Diffusion tensor imaging and brain volumetry in Fabry disease patients View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-01-05

AUTHORS

Teemu Paavilainen, Virva Lepomäki, Jani Saunavaara, Ronald Borra, Pirjo Nuutila, Ilkka Kantola, Riitta Parkkola

ABSTRACT

IntroductionFabry disease is a rare lysosomal storage disorder leading to cellular accumulation of globotriaosylceramide, especially in blood vessels. It is associated with severe early onset cerebrovascular disease and kidney and heart failure. The purpose of this study was to reveal possible disturbances in white matter integrity in Fabry disease patients using voxelwise diffusion-tensor imaging (DTI) analysis.MethodsTwelve Fabry disease patients, along with 13 healthy controls, underwent DTI and structural MRI. Voxel-based analysis of the DTI data was performed to assess possible differences in DTI parameters between Fabry disease patients and healthy controls. A selective region of interest analysis was performed for healthy volunteers and Fabry disease patients having a mild burden of T2-hyperintense lesions. We also measured normalised brain tissue volumes and performed a voxel-based volume analysis for grey matter.ResultsVoxel-based analysis of DTI data showed areas of significantly reduced fractional anisotropy and increased mean diffusivity in patients with Fabry disease. Eight patients had a mild burden of white matter lesions on their T2 scans. Region of interest analysis on areas showing reduced fractional anisotropy in voxelwise analysis also revealed reduced fractional anisotropy values in this patient group compared to eight healthy volunteers. The brain volume analyses did not reveal significant differences between the Fabry disease patients and the controls.ConclusionThese findings suggest a microstructural damage in brain white matter of Fabry disease patients, which can be revealed before excessive white matter lesions load is visible on conventional MR scans. More... »

PAGES

551-558

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00234-012-1131-8

DOI

http://dx.doi.org/10.1007/s00234-012-1131-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1037112950

