Comparison of choline influx from dynamic 18F-Choline PET/CT and clinicopathological parameters in prostate cancer initial assessment View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-02-28

AUTHORS

Xavier Palard-Novello, Anne-Lise Blin, David Bourhis, Etienne Garin, Pierre-Yves Salaün, Anne Devillers, Solène Querellou, Patrick Bourguet, Florence Le Jeune, Hervé Saint-Jalmes

ABSTRACT

AimThe aim of the study was to compare the kinetic analysis of 18F-labeled choline (FCH) uptake with static analysis and clinicopathological parameters in patients with newly diagnosed prostate cancer (PC).Materials and methodsSixty-one patients were included. PSA was performed few days before FCH PET/CT. Gleason scoring (GS) was collected from systematic sextant biopsies. FCH PET/CT consisted in a dual phase: early pelvic list-mode acquisition (from 0 to10 min post-injection) and late whole-body acquisition (60 min post-injection). PC volume of interest was drawn using an adaptative thresholding (40% of the maximal uptake) on the late acquisition and projected onto an early static frame of 10 min and each of the 20 reconstructed frames of 30 s. Kinetic analysis was performed using an imaging-derived plasma input function. Early kinetic parameter (K1 as influx) and static parameters (early SUVmean, late SUVmean, and retention index) were extracted and compared to clinicopathological parameters.ResultsK1 was significantly, but moderately correlated with early SUVmean (r = 0.57, p < 0.001) and late SUVmean (r = 0.43, p < 0.001). K1, early SUVmean, and late SUVmean were moderately correlated with PSA level (respectively, r = 0.36, p = 0.004; r = 0.67, p < 0.001; r = 0.51, p < 0.001). Concerning GS, K1 was higher for patients with GS ≥ 4 + 3 than for patients with GS < 4 + 3 (median value 0.409 vs 0.272 min− 1, p < 0.001). No significant difference was observed for static parameters.ConclusionsFCH influx index K1 seems to be related to GS and could be a non-invasive tool to gain further information concerning tumor aggressiveness. More... »

PAGES

281-287

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12149-018-1246-z

DOI

http://dx.doi.org/10.1007/s12149-018-1246-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1101267698

