Evaluation of liver iron overload with R2* relaxometry with versus without fat suppression: both are clinically accurate but there are ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2020-06-13

AUTHORS

M. Plaikner, C. Kremser, H. Zoller, W. Jaschke, M. Steurer, A. Viveiros, B. Henninger

ABSTRACT

ObjectivesTo assess clinically relevant difference in hepatic iron quantification using R2* relaxometry with (FS) and without (non-FS) fat saturation for the evaluation of patients with suspected hepatic iron overload.MethodsWe prospectively enrolled 134 patients who underwent 1.5-T MRI R2* relaxometry with FS and non-FS gradient echo sequences (12 echoes, initial TE = 0.99 ms). Proton density fat fraction for the quantification of steatosis was assessed. Linear regression analyses and Bland-Altman plots including Lin’s concordance correlation coefficient were performed for correlation of FS R2* with non-FS R2*. Patients were grouped into 4 severity classes of iron overload (EASL based), and agreement was evaluated by contingency tables and the proportion of overall agreement.ResultsA total of 41.8% of patients showed hepatic iron overload; 67.9% had concomitant steatosis; and 58.2% revealed no iron overload of whom 60.3% had steatosis. The mean R2* value for all FS data was 102.86 1/s, for non-FS 108.16 1/s. Linear regression resulted in an R-squared value of 0.99 (p < 0.001); Bland-Altman plot showed a mean R2* difference of 5.26 1/s (SD 17.82). The concordance correlation coefficient was only slightly lower for patients with steatosis compared with non-steatosis (0.988 vs. 0.993). The overall agreement between FS and non-FS R2* measurements was 94.8% using either method to classify patients according to severity of iron storage. No correlation between R2* and proton density fat fraction was found for both methods.ConclusionR2* relaxometry showed an excellent overall agreement between FS and non-FS acquisition. Both variants can therefore be used in daily routine. However, clinically relevant differences might result when switching between the two methods or during patient follow-up, when fat content changes over time. We therefore recommend choosing a method and keeping it straight in the context of follow-up examinations.Key Points• Both variants of R2* relaxometry (FS and non-FS) may be used in daily routine.• Clinically relevant differences might result when switching between the two methods or during patient follow-up, when fat content changes over time.• It seems advisable choosing one method and keeping it straight in the context of follow-up examinations. More... »

PAGES

5826-5833

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00330-020-07010-5

DOI

http://dx.doi.org/10.1007/s00330-020-07010-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1128471415

