Sentinel lymph node excision with or without preoperative hybrid single-photon emission computed tomography/computed tomography (SPECT/CT) in melanoma: study protocol for ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Ingo Stoffels, Ken Herrmann, Jan Rekowski, Philipp Jansen, Dirk Schadendorf, Andreas Stang, Joachim Klode

ABSTRACT

BACKGROUND: Melanoma has become a growing interdisciplinary problem in public health worldwide. According to the World Health Organization, the incidence of melanoma is increasing faster than any other cancer in the world. Because melanoma metastasizes early into the regional lymph nodes, sentinel lymph node excision (SLNE) is included in the current American Joint Committee of Cancer guidelines. However SLNE of melanoma has a high false-negative rate of up to 44%. METHODS: The gold standard for detection and extirpation of the sentinel lymph node is preoperative lymphoscintigraphy. SPECT/CT provides complementary information: the advantages include accurate anatomical localization, identification of false positives, reduction in the number of false negatives, and alteration of the surgical approach. Therefore, sentinel lymph node-SPECT/CT provides valuable information before sentinel lymph node excision and advocates its use in melanoma. We present a multicenter, unblinded superiority randomized controlled trial to compare SPECT/CT-aided SLNE versus standard SLNE in melanoma patients. DISCUSSION: The primary efficacy endpoint is distant metastasis-free survival. Secondary endpoints comprise overall survival, disease-free survival, rate of local relapses within the follow-up period (false-negative rate of sentinel lymph node), number of positive sentinel lymph nodes (sensitivity, false-positive rate), complication rate, quality of life, quality-adjusted life years, inpatient days, and overall costs during hospital stays. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03683550 . Registered on 20 September 2018. More... »

PAGES

99

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13063-019-3197-7

DOI

http://dx.doi.org/10.1186/s13063-019-3197-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111907405

