Quantitative 18F-DOPA PET/CT in pheochromocytoma: the relationship between tumor secretion and its biochemical phenotype View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-02

AUTHORS

Vincent Amodru, Carole Guerin, Sarkis Delcourt, Pauline Romanet, Anderson Loundou, Bruna Viana, Thierry Brue, Frédéric Castinetti, Frédéric Sebag, Karel Pacak, David Taïeb

ABSTRACT

INTRODUCTION: 18F-FDOPA illustrates the properties of uptake and storage of catecholamines in pheochromocytomas (PHEOs). Until now, the relationship between 18F-FDOPA quantitative parameters and a PHEO secretory profile has not been specifically evaluated. MATERIALS AND METHODS: Fifty-six patients (56% females, median age: 47.5 yrs) with non-metastatic PHEO, evaluated by 18F-FDOPA PET/CT, were included in this retrospective study. Forty-five patients had negative genetic testing (80.4%); five patients (8.9%) had RET, two patients (3.6%) had SDHB, two had SDHD (3.6%), one patient (1.8%) had NF1, and one patient had a VHL (1.8%) mutation. Correlation between 18F-FDOPA metabolic parameters (tumor SUVmax, tumor SUVmean, tumor SUVmax/liver SUVmax, MTV 42%, total lesion uptake), urinary metanephrines (MNs), and plasma chromogranin A (CgA) were evaluated. RESULTS: All patients had positive 18F-FDOPA PET/CT. On univariate analysis, there was a strong correlation between all metabolic parameters and urinary MNs and plasma chromogranin A (CgA). The highest correlations were observed between total lesion (TL) uptake and the value of urinary MNs regardless of their nature (p = 8.10-15 and r = 0.80) and between MTV 42% and plasma CgA levels (p = 2.10-9, r = 0.74). On multivariate analysis, the correlation of uptake parameters and CgA levels did not persist further due to the relation of CgA and tumor diameter. A correlation between TL uptake and the normetanephrine/metanephrine ratio (NMN/MN) was also found, a finding that was in accordance with in vitro studies, which were found to have a higher catecholamine content in epinephrine producing PHEOs. CONCLUSION: This retrospective study shows a correlation between 18F-FDOPA uptake, especially using TL uptake, urinary MNs, and a PHEO biochemical phenotype. This illustrates that beyond its localization value, 18F-FDOPA PET further enables PHEO characterization at a specific metabolic level. More... »

PAGES

278-282

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00259-017-3833-y

DOI

http://dx.doi.org/10.1007/s00259-017-3833-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091817197

