Assessment of liver iron overload by 3 T MRI View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-02-21

AUTHORS

A Paisant, A. Boulic, E. Bardou-Jacquet, E. Bannier, G. d’Assignies, F. Lainé, B. Turlin, Y. Gandon

ABSTRACT

Purpose To evaluate the performance and limitations of the signal intensity ratio method for quantifying liver iron overload at 3 T.MethodsInstitutional review board approval and written informed consent from all participants were obtained. One hundred and five patients were included prospectively. All patients underwent a liver biopsy with biochemical assessment of hepatic iron concentration and a 3 T MRI scan with 5 breath-hold single-echo gradient-echo sequences. Linear correlation between liver-to-muscle signal intensity ratio and liver iron concentration was calculated. The algorithm for calculating magnetic resonance hepatic iron concentration was adapted from the method described by Gandon et al. with echo times divided by 2. Sensitivity and specificity were calculated.ResultsFive patients were excluded (coil selection failure or missing sequence) and 100 patients were analyzed, 64 men and 36 women, 52 ± 13.3 years old, with a biochemical hepatic iron concentration range of 0–630 µmol/g. Linear correlation between biochemical hepatic iron concentration and MR-hepatic iron concentration was excellent with a correlation coefficient = 0.96, p < 0.0001. Sensitivity and specificity were, respectively, 83% (0.70–0.92) and 96% (0.85–0.99), with a pathological threshold of 36 µmol/g.ConclusionSignal intensity ratio method for quantifying liver iron overload can be used at 3 T with echo times divided by 2. More... »

PAGES

1713-1720

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00261-017-1077-8

DOI

http://dx.doi.org/10.1007/s00261-017-1077-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1083855034