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/32535737


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/2008/11", 
        "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": "Aged, 80 and over", 
        "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": "Iron", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Iron Overload", 
        "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": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "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": "Plaikner", 
        "givenName": "M.", 
        "id": "sg:person.01265072446.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01265072446.59"
        ], 
        "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"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Medical University of Innsbruck, Anichstra\u00dfe 35, Innsbruck, Austria", 
          "id": "http://www.grid.ac/institutes/grid.5361.1", 
          "name": [
            "Department of Internal Medicine, Medical University of Innsbruck, Anichstra\u00dfe 35, 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": "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": "Steurer", 
        "givenName": "M.", 
        "id": "sg:person.0622433553.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0622433553.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Medical University of Innsbruck, Anichstra\u00dfe 35, Innsbruck, Austria", 
          "id": "http://www.grid.ac/institutes/grid.5361.1", 
          "name": [
            "Department of Internal Medicine, Medical University of Innsbruck, Anichstra\u00dfe 35, Innsbruck, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Viveiros", 
        "givenName": "A.", 
        "id": "sg:person.07776051111.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07776051111.14"
        ], 
        "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": "Henninger", 
        "givenName": "B.", 
        "id": "sg:person.0755772617.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755772617.78"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00330-019-06380-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1120188749", 
          "https://doi.org/10.1007/s00330-019-06380-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00261-011-9762-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002478070", 
          "https://doi.org/10.1007/s00261-011-9762-5"
        ], 
        "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.10.1007/s42000-018-0012-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103206904", 
          "https://doi.org/10.1007/s42000-018-0012-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-017-5106-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092988889", 
          "https://doi.org/10.1007/s00330-017-5106-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-018-5783-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107700021", 
          "https://doi.org/10.1007/s00330-018-5783-6"
        ], 
        "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/s00330-017-5263-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101172092", 
          "https://doi.org/10.1007/s00330-017-5263-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13244-011-0132-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040739257", 
          "https://doi.org/10.1007/s13244-011-0132-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11547-016-0661-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008674618", 
          "https://doi.org/10.1007/s11547-016-0661-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.2089", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035817137", 
          "https://doi.org/10.1038/nmeth.2089"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2020-06-13", 
    "datePublishedReg": "2020-06-13", 
    "description": "ObjectivesTo assess clinically relevant difference in hepatic iron quantification using R2* relaxometry with (FS) and without (non-FS) fat saturation for the evaluation of patients with suspected hepatic iron overload.MethodsWe prospectively enrolled 134 patients who underwent 1.5-T MRI R2* relaxometry with FS and non-FS gradient echo sequences (12 echoes, initial TE\u2009=\u20090.99\u00a0ms). Proton density fat fraction for the quantification of steatosis was assessed. Linear regression analyses and Bland-Altman plots including Lin\u2019s concordance correlation coefficient were performed for correlation of FS R2* with non-FS R2*. Patients were grouped into 4 severity classes of iron overload (EASL based), and agreement was evaluated by contingency tables and the proportion of overall agreement.ResultsA total of 41.8% of patients showed hepatic iron overload; 67.9% had concomitant steatosis; and 58.2% revealed no iron overload of whom 60.3% had steatosis. The mean R2* value for all FS data was 102.86 1/s, for non-FS 108.16 1/s. Linear regression resulted in an R-squared value of 0.99 (p\u2009<\u20090.001); Bland-Altman plot showed a mean R2* difference of 5.26 1/s (SD 17.82). The concordance correlation coefficient was only slightly lower for patients with steatosis compared with non-steatosis (0.988 vs. 0.993). The overall agreement between FS and non-FS R2* measurements was 94.8% using either method to classify patients according to severity of iron storage. No correlation between R2* and proton density fat fraction was found for both methods.ConclusionR2* relaxometry showed an excellent overall agreement between FS and non-FS acquisition. Both variants can therefore be used in daily routine. However, clinically relevant differences might result when switching between the two methods or during patient follow-up, when fat content changes over time. We therefore recommend choosing a method and keeping it straight in the context of follow-up examinations.Key Points\u2022 Both variants of R2* relaxometry (FS and non-FS) may be used in daily routine.\u2022 Clinically relevant differences might result when switching between the two methods or during patient follow-up, when fat content changes over time.\u2022 It seems advisable choosing one method and keeping it straight in the context of follow-up examinations.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00330-020-07010-5", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1289120", 
        "issn": [
          "0938-7994", 
          "1432-1084"
        ], 
        "name": "European Radiology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "30"
      }
    ], 
    "keywords": [
      "hepatic iron overload", 
      "iron overload", 
      "proton density fat fraction", 
      "Bland-Altman plots", 
      "concordance correlation coefficient", 
      "evaluation of patients", 
      "relevant differences", 
      "liver iron overload", 
      "fat fraction", 
      "fat content changes", 
      "hepatic iron quantification", 
      "concomitant steatosis", 
      "ResultsA total", 
      "patients", 
      "quantification of steatosis", 
      "steatosis", 
      "linear regression analysis", 
      "daily routine", 
      "Lin's concordance correlation coefficient", 
      "MRI R2", 
      "gradient echo sequence", 
      "fat saturation", 
      "regression analysis", 
      "overall agreement", 
      "iron storage", 
      "iron quantification", 
      "overload", 
      "mean R2", 
      "correlation coefficient", 
      "echo sequence", 
      "fat suppression", 
      "examination", 
      "linear regression", 
      "differences", 
      "MethodsWe", 
      "ObjectivesTo", 
      "ConclusionR2", 
      "severity", 
      "severity classes", 
      "total", 
      "evaluation", 
      "variants", 
      "Versus", 
      "correlation", 
      "contingency tables", 
      "regression", 
      "changes", 
      "suppression", 
      "proportion", 
      "FS data", 
      "routines", 
      "relaxometry", 
      "quantification", 
      "fraction", 
      "time", 
      "method", 
      "data", 
      "values", 
      "saturation", 
      "excellent overall agreement", 
      "analysis", 
      "FS", 
      "acquisition", 
      "content changes", 
      "R2", 
      "context", 
      "measurements", 
      "sequence", 
      "agreement", 
      "class", 
      "table", 
      "coefficient", 
      "plots", 
      "storage"
    ], 
    "name": "Evaluation of liver iron overload with R2* relaxometry with versus without fat suppression: both are clinically accurate but there are differences", 
    "pagination": "5826-5833", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1128471415"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00330-020-07010-5"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "32535737"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00330-020-07010-5", 
      "https://app.dimensions.ai/details/publication/pub.1128471415"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-08-04T17:10", 
    "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_852.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00330-020-07010-5"
  }
]
 