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28918451


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": "Adrenal Gland Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biological Transport", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Dihydroxyphenylalanine", 
        "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": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Phenotype", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pheochromocytoma", 
        "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": "Retrospective Studies", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Department of Endocrinology, Conception University Hospital, Aix-Marseille University, Marseille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Amodru", 
        "givenName": "Vincent", 
        "id": "sg:person.015275712663.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015275712663.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Endocrine Surgery, Conception University Hospital, Aix-Marseille University, Marseille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guerin", 
        "givenName": "Carole", 
        "id": "sg:person.01072236704.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072236704.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Nuclear Medicine, La Timone University Hospital, European Center for Research in Medical Imaging, Aix-Marseille University, 264, rue Saint-Pierre, 13385, Marseille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Delcourt", 
        "givenName": "Sarkis", 
        "id": "sg:person.016670653663.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016670653663.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Aix-Marseille University", 
          "id": "https://www.grid.ac/institutes/grid.5399.6", 
          "name": [
            "Laboratory of Molecular Biology, Conception Hospital & CNRS, CRN2M UMR 7286, Aix-Marseille University, Marseille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Romanet", 
        "givenName": "Pauline", 
        "id": "sg:person.011323026621.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011323026621.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Aix-Marseille University", 
          "id": "https://www.grid.ac/institutes/grid.5399.6", 
          "name": [
            "Department of Public Health, EA3279 Self-perceived Health Assessment Research Unit, La Timone University, Aix-Marseille University, Marseille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Loundou", 
        "givenName": "Anderson", 
        "id": "sg:person.0745424241.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0745424241.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Child Health and Human Development", 
          "id": "https://www.grid.ac/institutes/grid.420089.7", 
          "name": [
            "Section on Medical Neuroendocrinology, Eunice Kennedy Shriver National Institute of Child Health & Human Development, National Institutes of Health, Bethesda, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Viana", 
        "givenName": "Bruna", 
        "id": "sg:person.010767024163.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010767024163.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Endocrinology, Conception University Hospital, Aix-Marseille University, Marseille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brue", 
        "givenName": "Thierry", 
        "id": "sg:person.0770445741.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0770445741.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Endocrinology, Conception University Hospital, Aix-Marseille University, Marseille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Castinetti", 
        "givenName": "Fr\u00e9d\u00e9ric", 
        "id": "sg:person.01046211643.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046211643.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Endocrine Surgery, Conception University Hospital, Aix-Marseille University, Marseille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sebag", 
        "givenName": "Fr\u00e9d\u00e9ric", 
        "id": "sg:person.01122766065.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01122766065.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Child Health and Human Development", 
          "id": "https://www.grid.ac/institutes/grid.420089.7", 
          "name": [
            "Section on Medical Neuroendocrinology, Eunice Kennedy Shriver National Institute of Child Health & Human Development, National Institutes of Health, Bethesda, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pacak", 
        "givenName": "Karel", 
        "id": "sg:person.01361537064.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361537064.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Nuclear Medicine, La Timone University Hospital, European Center for Research in Medical Imaging, Aix-Marseille University, 264, rue Saint-Pierre, 13385, Marseille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ta\u00efeb", 
        "givenName": "David", 
        "id": "sg:person.0712575061.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712575061.71"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0014-2999(96)00103-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014306238"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-011-1862-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019334884", 
          "https://doi.org/10.1007/s00259-011-1862-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0156044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024394513"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1373/clinchem.2010.153320", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028865333"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2265.2009.03648.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041437721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2265.2009.03648.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041437721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-012-2087-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046361322", 
          "https://doi.org/10.1007/s00259-012-2087-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-012-2087-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046361322", 
          "https://doi.org/10.1007/s00259-012-2087-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/ajpendo.90591.2008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047647373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1677/erc-10-0211", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052534370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-2008-1073156", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057563740"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2009-1248", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064291513"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-02", 
    "datePublishedReg": "2018-02-01", 
    "description": "INTRODUCTION: 18F-FDOPA illustrates the properties of uptake and storage of catecholamines in pheochromocytomas (PHEOs). Until now, the relationship between 18F-FDOPA quantitative parameters and a PHEO secretory profile has not been specifically evaluated.\nMATERIALS AND METHODS: Fifty-six patients (56% females, median age: 47.5\u00a0yrs) with non-metastatic PHEO, evaluated by 18F-FDOPA PET/CT, were included in this retrospective study. Forty-five patients had negative genetic testing (80.4%); five patients (8.9%) had RET, two patients (3.6%) had SDHB, two had SDHD (3.6%), one patient (1.8%) had NF1, and one patient had a VHL (1.8%) mutation. Correlation between 18F-FDOPA metabolic parameters (tumor SUVmax, tumor SUVmean, tumor SUVmax/liver SUVmax, MTV 42%, total lesion uptake), urinary metanephrines (MNs), and plasma chromogranin A (CgA) were evaluated.\nRESULTS: All patients had positive 18F-FDOPA PET/CT. On univariate analysis, there was a strong correlation between all metabolic parameters and urinary MNs and plasma chromogranin A (CgA). The highest correlations were observed between total lesion (TL) uptake and the value of urinary MNs regardless of their nature (p\u00a0=\u00a08.10-15 and r\u00a0=\u00a00.80) and between MTV 42% and plasma CgA levels (p\u00a0=\u00a02.10-9, r\u00a0=\u00a00.74). On multivariate analysis, the correlation of uptake parameters and CgA levels did not persist further due to the relation of CgA and tumor diameter. A correlation between TL uptake and the normetanephrine/metanephrine ratio (NMN/MN) was also found, a finding that was in accordance with in vitro studies, which were found to have a higher catecholamine content in epinephrine producing PHEOs.\nCONCLUSION: This retrospective study shows a correlation between 18F-FDOPA uptake, especially using TL uptake, urinary MNs, and a PHEO biochemical phenotype. This illustrates that beyond its localization value, 18F-FDOPA PET further enables PHEO characterization at a specific metabolic level.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00259-017-3833-y", 
    "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": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "45"
      }
    ], 
    "name": "Quantitative 18F-DOPA PET/CT in pheochromocytoma: the relationship between tumor secretion and its biochemical phenotype", 
    "pagination": "278-282", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "12e6bf73de11f882e0add732c18ff8251b7bfdc471db01fe6108b011912bff88"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28918451"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101140988"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00259-017-3833-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1091817197"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00259-017-3833-y", 
      "https://app.dimensions.ai/details/publication/pub.1091817197"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:16", 
    "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_8660_00000548.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00259-017-3833-y"
  }
]
 

