Ontology type: schema:ScholarlyArticle
2014-12-14
AUTHORSB. Henninger, H. Zoller, S. Rauch, M. Schocke, S. Kannengiesser, X. Zhong, G. Reiter, W. Jaschke, C. Kremser
ABSTRACTObjectivesTo evaluate the automated two-point Dixon screening sequence for the detection and estimated quantification of hepatic iron and fat compared with standard sequences as a reference.MethodsOne hundred and two patients with suspected diffuse liver disease were included in this prospective study. The following MRI protocol was used: 3D-T1-weighted opposed- and in-phase gradient echo with two-point Dixon reconstruction and dual-ratio signal discrimination algorithm (“screening” sequence); fat-saturated, multi-gradient-echo sequence with 12 echoes; gradient-echo T1 FLASH opposed- and in-phase. Bland–Altman plots were generated and correlation coefficients were calculated to compare the sequences.ResultsThe screening sequence diagnosed fat in 33, iron in 35 and a combination of both in 4 patients. Correlation between R2* values of the screening sequence and the standard relaxometry was excellent (r = 0.988). A slightly lower correlation (r = 0.978) was found between the fat fraction of the screening sequence and the standard sequence. Bland–Altman revealed systematically lower R2* values obtained from the screening sequence and higher fat fraction values obtained with the standard sequence with a rather high variability in agreement.ConclusionsThe screening sequence is a promising method with fast diagnosis of the predominant liver disease. It is capable of estimating the amount of hepatic fat and iron comparable to standard methods.Key points• MRI plays a major role in the clarification of diffuse liver disease.• The screening sequence was introduced for the assessment of diffuse liver disease.• It is a fast and automated algorithm for the evaluation of hepatic iron and fat.• It is capable of estimating the amount of hepatic fat and iron. More... »
PAGES1356-1365
http://scigraph.springernature.com/pub.10.1007/s00330-014-3528-8
DOIhttp://dx.doi.org/10.1007/s00330-014-3528-8
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1013222107
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/25501270
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/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
},
{
"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"
},
{
"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": "Algorithms",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Fatty Liver",
"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": "Image Processing, Computer-Assisted",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Imaging, Three-Dimensional",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Liver",
"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": "Prospective Studies",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Siderosis",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Department of Radiology, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria",
"id": "http://www.grid.ac/institutes/grid.5361.1",
"name": [
"Department of Radiology, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria"
],
"type": "Organization"
},
"familyName": "Henninger",
"givenName": "B.",
"id": "sg:person.0755772617.78",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755772617.78"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Internal Medicine, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria",
"id": "http://www.grid.ac/institutes/grid.5361.1",
"name": [
"Department of Internal Medicine, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria"
],
"type": "Organization"
},
"familyName": "Zoller",
"givenName": "H.",
"id": "sg:person.01074611154.49",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074611154.49"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Radiology, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria",
"id": "http://www.grid.ac/institutes/grid.5361.1",
"name": [
"Department of Radiology, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria"
],
"type": "Organization"
},
"familyName": "Rauch",
"givenName": "S.",
"id": "sg:person.01276766444.74",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01276766444.74"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Radiology, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria",
"id": "http://www.grid.ac/institutes/grid.5361.1",
"name": [
"Department of Radiology, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria"
],
"type": "Organization"
},
"familyName": "Schocke",
"givenName": "M.",
"id": "sg:person.01176364136.40",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176364136.40"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "MR Applications Development, Siemens AG, Healthcare Sector, Erlangen, Germany",
"id": "http://www.grid.ac/institutes/grid.5406.7",
"name": [
"MR Applications Development, Siemens AG, Healthcare Sector, Erlangen, Germany"
],
"type": "Organization"
},
"familyName": "Kannengiesser",
"givenName": "S.",
"id": "sg:person.01355215330.15",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01355215330.15"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "MR R&D Collaborations, Siemens Healthcare, Atlanta, GA, USA",
"id": "http://www.grid.ac/institutes/None",
"name": [
"MR R&D Collaborations, Siemens Healthcare, Atlanta, GA, USA"
],
"type": "Organization"
},
"familyName": "Zhong",
"givenName": "X.",
"id": "sg:person.01164762625.79",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01164762625.79"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "MR R&D Collaborations, Siemens AG, Healthcare Sector, Graz, Austria",
"id": "http://www.grid.ac/institutes/grid.426094.d",
"name": [
"MR R&D Collaborations, Siemens AG, Healthcare Sector, Graz, Austria"
],
"type": "Organization"
},
"familyName": "Reiter",
"givenName": "G.",
"id": "sg:person.01024403610.32",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024403610.32"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Radiology, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria",
"id": "http://www.grid.ac/institutes/grid.5361.1",
"name": [
"Department of Radiology, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria"