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/s00330-020-07010-5'

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/s00330-020-07010-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-020-07010-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-020-07010-5'


 

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

279 TRIPLES      21 PREDICATES      124 URIs      105 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00330-020-07010-5 schema:about N3e3eecb44e76430cb49c484eaaafc5e6
2 N474c192fad194759852fc080ec2d0512
3 N63d7815445e64d3cb8f825e5f04aca16
4 N6b6326fa01c941e1aafca4946531bff5
5 N7a70b2e582a84d4da4c733114a7addfd
6 N9a4cd86f5dd345ea8572f03921f5f709
7 Nb0a53629f41647d48628e3e95478e3b5
8 Nb7d44b142f2e4939a90a4c29a024db3f
9 Nc7b3489f924b460ba76cd3ecc96bee89
10 Nd65bfd71ed5a4cc68399564c71951f29
11 Ne2075dbd46d24bbfb11db392859541d9
12 Ne70bdc0d8bd84c0a82e657933cc83843
13 Neb8d992d702a4ebaa2ed3184f64efccf
14 Nf4b7eaf10ae1441e9ece25903d0752eb
15 anzsrc-for:11
16 anzsrc-for:1103
17 schema:author Nde88af74acf6468eaf1b5a631db948a0
18 schema:citation sg:pub.10.1007/s00261-011-9762-5
19 sg:pub.10.1007/s00330-012-2745-2
20 sg:pub.10.1007/s00330-013-2829-7
21 sg:pub.10.1007/s00330-017-5106-3
22 sg:pub.10.1007/s00330-017-5263-4
23 sg:pub.10.1007/s00330-018-5783-6
24 sg:pub.10.1007/s00330-019-06380-9
25 sg:pub.10.1007/s11547-016-0661-2
26 sg:pub.10.1007/s13244-011-0132-1
27 sg:pub.10.1007/s42000-018-0012-x
28 sg:pub.10.1038/nmeth.2089
29 schema:datePublished 2020-06-13
30 schema:datePublishedReg 2020-06-13
31 schema:description ObjectivesTo assess clinically relevant difference in hepatic iron quantification using R2* relaxometry with (FS) and without (non-FS) fat saturation for the evaluation of patients with suspected hepatic iron overload.MethodsWe prospectively enrolled 134 patients who underwent 1.5-T MRI R2* relaxometry with FS and non-FS gradient echo sequences (12 echoes, initial TE = 0.99 ms). Proton density fat fraction for the quantification of steatosis was assessed. Linear regression analyses and Bland-Altman plots including Lin’s concordance correlation coefficient were performed for correlation of FS R2* with non-FS R2*. Patients were grouped into 4 severity classes of iron overload (EASL based), and agreement was evaluated by contingency tables and the proportion of overall agreement.ResultsA total of 41.8% of patients showed hepatic iron overload; 67.9% had concomitant steatosis; and 58.2% revealed no iron overload of whom 60.3% had steatosis. The mean R2* value for all FS data was 102.86 1/s, for non-FS 108.16 1/s. Linear regression resulted in an R-squared value of 0.99 (p < 0.001); Bland-Altman plot showed a mean R2* difference of 5.26 1/s (SD 17.82). The concordance correlation coefficient was only slightly lower for patients with steatosis compared with non-steatosis (0.988 vs. 0.993). The overall agreement between FS and non-FS R2* measurements was 94.8% using either method to classify patients according to severity of iron storage. No correlation between R2* and proton density fat fraction was found for both methods.ConclusionR2* relaxometry showed an excellent overall agreement between FS and non-FS acquisition. Both variants can therefore be used in daily routine. However, clinically relevant differences might result when switching between the two methods or during patient follow-up, when fat content changes over time. We therefore recommend choosing a method and keeping it straight in the context of follow-up examinations.Key Points• Both variants of R2* relaxometry (FS and non-FS) may be used in daily routine.• Clinically relevant differences might result when switching between the two methods or during patient follow-up, when fat content changes over time.• It seems advisable choosing one method and keeping it straight in the context of follow-up examinations.