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/s00259-017-3833-y'

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/s00259-017-3833-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00259-017-3833-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00259-017-3833-y'


 

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

233 TRIPLES      21 PREDICATES      50 URIs      32 LITERALS      20 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00259-017-3833-y schema:about N30bb9d9dc44b464fbbbf57be7c38c38f
2 N7587f9d467994e7584c7b121184b6044
3 N77e9e877fc10412f84c67861ef2a335a
4 N7a206bb7de2c48ac8bc3c2362ba54207
5 N7e20ec13bed14d64be3650a18cb023e9
6 N97991da714c74bb5bfd4ee71426af942
7 Na15c4e84e102471c8d61ef00480400c9
8 Nadacd7bcd29d413a85ab933fcc53c506
9 Ncf7dd03e20564e30bd1e89fe8d6498f2
10 Ne339edea88604959a8f7001730a2b7aa
11 Ne9e5a1881bea4e60acdd5a55aafc859f
12 anzsrc-for:11
13 anzsrc-for:1103
14 schema:author N0076d892f06f486e9f6af5657a5463ad
15 schema:citation sg:pub.10.1007/s00259-011-1862-5
16 sg:pub.10.1007/s00259-012-2087-y
17 https://doi.org/10.1016/0014-2999(96)00103-3
18 https://doi.org/10.1055/s-2008-1073156
19 https://doi.org/10.1111/j.1365-2265.2009.03648.x
20 https://doi.org/10.1152/ajpendo.90591.2008
21 https://doi.org/10.1210/jc.2009-1248
22 https://doi.org/10.1371/journal.pone.0156044
23 https://doi.org/10.1373/clinchem.2010.153320
24 https://doi.org/10.1677/erc-10-0211
25 schema:datePublished 2018-02
26 schema:datePublishedReg 2018-02-01
27 schema:description INTRODUCTION: 18F-FDOPA illustrates the properties of uptake and storage of catecholamines in pheochromocytomas (PHEOs). Until now, the relationship between 18F-FDOPA quantitative parameters and a PHEO secretory profile has not been specifically evaluated. MATERIALS AND METHODS: Fifty-six patients (56% females, median age: 47.5 yrs) with non-metastatic PHEO, evaluated by 18F-FDOPA PET/CT, were included in this retrospective study. Forty-five patients had negative genetic testing (80.4%); five patients (8.9%) had RET, two patients (3.6%) had SDHB, two had SDHD (3.6%), one patient (1.8%) had NF1, and one patient had a VHL (1.8%) mutation. Correlation between 18F-FDOPA metabolic parameters (tumor SUVmax, tumor SUVmean, tumor SUVmax/liver SUVmax, MTV 42%, total lesion uptake), urinary metanephrines (MNs), and plasma chromogranin A (CgA) were evaluated. RESULTS: All patients had positive 18F-FDOPA PET/CT. On univariate analysis, there was a strong correlation between all metabolic parameters and urinary MNs and plasma chromogranin A (CgA). The highest correlations were observed between total lesion (TL) uptake and the value of urinary MNs regardless of their nature (p = 8.10-15 and r = 0.80) and between MTV 42% and plasma CgA levels (p = 2.10-9, r = 0.74). On multivariate analysis, the correlation of uptake parameters and CgA levels did not persist further due to the relation of CgA and tumor diameter. A correlation between TL uptake and the normetanephrine/metanephrine ratio (NMN/MN) was also found, a finding that was in accordance with in vitro studies, which were found to have a higher catecholamine content in epinephrine producing PHEOs. CONCLUSION: This retrospective study shows a correlation between 18F-FDOPA uptake, especially using TL uptake, urinary MNs, and a PHEO biochemical phenotype. This illustrates that beyond its localization value, 18F-FDOPA PET further enables PHEO characterization at a specific metabolic level.
28 schema:genre research_article
29 schema:inLanguage en
30 schema:isAccessibleForFree false
31 schema:isPartOf N9ccf3a92775e4396a6f2176aaf4768a9
32 Naaa1a1efa56a4fa182478b43270b01a9
33 sg:journal.1297401
34 schema:name Quantitative 18F-DOPA PET/CT in pheochromocytoma: the relationship between tumor secretion and its biochemical phenotype