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23292181


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/2008/1109", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Neurosciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adolescent", 
        "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": "Brain", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diffusion Magnetic Resonance Imaging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Fabry Disease", 
        "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 Interpretation, 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": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nerve Fibers, Myelinated", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Organ Size", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Medical Imaging Centre of Southwest Finland, Turku University Hospital, PO Box 52, 20521, Turku, Finland", 
          "id": "http://www.grid.ac/institutes/grid.410552.7", 
          "name": [
            "Medical Imaging Centre of Southwest Finland, Turku University Hospital, PO Box 52, 20521, Turku, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Paavilainen", 
        "givenName": "Teemu", 
        "id": "sg:person.0704147225.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704147225.57"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland", 
          "id": "http://www.grid.ac/institutes/grid.470895.7", 
          "name": [
            "Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lepom\u00e4ki", 
        "givenName": "Virva", 
        "id": "sg:person.0654636266.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654636266.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Medical Imaging Centre of Southwest Finland, Turku University Hospital, PO Box 52, 20521, Turku, Finland", 
          "id": "http://www.grid.ac/institutes/grid.410552.7", 
          "name": [
            "Medical Imaging Centre of Southwest Finland, Turku University Hospital, PO Box 52, 20521, Turku, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Saunavaara", 
        "givenName": "Jani", 
        "id": "sg:person.0674335047.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674335047.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Medical Imaging Centre of Southwest Finland, Turku University Hospital, PO Box 52, 20521, Turku, Finland", 
          "id": "http://www.grid.ac/institutes/grid.410552.7", 
          "name": [
            "Medical Imaging Centre of Southwest Finland, Turku University Hospital, PO Box 52, 20521, Turku, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Borra", 
        "givenName": "Ronald", 
        "id": "sg:person.015771361614.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015771361614.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Medicine, Turku University Hospital, Turku, Finland", 
          "id": "http://www.grid.ac/institutes/grid.410552.7", 
          "name": [
            "Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland", 
            "Department of Medicine, Turku University Hospital, Turku, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nuutila", 
        "givenName": "Pirjo", 
        "id": "sg:person.0763376117.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0763376117.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Medicine, Turku University Hospital, Turku, Finland", 
          "id": "http://www.grid.ac/institutes/grid.410552.7", 
          "name": [
            "Department of Medicine, Turku University Hospital, Turku, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kantola", 
        "givenName": "Ilkka", 
        "id": "sg:person.01246344125.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01246344125.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland", 
          "id": "http://www.grid.ac/institutes/grid.470895.7", 
          "name": [
            "Medical Imaging Centre of Southwest Finland, Turku University Hospital, PO Box 52, 20521, Turku, Finland", 
            "Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Parkkola", 
        "givenName": "Riitta", 
        "id": "sg:person.01364434501.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364434501.60"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00415-005-0020-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030080269", 
          "https://doi.org/10.1007/s00415-005-0020-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00415-006-0118-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006010435", 
          "https://doi.org/10.1007/s00415-006-0118-y"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-01-05", 
    "datePublishedReg": "2013-01-05", 