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29492810


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/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "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": "Biological Transport", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Choline", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Kinetics", 
        "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": "Positron Emission Tomography Computed Tomography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prostatic Neoplasms", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "UMR1099 INSERM, Rennes, France", 
          "id": "http://www.grid.ac/institutes/grid.7429.8", 
          "name": [
            "University of Rennes 1, Rennes, France", 
            "Department of Nuclear Medicine, Centre Eug\u00e8ne Marquis, Avenue de la Bataille Flandres-Dunkerque, 35000, Rennes, France", 
            "UMR1099 INSERM, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Palard-Novello", 
        "givenName": "Xavier", 
        "id": "sg:person.01003201417.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003201417.71"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "UMR1099 INSERM, Rennes, France", 
          "id": "http://www.grid.ac/institutes/grid.7429.8", 
          "name": [
            "University of Rennes 1, Rennes, France", 
            "UMR1099 INSERM, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Blin", 
        "givenName": "Anne-Lise", 
        "id": "sg:person.010737626632.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010737626632.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Nuclear Medicine, Centre Hospitalier Universitaire, Brest, France", 
          "id": "http://www.grid.ac/institutes/grid.411766.3", 
          "name": [
            "Department of Nuclear Medicine, Centre Hospitalier Universitaire, Brest, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bourhis", 
        "givenName": "David", 
        "id": "sg:person.0636567456.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0636567456.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "UMR 1241 INSERM, Rennes, France", 
          "id": "http://www.grid.ac/institutes/grid.7429.8", 
          "name": [
            "University of Rennes 1, Rennes, France", 
            "Department of Nuclear Medicine, Centre Eug\u00e8ne Marquis, Avenue de la Bataille Flandres-Dunkerque, 35000, Rennes, France", 
            "UMR 1241 INSERM, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Garin", 
        "givenName": "Etienne", 
        "id": "sg:person.0620512077.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0620512077.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "EA 3878, Brest, France", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Nuclear Medicine, Centre Hospitalier Universitaire, Brest, France", 
            "University of Bretagne Occidentale, Brest, France", 
            "EA 3878, Brest, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sala\u00fcn", 
        "givenName": "Pierre-Yves", 
        "id": "sg:person.01021766527.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021766527.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Nuclear Medicine, Centre Eug\u00e8ne Marquis, Avenue de la Bataille Flandres-Dunkerque, 35000, Rennes, France", 
          "id": "http://www.grid.ac/institutes/grid.417988.b", 
          "name": [
            "Department of Nuclear Medicine, Centre Eug\u00e8ne Marquis, Avenue de la Bataille Flandres-Dunkerque, 35000, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Devillers", 
        "givenName": "Anne", 
        "id": "sg:person.0661113347.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0661113347.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "EA 3878, Brest, France", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Nuclear Medicine, Centre Hospitalier Universitaire, Brest, France", 
            "University of Bretagne Occidentale, Brest, France", 
            "EA 3878, Brest, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Querellou", 
        "givenName": "Sol\u00e8ne", 
        "id": "sg:person.01342720603.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01342720603.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Rennes 1, Rennes, France", 
          "id": "http://www.grid.ac/institutes/grid.410368.8", 
          "name": [
            "University of Rennes 1, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bourguet", 
        "givenName": "Patrick", 
        "id": "sg:person.0620506232.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0620506232.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "EA 4712, Rennes, France", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "University of Rennes 1, Rennes, France", 
            "Department of Nuclear Medicine, Centre Eug\u00e8ne Marquis, Avenue de la Bataille Flandres-Dunkerque, 35000, Rennes, France", 
            "EA 4712, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Le Jeune", 
        "givenName": "Florence", 
        "id": "sg:person.01134250705.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01134250705.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "UMR1099 INSERM, Rennes, France", 
          "id": "http://www.grid.ac/institutes/grid.7429.8", 
          "name": [
            "University of Rennes 1, Rennes, France", 
            "Department of Nuclear Medicine, Centre Eug\u00e8ne Marquis, Avenue de la Bataille Flandres-Dunkerque, 35000, Rennes, France", 