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28224171


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": "Algorithms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biopsy", 
        "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 Overload", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Liver Diseases", 
        "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": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Hepatic Disease Unit, Clinical investigation center, H\u00f4pital Pontchaillou, Rennes University Hospital, CIC INSERM 1414, 2 rue H. Le Guilloux, 35033, Rennes, France", 
          "id": "http://www.grid.ac/institutes/grid.414271.5", 
          "name": [
            "Digestive Unit, Department of Radiology, H\u00f4pital Pontchaillou, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France", 
            "Hepatic Disease Unit, Clinical investigation center, H\u00f4pital Pontchaillou, Rennes University Hospital, CIC INSERM 1414, 2 rue H. Le Guilloux, 35033, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Paisant", 
        "givenName": "A", 
        "id": "sg:person.011726357455.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011726357455.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Digestive Unit, Department of Radiology, H\u00f4pital Pontchaillou, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France", 
          "id": "http://www.grid.ac/institutes/grid.414271.5", 
          "name": [
            "Digestive Unit, Department of Radiology, H\u00f4pital Pontchaillou, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Boulic", 
        "givenName": "A.", 
        "id": "sg:person.01356710473.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01356710473.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "INSERM UMR991, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France", 
          "id": "http://www.grid.ac/institutes/grid.411154.4", 
          "name": [
            "Hepatic Disease Unit, Clinical investigation center, H\u00f4pital Pontchaillou, Rennes University Hospital, CIC INSERM 1414, 2 rue H. Le Guilloux, 35033, Rennes, France", 
            "Department of Hepatology, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France", 
            "INSERM UMR991, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bardou-Jacquet", 
        "givenName": "E.", 
        "id": "sg:person.01264364006.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264364006.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France", 
          "id": "http://www.grid.ac/institutes/grid.411154.4", 
          "name": [
            "VisAGeS U746 Unit/Project, INSERM/INRIAIRISA, UMR CNRS 6074, University of Rennes 1, Beaulieu Campus, 35042, Rennes, France", 
            "Department of Radiology, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bannier", 
        "givenName": "E.", 
        "id": "sg:person.0732662415.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0732662415.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "LTSI, INSERM U1099, University of Rennes 1, Beaulieu Campus, 35042, Rennes, France", 
          "id": "http://www.grid.ac/institutes/grid.463996.7", 
          "name": [
            "Digestive Unit, Department of Radiology, H\u00f4pital Pontchaillou, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France", 
            "LTSI, INSERM U1099, University of Rennes 1, Beaulieu Campus, 35042, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "d\u2019Assignies", 
        "givenName": "G.", 
        "id": "sg:person.0673552165.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673552165.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Hepatology, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France", 
          "id": "http://www.grid.ac/institutes/grid.411154.4", 
          "name": [
            "Hepatic Disease Unit, Clinical investigation center, H\u00f4pital Pontchaillou, Rennes University Hospital, CIC INSERM 1414, 2 rue H. Le Guilloux, 35033, Rennes, France", 
            "Department of Hepatology, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lain\u00e9", 
        "givenName": "F.", 
        "id": "sg:person.01205113376.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01205113376.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Service d\u2019anatomie et de cytologie, H\u00f4pital Pontchaillou, CHU Rennes, 2 rue H. Le Guilloux, 35033, Rennes, France", 
          "id": "http://www.grid.ac/institutes/grid.414271.5", 
          "name": [
            "LTSI, INSERM U1099, University of Rennes 1, Beaulieu Campus, 35042, Rennes, France", 
            "Department of Pathology, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France", 
            "Service d\u2019anatomie et de cytologie, H\u00f4pital Pontchaillou, CHU Rennes, 2 rue H. Le Guilloux, 35033, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Turlin", 
        "givenName": "B.", 
        "id": "sg:person.01102421206.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01102421206.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "LTSI, INSERM U1099, University of Rennes 1, Beaulieu Campus, 35042, Rennes, France", 
          "id": "http://www.grid.ac/institutes/grid.463996.7", 
          "name": [