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30717811


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/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Essen University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.410718.b", 
          "name": [
            "Department of Dermatology, Venerology and Allergology, University-Hospital Essen, University of Duisburg-Essen, 45122, Essen, Germany", 
            "West German Cancer Center, University Duisburg-Essen, 45122, Essen, Germany", 
            "German Consortium for Translational Cancer Research, Partner Site University Hospital Essen, Essen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stoffels", 
        "givenName": "Ingo", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Essen University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.410718.b", 
          "name": [
            "Center of Clinical Epidemiology, Institute of Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, 45122, Essen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Herrmann", 
        "givenName": "Ken", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University Hospital Carl Gustav Carus", 
          "id": "https://www.grid.ac/institutes/grid.412282.f", 
          "name": [
            "Department of Nuclear Medicine, University of Essen-Duisburg, 45122, Essen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rekowski", 
        "givenName": "Jan", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Essen University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.410718.b", 
          "name": [
            "Department of Dermatology, Venerology and Allergology, University-Hospital Essen, University of Duisburg-Essen, 45122, Essen, Germany", 
            "West German Cancer Center, University Duisburg-Essen, 45122, Essen, Germany", 
            "German Consortium for Translational Cancer Research, Partner Site University Hospital Essen, Essen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jansen", 
        "givenName": "Philipp", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Essen University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.410718.b", 
          "name": [
            "Department of Dermatology, Venerology and Allergology, University-Hospital Essen, University of Duisburg-Essen, 45122, Essen, Germany", 
            "West German Cancer Center, University Duisburg-Essen, 45122, Essen, Germany", 
            "German Consortium for Translational Cancer Research, Partner Site University Hospital Essen, Essen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schadendorf", 
        "givenName": "Dirk", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University Hospital Carl Gustav Carus", 
          "id": "https://www.grid.ac/institutes/grid.412282.f", 
          "name": [
            "Department of Nuclear Medicine, University of Essen-Duisburg, 45122, Essen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stang", 
        "givenName": "Andreas", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Essen University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.410718.b", 
          "name": [
            "Department of Dermatology, Venerology and Allergology, University-Hospital Essen, University of Duisburg-Essen, 45122, Essen, Germany", 
            "West German Cancer Center, University Duisburg-Essen, 45122, Essen, Germany", 
            "German Consortium for Translational Cancer Research, Partner Site University Hospital Essen, Essen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Klode", 
        "givenName": "Joachim", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ejca.2011.04.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001183157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa060992", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003015127"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0190-9622(80)80118-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006026120"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1214/aos/1176345976", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006176283"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.0006-341x.2000.00554.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007400500"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bjs.5255", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008455934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bjs.5255", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008455934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bjs.5814", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012082471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/2012.jama.11030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012737857"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-008-9888-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015118093", 
          "https://doi.org/10.1245/s10434-008-9888-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-014-2771-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015806671", 
          "https://doi.org/10.1007/s00259-014-2771-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hed.21392", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017461803"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmct1002967", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029092722"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-009-0540-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030247756", 
          "https://doi.org/10.1245/s10434-009-0540-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-009-0540-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030247756", 
          "https://doi.org/10.1245/s10434-009-0540-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pst.1757", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030655835"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/ejso.2002.1379", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031624469"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/ejso.2002.1379", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031624469"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-008-0164-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034491441", 
          "https://doi.org/10.1245/s10434-008-0164-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-011-2031-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034592715", 
          "https://doi.org/10.1245/s10434-011-2031-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1310460", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039425315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1468-3083.2010.03954.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041035780"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-011-1880-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046425816", 
          "https://doi.org/10.1007/s00259-011-1880-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.39519.646424.be", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047168322"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncponc1014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053147833", 
          "https://doi.org/10.1038/ncponc1014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/biomet/62.2.269", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059418425"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2531021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069976491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077362904", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081436209", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: Melanoma has become a growing interdisciplinary problem in public health worldwide. According to the World Health Organization, the incidence of melanoma is increasing faster than any other cancer in the world. Because melanoma metastasizes early into the regional lymph nodes, sentinel lymph node excision (SLNE) is included in the current American Joint Committee of Cancer guidelines. However SLNE of melanoma has a high false-negative rate of up to 44%.\nMETHODS: The gold standard for detection and extirpation of the sentinel lymph node is preoperative lymphoscintigraphy. SPECT/CT provides complementary information: the advantages include accurate anatomical localization, identification of false positives, reduction in the number of false negatives, and alteration of the surgical approach. Therefore, sentinel lymph node-SPECT/CT provides valuable information before sentinel lymph node excision and advocates its use in melanoma. We present a multicenter, unblinded superiority randomized controlled trial to compare SPECT/CT-aided SLNE versus standard SLNE in melanoma patients.\nDISCUSSION: The primary efficacy endpoint is distant metastasis-free survival. Secondary endpoints comprise overall survival, disease-free survival, rate of local relapses within the follow-up period (false-negative rate of sentinel lymph node), number of positive sentinel lymph nodes (sensitivity, false-positive rate), complication rate, quality of life, quality-adjusted life years, inpatient days, and overall costs during hospital stays.\nTRIAL REGISTRATION: ClinicalTrials.gov, NCT03683550 . Registered on 20 September 2018.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s13063-019-3197-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1297400", 
        "issn": [
          "1468-6708", 
          "1745-6215"
        ], 
        "name": "Trials", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "20"
      }
    ], 
    "name": "Sentinel lymph node excision with or without preoperative hybrid single-photon emission computed tomography/computed tomography (SPECT/CT) in melanoma: study protocol for a multicentric randomized controlled trial", 
    "pagination": "99", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "14cb033156d24c3b2559427998b8e23586f8e0c8d01bd9bfc3b2cf7cb1eb2fee"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30717811"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101263253"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13063-019-3197-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111907405"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13063-019-3197-7", 
      "https://app.dimensions.ai/details/publication/pub.1111907405"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:00", 
    "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/v90/0000000329_0000000329/records_74689_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs13063-019-3197-7"
  }
]
 

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.10.1186/s13063-019-3197-7'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13063-019-3197-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13063-019-3197-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13063-019-3197-7'


 