            "UMR1099 INSERM, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Saint-Jalmes", 
        "givenName": "Herv\u00e9", 
        "id": "sg:person.01313601140.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313601140.96"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00259-014-2786-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003870319", 
          "https://doi.org/10.1007/s00259-014-2786-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-007-0581-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039706010", 
          "https://doi.org/10.1007/s00259-007-0581-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13550-017-0269-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084252469", 
          "https://doi.org/10.1186/s13550-017-0269-0"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-02-28", 
    "datePublishedReg": "2018-02-28", 
    "description": "AimThe aim of the study was to compare the kinetic analysis of 18F-labeled choline (FCH) uptake with static analysis and clinicopathological parameters in patients with newly diagnosed prostate cancer (PC).Materials and methodsSixty-one patients were included. PSA was performed few days before FCH PET/CT. Gleason scoring (GS) was collected from systematic sextant biopsies. FCH PET/CT consisted in a dual phase: early pelvic list-mode acquisition (from 0 to10 min post-injection) and late whole-body acquisition (60\u00a0min post-injection). PC volume of interest was drawn using an adaptative thresholding (40% of the maximal uptake) on the late acquisition and projected onto an early static frame of 10\u00a0min and each of the 20 reconstructed frames of 30\u00a0s. Kinetic analysis was performed using an imaging-derived plasma input function. Early kinetic parameter (K1 as influx) and static parameters (early SUVmean, late SUVmean, and retention index) were extracted and compared to clinicopathological parameters.ResultsK1 was significantly, but moderately correlated with early SUVmean (r\u2009=\u20090.57, p\u2009<\u20090.001) and late SUVmean (r\u2009=\u20090.43, p\u2009<\u20090.001). K1, early SUVmean, and late SUVmean were moderately correlated with PSA level (respectively, r\u2009=\u20090.36, p\u2009=\u20090.004; r\u2009=\u20090.67, p\u2009<\u20090.001; r\u2009=\u20090.51, p\u2009<\u20090.001). Concerning GS, K1 was higher for patients with GS\u2009\u2265\u20094\u2009+\u20093 than for patients with GS\u2009<\u20094\u2009+\u20093 (median value 0.409 vs 0.272\u00a0min\u2212\u20091, p\u2009<\u20090.001). No significant difference was observed for static parameters.ConclusionsFCH influx index K1 seems to be related to GS and could be a non-invasive tool to gain further information concerning tumor aggressiveness.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s12149-018-1246-z", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1099601", 
        "issn": [
          "0914-7187", 
          "1864-6433"
        ], 
        "name": "Annals of Nuclear Medicine", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "32"
      }
    ], 
    "keywords": [
      "PET/CT", 
      "FCH PET/CT", 
      "Gleason scoring", 
      "clinicopathological parameters", 
      "prostate cancer", 
      "systematic sextant biopsies", 
      "whole-body acquisition", 
      "non-invasive tool", 
      "PSA levels", 
      "plasma input function", 
      "sextant biopsy", 
      "tumor aggressiveness", 
      "AimThe aim", 
      "patients", 
      "SUVmean", 
      "choline influx", 
      "list-mode acquisition", 
      "initial assessment", 
      "CT", 
      "significant differences", 
      "PC volume", 
      "late acquisition", 
      "biopsy", 
      "further information", 
      "cancer", 
      "input function", 
      "PSA", 
      "aggressiveness", 
      "days", 
      "choline", 
      "influx", 
      "aim", 
      "scoring", 
      "min", 
      "assessment", 
      "kinetic analysis", 
      "levels", 
      "differences", 
      "study", 
      "analysis", 
      "acquisition", 
      "volume", 
      "K1", 
      "function", 
      "comparison", 
      "parameters", 
      "adaptative thresholding", 
      "static parameters", 
      "information", 
      "tool", 
      "interest", 
      "materials", 
      "phase", 
      "kinetic parameters", 
      "frame", 
      "static frame", 
      "dual phase", 
      "thresholding", 
      "static analysis", 
      "early pelvic list-mode acquisition", 
      "pelvic list-mode acquisition", 
      "late whole-body acquisition", 
      "early static frame", 
      "imaging-derived plasma input function", 
      "Early kinetic parameter", 
      "ResultsK1", 
      "early SUVmean", 
      "late SUVmean", 
      "ConclusionsFCH influx index K1", 
      "influx index K1", 
      "index K1", 
      "prostate cancer initial assessment", 
      "cancer initial assessment"
    ], 
    "name": "Comparison of choline influx from dynamic 18F-Choline PET/CT and clinicopathological parameters in prostate cancer initial assessment", 
    "pagination": "281-287", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1101267698"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12149-018-1246-z"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29492810"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12149-018-1246-z", 
      "https://app.dimensions.ai/details/publication/pub.1101267698"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-11-01T18:32", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/article/article_759.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s12149-018-1246-z"
  }
]
 

