Optimised tracer-dependent dosage cards to obtain weight-independent effective doses View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2005-04

AUTHORS

F. Jacobs, H. Thierens, A. Piepsz, K. Bacher, C. Van de Wiele, H. Ham, R.A. Dierckx

ABSTRACT

PURPOSE: The aim of this study was twofold: firstly, to determine whether the European Association of Nuclear Medicine (EANM) dosage card results in weight-independent effective doses or weight-independent count rates; secondly, to determine whether one dosage card is sufficient for 95 different radiopharmaceuticals, and, if not, how many cards we reasonably need to take into account inter-tracer variability. METHODS: Normalisation factors for count rate and effective dose were calculated as a function of body weight, with 70 kg as standard. Calculations were performed, using whole-body absorption fractions and MIRDOSE 3 software, for seven anthropomorphic phantoms and ten radionuclides. An analytic function for both relations was proposed. Normalisation factors for effective dose for 95 radiopharmaceuticals were investigated using cluster analysis. RESULTS: Normalisation factors for count rate and effective dose can be estimated accurately as a function of body weight W by (W/70)a holding only one parameter, called the a value. The a values for 95 radiopharmaceuticals were classified into three clusters (nA=7, nB=76, nC=12). Cluster A contains tracers for renal studies. Cluster B contains all remaining tracers, except iodine-labelled tracers for thyroid studies and 89Sr for therapy, which belong to cluster C. CONCLUSION: Correction factors proposed by the EANM task group mainly correct for effective dose. They are very similar to the factors obtained for cluster A. Using the EANM factors for tracers belonging to clusters B and C results in significantly higher effective doses to children. We suggest using three tracer-dependent dosage cards for which the correction factors have been calculated to obtain weight-independent effective doses. More... »

PAGES

581-588

References to SciGraph publications

  • 1990-03. A radiopharmaceuticals schedule for imaging in paediatrics in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00259-004-1708-5

    DOI

    http://dx.doi.org/10.1007/s00259-004-1708-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1019421622

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/15619101


    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/2008/1103", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Clinical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Adult", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Body Burden", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Body Weight", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Child", 
            "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": "Phantoms, Imaging", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Positron-Emission Tomography", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Practice Guidelines as Topic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Radiation Dosage", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Radioisotopes", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Ghent University Hospital", 
              "id": "https://www.grid.ac/institutes/grid.410566.0", 
              "name": [
                "Department of Nuclear Medicine, Ghent University Hospital, De Pintelaan 185, 9000, Gent, Belgium"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jacobs", 
            "givenName": "F.", 
            "id": "sg:person.0761646066.82", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761646066.82"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Ghent University", 
              "id": "https://www.grid.ac/institutes/grid.5342.0", 
              "name": [
                "Department of Medical Physics, Ghent University, Gent, Belgium"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Thierens", 
            "givenName": "H.", 
            "id": "sg:person.01146245550.06", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01146245550.06"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Centre Hospitalier Universitaire de Saint-Pierre", 
              "id": "https://www.grid.ac/institutes/grid.50545.31", 
              "name": [
                "CHU St Pierre, Department of Nuclear Medicine, Brussels, Belgium"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Piepsz", 
            "givenName": "A.", 
            "id": "sg:person.0113733031.79", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0113733031.79"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Ghent University", 
              "id": "https://www.grid.ac/institutes/grid.5342.0", 
              "name": [
                "Department of Medical Physics, Ghent University, Gent, Belgium"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bacher", 
            "givenName": "K.", 
            "id": "sg:person.01035437166.67", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035437166.67"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Ghent University Hospital", 
              "id": "https://www.grid.ac/institutes/grid.410566.0", 
              "name": [