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

193 TRIPLES      21 PREDICATES      55 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13063-019-3197-7 schema:about anzsrc-for:11
2 anzsrc-for:1112
3 schema:author N4226731792414964bbeb74987019894a
4 schema:citation sg:pub.10.1007/s00259-011-1880-3
5 sg:pub.10.1007/s00259-014-2771-1
6 sg:pub.10.1038/ncponc1014
7 sg:pub.10.1245/s10434-008-0164-z
8 sg:pub.10.1245/s10434-008-9888-z
9 sg:pub.10.1245/s10434-009-0540-3
10 sg:pub.10.1245/s10434-011-2031-6
11 https://app.dimensions.ai/details/publication/pub.1077362904
12 https://app.dimensions.ai/details/publication/pub.1081436209
13 https://doi.org/10.1001/2012.jama.11030
14 https://doi.org/10.1002/bjs.5255
15 https://doi.org/10.1002/bjs.5814
16 https://doi.org/10.1002/hed.21392
17 https://doi.org/10.1002/pst.1757
18 https://doi.org/10.1016/j.ejca.2011.04.029
19 https://doi.org/10.1016/s0190-9622(80)80118-6
20 https://doi.org/10.1053/ejso.2002.1379
21 https://doi.org/10.1056/nejmct1002967
22 https://doi.org/10.1056/nejmoa060992
23 https://doi.org/10.1056/nejmoa1310460
24 https://doi.org/10.1093/biomet/62.2.269
25 https://doi.org/10.1111/j.0006-341x.2000.00554.x
26 https://doi.org/10.1111/j.1468-3083.2010.03954.x
27 https://doi.org/10.1136/bmj.39519.646424.be
28 https://doi.org/10.1214/aos/1176345976
29 https://doi.org/10.2307/2531021
30 schema:datePublished 2019-12
31 schema:datePublishedReg 2019-12-01
32 schema:description BACKGROUND: Melanoma has become a growing interdisciplinary problem in public health worldwide. According to the World Health Organization, the incidence of melanoma is increasing faster than any other cancer in the world. Because melanoma metastasizes early into the regional lymph nodes, sentinel lymph node excision (SLNE) is included in the current American Joint Committee of Cancer guidelines. However SLNE of melanoma has a high false-negative rate of up to 44%. METHODS: The gold standard for detection and extirpation of the sentinel lymph node is preoperative lymphoscintigraphy. SPECT/CT provides complementary information: the advantages include accurate anatomical localization, identification of false positives, reduction in the number of false negatives, and alteration of the surgical approach. Therefore, sentinel lymph node-SPECT/CT provides valuable information before sentinel lymph node excision and advocates its use in melanoma. We present a multicenter, unblinded superiority randomized controlled trial to compare SPECT/CT-aided SLNE versus standard SLNE in melanoma patients. DISCUSSION: The primary efficacy endpoint is distant metastasis-free survival. Secondary endpoints comprise overall survival, disease-free survival, rate of local relapses within the follow-up period (false-negative rate of sentinel lymph node), number of positive sentinel lymph nodes (sensitivity, false-positive rate), complication rate, quality of life, quality-adjusted life years, inpatient days, and overall costs during hospital stays. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03683550 . Registered on 20 September 2018.
33 schema:genre research_article
34 schema:inLanguage en
35 schema:isAccessibleForFree true
36 schema:isPartOf Na0213eb35e664a53adcd8a74fee12b9e
37 Nbf58d0b609e841d3a1afe0fd63a992e7
38 sg:journal.1297400
39 schema:name Sentinel lymph node excision with or without preoperative hybrid single-photon emission computed tomography/computed tomography (SPECT/CT) in melanoma: study protocol for a multicentric randomized controlled trial
40 schema:pagination 99
41 schema:productId N58a61bdab6c740389d483e46dddf9494
42 N63511811286b4633959f3a4b166878b1
43 N81049169b4814bf1af64a333738e0e39
44 N98f84b99f4da4e6296357c59eded4e1f
45 Nd080d378fe634f3e9a179e2cd4ca8b7f
46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111907405
47 https://doi.org/10.1186/s13063-019-3197-7
48 schema:sdDatePublished 2019-04-11T09:00
49 schema:sdLicense https://scigraph.springernature.com/explorer/license/
50 schema:sdPublisher N0e8a42b700ef45d5a705ad4fb9291837
51 schema:url https://link.springer.com/10.1186%2Fs13063-019-3197-7