32 schema:genre article
33 schema:isAccessibleForFree false
34 schema:isPartOf N0913d59dcd6b4921aea6e7e0c69980a5
35 Nd1840f247a6143df9977ce7f29293a58
36 sg:journal.1289120
37 schema:keywords Bland-Altman plots
38 ConclusionR2
39 FS
40 FS data
41 Lin's concordance correlation coefficient
42 MRI R2
43 MethodsWe
44 ObjectivesTo
45 R2
46 ResultsA total
47 Versus
48 acquisition
49 agreement
50 analysis
51 changes
52 class
53 coefficient
54 concomitant steatosis
55 concordance correlation coefficient
56 content changes
57 context
58 contingency tables
59 correlation
60 correlation coefficient
61 daily routine
62 data
63 differences
64 echo sequence
65 evaluation
66 evaluation of patients
67 examination
68 excellent overall agreement
69 fat content changes
70 fat fraction
71 fat saturation
72 fat suppression
73 fraction
74 gradient echo sequence
75 hepatic iron overload
76 hepatic iron quantification
77 iron overload
78 iron quantification
79 iron storage
80 linear regression
81 linear regression analysis
82 liver iron overload
83 mean R2
84 measurements
85 method
86 overall agreement
87 overload
88 patients
89 plots
90 proportion
91 proton density fat fraction
92 quantification
93 quantification of steatosis
94 regression
95 regression analysis
96 relaxometry
97 relevant differences
98 routines
99 saturation
100 sequence
101 severity
102 severity classes
103 steatosis
104 storage
105 suppression
106 table
107 time
108 total
109 values
110 variants
111 schema:name Evaluation of liver iron overload with R2* relaxometry with versus without fat suppression: both are clinically accurate but there are differences
112 schema:pagination 5826-5833
113 schema:productId N32f6713abf7c468ca7a3abed527d3cdf
114 N79cd2578a8794c578506c02fa2d9cfc3
115 Nb7ecc69bc8294ba6ba8ad02bd4d1c306
116 schema:sameAs https://app.dimensions.ai/details/publication/pub.1128471415
117 https://doi.org/10.1007/s00330-020-07010-5
118 schema:sdDatePublished 2022-08-04T17:10
119 schema:sdLicense https://scigraph.springernature.com/explorer/license/
120 schema:sdPublisher N8ac6ac8559fc4f5192356ba74f1d2a59
121 schema:url https://doi.org/10.1007/s00330-020-07010-5
122 sgo:license sg:explorer/license/
123 sgo:sdDataset articles
124 rdf:type schema:ScholarlyArticle
125 N0913d59dcd6b4921aea6e7e0c69980a5 schema:volumeNumber 30
126 rdf:type schema:PublicationVolume
127 N259ffdf7e65a4e5ea65c95e686e92c19 rdf:first sg:person.0720776275.29
128 rdf:rest N3326f36810734b99a2bce6f924ad3a4d
129 N32f6713abf7c468ca7a3abed527d3cdf schema:name doi
130 schema:value 10.1007/s00330-020-07010-5
131 rdf:type schema:PropertyValue
132 N3326f36810734b99a2bce6f924ad3a4d rdf:first sg:person.0622433553.70
133 rdf:rest N41ddc3f3508e40378fe14a695b353fb9
134 N3e3eecb44e76430cb49c484eaaafc5e6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Aged, 80 and over
136 rdf:type schema:DefinedTerm
137 N41ddc3f3508e40378fe14a695b353fb9 rdf:first sg:person.07776051111.14
138 rdf:rest Nd4c9417f393f444780429ceb95332a67
139 N474c192fad194759852fc080ec2d0512 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Middle Aged
141 rdf:type schema:DefinedTerm
142 N63d7815445e64d3cb8f825e5f04aca16 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Female