                "Department of Nuclear Medicine, Ghent University Hospital, De Pintelaan 185, 9000, Gent, Belgium"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wiele", 
            "givenName": "C. Van de", 
            "id": "sg:person.01160733416.63", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01160733416.63"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Ghent University Hospital", 
              "id": "https://www.grid.ac/institutes/grid.410566.0", 
              "name": [
                "Department of Nuclear Medicine, Ghent University Hospital, De Pintelaan 185, 9000, Gent, Belgium"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ham", 
            "givenName": "H.", 
            "id": "sg:person.010707077742.95", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010707077742.95"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Ghent University Hospital", 
              "id": "https://www.grid.ac/institutes/grid.410566.0", 
              "name": [
                "Department of Nuclear Medicine, Ghent University Hospital, De Pintelaan 185, 9000, Gent, Belgium"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dierckx", 
            "givenName": "R.A.", 
            "id": "sg:person.013354746402.21", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013354746402.21"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/bf00811439", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040998606", 
              "https://doi.org/10.1007/bf00811439"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00811439", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040998606", 
              "https://doi.org/10.1007/bf00811439"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1081894299", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082949122", 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2005-04", 
        "datePublishedReg": "2005-04-01", 
        "description": "PURPOSE: The aim of this study was twofold: firstly, to determine whether the European Association of Nuclear Medicine (EANM) dosage card results in weight-independent effective doses or weight-independent count rates; secondly, to determine whether one dosage card is sufficient for 95 different radiopharmaceuticals, and, if not, how many cards we reasonably need to take into account inter-tracer variability.\nMETHODS: Normalisation factors for count rate and effective dose were calculated as a function of body weight, with 70 kg as standard. Calculations were performed, using whole-body absorption fractions and MIRDOSE 3 software, for seven anthropomorphic phantoms and ten radionuclides. An analytic function for both relations was proposed. Normalisation factors for effective dose for 95 radiopharmaceuticals were investigated using cluster analysis.\nRESULTS: Normalisation factors for count rate and effective dose can be estimated accurately as a function of body weight W by (W/70)a holding only one parameter, called the a value. The a values for 95 radiopharmaceuticals were classified into three clusters (nA=7, nB=76, nC=12). Cluster A contains tracers for renal studies. Cluster B contains all remaining tracers, except iodine-labelled tracers for thyroid studies and 89Sr for therapy, which belong to cluster C.\nCONCLUSION: Correction factors proposed by the EANM task group mainly correct for effective dose. They are very similar to the factors obtained for cluster A. Using the EANM factors for tracers belonging to clusters B and C results in significantly higher effective doses to children. We suggest using three tracer-dependent dosage cards for which the correction factors have been calculated to obtain weight-independent effective doses.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00259-004-1708-5", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1297401", 
            "issn": [
              "1619-7070", 
              "1619-7089"
            ], 
            "name": "European Journal of Nuclear Medicine and Molecular Imaging", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "5", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "32"
          }
        ], 
        "name": "Optimised tracer-dependent dosage cards to obtain weight-independent effective doses", 
        "pagination": "581-588", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "5c899a839a4419f33daca917dc15ccef6c3012e15868e48b59417365ed5562ea"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "15619101"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101140988"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00259-004-1708-5"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1019421622"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00259-004-1708-5", 
          "https://app.dimensions.ai/details/publication/pub.1019421622"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T00:16", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8695_00000512.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs00259-004-1708-5"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00259-004-1708-5'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00259-004-1708-5'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00259-004-1708-5'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00259-004-1708-5'