    "description": "IntroductionFabry disease is a rare lysosomal storage disorder leading to cellular accumulation of globotriaosylceramide, especially in blood vessels. It is associated with severe early onset cerebrovascular disease and kidney and heart failure. The purpose of this study was to reveal possible disturbances in white matter integrity in Fabry disease patients using voxelwise diffusion-tensor imaging (DTI) analysis.MethodsTwelve Fabry disease patients, along with 13 healthy controls, underwent DTI and structural MRI. Voxel-based analysis of the DTI data was performed to assess possible differences in DTI parameters between Fabry disease patients and healthy controls. A selective region of interest analysis was performed for healthy volunteers and Fabry disease patients having a mild burden of T2-hyperintense lesions. We also measured normalised brain tissue volumes and performed a voxel-based volume analysis for grey matter.ResultsVoxel-based analysis of DTI data showed areas of significantly reduced fractional anisotropy and increased mean diffusivity in patients with Fabry disease. Eight patients had a mild burden of white matter lesions on their T2 scans. Region of interest analysis on areas showing reduced fractional anisotropy in voxelwise analysis also revealed reduced fractional anisotropy values in this patient group compared to eight healthy volunteers. The brain volume analyses did not reveal significant differences between the Fabry disease patients and the controls.ConclusionThese findings suggest a microstructural damage in brain white matter of Fabry disease patients, which can be revealed before excessive white matter lesions load is visible on conventional MR scans.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00234-012-1131-8", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1055404", 
        "issn": [
          "0028-3940", 
          "1432-1920"
        ], 
        "name": "Neuroradiology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "55"
      }
    ], 
    "keywords": [
      "Fabry disease patients", 
      "disease patients", 
      "mild burden", 
      "healthy controls", 
      "healthy volunteers", 
      "early onset cerebrovascular disease", 
      "white matter lesion load", 
      "fractional anisotropy", 
      "interest analysis", 
      "diffusion tensor imaging (DTI) analysis", 
      "T2-hyperintense lesions", 
      "white matter lesions", 
      "brain tissue volumes", 
      "rare lysosomal storage disorder", 
      "brain volume analysis", 
      "fractional anisotropy values", 
      "white matter integrity", 
      "diffusion tensor imaging", 
      "DTI data", 
      "IntroductionFabry disease", 
      "lysosomal storage disorder", 
      "heart failure", 
      "cerebrovascular disease", 
      "matter lesions", 
      "patient group", 
      "brain white matter", 
      "lesion load", 
      "Fabry disease", 
      "patients", 
      "white matter", 
      "brain volumetry", 
      "conventional MR scans", 
      "gray matter", 
      "ConclusionThese findings", 
      "structural MRI", 
      "DTI parameters", 
      "mean diffusivity", 
      "tensor imaging", 
      "blood vessels", 
      "voxelwise analysis", 
      "MR scans", 
      "storage disorder", 
      "disease", 
      "T2 scans", 
      "tissue volume", 
      "cellular accumulation", 
      "significant differences", 
      "lesions", 
      "volume analysis", 
      "volunteers", 
      "scans", 
      "burden", 
      "possible differences", 
      "imaging analysis", 
      "kidney", 
      "selective regions", 
      "control", 
      "globotriaosylceramide", 
      "MRI", 
      "volumetry", 
      "disorders", 
      "anisotropy values", 
      "differences", 
      "DTI", 
      "microstructural damage", 
      "vessels", 
      "imaging", 
      "ResultsVoxel", 
      "group", 
      "failure", 
      "findings", 
      "possible disturbances", 
      "damage", 
      "analysis", 
      "data", 
      "study", 
      "accumulation", 
      "voxels", 
      "volume", 
      "disturbances", 
      "area", 
      "purpose", 
      "region", 
      "integrity", 
      "values", 
      "matter", 
      "parameters", 
      "load", 
      "diffusivity", 
      "anisotropy", 
      "severe early onset cerebrovascular disease", 
      "onset cerebrovascular disease", 
      "matter integrity", 
      "voxelwise diffusion-tensor imaging (DTI) analysis", 
      "MethodsTwelve Fabry disease patients", 
      "voxel-based volume analysis", 
      "excessive white matter lesions load", 
      "matter lesions load"
    ], 
    "name": "Diffusion tensor imaging and brain volumetry in Fabry disease patients", 
    "pagination": "551-558", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1037112950"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00234-012-1131-8"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23292181"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00234-012-1131-8", 
      "https://app.dimensions.ai/details/publication/pub.1037112950"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-12-01T19:28", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_604.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00234-012-1131-8"
  }
]
 