52 sgo:license sg:explorer/license/
53 sgo:sdDataset articles
54 rdf:type schema:ScholarlyArticle
55 N0e8a42b700ef45d5a705ad4fb9291837 schema:name Springer Nature - SN SciGraph project
56 rdf:type schema:Organization
57 N37e30111d9e94c81b1f1e16f064cfae3 rdf:first N88a7cfbc8b664b4bb9e606e2c659d4a0
58 rdf:rest Nfb411d82859446c3bb3466cb24f97746
59 N3c9d9c7856004c54b53207be0707c261 schema:affiliation https://www.grid.ac/institutes/grid.410718.b
60 schema:familyName Stoffels
61 schema:givenName Ingo
62 rdf:type schema:Person
63 N4226731792414964bbeb74987019894a rdf:first N3c9d9c7856004c54b53207be0707c261
64 rdf:rest N9bc8fd4bb53144359dac38ff025ea0f6
65 N458880b22153443b861900135c8a0183 schema:affiliation https://www.grid.ac/institutes/grid.410718.b
66 schema:familyName Herrmann
67 schema:givenName Ken
68 rdf:type schema:Person
69 N58a61bdab6c740389d483e46dddf9494 schema:name pubmed_id
70 schema:value 30717811
71 rdf:type schema:PropertyValue
72 N63511811286b4633959f3a4b166878b1 schema:name nlm_unique_id
73 schema:value 101263253
74 rdf:type schema:PropertyValue
75 N661d02d7a0a74afdaf2be61104e39692 schema:affiliation https://www.grid.ac/institutes/grid.410718.b
76 schema:familyName Klode
77 schema:givenName Joachim
78 rdf:type schema:Person
79 N81049169b4814bf1af64a333738e0e39 schema:name dimensions_id
80 schema:value pub.1111907405
81 rdf:type schema:PropertyValue
82 N88a7cfbc8b664b4bb9e606e2c659d4a0 schema:affiliation https://www.grid.ac/institutes/grid.410718.b
83 schema:familyName Jansen
84 schema:givenName Philipp
85 rdf:type schema:Person
86 N8ec7e401e3df45008a466f19bc7d1b2f schema:affiliation https://www.grid.ac/institutes/grid.412282.f
87 schema:familyName Rekowski
88 schema:givenName Jan
89 rdf:type schema:Person
90 N98311c57fe8b46eaac2ca37ef7148605 rdf:first N8ec7e401e3df45008a466f19bc7d1b2f
91 rdf:rest N37e30111d9e94c81b1f1e16f064cfae3
92 N98f84b99f4da4e6296357c59eded4e1f schema:name doi
93 schema:value 10.1186/s13063-019-3197-7
94 rdf:type schema:PropertyValue
95 N9bbfee53ff9b4c8589ac2d2c5d29e507 schema:affiliation https://www.grid.ac/institutes/grid.410718.b
96 schema:familyName Schadendorf
97 schema:givenName Dirk
98 rdf:type schema:Person
99 N9bc8fd4bb53144359dac38ff025ea0f6 rdf:first N458880b22153443b861900135c8a0183
100 rdf:rest N98311c57fe8b46eaac2ca37ef7148605
101 Na0213eb35e664a53adcd8a74fee12b9e schema:volumeNumber 20
102 rdf:type schema:PublicationVolume
103 Na1cefb9896ef4626b1e457954f48b4a2 rdf:first Na5c6429a921c4307a2a315a1347df116
104 rdf:rest Nef374844cc904d698c14d1ec994f4f56
105 Na5c6429a921c4307a2a315a1347df116 schema:affiliation https://www.grid.ac/institutes/grid.412282.f
106 schema:familyName Stang
107 schema:givenName Andreas
108 rdf:type schema:Person
109 Nbf58d0b609e841d3a1afe0fd63a992e7 schema:issueNumber 1
110 rdf:type schema:PublicationIssue
111 Nd080d378fe634f3e9a179e2cd4ca8b7f schema:name readcube_id
112 schema:value 14cb033156d24c3b2559427998b8e23586f8e0c8d01bd9bfc3b2cf7cb1eb2fee
113 rdf:type schema:PropertyValue
114 Nef374844cc904d698c14d1ec994f4f56 rdf:first N661d02d7a0a74afdaf2be61104e39692
115 rdf:rest rdf:nil
116 Nfb411d82859446c3bb3466cb24f97746 rdf:first N9bbfee53ff9b4c8589ac2d2c5d29e507
117 rdf:rest Na1cefb9896ef4626b1e457954f48b4a2
118 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
119 schema:name Medical and Health Sciences
120 rdf:type schema:DefinedTerm
121 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
122 schema:name Oncology and Carcinogenesis
123 rdf:type schema:DefinedTerm
124 sg:journal.1297400 schema:issn 1468-6708
125 1745-6215
126 schema:name Trials
127 rdf:type schema:Periodical
128 sg:pub.10.1007/s00259-011-1880-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046425816
129 https://doi.org/10.1007/s00259-011-1880-3
130 rdf:type schema:CreativeWork
131 sg:pub.10.1007/s00259-014-2771-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015806671
132 https://doi.org/10.1007/s00259-014-2771-1
133 rdf:type schema:CreativeWork
134 sg:pub.10.1038/ncponc1014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053147833
135 https://doi.org/10.1038/ncponc1014
136 rdf:type schema:CreativeWork