],
"type": "Organization"
},
"familyName": "Jaschke",
"givenName": "W.",
"id": "sg:person.0720776275.29",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720776275.29"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Radiology, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria",
"id": "http://www.grid.ac/institutes/grid.5361.1",
"name": [
"Department of Radiology, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria"
],
"type": "Organization"
},
"familyName": "Kremser",
"givenName": "C.",
"id": "sg:person.0660266326.16",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660266326.16"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1023/a:1012295615144",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050871662",
"https://doi.org/10.1023/a:1012295615144"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00330-013-2829-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031063398",
"https://doi.org/10.1007/s00330-013-2829-7"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00330-012-2506-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020522015",
"https://doi.org/10.1007/s00330-012-2506-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00247-010-1596-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015255205",
"https://doi.org/10.1007/s00247-010-1596-8"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00330-012-2745-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035001840",
"https://doi.org/10.1007/s00330-012-2745-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1471-2105-12-77",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014582441",
"https://doi.org/10.1186/1471-2105-12-77"
],
"type": "CreativeWork"
}
],
"datePublished": "2014-12-14",
"datePublishedReg": "2014-12-14",
"description": "ObjectivesTo evaluate the automated two-point Dixon screening sequence for the detection and estimated quantification of hepatic iron and fat compared with standard sequences as a reference.MethodsOne hundred and two patients with suspected diffuse liver disease were included in this prospective study. The following MRI protocol was used: 3D-T1-weighted opposed- and in-phase gradient echo with two-point Dixon reconstruction and dual-ratio signal discrimination algorithm (\u201cscreening\u201d sequence); fat-saturated, multi-gradient-echo sequence with 12 echoes; gradient-echo T1 FLASH opposed- and in-phase. Bland\u2013Altman plots were generated and correlation coefficients were calculated to compare the sequences.ResultsThe screening sequence diagnosed fat in 33, iron in 35 and a combination of both in 4 patients. Correlation between R2* values of the screening sequence and the standard relaxometry was excellent (r\u2009=\u20090.988). A slightly lower correlation (r\u2009=\u20090.978) was found between the fat fraction of the screening sequence and the standard sequence. Bland\u2013Altman revealed systematically lower R2* values obtained from the screening sequence and higher fat fraction values obtained with the standard sequence with a rather high variability in agreement.ConclusionsThe screening sequence is a promising method with fast diagnosis of the predominant liver disease. It is capable of estimating the amount of hepatic fat and iron comparable to standard methods.Key points\u2022 MRI plays a major role in the clarification of diffuse liver disease.\u2022 The screening sequence was introduced for the assessment of diffuse liver disease.\u2022 It is a fast and automated algorithm for the evaluation of hepatic iron and fat.\u2022 It is capable of estimating the amount of hepatic fat and iron.",
"genre": "article",
"id": "sg:pub.10.1007/s00330-014-3528-8",
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1289120",
"issn": [
"0938-7994",
"1432-1084"
],
"name": "European Radiology",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "5",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "25"
}
],
"keywords": [
"diffuse liver disease",
"liver disease",
"hepatic fat",
"hepatic iron",
"predominant liver disease",
"Bland-Altman plots",
"prospective study",
"hepatic steatosis",
"MethodsOne hundred",
"screening sequence",
"phase gradient echo",
"MRI protocol",
"fat fraction values",
"disease",
"Bland-Altman",
"patients",
"fat fraction",
"fat",
"fast diagnosis",
"two-point Dixon",
"standard sequence",
"echo sequence",
"gradient echo",
"siderosis",
"steatosis",
"major role",
"ObjectivesTo",
"diagnosis",
"MRI",
"correlation coefficient",
"evaluation",
"standard methods",
"low correlation",
"correlation",
"fraction values",
"assessment",
"high variability",
"study",
"protocol",
"role",
"relaxometry",
"Dixon",
"two-point Dixon reconstruction",
"values",
"iron",
"reconstruction",
"combination",
"echoes",
"promising method",
"amount",
"detection",
"clarification",
"quantification",
"fraction",
"Dixon reconstruction",
"method",
"comparison",
"variability",
"sequence",
"flashes",
"low R2",
"discrimination algorithm",
"R2",
"reference",
"phase",
"hundreds",
"agreement",
"coefficient",
"plots",
"algorithm"
],
"name": "Automated two-point dixon screening for the evaluation of hepatic steatosis and siderosis: comparison with R2*-relaxometry and chemical shift-based sequences",
"pagination": "1356-1365",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1013222107"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s00330-014-3528-8"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"25501270"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00330-014-3528-8",
"https://app.dimensions.ai/details/publication/pub.1013222107"
],
"sdDataset": "articles",
"sdDatePublished": "2022-08-04T17:03",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_641.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/s00330-014-3528-8"
}
]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/s00330-014-3528-8'
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/s00330-014-3528-8'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-014-3528-8'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-014-3528-8'
This table displays all metadata directly associated to this object as RDF triples.
278 TRIPLES
21 PREDICATES
115 URIs
101 LITERALS
21 BLANK NODES