35 schema:pagination 278-282
36 schema:productId N0f42600b70fb4c97959b3728d3da4ba1
37 N1bbce9377d8e4f6db042f9497092b4df
38 N2ea8f6943a5a49e2ac6b59e3eb1f80ce
39 N8f55d0d5788142cbaee814c0c585ffee
40 Nefbb1a619bf848d09590225341c3565a
41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091817197
42 https://doi.org/10.1007/s00259-017-3833-y
43 schema:sdDatePublished 2019-04-10T14:16
44 schema:sdLicense https://scigraph.springernature.com/explorer/license/
45 schema:sdPublisher Ne1aa8b9052c9409f958fc82d0ece0d9e
46 schema:url http://link.springer.com/10.1007%2Fs00259-017-3833-y
47 sgo:license sg:explorer/license/
48 sgo:sdDataset articles
49 rdf:type schema:ScholarlyArticle
50 N0076d892f06f486e9f6af5657a5463ad rdf:first sg:person.015275712663.80
51 rdf:rest Nca2f4a74b00f47f793c320a3156ed807
52 N0a8a6540fa844dfebb0a0516cf9e0a93 rdf:first sg:person.0770445741.31
53 rdf:rest Ncb9e7defa21b425eb2caff018a9e8f4b
54 N0f2c463bea5148c585692a53b7ec2d72 rdf:first sg:person.01122766065.22
55 rdf:rest Ne721481107e74ef1a0afd70a477f24e0
56 N0f42600b70fb4c97959b3728d3da4ba1 schema:name doi
57 schema:value 10.1007/s00259-017-3833-y
58 rdf:type schema:PropertyValue
59 N1a414f73de7b442b895d3515439b537f rdf:first sg:person.0712575061.71
60 rdf:rest rdf:nil
61 N1bbce9377d8e4f6db042f9497092b4df schema:name dimensions_id
62 schema:value pub.1091817197
63 rdf:type schema:PropertyValue
64 N2ea8f6943a5a49e2ac6b59e3eb1f80ce schema:name nlm_unique_id
65 schema:value 101140988
66 rdf:type schema:PropertyValue
67 N30bb9d9dc44b464fbbbf57be7c38c38f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
68 schema:name Pheochromocytoma
69 rdf:type schema:DefinedTerm
70 N6526d661011d42d882c4a5883116737b rdf:first sg:person.016670653663.24
71 rdf:rest Nfb7784825cf442c3b29580798cb1cf54
72 N7587f9d467994e7584c7b121184b6044 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Middle Aged
74 rdf:type schema:DefinedTerm
75 N77e9e877fc10412f84c67861ef2a335a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Humans
77 rdf:type schema:DefinedTerm
78 N781f9eab45cf469e8c646ea3a4ee4ee4 rdf:first sg:person.0745424241.28
79 rdf:rest Nd9b46168a59642f0a382dffdfe12f995
80 N7a206bb7de2c48ac8bc3c2362ba54207 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Adrenal Gland Neoplasms
82 rdf:type schema:DefinedTerm
83 N7e20ec13bed14d64be3650a18cb023e9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Retrospective Studies
85 rdf:type schema:DefinedTerm
86 N851eb8827dd94a1791181d65ed2d8d31 schema:name Department of Nuclear Medicine, La Timone University Hospital, European Center for Research in Medical Imaging, Aix-Marseille University, 264, rue Saint-Pierre, 13385, Marseille, France
87 rdf:type schema:Organization
88 N8a6353381d2944e2ac5e08039b5269d3 schema:name Department of Endocrinology, Conception University Hospital, Aix-Marseille University, Marseille, France
89 rdf:type schema:Organization
90 N8c60356c41b040ffb39a2f00cec122c1 schema:name Department of Endocrinology, Conception University Hospital, Aix-Marseille University, Marseille, France
91 rdf:type schema:Organization
92 N8f55d0d5788142cbaee814c0c585ffee schema:name pubmed_id
93 schema:value 28918451
94 rdf:type schema:PropertyValue
95 N97991da714c74bb5bfd4ee71426af942 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Female
97 rdf:type schema:DefinedTerm
98 N9ccf3a92775e4396a6f2176aaf4768a9 schema:issueNumber 2
99 rdf:type schema:PublicationIssue
100 Na15c4e84e102471c8d61ef00480400c9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Male
102 rdf:type schema:DefinedTerm
103 Na29da59ccfbe4a09967e6533e7ef281f schema:name Department of Endocrine Surgery, Conception University Hospital, Aix-Marseille University, Marseille, France
104 rdf:type schema:Organization