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/s00234-012-1131-8'

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/s00234-012-1131-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00234-012-1131-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00234-012-1131-8'


 

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

285 TRIPLES      22 PREDICATES      143 URIs      133 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00234-012-1131-8 schema:about N0b9ee7bda1904efe9d43b2e128175845
2 N2fbe498b800d4314bc3bc8848ca29e53
3 N387db460e66f4b1b9eb3a3725f271d1d
4 N4a3fd0da0d944098a3a8b4cd339d653c
5 N4c03001db02c44648e84979ad49a0d77
6 N6cdeb200095f4e8580f8109cf75a0fd8
7 N8acbde7b67e0427c86954605a3150fb5
8 N925c7031e16d4002b57b8afb495382df
9 Na44a031d538e47759bcb7f1a2eaa4af2
10 Nad4bbdc9531043e598a7ee55f638161a
11 Nc08a9fc7847f4504bc57bf07efa953ce
12 Nc28026784ce840f0926e645f94363653
13 Ncd9c5e6e756b4387a988ed09e2497b66
14 Ndbc56cf39e50432b8cc1247ea9f86114
15 Ne7887de435304d6f873b0283e6a310f0
16 Nea472fdfa28d4e8b986d889bcaa65b0b
17 Nf75affd6d44947c7a0b578abff1991c8
18 anzsrc-for:11
19 anzsrc-for:1109
20 schema:author N5389d1ea59a548be9254fdb5c01fa034
21 schema:citation sg:pub.10.1007/s00415-005-0020-z
22 sg:pub.10.1007/s00415-006-0118-y
23 schema:datePublished 2013-01-05
24 schema:datePublishedReg 2013-01-05
25 schema:description IntroductionFabry disease is a rare lysosomal storage disorder leading to cellular accumulation of globotriaosylceramide, especially in blood vessels. It is associated with severe early onset cerebrovascular disease and kidney and heart failure. The purpose of this study was to reveal possible disturbances in white matter integrity in Fabry disease patients using voxelwise diffusion-tensor imaging (DTI) analysis.MethodsTwelve Fabry disease patients, along with 13 healthy controls, underwent DTI and structural MRI. Voxel-based analysis of the DTI data was performed to assess possible differences in DTI parameters between Fabry disease patients and healthy controls. A selective region of interest analysis was performed for healthy volunteers and Fabry disease patients having a mild burden of T2-hyperintense lesions. We also measured normalised brain tissue volumes and performed a voxel-based volume analysis for grey matter.ResultsVoxel-based analysis of DTI data showed areas of significantly reduced fractional anisotropy and increased mean diffusivity in patients with Fabry disease. Eight patients had a mild burden of white matter lesions on their T2 scans. Region of interest analysis on areas showing reduced fractional anisotropy in voxelwise analysis also revealed reduced fractional anisotropy values in this patient group compared to eight healthy volunteers. The brain volume analyses did not reveal significant differences between the Fabry disease patients and the controls.ConclusionThese findings suggest a microstructural damage in brain white matter of Fabry disease patients, which can be revealed before excessive white matter lesions load is visible on conventional MR scans.
26 schema:genre article
27 schema:inLanguage en
28 schema:isAccessibleForFree false
29 schema:isPartOf N2665e96cdaff41a6b90b427b0260b0cc
30 N74a09b0ebc544113af6e77549993bc4a
31 sg:journal.1055404
32 schema:keywords ConclusionThese findings
33 DTI
34 DTI data
35 DTI parameters
36 Fabry disease
37 Fabry disease patients
38 IntroductionFabry disease
39 MR scans
40 MRI
41 MethodsTwelve Fabry disease patients
42 ResultsVoxel
43 T2 scans
44 T2-hyperintense lesions
45 accumulation
46 analysis
47 anisotropy
48 anisotropy values
49 area
50 blood vessels
51 brain tissue volumes
52 brain volume analysis
53 brain volumetry
54 brain white matter
55 burden
56 cellular accumulation
57 cerebrovascular disease
58 control
59 conventional MR scans
60 damage
61 data
62 differences
63 diffusion tensor imaging
64 diffusion tensor imaging (DTI) analysis
65 diffusivity
66 disease
67 disease patients
68 disorders
69 disturbances
70 early onset cerebrovascular disease
71 excessive white matter lesions load
72 failure
73 findings
74 fractional anisotropy
75 fractional anisotropy values
76 globotriaosylceramide
77 gray matter
78 group
79 healthy controls
80 healthy volunteers
81 heart failure
82 imaging
83 imaging analysis
84 integrity
85 interest analysis
86 kidney
87 lesion load
88 lesions
89 load
90 lysosomal storage disorder
91 matter
92 matter integrity