            "Digestive Unit, Department of Radiology, H\u00f4pital Pontchaillou, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France", 
            "Hepatic Disease Unit, Clinical investigation center, H\u00f4pital Pontchaillou, Rennes University Hospital, CIC INSERM 1414, 2 rue H. Le Guilloux, 35033, Rennes, France", 
            "LTSI, INSERM U1099, University of Rennes 1, Beaulieu Campus, 35042, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gandon", 
        "givenName": "Y.", 
        "id": "sg:person.01034246047.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01034246047.41"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1111/j.1572-0241.2007.01192.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040909965", 
          "https://doi.org/10.1111/j.1572-0241.2007.01192.x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002470100547", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015116075", 
          "https://doi.org/10.1007/s002470100547"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1532-429x-16-40", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021796480", 
          "https://doi.org/10.1186/1532-429x-16-40"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-010-1899-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051544141", 
          "https://doi.org/10.1007/s00330-010-1899-z"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-02-21", 
    "datePublishedReg": "2017-02-21", 
    "description": "Purpose To evaluate the performance and limitations of the signal intensity ratio method for quantifying liver iron overload at 3\u00a0T.MethodsInstitutional review board approval and written informed consent from all participants were obtained. One hundred and five patients were included prospectively. All patients underwent a liver biopsy with biochemical assessment of hepatic iron concentration and a 3\u00a0T MRI scan with 5 breath-hold single-echo gradient-echo sequences. Linear correlation between liver-to-muscle signal intensity ratio and liver iron concentration was calculated. The algorithm for calculating magnetic resonance hepatic iron concentration was adapted from the method described by Gandon et al. with echo times divided by 2. Sensitivity and specificity were calculated.ResultsFive patients were excluded (coil selection failure or missing sequence) and 100 patients were analyzed, 64 men and 36 women, 52\u00a0\u00b1\u00a013.3 years old, with a biochemical hepatic iron concentration range of 0\u2013630 \u00b5mol/g. Linear correlation between biochemical hepatic iron concentration and MR-hepatic iron concentration was excellent with a correlation coefficient = 0.96, p\u00a0<\u00a00.0001. Sensitivity and specificity were, respectively, 83% (0.70\u20130.92) and 96% (0.85\u20130.99), with a pathological threshold of 36\u00a0\u00b5mol/g.ConclusionSignal intensity ratio method for quantifying liver iron overload can be used at 3\u00a0T with echo times divided by 2.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00261-017-1077-8", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1297457", 
        "issn": [
          "2366-004X", 
          "2366-0058"
        ], 
        "name": "Abdominal Radiology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "42"
      }
    ], 
    "keywords": [
      "hepatic iron concentration", 
      "liver iron overload", 
      "iron overload", 
      "T MRI", 
      "muscle signal intensity ratio", 
      "MethodsInstitutional review board approval", 
      "liver iron concentration", 
      "review board approval", 
      "signal intensity ratio method", 
      "liver biopsy", 
      "ResultsFive patients", 
      "signal intensity ratio", 
      "board approval", 
      "biochemical assessment", 
      "patients", 
      "informed consent", 
      "iron concentration", 
      "gradient echo sequence", 
      "pathological threshold", 
      "MRI", 
      "echo time", 
      "overload", 
      "linear correlation", 
      "biopsy", 
      "specificity", 
      "liver", 
      "women", 
      "assessment", 
      "correlation coefficient", 
      "men", 
      "consent", 
      "concentration", 
      "approval", 
      "sensitivity", 
      "correlation", 
      "participants", 
      "years", 
      "time", 
      "threshold", 
      "purpose", 
      "method", 
      "concentration range", 
      "ratio", 
      "limitations", 
      "iron concentration range", 
      "ratio method", 
      "et al", 
      "sequence", 
      "range", 
      "intensity ratio", 
      "coefficient", 
      "performance", 
      "al", 
      "intensity ratio method", 
      "algorithm"
    ], 
    "name": "Assessment of liver iron overload by 3 T MRI", 
    "pagination": "1713-1720", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1083855034"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00261-017-1077-8"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28224171"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00261-017-1077-8", 
      "https://app.dimensions.ai/details/publication/pub.1083855034"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-09-02T16:01", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_734.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00261-017-1077-8"
  }
]
 