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/s12149-018-1246-z'

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/s12149-018-1246-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12149-018-1246-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12149-018-1246-z'


 

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

272 TRIPLES      22 PREDICATES      112 URIs      101 LITERALS      17 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12149-018-1246-z schema:about N13af8a41eec94e0abc2ae22757e798ea
2 N43b9c62a4fdf4f5caf4ac4bc8e408248
3 N674c8a6711ad48d4ba63863e22d9b266
4 N79cee4600d4a40c9add93b0781b44a53
5 Nb7bd9fd6dd08452692b84970f3af5789
6 Nce44726177e34ceba9808a2e518ec48d
7 Nce7db1ac628643a8b417110c095682e4
8 Nf86f39dc1452404a859d4d09d2460190
9 Nfbf24a976390402c986301d9abd4b913
10 Nfc85e68c8b98458bb74ad262ddb52123
11 anzsrc-for:11
12 anzsrc-for:1112
13 schema:author N64ec2639692f498ca07c65cbdd6c4a0d
14 schema:citation sg:pub.10.1007/s00259-007-0581-4
15 sg:pub.10.1007/s00259-014-2786-7
16 sg:pub.10.1186/s13550-017-0269-0
17 schema:datePublished 2018-02-28
18 schema:datePublishedReg 2018-02-28
19 schema:description AimThe aim of the study was to compare the kinetic analysis of 18F-labeled choline (FCH) uptake with static analysis and clinicopathological parameters in patients with newly diagnosed prostate cancer (PC).Materials and methodsSixty-one patients were included. PSA was performed few days before FCH PET/CT. Gleason scoring (GS) was collected from systematic sextant biopsies. FCH PET/CT consisted in a dual phase: early pelvic list-mode acquisition (from 0 to10 min post-injection) and late whole-body acquisition (60 min post-injection). PC volume of interest was drawn using an adaptative thresholding (40% of the maximal uptake) on the late acquisition and projected onto an early static frame of 10 min and each of the 20 reconstructed frames of 30 s. Kinetic analysis was performed using an imaging-derived plasma input function. Early kinetic parameter (K1 as influx) and static parameters (early SUVmean, late SUVmean, and retention index) were extracted and compared to clinicopathological parameters.ResultsK1 was significantly, but moderately correlated with early SUVmean (r = 0.57, p < 0.001) and late SUVmean (r = 0.43, p < 0.001). K1, early SUVmean, and late SUVmean were moderately correlated with PSA level (respectively, r = 0.36, p = 0.004; r = 0.67, p < 0.001; r = 0.51, p < 0.001). Concerning GS, K1 was higher for patients with GS ≥ 4 + 3 than for patients with GS < 4 + 3 (median value 0.409 vs 0.272 min− 1, p < 0.001). No significant difference was observed for static parameters.ConclusionsFCH influx index K1 seems to be related to GS and could be a non-invasive tool to gain further information concerning tumor aggressiveness.
20 schema:genre article
21 schema:inLanguage en
22 schema:isAccessibleForFree false
23 schema:isPartOf N69fbe6118fb44ae7918cf82b43d1a39e
24 N6e1ffcfe69d645ffae081928d7ae8daa
25 sg:journal.1099601
26 schema:keywords AimThe aim
27 CT
28 ConclusionsFCH influx index K1
29 Early kinetic parameter
30 FCH PET/CT
31 Gleason scoring
32 K1
33 PC volume
34 PET/CT
35 PSA
36 PSA levels
37 ResultsK1
38 SUVmean
39 acquisition
40 adaptative thresholding
41 aggressiveness
42 aim
43 analysis
44 assessment
45 biopsy
46 cancer
47 cancer initial assessment
48 choline
49 choline influx
50 clinicopathological parameters
51 comparison
52 days
53 differences
54 dual phase
55 early SUVmean
56 early pelvic list-mode acquisition
57 early static frame
58 frame
59 function
60 further information
61 imaging-derived plasma input function
62 index K1
63 influx
64 influx index K1
65 information
66 initial assessment
67 input function
68 interest
69 kinetic analysis
70 kinetic parameters
71 late SUVmean
72 late acquisition
73 late whole-body acquisition
74 levels
75 list-mode acquisition
76 materials
77 min
78 non-invasive tool
79 parameters
80 patients
81 pelvic list-mode acquisition
82 phase
83 plasma input function
84 prostate cancer
85 prostate cancer initial assessment
86 scoring
87 sextant biopsy
88 significant differences
89 static analysis
90 static frame
91 static parameters
92 study
93 systematic sextant biopsies
94 thresholding
95 tool
96 tumor aggressiveness
97 volume
98 whole-body acquisition
99 schema:name Comparison of choline influx from dynamic 18F-Choline PET/CT and clinicopathological parameters in prostate cancer initial assessment