93 matter lesions
94 matter lesions load
95 mean diffusivity
96 microstructural damage
97 mild burden
98 onset cerebrovascular disease
99 parameters
100 patient group
101 patients
102 possible differences
103 possible disturbances
104 purpose
105 rare lysosomal storage disorder
106 region
107 scans
108 selective regions
109 severe early onset cerebrovascular disease
110 significant differences
111 storage disorder
112 structural MRI
113 study
114 tensor imaging
115 tissue volume
116 values
117 vessels
118 volume
119 volume analysis
120 volumetry
121 volunteers
122 voxel-based volume analysis
123 voxels
124 voxelwise analysis
125 voxelwise diffusion-tensor imaging (DTI) analysis
126 white matter
127 white matter integrity
128 white matter lesion load
129 white matter lesions
130 schema:name Diffusion tensor imaging and brain volumetry in Fabry disease patients
131 schema:pagination 551-558
132 schema:productId N3ca0d16639134f2493e9bbfce13cbbf4
133 Na95c06fcee4f44b29b6dec4dc38b2e98
134 Nd5dac6af4e2a47e5b85d353f5243cae1
135 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037112950
136 https://doi.org/10.1007/s00234-012-1131-8
137 schema:sdDatePublished 2021-12-01T19:28
138 schema:sdLicense https://scigraph.springernature.com/explorer/license/
139 schema:sdPublisher Nd526cdf7188141f087835e03a5d129fd
140 schema:url https://doi.org/10.1007/s00234-012-1131-8
141 sgo:license sg:explorer/license/
142 sgo:sdDataset articles
143 rdf:type schema:ScholarlyArticle
144 N0b9ee7bda1904efe9d43b2e128175845 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Adult
146 rdf:type schema:DefinedTerm
147 N2448ad5c3a644722ad4280c92fa55566 rdf:first sg:person.015771361614.38
148 rdf:rest N5256543c80e348fbad6f5af899857bd0
149 N2665e96cdaff41a6b90b427b0260b0cc schema:issueNumber 5
150 rdf:type schema:PublicationIssue
151 N2fbe498b800d4314bc3bc8848ca29e53 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Reproducibility of Results
153 rdf:type schema:DefinedTerm
154 N387db460e66f4b1b9eb3a3725f271d1d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Aged
156 rdf:type schema:DefinedTerm
157 N3ca0d16639134f2493e9bbfce13cbbf4 schema:name dimensions_id
158 schema:value pub.1037112950
159 rdf:type schema:PropertyValue
160 N4a3fd0da0d944098a3a8b4cd339d653c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Young Adult
162 rdf:type schema:DefinedTerm
163 N4c03001db02c44648e84979ad49a0d77 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name Male
165 rdf:type schema:DefinedTerm
166 N5232b100e3424a4a8c12acf5bf2f5b71 rdf:first sg:person.01246344125.58
167 rdf:rest N97c47f0647724e9696fb60393b5f4cdc
168 N5256543c80e348fbad6f5af899857bd0 rdf:first sg:person.0763376117.17
169 rdf:rest N5232b100e3424a4a8c12acf5bf2f5b71
170 N5389d1ea59a548be9254fdb5c01fa034 rdf:first sg:person.0704147225.57
171 rdf:rest N8f9aa007a39e4566925e63ec7705d9dc
172 N629f6e55d16b458ab6ea0f4a53017e44 rdf:first sg:person.0674335047.01
173 rdf:rest N2448ad5c3a644722ad4280c92fa55566
174 N6cdeb200095f4e8580f8109cf75a0fd8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
175 schema:name Middle Aged
176 rdf:type schema:DefinedTerm
177 N74a09b0ebc544113af6e77549993bc4a schema:volumeNumber 55
178 rdf:type schema:PublicationVolume
179 N8acbde7b67e0427c86954605a3150fb5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
180 schema:name Adolescent
181 rdf:type schema:DefinedTerm
182 N8f9aa007a39e4566925e63ec7705d9dc rdf:first sg:person.0654636266.12
183 rdf:rest N629f6e55d16b458ab6ea0f4a53017e44
184 N925c7031e16d4002b57b8afb495382df schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
185 schema:name Diffusion Magnetic Resonance Imaging
186 rdf:type schema:DefinedTerm
187 N97c47f0647724e9696fb60393b5f4cdc rdf:first sg:person.01364434501.60
188 rdf:rest rdf:nil
189 Na44a031d538e47759bcb7f1a2eaa4af2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
190 schema:name Image Interpretation, Computer-Assisted
191 rdf:type schema:DefinedTerm
192 Na95c06fcee4f44b29b6dec4dc38b2e98 schema:name doi
193 schema:value 10.1007/s00234-012-1131-8
194 rdf:type schema:PropertyValue
195 Nad4bbdc9531043e598a7ee55f638161a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
196 schema:name Fabry Disease
197 rdf:type schema:DefinedTerm
198 Nc08a9fc7847f4504bc57bf07efa953ce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
199 schema:name Nerve Fibers, Myelinated
200 rdf:type schema:DefinedTerm