137 sg:pub.10.1245/s10434-008-0164-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1034491441
138 https://doi.org/10.1245/s10434-008-0164-z
139 rdf:type schema:CreativeWork
140 sg:pub.10.1245/s10434-008-9888-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1015118093
141 https://doi.org/10.1245/s10434-008-9888-z
142 rdf:type schema:CreativeWork
143 sg:pub.10.1245/s10434-009-0540-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030247756
144 https://doi.org/10.1245/s10434-009-0540-3
145 rdf:type schema:CreativeWork
146 sg:pub.10.1245/s10434-011-2031-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034592715
147 https://doi.org/10.1245/s10434-011-2031-6
148 rdf:type schema:CreativeWork
149 https://app.dimensions.ai/details/publication/pub.1077362904 schema:CreativeWork
150 https://app.dimensions.ai/details/publication/pub.1081436209 schema:CreativeWork
151 https://doi.org/10.1001/2012.jama.11030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012737857
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1002/bjs.5255 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008455934
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1002/bjs.5814 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012082471
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1002/hed.21392 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017461803
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1002/pst.1757 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030655835
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/j.ejca.2011.04.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001183157
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/s0190-9622(80)80118-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006026120
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1053/ejso.2002.1379 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031624469
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1056/nejmct1002967 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029092722
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1056/nejmoa060992 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003015127
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1056/nejmoa1310460 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039425315
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1093/biomet/62.2.269 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059418425
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1111/j.0006-341x.2000.00554.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007400500
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1111/j.1468-3083.2010.03954.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1041035780
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1136/bmj.39519.646424.be schema:sameAs https://app.dimensions.ai/details/publication/pub.1047168322
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1214/aos/1176345976 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006176283
182 rdf:type schema:CreativeWork
183 https://doi.org/10.2307/2531021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069976491
184 rdf:type schema:CreativeWork
185 https://www.grid.ac/institutes/grid.410718.b schema:alternateName Essen University Hospital
186 schema:name Center of Clinical Epidemiology, Institute of Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, 45122, Essen, Germany
187 Department of Dermatology, Venerology and Allergology, University-Hospital Essen, University of Duisburg-Essen, 45122, Essen, Germany
188 German Consortium for Translational Cancer Research, Partner Site University Hospital Essen, Essen, Germany
189 West German Cancer Center, University Duisburg-Essen, 45122, Essen, Germany
190 rdf:type schema:Organization
191 https://www.grid.ac/institutes/grid.412282.f schema:alternateName University Hospital Carl Gustav Carus
192 schema:name Department of Nuclear Medicine, University of Essen-Duisburg, 45122, Essen, Germany
193 rdf:type schema:Organization
 




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


...