     

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

    169 TRIPLES      21 PREDICATES      43 URIs      32 LITERALS      20 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00259-004-1708-5 schema:about N0a6cf51bbda74231a8f6a21eebd0a29e
    2 N1e4000d209fc43a4a0bbc59532515a6c
    3 N2764be2e011e4f4792edbbf3201fe249
    4 N2c740e3aa7114edfba461ccc62ddaede
    5 N429ddab1aea94fe890504d3977c488ea
    6 N69977cf1f11a44edaae7183722435e55
    7 N7b1c2d2c50434499897d93507935371d
    8 N81e7900c40234b50ba0e8ac8fb707c2a
    9 N8b9b4f4feffe4a46a44ef498cf436307
    10 N8e37d7e37ce542f992f5bec8a9ecd4e5
    11 Nb690ce1014254313a88f887d2b5ad291
    12 anzsrc-for:11
    13 anzsrc-for:1103
    14 schema:author Nfa85b574909749d989d7c17515a66b60
    15 schema:citation sg:pub.10.1007/bf00811439
    16 https://app.dimensions.ai/details/publication/pub.1081894299
    17 https://app.dimensions.ai/details/publication/pub.1082949122
    18 schema:datePublished 2005-04
    19 schema:datePublishedReg 2005-04-01
    20 schema:description PURPOSE: The aim of this study was twofold: firstly, to determine whether the European Association of Nuclear Medicine (EANM) dosage card results in weight-independent effective doses or weight-independent count rates; secondly, to determine whether one dosage card is sufficient for 95 different radiopharmaceuticals, and, if not, how many cards we reasonably need to take into account inter-tracer variability. METHODS: Normalisation factors for count rate and effective dose were calculated as a function of body weight, with 70 kg as standard. Calculations were performed, using whole-body absorption fractions and MIRDOSE 3 software, for seven anthropomorphic phantoms and ten radionuclides. An analytic function for both relations was proposed. Normalisation factors for effective dose for 95 radiopharmaceuticals were investigated using cluster analysis. RESULTS: Normalisation factors for count rate and effective dose can be estimated accurately as a function of body weight W by (W/70)a holding only one parameter, called the a value. The a values for 95 radiopharmaceuticals were classified into three clusters (nA=7, nB=76, nC=12). Cluster A contains tracers for renal studies. Cluster B contains all remaining tracers, except iodine-labelled tracers for thyroid studies and 89Sr for therapy, which belong to cluster C. CONCLUSION: Correction factors proposed by the EANM task group mainly correct for effective dose. They are very similar to the factors obtained for cluster A. Using the EANM factors for tracers belonging to clusters B and C results in significantly higher effective doses to children. We suggest using three tracer-dependent dosage cards for which the correction factors have been calculated to obtain weight-independent effective doses.
    21 schema:genre research_article
    22 schema:inLanguage en
    23 schema:isAccessibleForFree false
    24 schema:isPartOf N9bd8074d5b0c40eab6cf382cc0f9c6f7
    25 Nd7136e0adac04bda8b74ecbdf7647af3
    26 sg:journal.1297401
    27 schema:name Optimised tracer-dependent dosage cards to obtain weight-independent effective doses
    28 schema:pagination 581-588
    29 schema:productId N2518f04e258f4d3d85b85202aabbc43f
    30 N45f3196441e54a84b43b9d7e889cf553
    31 N513cdc2ccfe643ce85eda1bfda5bc0ff
    32 N60c61b8c03c443a099499da4b5882c19
    33 N67dc0fc80fa94ae58abe61a14a034d4f
    34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019421622
    35 https://doi.org/10.1007/s00259-004-1708-5
    36 schema:sdDatePublished 2019-04-11T00:16
    37 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    38 schema:sdPublisher N8938e6f38d44473aa5fc3f518e6ea242
    39 schema:url http://link.springer.com/10.1007%2Fs00259-004-1708-5
    40 sgo:license sg:explorer/license/
    41 sgo:sdDataset articles
    42 rdf:type schema:ScholarlyArticle
    43 N028141ec408b4d3c91ffb9e961e0f640 rdf:first sg:person.01160733416.63
    44 rdf:rest Nd280d56f24864184890ac58c26402534
    45 N0a6cf51bbda74231a8f6a21eebd0a29e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    46 schema:name Body Burden
    47 rdf:type schema:DefinedTerm
    48 N1e4000d209fc43a4a0bbc59532515a6c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    49 schema:name Child
    50 rdf:type schema:DefinedTerm
    51 N2518f04e258f4d3d85b85202aabbc43f schema:name dimensions_id
    52 schema:value pub.1019421622
    53 rdf:type schema:PropertyValue
    54 N2764be2e011e4f4792edbbf3201fe249 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    55 schema:name Radioisotopes
    56 rdf:type schema:DefinedTerm
    57 N2c740e3aa7114edfba461ccc62ddaede schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    58 schema:name Body Weight
    59 rdf:type schema:DefinedTerm
    60 N429ddab1aea94fe890504d3977c488ea schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    61 schema:name Humans
    62 rdf:type schema:DefinedTerm
    63 N45f3196441e54a84b43b9d7e889cf553 schema:name nlm_unique_id
    64 schema:value 101140988
    65 rdf:type schema:PropertyValue
    66 N513cdc2ccfe643ce85eda1bfda5bc0ff schema:name readcube_id
    67 schema:value 5c899a839a4419f33daca917dc15ccef6c3012e15868e48b59417365ed5562ea
    68 rdf:type schema:PropertyValue
    69 N60c61b8c03c443a099499da4b5882c19 schema:name doi
    70 schema:value 10.1007/s00259-004-1708-5
    71 rdf:type schema:PropertyValue
    72 N67dc0fc80fa94ae58abe61a14a034d4f schema:name pubmed_id
    73 schema:value 15619101
    74 rdf:type schema:PropertyValue