105 Naaa1a1efa56a4fa182478b43270b01a9 schema:volumeNumber 45
106 rdf:type schema:PublicationVolume
107 Nadacd7bcd29d413a85ab933fcc53c506 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Dihydroxyphenylalanine
109 rdf:type schema:DefinedTerm
110 Nb537f7659f1a4397a13ced5002315e73 schema:name Department of Endocrinology, Conception University Hospital, Aix-Marseille University, Marseille, France
111 rdf:type schema:Organization
112 Nc21b86d3fcfc4fca97770234b88985cd schema:name Department of Endocrine Surgery, Conception University Hospital, Aix-Marseille University, Marseille, France
113 rdf:type schema:Organization
114 Nca2f4a74b00f47f793c320a3156ed807 rdf:first sg:person.01072236704.65
115 rdf:rest N6526d661011d42d882c4a5883116737b
116 Ncb9e7defa21b425eb2caff018a9e8f4b rdf:first sg:person.01046211643.17
117 rdf:rest N0f2c463bea5148c585692a53b7ec2d72
118 Ncd5f816573b24d218694cefabaf8666f schema:name Department of Nuclear Medicine, La Timone University Hospital, European Center for Research in Medical Imaging, Aix-Marseille University, 264, rue Saint-Pierre, 13385, Marseille, France
119 rdf:type schema:Organization
120 Ncf7dd03e20564e30bd1e89fe8d6498f2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Positron Emission Tomography Computed Tomography
122 rdf:type schema:DefinedTerm
123 Nd9b46168a59642f0a382dffdfe12f995 rdf:first sg:person.010767024163.70
124 rdf:rest N0a8a6540fa844dfebb0a0516cf9e0a93
125 Ne1aa8b9052c9409f958fc82d0ece0d9e schema:name Springer Nature - SN SciGraph project
126 rdf:type schema:Organization
127 Ne339edea88604959a8f7001730a2b7aa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Biological Transport
129 rdf:type schema:DefinedTerm
130 Ne721481107e74ef1a0afd70a477f24e0 rdf:first sg:person.01361537064.28
131 rdf:rest N1a414f73de7b442b895d3515439b537f
132 Ne9e5a1881bea4e60acdd5a55aafc859f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Phenotype
134 rdf:type schema:DefinedTerm
135 Nefbb1a619bf848d09590225341c3565a schema:name readcube_id
136 schema:value 12e6bf73de11f882e0add732c18ff8251b7bfdc471db01fe6108b011912bff88
137 rdf:type schema:PropertyValue
138 Nfb7784825cf442c3b29580798cb1cf54 rdf:first sg:person.011323026621.25
139 rdf:rest N781f9eab45cf469e8c646ea3a4ee4ee4
140 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
141 schema:name Medical and Health Sciences
142 rdf:type schema:DefinedTerm
143 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
144 schema:name Clinical Sciences
145 rdf:type schema:DefinedTerm
146 sg:journal.1297401 schema:issn 1619-7070
147 1619-7089
148 schema:name European Journal of Nuclear Medicine and Molecular Imaging
149 rdf:type schema:Periodical
150 sg:person.01046211643.17 schema:affiliation Nb537f7659f1a4397a13ced5002315e73
151 schema:familyName Castinetti
152 schema:givenName Frédéric
153 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046211643.17
154 rdf:type schema:Person
155 sg:person.01072236704.65 schema:affiliation Na29da59ccfbe4a09967e6533e7ef281f
156 schema:familyName Guerin
157 schema:givenName Carole
158 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072236704.65
159 rdf:type schema:Person
160 sg:person.010767024163.70 schema:affiliation https://www.grid.ac/institutes/grid.420089.7
161 schema:familyName Viana
162 schema:givenName Bruna
163 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010767024163.70
164 rdf:type schema:Person
165 sg:person.01122766065.22 schema:affiliation Nc21b86d3fcfc4fca97770234b88985cd
166 schema:familyName Sebag
167 schema:givenName Frédéric
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01122766065.22
169 rdf:type schema:Person
170 sg:person.011323026621.25 schema:affiliation https://www.grid.ac/institutes/grid.5399.6
171 schema:familyName Romanet
172 schema:givenName Pauline