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/s00261-017-1077-8'

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/s00261-017-1077-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00261-017-1077-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00261-017-1077-8'


 

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

241 TRIPLES      21 PREDICATES      94 URIs      82 LITERALS      17 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00261-017-1077-8 schema:about N26c472a7ec7743a6a7433cbe00079b1a
2 N704d9723e8ec4f4c8dc1f6a7b34bd35f
3 N87aed8e9f4954cfc91e1e4889e5022a8
4 N87bb788e455f4cedb0fcebd01f1206fa
5 Nae5a32c44ce3465bab009f7a60b23281
6 Nc2318ec817414f4da1e6b31f0a6fe906
7 Nc47a2c7b88f042feadc575b0577a42dc
8 Ndfa19fadda30435098c6435327b657a2
9 Nefbc3a52f41246aea2a3bce80eb4edd8
10 Nfabae8fb50a04135a2e385a6eb529f60
11 anzsrc-for:11
12 anzsrc-for:1103
13 schema:author N0947055323cb4b0cb5e3c525baec5ec5
14 schema:citation sg:pub.10.1007/s002470100547
15 sg:pub.10.1007/s00330-010-1899-z
16 sg:pub.10.1111/j.1572-0241.2007.01192.x
17 sg:pub.10.1186/1532-429x-16-40
18 schema:datePublished 2017-02-21
19 schema:datePublishedReg 2017-02-21
20 schema:description Purpose To evaluate the performance and limitations of the signal intensity ratio method for quantifying liver iron overload at 3 T.MethodsInstitutional review board approval and written informed consent from all participants were obtained. One hundred and five patients were included prospectively. All patients underwent a liver biopsy with biochemical assessment of hepatic iron concentration and a 3 T MRI scan with 5 breath-hold single-echo gradient-echo sequences. Linear correlation between liver-to-muscle signal intensity ratio and liver iron concentration was calculated. The algorithm for calculating magnetic resonance hepatic iron concentration was adapted from the method described by Gandon et al. with echo times divided by 2. Sensitivity and specificity were calculated.ResultsFive patients were excluded (coil selection failure or missing sequence) and 100 patients were analyzed, 64 men and 36 women, 52 ± 13.3 years old, with a biochemical hepatic iron concentration range of 0–630 µmol/g. Linear correlation between biochemical hepatic iron concentration and MR-hepatic iron concentration was excellent with a correlation coefficient = 0.96, p < 0.0001. Sensitivity and specificity were, respectively, 83% (0.70–0.92) and 96% (0.85–0.99), with a pathological threshold of 36 µmol/g.ConclusionSignal intensity ratio method for quantifying liver iron overload can be used at 3 T with echo times divided by 2.
21 schema:genre article
22 schema:isAccessibleForFree true
23 schema:isPartOf N4279d7725ed04d4780db0616b26a8083
24 Nd7e495d64b5d4cce98bcb252d2e927fc
25 sg:journal.1297457
26 schema:keywords MRI
27 MethodsInstitutional review board approval
28 ResultsFive patients
29 T MRI
30 al
31 algorithm
32 approval
33 assessment
34 biochemical assessment
35 biopsy
36 board approval
37 coefficient
38 concentration
39 concentration range
40 consent
41 correlation
42 correlation coefficient
43 echo time
44 et al
45 gradient echo sequence
46 hepatic iron concentration
47 informed consent
48 intensity ratio
49 intensity ratio method
50 iron concentration
51 iron concentration range
52 iron overload
53 limitations
54 linear correlation
55 liver
56 liver biopsy
57 liver iron concentration
58 liver iron overload
59 men
60 method
61 muscle signal intensity ratio
62 overload
63 participants
64 pathological threshold
65 patients
66 performance
67 purpose
68 range
69 ratio
70 ratio method
71 review board approval
72 sensitivity
73 sequence
74 signal intensity ratio
75 signal intensity ratio method
76 specificity
77 threshold
78 time
79 women
80 years
81 schema:name Assessment of liver iron overload by 3 T MRI
82 schema:pagination 1713-1720
83 schema:productId N7b90a077ff7a4ac9bfb39649d062d73e
84 N831d875633834bf1b45f7628e4acde34
85 Ne1aa3cbc22ef4fb0ac071625b3f965ee
86 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083855034
87 https://doi.org/10.1007/s00261-017-1077-8
88 schema:sdDatePublished 2022-09-02T16:01
89 schema:sdLicense https://scigraph.springernature.com/explorer/license/
90 schema:sdPublisher Nb664dfe8022d43b18400a536149b40dd
91 schema:url https://doi.org/10.1007/s00261-017-1077-8
