.3.1535910",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1076890149"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1078707935",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiology.172.1.2544924",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1079007816"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiology.138.2.7455122",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1082364188"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/120.2.321",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1083167283"
],
"type": "CreativeWork"
}
],
"datePublished": "2015-08",
"datePublishedReg": "2015-08-01",
"description": "The liver normally produces a large amount of lymph. It is estimated that between 25% and 50% of the lymph received by the thoracic duct comes from the liver. In normal conditions, hepatic lymphatics are not depicted on cross-sectional imaging. They are divided in lymphatics of deep system (lymphatics following the hepatic veins and the portal tract) and those of superficial system (convex surface and inferior surface). A variety of diseases may affect hepatic lymphatics and in general they manifest as lymphedema, lymphatic mass, or cystic lesions. Abnormal distended lymphatics are especially seen in periportal spaces as linear hypoattenuations on CT or strong linear hyperintensities on heavily T2-weighted MR imaging. Lymphatic tumor spread as in lymphoma and lymphangitic carcinomatosis manifests as periportal masses and regional lymph node enlargement. Lymphatic disruption after trauma or surgery is depicted as perihepatic fluid collections of lymph (lymphocele). Lymphatic malformation such as lymphangioma is seen on imaging as cystic spaces of variable size. ",
"genre": "research_article",
"id": "sg:pub.10.1007/s00261-015-0350-y",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1297457",
"issn": [
"2366-004X",
"2366-0058"
],
"name": "Abdominal Radiology",
"type": "Periodical"
},
{
"issueNumber": "6",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "40"
}
],
"name": "Hepatic lymphatics: anatomy and related diseases",
"pagination": "1997-2011",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"723af5ad13e2eb0d8758607e4940401650489ad737b75517a7e0cab4b863f822"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"25579171"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"9303672"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s00261-015-0350-y"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1023977078"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00261-015-0350-y",
"https://app.dimensions.ai/details/publication/pub.1023977078"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T20:47",
"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_8684_00000512.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007%2Fs00261-015-0350-y"
}
]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/s00261-015-0350-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/s00261-015-0350-y'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00261-015-0350-y'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00261-015-0350-y'
This table displays all metadata directly associated to this object as RDF triples.
227 TRIPLES
21 PREDICATES
65 URIs
27 LITERALS
15 BLANK NODES