    75 N69977cf1f11a44edaae7183722435e55 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    76 schema:name Image Interpretation, Computer-Assisted
    77 rdf:type schema:DefinedTerm
    78 N7b1c2d2c50434499897d93507935371d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    79 schema:name Radiation Dosage
    80 rdf:type schema:DefinedTerm
    81 N81e7900c40234b50ba0e8ac8fb707c2a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    82 schema:name Positron-Emission Tomography
    83 rdf:type schema:DefinedTerm
    84 N878d4ecb1e6f46879dea7fa936f945df rdf:first sg:person.01035437166.67
    85 rdf:rest N028141ec408b4d3c91ffb9e961e0f640
    86 N8938e6f38d44473aa5fc3f518e6ea242 schema:name Springer Nature - SN SciGraph project
    87 rdf:type schema:Organization
    88 N8b9b4f4feffe4a46a44ef498cf436307 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    89 schema:name Phantoms, Imaging
    90 rdf:type schema:DefinedTerm
    91 N8e37d7e37ce542f992f5bec8a9ecd4e5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    92 schema:name Adult
    93 rdf:type schema:DefinedTerm
    94 N947987ee8e0b4f4ab8d4620cf41d3343 rdf:first sg:person.01146245550.06
    95 rdf:rest Nfd6dd2cf91924fc880361cb59a7ad2be
    96 N9bd8074d5b0c40eab6cf382cc0f9c6f7 schema:volumeNumber 32
    97 rdf:type schema:PublicationVolume
    98 Nb690ce1014254313a88f887d2b5ad291 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    99 schema:name Practice Guidelines as Topic
    100 rdf:type schema:DefinedTerm
    101 Nd280d56f24864184890ac58c26402534 rdf:first sg:person.010707077742.95
    102 rdf:rest Nda8e391ae6694b14b6a42f506a7880b4
    103 Nd7136e0adac04bda8b74ecbdf7647af3 schema:issueNumber 5
    104 rdf:type schema:PublicationIssue
    105 Nda8e391ae6694b14b6a42f506a7880b4 rdf:first sg:person.013354746402.21
    106 rdf:rest rdf:nil
    107 Nfa85b574909749d989d7c17515a66b60 rdf:first sg:person.0761646066.82
    108 rdf:rest N947987ee8e0b4f4ab8d4620cf41d3343
    109 Nfd6dd2cf91924fc880361cb59a7ad2be rdf:first sg:person.0113733031.79
    110 rdf:rest N878d4ecb1e6f46879dea7fa936f945df
    111 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    112 schema:name Medical and Health Sciences
    113 rdf:type schema:DefinedTerm
    114 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
    115 schema:name Clinical Sciences
    116 rdf:type schema:DefinedTerm
    117 sg:journal.1297401 schema:issn 1619-7070
    118 1619-7089
    119 schema:name European Journal of Nuclear Medicine and Molecular Imaging
    120 rdf:type schema:Periodical
    121 sg:person.01035437166.67 schema:affiliation https://www.grid.ac/institutes/grid.5342.0
    122 schema:familyName Bacher
    123 schema:givenName K.
    124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035437166.67
    125 rdf:type schema:Person
    126 sg:person.010707077742.95 schema:affiliation https://www.grid.ac/institutes/grid.410566.0
    127 schema:familyName Ham
    128 schema:givenName H.
    129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010707077742.95
    130 rdf:type schema:Person
    131 sg:person.0113733031.79 schema:affiliation https://www.grid.ac/institutes/grid.50545.31
    132 schema:familyName Piepsz
    133 schema:givenName A.
    134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0113733031.79
    135 rdf:type schema:Person
    136 sg:person.01146245550.06 schema:affiliation https://www.grid.ac/institutes/grid.5342.0
    137 schema:familyName Thierens
    138 schema:givenName H.
    139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01146245550.06
    140 rdf:type schema:Person
    141 sg:person.01160733416.63 schema:affiliation https://www.grid.ac/institutes/grid.410566.0
    142 schema:familyName Wiele
    143 schema:givenName C. Van de
    144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01160733416.63
    145 rdf:type schema:Person
    146 sg:person.013354746402.21 schema:affiliation https://www.grid.ac/institutes/grid.410566.0
    147 schema:familyName Dierckx
    148 schema:givenName R.A.
    149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013354746402.21
    150 rdf:type schema:Person
    151 sg:person.0761646066.82 schema:affiliation https://www.grid.ac/institutes/grid.410566.0
    152 schema:familyName Jacobs
    153 schema:givenName F.
    154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761646066.82
    155 rdf:type schema:Person
    156 sg:pub.10.1007/bf00811439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040998606
    157 https://doi.org/10.1007/bf00811439
    158 rdf:type schema:CreativeWork
    159 https://app.dimensions.ai/details/publication/pub.1081894299 schema:CreativeWork
    160 https://app.dimensions.ai/details/publication/pub.1082949122 schema:CreativeWork
    161 https://www.grid.ac/institutes/grid.410566.0 schema:alternateName Ghent University Hospital
    162 schema:name Department of Nuclear Medicine, Ghent University Hospital, De Pintelaan 185, 9000, Gent, Belgium
    163 rdf:type schema:Organization
    164 https://www.grid.ac/institutes/grid.50545.31 schema:alternateName Centre Hospitalier Universitaire de Saint-Pierre
    165 schema:name CHU St Pierre, Department of Nuclear Medicine, Brussels, Belgium
    166 rdf:type schema:Organization
    167 https://www.grid.ac/institutes/grid.5342.0 schema:alternateName Ghent University
    168 schema:name Department of Medical Physics, Ghent University, Gent, Belgium
    169 rdf:type schema:Organization
     




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


    ...