92 sgo:license sg:explorer/license/
93 sgo:sdDataset articles
94 rdf:type schema:ScholarlyArticle
95 N06211d66334b41f083f3e65dc7b51960 rdf:first sg:person.0673552165.51
96 rdf:rest Nce77629ea9244bcbb54fba3e06a7a81e
97 N0947055323cb4b0cb5e3c525baec5ec5 rdf:first sg:person.011726357455.77
98 rdf:rest N312530c109c14244ab23877869faf0f9
99 N12e71fe9c8fd42e588999894a935fccb rdf:first sg:person.01264364006.16
100 rdf:rest Ndf72d8101680422e925a6d1f0f1c5d64
101 N26c472a7ec7743a6a7433cbe00079b1a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Liver Diseases
103 rdf:type schema:DefinedTerm
104 N312530c109c14244ab23877869faf0f9 rdf:first sg:person.01356710473.59
105 rdf:rest N12e71fe9c8fd42e588999894a935fccb
106 N4279d7725ed04d4780db0616b26a8083 schema:volumeNumber 42
107 rdf:type schema:PublicationVolume
108 N498301c1ee8e4f9e996853d37e0a91b6 rdf:first sg:person.01034246047.41
109 rdf:rest rdf:nil
110 N704d9723e8ec4f4c8dc1f6a7b34bd35f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Biopsy
112 rdf:type schema:DefinedTerm
113 N7b90a077ff7a4ac9bfb39649d062d73e schema:name pubmed_id
114 schema:value 28224171
115 rdf:type schema:PropertyValue
116 N831d875633834bf1b45f7628e4acde34 schema:name dimensions_id
117 schema:value pub.1083855034
118 rdf:type schema:PropertyValue
119 N87aed8e9f4954cfc91e1e4889e5022a8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Humans
121 rdf:type schema:DefinedTerm
122 N87bb788e455f4cedb0fcebd01f1206fa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Algorithms
124 rdf:type schema:DefinedTerm
125 Nae5a32c44ce3465bab009f7a60b23281 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Male
127 rdf:type schema:DefinedTerm
128 Nb664dfe8022d43b18400a536149b40dd schema:name Springer Nature - SN SciGraph project
129 rdf:type schema:Organization
130 Nc2318ec817414f4da1e6b31f0a6fe906 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Middle Aged
132 rdf:type schema:DefinedTerm
133 Nc47a2c7b88f042feadc575b0577a42dc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Sensitivity and Specificity
135 rdf:type schema:DefinedTerm
136 Nc51b853d532f4c74acad2a4366424ceb rdf:first sg:person.01102421206.14
137 rdf:rest N498301c1ee8e4f9e996853d37e0a91b6
138 Nce77629ea9244bcbb54fba3e06a7a81e rdf:first sg:person.01205113376.22
139 rdf:rest Nc51b853d532f4c74acad2a4366424ceb
140 Nd7e495d64b5d4cce98bcb252d2e927fc schema:issueNumber 6
141 rdf:type schema:PublicationIssue
142 Ndf72d8101680422e925a6d1f0f1c5d64 rdf:first sg:person.0732662415.32
143 rdf:rest N06211d66334b41f083f3e65dc7b51960
144 Ndfa19fadda30435098c6435327b657a2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Iron Overload
146 rdf:type schema:DefinedTerm
147 Ne1aa3cbc22ef4fb0ac071625b3f965ee schema:name doi
148 schema:value 10.1007/s00261-017-1077-8
149 rdf:type schema:PropertyValue
150 Nefbc3a52f41246aea2a3bce80eb4edd8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Magnetic Resonance Imaging
152 rdf:type schema:DefinedTerm
153 Nfabae8fb50a04135a2e385a6eb529f60 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Female
155 rdf:type schema:DefinedTerm
156 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
157 schema:name Medical and Health Sciences
158 rdf:type schema:DefinedTerm
159 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
160 schema:name Clinical Sciences
161 rdf:type schema:DefinedTerm
162 sg:journal.1297457 schema:issn 2366-004X
163 2366-0058
164 schema:name Abdominal Radiology
165 schema:publisher Springer Nature
166 rdf:type schema:Periodical
167 sg:person.01034246047.41 schema:affiliation grid-institutes:grid.463996.7
168 schema:familyName Gandon
169 schema:givenName Y.
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01034246047.41
171 rdf:type schema:Person
172 sg:person.01102421206.14 schema:affiliation grid-institutes:grid.414271.5
173 schema:familyName Turlin
174 schema:givenName B.
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01102421206.14
176 rdf:type schema:Person
177 sg:person.011726357455.77 schema:affiliation grid-institutes:grid.414271.5
178 schema:familyName Paisant
179 schema:givenName A
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011726357455.77
181 rdf:type schema:Person
182 sg:person.01205113376.22 schema:affiliation grid-institutes:grid.411154.4
183 schema:familyName Lainé
184 schema:givenName F.