144 rdf:type schema:DefinedTerm
145 N6b6326fa01c941e1aafca4946531bff5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Liver
147 rdf:type schema:DefinedTerm
148 N79cd2578a8794c578506c02fa2d9cfc3 schema:name pubmed_id
149 schema:value 32535737
150 rdf:type schema:PropertyValue
151 N7a70b2e582a84d4da4c733114a7addfd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Male
153 rdf:type schema:DefinedTerm
154 N8ac6ac8559fc4f5192356ba74f1d2a59 schema:name Springer Nature - SN SciGraph project
155 rdf:type schema:Organization
156 N8f4578eaaba04976bbacaf26c8b6bbce rdf:first sg:person.01074611154.49
157 rdf:rest N259ffdf7e65a4e5ea65c95e686e92c19
158 N9a4cd86f5dd345ea8572f03921f5f709 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
159 schema:name Fatty Liver
160 rdf:type schema:DefinedTerm
161 Nb0a53629f41647d48628e3e95478e3b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Iron Overload
163 rdf:type schema:DefinedTerm
164 Nb7d44b142f2e4939a90a4c29a024db3f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Magnetic Resonance Imaging
166 rdf:type schema:DefinedTerm
167 Nb7ecc69bc8294ba6ba8ad02bd4d1c306 schema:name dimensions_id
168 schema:value pub.1128471415
169 rdf:type schema:PropertyValue
170 Nc7b3489f924b460ba76cd3ecc96bee89 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
171 schema:name Adult
172 rdf:type schema:DefinedTerm
173 Nd1840f247a6143df9977ce7f29293a58 schema:issueNumber 11
174 rdf:type schema:PublicationIssue
175 Nd4c9417f393f444780429ceb95332a67 rdf:first sg:person.0755772617.78
176 rdf:rest rdf:nil
177 Nd65bfd71ed5a4cc68399564c71951f29 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
178 schema:name Humans
179 rdf:type schema:DefinedTerm
180 Nd83a1cd1a8ed45d5b7bcc879d3854539 rdf:first sg:person.0660266326.16
181 rdf:rest N8f4578eaaba04976bbacaf26c8b6bbce
182 Nde88af74acf6468eaf1b5a631db948a0 rdf:first sg:person.01265072446.59
183 rdf:rest Nd83a1cd1a8ed45d5b7bcc879d3854539
184 Ne2075dbd46d24bbfb11db392859541d9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
185 schema:name Young Adult
186 rdf:type schema:DefinedTerm
187 Ne70bdc0d8bd84c0a82e657933cc83843 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
188 schema:name Aged
189 rdf:type schema:DefinedTerm
190 Neb8d992d702a4ebaa2ed3184f64efccf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
191 schema:name Iron
192 rdf:type schema:DefinedTerm
193 Nf4b7eaf10ae1441e9ece25903d0752eb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
194 schema:name Reproducibility of Results
195 rdf:type schema:DefinedTerm
196 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
197 schema:name Medical and Health Sciences
198 rdf:type schema:DefinedTerm
199 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
200 schema:name Clinical Sciences
201 rdf:type schema:DefinedTerm
202 sg:journal.1289120 schema:issn 0938-7994
203 1432-1084
204 schema:name European Radiology
205 schema:publisher Springer Nature
206 rdf:type schema:Periodical
207 sg:person.01074611154.49 schema:affiliation grid-institutes:grid.5361.1
208 schema:familyName Zoller
209 schema:givenName H.
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074611154.49
211 rdf:type schema:Person
212 sg:person.01265072446.59 schema:affiliation grid-institutes:grid.5361.1
213 schema:familyName Plaikner
214 schema:givenName M.
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01265072446.59
216 rdf:type schema:Person
217 sg:person.0622433553.70 schema:affiliation grid-institutes:grid.5361.1