173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011323026621.25
174 rdf:type schema:Person
175 sg:person.01361537064.28 schema:affiliation https://www.grid.ac/institutes/grid.420089.7
176 schema:familyName Pacak
177 schema:givenName Karel
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361537064.28
179 rdf:type schema:Person
180 sg:person.015275712663.80 schema:affiliation N8a6353381d2944e2ac5e08039b5269d3
181 schema:familyName Amodru
182 schema:givenName Vincent
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015275712663.80
184 rdf:type schema:Person
185 sg:person.016670653663.24 schema:affiliation Ncd5f816573b24d218694cefabaf8666f
186 schema:familyName Delcourt
187 schema:givenName Sarkis
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016670653663.24
189 rdf:type schema:Person
190 sg:person.0712575061.71 schema:affiliation N851eb8827dd94a1791181d65ed2d8d31
191 schema:familyName Taïeb
192 schema:givenName David
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712575061.71
194 rdf:type schema:Person
195 sg:person.0745424241.28 schema:affiliation https://www.grid.ac/institutes/grid.5399.6
196 schema:familyName Loundou
197 schema:givenName Anderson
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0745424241.28
199 rdf:type schema:Person
200 sg:person.0770445741.31 schema:affiliation N8c60356c41b040ffb39a2f00cec122c1
201 schema:familyName Brue
202 schema:givenName Thierry
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0770445741.31
204 rdf:type schema:Person
205 sg:pub.10.1007/s00259-011-1862-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019334884
206 https://doi.org/10.1007/s00259-011-1862-5
207 rdf:type schema:CreativeWork
208 sg:pub.10.1007/s00259-012-2087-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1046361322
209 https://doi.org/10.1007/s00259-012-2087-y
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1016/0014-2999(96)00103-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014306238
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1055/s-2008-1073156 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057563740
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1111/j.1365-2265.2009.03648.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1041437721
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1152/ajpendo.90591.2008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047647373
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1210/jc.2009-1248 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064291513
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1371/journal.pone.0156044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024394513
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1373/clinchem.2010.153320 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028865333
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1677/erc-10-0211 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052534370
226 rdf:type schema:CreativeWork
227 https://www.grid.ac/institutes/grid.420089.7 schema:alternateName National Institute of Child Health and Human Development
228 schema:name Section on Medical Neuroendocrinology, Eunice Kennedy Shriver National Institute of Child Health & Human Development, National Institutes of Health, Bethesda, MD, USA
229 rdf:type schema:Organization
230 https://www.grid.ac/institutes/grid.5399.6 schema:alternateName Aix-Marseille University
231 schema:name Department of Public Health, EA3279 Self-perceived Health Assessment Research Unit, La Timone University, Aix-Marseille University, Marseille, France
232 Laboratory of Molecular Biology, Conception Hospital & CNRS, CRN2M UMR 7286, Aix-Marseille University, Marseille, France
233 rdf:type schema:Organization
 




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


...