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01205113376.22
186 rdf:type schema:Person
187 sg:person.01264364006.16 schema:affiliation grid-institutes:grid.411154.4
188 schema:familyName Bardou-Jacquet
189 schema:givenName E.
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264364006.16
191 rdf:type schema:Person
192 sg:person.01356710473.59 schema:affiliation grid-institutes:grid.414271.5
193 schema:familyName Boulic
194 schema:givenName A.
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01356710473.59
196 rdf:type schema:Person
197 sg:person.0673552165.51 schema:affiliation grid-institutes:grid.463996.7
198 schema:familyName d’Assignies
199 schema:givenName G.
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673552165.51
201 rdf:type schema:Person
202 sg:person.0732662415.32 schema:affiliation grid-institutes:grid.411154.4
203 schema:familyName Bannier
204 schema:givenName E.
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0732662415.32
206 rdf:type schema:Person
207 sg:pub.10.1007/s002470100547 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015116075
208 https://doi.org/10.1007/s002470100547
209 rdf:type schema:CreativeWork
210 sg:pub.10.1007/s00330-010-1899-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1051544141
211 https://doi.org/10.1007/s00330-010-1899-z
212 rdf:type schema:CreativeWork
213 sg:pub.10.1111/j.1572-0241.2007.01192.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1040909965
214 https://doi.org/10.1111/j.1572-0241.2007.01192.x
215 rdf:type schema:CreativeWork
216 sg:pub.10.1186/1532-429x-16-40 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021796480
217 https://doi.org/10.1186/1532-429x-16-40
218 rdf:type schema:CreativeWork
219 grid-institutes:grid.411154.4 schema:alternateName Department of Hepatology, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France
220 Department of Radiology, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France
221 INSERM UMR991, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France
222 schema:name Department of Hepatology, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France
223 Department of Radiology, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France
224 Hepatic Disease Unit, Clinical investigation center, Hôpital Pontchaillou, Rennes University Hospital, CIC INSERM 1414, 2 rue H. Le Guilloux, 35033, Rennes, France
225 INSERM UMR991, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France
226 VisAGeS U746 Unit/Project, INSERM/INRIAIRISA, UMR CNRS 6074, University of Rennes 1, Beaulieu Campus, 35042, Rennes, France
227 rdf:type schema:Organization
228 grid-institutes:grid.414271.5 schema:alternateName Digestive Unit, Department of Radiology, Hôpital Pontchaillou, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France
229 Hepatic Disease Unit, Clinical investigation center, Hôpital Pontchaillou, Rennes University Hospital, CIC INSERM 1414, 2 rue H. Le Guilloux, 35033, Rennes, France
230 Service d’anatomie et de cytologie, Hôpital Pontchaillou, CHU Rennes, 2 rue H. Le Guilloux, 35033, Rennes, France
231 schema:name Department of Pathology, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France
232 Digestive Unit, Department of Radiology, Hôpital Pontchaillou, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France
233 Hepatic Disease Unit, Clinical investigation center, Hôpital Pontchaillou, Rennes University Hospital, CIC INSERM 1414, 2 rue H. Le Guilloux, 35033, Rennes, France
234 LTSI, INSERM U1099, University of Rennes 1, Beaulieu Campus, 35042, Rennes, France
235 Service d’anatomie et de cytologie, Hôpital Pontchaillou, CHU Rennes, 2 rue H. Le Guilloux, 35033, Rennes, France
236 rdf:type schema:Organization
237 grid-institutes:grid.463996.7 schema:alternateName LTSI, INSERM U1099, University of Rennes 1, Beaulieu Campus, 35042, Rennes, France
238 schema:name Digestive Unit, Department of Radiology, Hôpital Pontchaillou, Rennes University Hospital, 2 rue H. Le Guilloux, 35033, Rennes, France
239 Hepatic Disease Unit, Clinical investigation center, Hôpital Pontchaillou, Rennes University Hospital, CIC INSERM 1414, 2 rue H. Le Guilloux, 35033, Rennes, France
240 LTSI, INSERM U1099, University of Rennes 1, Beaulieu Campus, 35042, Rennes, France
241 rdf:type schema:Organization
 




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


...