218 schema:familyName Steurer
219 schema:givenName M.
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0622433553.70
221 rdf:type schema:Person
222 sg:person.0660266326.16 schema:affiliation grid-institutes:grid.5361.1
223 schema:familyName Kremser
224 schema:givenName C.
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660266326.16
226 rdf:type schema:Person
227 sg:person.0720776275.29 schema:affiliation grid-institutes:grid.5361.1
228 schema:familyName Jaschke
229 schema:givenName W.
230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720776275.29
231 rdf:type schema:Person
232 sg:person.0755772617.78 schema:affiliation grid-institutes:grid.5361.1
233 schema:familyName Henninger
234 schema:givenName B.
235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755772617.78
236 rdf:type schema:Person
237 sg:person.07776051111.14 schema:affiliation grid-institutes:grid.5361.1
238 schema:familyName Viveiros
239 schema:givenName A.
240 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07776051111.14
241 rdf:type schema:Person
242 sg:pub.10.1007/s00261-011-9762-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002478070
243 https://doi.org/10.1007/s00261-011-9762-5
244 rdf:type schema:CreativeWork
245 sg:pub.10.1007/s00330-012-2745-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035001840
246 https://doi.org/10.1007/s00330-012-2745-2
247 rdf:type schema:CreativeWork
248 sg:pub.10.1007/s00330-013-2829-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031063398
249 https://doi.org/10.1007/s00330-013-2829-7
250 rdf:type schema:CreativeWork
251 sg:pub.10.1007/s00330-017-5106-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092988889
252 https://doi.org/10.1007/s00330-017-5106-3
253 rdf:type schema:CreativeWork
254 sg:pub.10.1007/s00330-017-5263-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101172092
255 https://doi.org/10.1007/s00330-017-5263-4
256 rdf:type schema:CreativeWork
257 sg:pub.10.1007/s00330-018-5783-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107700021
258 https://doi.org/10.1007/s00330-018-5783-6
259 rdf:type schema:CreativeWork
260 sg:pub.10.1007/s00330-019-06380-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1120188749
261 https://doi.org/10.1007/s00330-019-06380-9
262 rdf:type schema:CreativeWork
263 sg:pub.10.1007/s11547-016-0661-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008674618
264 https://doi.org/10.1007/s11547-016-0661-2
265 rdf:type schema:CreativeWork
266 sg:pub.10.1007/s13244-011-0132-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040739257
267 https://doi.org/10.1007/s13244-011-0132-1
268 rdf:type schema:CreativeWork
269 sg:pub.10.1007/s42000-018-0012-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1103206904
270 https://doi.org/10.1007/s42000-018-0012-x
271 rdf:type schema:CreativeWork
272 sg:pub.10.1038/nmeth.2089 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035817137
273 https://doi.org/10.1038/nmeth.2089
274 rdf:type schema:CreativeWork
275 grid-institutes:grid.5361.1 schema:alternateName Department of Internal Medicine, Medical University of Innsbruck, Anichstraße 35, Innsbruck, Austria
276 Department of Radiology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
277 schema:name Department of Internal Medicine, Medical University of Innsbruck, Anichstraße 35, Innsbruck, Austria
278 Department of Radiology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
279 rdf:type schema:Organization
 




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


...