201 Nc28026784ce840f0926e645f94363653 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
202 schema:name Imaging, Three-Dimensional
203 rdf:type schema:DefinedTerm
204 Ncd9c5e6e756b4387a988ed09e2497b66 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
205 schema:name Brain
206 rdf:type schema:DefinedTerm
207 Nd526cdf7188141f087835e03a5d129fd schema:name Springer Nature - SN SciGraph project
208 rdf:type schema:Organization
209 Nd5dac6af4e2a47e5b85d353f5243cae1 schema:name pubmed_id
210 schema:value 23292181
211 rdf:type schema:PropertyValue
212 Ndbc56cf39e50432b8cc1247ea9f86114 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
213 schema:name Humans
214 rdf:type schema:DefinedTerm
215 Ne7887de435304d6f873b0283e6a310f0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
216 schema:name Female
217 rdf:type schema:DefinedTerm
218 Nea472fdfa28d4e8b986d889bcaa65b0b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
219 schema:name Sensitivity and Specificity
220 rdf:type schema:DefinedTerm
221 Nf75affd6d44947c7a0b578abff1991c8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
222 schema:name Organ Size
223 rdf:type schema:DefinedTerm
224 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
225 schema:name Medical and Health Sciences
226 rdf:type schema:DefinedTerm
227 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
228 schema:name Neurosciences
229 rdf:type schema:DefinedTerm
230 sg:journal.1055404 schema:issn 0028-3940
231 1432-1920
232 schema:name Neuroradiology
233 schema:publisher Springer Nature
234 rdf:type schema:Periodical
235 sg:person.01246344125.58 schema:affiliation grid-institutes:grid.410552.7
236 schema:familyName Kantola
237 schema:givenName Ilkka
238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01246344125.58
239 rdf:type schema:Person
240 sg:person.01364434501.60 schema:affiliation grid-institutes:grid.470895.7
241 schema:familyName Parkkola
242 schema:givenName Riitta
243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364434501.60
244 rdf:type schema:Person
245 sg:person.015771361614.38 schema:affiliation grid-institutes:grid.410552.7
246 schema:familyName Borra
247 schema:givenName Ronald
248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015771361614.38
249 rdf:type schema:Person
250 sg:person.0654636266.12 schema:affiliation grid-institutes:grid.470895.7
251 schema:familyName Lepomäki
252 schema:givenName Virva
253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654636266.12
254 rdf:type schema:Person
255 sg:person.0674335047.01 schema:affiliation grid-institutes:grid.410552.7
256 schema:familyName Saunavaara
257 schema:givenName Jani
258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674335047.01
259 rdf:type schema:Person
260 sg:person.0704147225.57 schema:affiliation grid-institutes:grid.410552.7
261 schema:familyName Paavilainen
262 schema:givenName Teemu
263 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704147225.57
264 rdf:type schema:Person
265 sg:person.0763376117.17 schema:affiliation grid-institutes:grid.410552.7
266 schema:familyName Nuutila
267 schema:givenName Pirjo
268 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0763376117.17
269 rdf:type schema:Person
270 sg:pub.10.1007/s00415-005-0020-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1030080269
271 https://doi.org/10.1007/s00415-005-0020-z
272 rdf:type schema:CreativeWork
273 sg:pub.10.1007/s00415-006-0118-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1006010435
274 https://doi.org/10.1007/s00415-006-0118-y
275 rdf:type schema:CreativeWork
276 grid-institutes:grid.410552.7 schema:alternateName Department of Medicine, Turku University Hospital, Turku, Finland
277 Medical Imaging Centre of Southwest Finland, Turku University Hospital, PO Box 52, 20521, Turku, Finland
278 schema:name Department of Medicine, Turku University Hospital, Turku, Finland
279 Medical Imaging Centre of Southwest Finland, Turku University Hospital, PO Box 52, 20521, Turku, Finland
280 Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
281 rdf:type schema:Organization
282 grid-institutes:grid.470895.7 schema:alternateName Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
283 schema:name Medical Imaging Centre of Southwest Finland, Turku University Hospital, PO Box 52, 20521, Turku, Finland
284 Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
285 rdf:type schema:Organization
 




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


...