100 schema:pagination 281-287
101 schema:productId N77c371d93ccb4bceb84adec7f4842d2b
102 N8a82685667294849a7ff8f60a395d782
103 Na4778616527f4a8db2e71927f545e5fb
104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101267698
105 https://doi.org/10.1007/s12149-018-1246-z
106 schema:sdDatePublished 2021-11-01T18:32
107 schema:sdLicense https://scigraph.springernature.com/explorer/license/
108 schema:sdPublisher N6647058e762342c2b683d89deac4512f
109 schema:url https://doi.org/10.1007/s12149-018-1246-z
110 sgo:license sg:explorer/license/
111 sgo:sdDataset articles
112 rdf:type schema:ScholarlyArticle
113 N13af8a41eec94e0abc2ae22757e798ea schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Positron Emission Tomography Computed Tomography
115 rdf:type schema:DefinedTerm
116 N2706bcb05c354ccfb886f58097363a8a rdf:first sg:person.01342720603.94
117 rdf:rest N58f088dfb0194a02bcc04d0d64fca8fe
118 N3f648b2234a84c5ab3be19c65e3ce1a3 rdf:first sg:person.010737626632.49
119 rdf:rest N5e53b6233718430dab427ff727000c5c
120 N43b9c62a4fdf4f5caf4ac4bc8e408248 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Kinetics
122 rdf:type schema:DefinedTerm
123 N58f088dfb0194a02bcc04d0d64fca8fe rdf:first sg:person.0620506232.31
124 rdf:rest Nfafa35f60f66445b9b7aeaf02ed0f296
125 N5e53b6233718430dab427ff727000c5c rdf:first sg:person.0636567456.08
126 rdf:rest N6364cf8fa8cb48269f90dc61cbde299c
127 N6364cf8fa8cb48269f90dc61cbde299c rdf:first sg:person.0620512077.06
128 rdf:rest Nca85826352cd49b7bd735263b925f6f0
129 N64ec2639692f498ca07c65cbdd6c4a0d rdf:first sg:person.01003201417.71
130 rdf:rest N3f648b2234a84c5ab3be19c65e3ce1a3
131 N6647058e762342c2b683d89deac4512f schema:name Springer Nature - SN SciGraph project
132 rdf:type schema:Organization
133 N674c8a6711ad48d4ba63863e22d9b266 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Middle Aged
135 rdf:type schema:DefinedTerm
136 N69fbe6118fb44ae7918cf82b43d1a39e schema:issueNumber 4
137 rdf:type schema:PublicationIssue
138 N6e1ffcfe69d645ffae081928d7ae8daa schema:volumeNumber 32
139 rdf:type schema:PublicationVolume
140 N77c371d93ccb4bceb84adec7f4842d2b schema:name pubmed_id
141 schema:value 29492810
142 rdf:type schema:PropertyValue
143 N79cee4600d4a40c9add93b0781b44a53 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Choline
145 rdf:type schema:DefinedTerm
146 N7d2bf6ad85dc4326a01ce00502f7d33e rdf:first sg:person.0661113347.52
147 rdf:rest N2706bcb05c354ccfb886f58097363a8a
148 N8a82685667294849a7ff8f60a395d782 schema:name dimensions_id
149 schema:value pub.1101267698
150 rdf:type schema:PropertyValue
151 Na4778616527f4a8db2e71927f545e5fb schema:name doi
152 schema:value 10.1007/s12149-018-1246-z
153 rdf:type schema:PropertyValue
154 Nb7bd9fd6dd08452692b84970f3af5789 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Biological Transport
156 rdf:type schema:DefinedTerm
157 Nbf1605aee36842aeaf5b13840aed1644 rdf:first sg:person.01313601140.96
158 rdf:rest rdf:nil
159 Nca85826352cd49b7bd735263b925f6f0 rdf:first sg:person.01021766527.49
160 rdf:rest N7d2bf6ad85dc4326a01ce00502f7d33e
161 Nce44726177e34ceba9808a2e518ec48d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Humans
163 rdf:type schema:DefinedTerm
164 Nce7db1ac628643a8b417110c095682e4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Prostatic Neoplasms
166 rdf:type schema:DefinedTerm
167 Nf86f39dc1452404a859d4d09d2460190 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Aged
169 rdf:type schema:DefinedTerm
170 Nfafa35f60f66445b9b7aeaf02ed0f296 rdf:first sg:person.01134250705.97
171 rdf:rest Nbf1605aee36842aeaf5b13840aed1644
172 Nfbf24a976390402c986301d9abd4b913 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Aged, 80 and over
174 rdf:type schema:DefinedTerm
175 Nfc85e68c8b98458bb74ad262ddb52123 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
176 schema:name Male
177 rdf:type schema:DefinedTerm
178 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
179 schema:name Medical and Health Sciences
180 rdf:type schema:DefinedTerm
181 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
182 schema:name Oncology and Carcinogenesis
183 rdf:type schema:DefinedTerm
184 sg:journal.1099601 schema:issn 0914-7187
185 1864-6433
186 schema:name Annals of Nuclear Medicine
187 schema:publisher Springer Nature
188 rdf:type schema:Periodical
189 sg:person.01003201417.71 schema:affiliation grid-institutes:grid.7429.8
190 schema:familyName Palard-Novello
191 schema:givenName Xavier
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003201417.71
193 rdf:type schema:Person
194 sg:person.01021766527.49 schema:affiliation grid-institutes:None
195 schema:familyName Salaün
196 schema:givenName Pierre-Yves
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021766527.49
198 rdf:type schema:Person
199 sg:person.010737626632.49 schema:affiliation grid-institutes:grid.7429.8
200 schema:familyName Blin
201 schema:givenName Anne-Lise
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010737626632.49
203 rdf:type schema:Person
204 sg:person.01134250705.97 schema:affiliation grid-institutes:None
205 schema:familyName Le Jeune
206 schema:givenName Florence
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01134250705.97
208 rdf:type schema:Person
209 sg:person.01313601140.96 schema:affiliation grid-institutes:grid.7429.8
210 schema:familyName Saint-Jalmes
211 schema:givenName Hervé
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313601140.96
213 rdf:type schema:Person
214 sg:person.01342720603.94 schema:affiliation grid-institutes:None
215 schema:familyName Querellou
216 schema:givenName Solène
217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01342720603.94
218 rdf:type schema:Person
219 sg:person.0620506232.31 schema:affiliation grid-institutes:grid.410368.8
220 schema:familyName Bourguet
221 schema:givenName Patrick
222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0620506232.31
223 rdf:type schema:Person
224 sg:person.0620512077.06 schema:affiliation grid-institutes:grid.7429.8
225 schema:familyName Garin
226 schema:givenName Etienne
227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0620512077.06
228 rdf:type schema:Person
229 sg:person.0636567456.08 schema:affiliation grid-institutes:grid.411766.3
230 schema:familyName Bourhis
231 schema:givenName David
232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0636567456.08
233 rdf:type schema:Person
234 sg:person.0661113347.52 schema:affiliation grid-institutes:grid.417988.b
235 schema:familyName Devillers
236 schema:givenName Anne
237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0661113347.52
238 rdf:type schema:Person
239 sg:pub.10.1007/s00259-007-0581-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039706010
240 https://doi.org/10.1007/s00259-007-0581-4
241 rdf:type schema:CreativeWork
242 sg:pub.10.1007/s00259-014-2786-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003870319
243 https://doi.org/10.1007/s00259-014-2786-7
244 rdf:type schema:CreativeWork
245 sg:pub.10.1186/s13550-017-0269-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084252469
246 https://doi.org/10.1186/s13550-017-0269-0
247 rdf:type schema:CreativeWork
248 grid-institutes:None schema:alternateName EA 3878, Brest, France
249 EA 4712, Rennes, France
250 schema:name Department of Nuclear Medicine, Centre Eugène Marquis, Avenue de la Bataille Flandres-Dunkerque, 35000, Rennes, France
251 Department of Nuclear Medicine, Centre Hospitalier Universitaire, Brest, France
252 EA 3878, Brest, France
253 EA 4712, Rennes, France
254 University of Bretagne Occidentale, Brest, France
255 University of Rennes 1, Rennes, France
256 rdf:type schema:Organization
257 grid-institutes:grid.410368.8 schema:alternateName University of Rennes 1, Rennes, France
258 schema:name University of Rennes 1, Rennes, France
259 rdf:type schema:Organization
260 grid-institutes:grid.411766.3 schema:alternateName Department of Nuclear Medicine, Centre Hospitalier Universitaire, Brest, France
261 schema:name Department of Nuclear Medicine, Centre Hospitalier Universitaire, Brest, France
262 rdf:type schema:Organization
263 grid-institutes:grid.417988.b schema:alternateName Department of Nuclear Medicine, Centre Eugène Marquis, Avenue de la Bataille Flandres-Dunkerque, 35000, Rennes, France
264 schema:name Department of Nuclear Medicine, Centre Eugène Marquis, Avenue de la Bataille Flandres-Dunkerque, 35000, Rennes, France
265 rdf:type schema:Organization
266 grid-institutes:grid.7429.8 schema:alternateName UMR 1241 INSERM, Rennes, France
267 UMR1099 INSERM, Rennes, France
268 schema:name Department of Nuclear Medicine, Centre Eugène Marquis, Avenue de la Bataille Flandres-Dunkerque, 35000, Rennes, France
269 UMR 1241 INSERM, Rennes, France
270 UMR1099 INSERM, Rennes, France
271 University of Rennes 1, Rennes, France
272 rdf:type schema:Organization
 




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


...