Comparison of FDG-PET findings of brain metastasis from non-small-cell lung cancer and small-cell lung cancer View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2008-05

AUTHORS

Ho-Young Lee, June-Key Chung, Jae Min Jeong, Dong Soo Lee, Dong Gyu Kim, Hee Won Jung, Myung Chul Lee

ABSTRACT

ObjectiveWe compared the F-18 fluorodeoxyglucose positron emission tomography (FDG-PET) findings of brain metastasis between patients with non-small-cell lung cancer (NSCLC) and small cell lung cancer (SCLC).MethodsA whole-body FDG and a brain PET were performed in 48 patients (31 men, 17 women; 57 ± 9 years, 42 NSCLC, 6 SCLC), who had brain metastasis on magnetic resonance (MR). All primary lung lesions were detected by FDG-PET and confirmed pathologically. We analyzed the PET findings, lesion sizes, and the pathological result of primary lung cancer.ResultsOf the 48 patients, 31 (64.6%) showed hypermetabolic lesions on FDG-PET of the brain image, and 14 (29.2%) showed hypometabolic lesions. Three patients (6.3%) had both hypermetabolic and hypometabolic lesions. On the lesion-based analysis, 74 lesions (67.3%) showed hypermetabolism on FDG-PET, and 36 lesions (32.7%) showed hypometabolism. All primary lung lesions were hypermetabolic on FDG-PET. When the FDG findings of metastatic brain lesions were analyzed with the pathological types of primary lung cancer, NSCLC was more frequently associated with hypermetabolic metastatic brain lesions than SCLC (80% and 26.7%, respectively, P < 0.01). On comparing the sizes of metastatic lesions between SCLC (1.3 ± 1.2 cm) and NSCLC (1.8 ± 1.2 cm), lesions of <1 cm were more frequent in SCLC than in NSCLC (P = 0.012). But no significant relationship was found between the size and PET finding of metastatic lesion (P = 0.412).ConclusionsEven when the primary lesion of lung cancer showed hypermetabolism in FDG-PET, FDG accumulation in metastatic brain lesions was variable. One-third of brain metastases from lung cancer showed hypometabolism. NSCLC was more frequently associated with hypermetabolic metastatic brain lesions than SCLC. The PET findings of brain lesions were affected not only by the size of lesion but also by its biological characteristics. More... »

PAGES

281

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12149-007-0104-1

DOI

http://dx.doi.org/10.1007/s12149-007-0104-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1034373795

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/18535878


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Brain Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carcinoma, Non-Small-Cell Lung", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carcinoma, Small Cell", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Fluorodeoxyglucose F18", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lung Neoplasms", 
        "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": "Neoplasm Staging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Positron-Emission Tomography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiopharmaceuticals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Whole-Body Counting", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Nuclear Medicine, Seoul National University College of Medicine, 28 Yongon-dong, Chongno-gu, 110-744, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Nuclear Medicine, Seoul National University College of Medicine, 28 Yongon-dong, Chongno-gu, 110-744, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Ho-Young", 
        "id": "sg:person.011537516560.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011537516560.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Nuclear Medicine, Seoul National University College of Medicine, 28 Yongon-dong, Chongno-gu, 110-744, Seoul, Korea", 
            "Tumor Immunity Medical Research Center, Seoul National University College of Medicine, Seoul, Korea", 
            "Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chung", 
        "givenName": "June-Key", 
        "id": "sg:person.0751347234.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751347234.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Nuclear Medicine, Seoul National University College of Medicine, 28 Yongon-dong, Chongno-gu, 110-744, Seoul, Korea", 
            "Tumor Immunity Medical Research Center, Seoul National University College of Medicine, Seoul, Korea", 
            "Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jeong", 
        "givenName": "Jae Min", 
        "id": "sg:person.01301360400.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01301360400.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Nuclear Medicine, Seoul National University College of Medicine, 28 Yongon-dong, Chongno-gu, 110-744, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Nuclear Medicine, Seoul National University College of Medicine, 28 Yongon-dong, Chongno-gu, 110-744, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Dong Soo", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Neurosurgery, Seoul National University College of Medicine, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Neurosurgery, Seoul National University College of Medicine, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Dong Gyu", 
        "id": "sg:person.0664476017.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0664476017.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Neurosurgery, Seoul National University College of Medicine, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Neurosurgery, Seoul National University College of Medicine, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jung", 
        "givenName": "Hee Won", 
        "id": "sg:person.01315055034.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315055034.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Nuclear Medicine, Seoul National University College of Medicine, 28 Yongon-dong, Chongno-gu, 110-744, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Nuclear Medicine, Seoul National University College of Medicine, 28 Yongon-dong, Chongno-gu, 110-744, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Myung Chul", 
        "id": "sg:person.01337220140.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01337220140.25"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf02988499", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000471914", 
          "https://doi.org/10.1007/bf02988499"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-002-0924-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012723639", 
          "https://doi.org/10.1007/s00259-002-0924-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-004-1606-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019594852", 
          "https://doi.org/10.1007/s00259-004-1606-x"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2008-05", 
    "datePublishedReg": "2008-05-01", 
    "description": "ObjectiveWe compared the F-18 fluorodeoxyglucose positron emission tomography (FDG-PET) findings of brain metastasis between patients with non-small-cell lung cancer (NSCLC) and small cell lung cancer (SCLC).MethodsA whole-body FDG and a brain PET were performed in 48 patients (31 men, 17 women; 57 \u00b1 9 years, 42 NSCLC, 6 SCLC), who had brain metastasis on magnetic resonance (MR). All primary lung lesions were detected by FDG-PET and confirmed pathologically. We analyzed the PET findings, lesion sizes, and the pathological result of primary lung cancer.ResultsOf the 48 patients, 31 (64.6%) showed hypermetabolic lesions on FDG-PET of the brain image, and 14 (29.2%) showed hypometabolic lesions. Three patients (6.3%) had both hypermetabolic and hypometabolic lesions. On the lesion-based analysis, 74 lesions (67.3%) showed hypermetabolism on FDG-PET, and 36 lesions (32.7%) showed hypometabolism. All primary lung lesions were hypermetabolic on FDG-PET. When the FDG findings of metastatic brain lesions were analyzed with the pathological types of primary lung cancer, NSCLC was more frequently associated with hypermetabolic metastatic brain lesions than SCLC (80% and 26.7%, respectively, P < 0.01). On comparing the sizes of metastatic lesions between SCLC (1.3 \u00b1 1.2 cm) and NSCLC (1.8 \u00b1 1.2 cm), lesions of <1 cm were more frequent in SCLC than in NSCLC (P = 0.012). But no significant relationship was found between the size and PET finding of metastatic lesion (P = 0.412).ConclusionsEven when the primary lesion of lung cancer showed hypermetabolism in FDG-PET, FDG accumulation in metastatic brain lesions was variable. One-third of brain metastases from lung cancer showed hypometabolism. NSCLC was more frequently associated with hypermetabolic metastatic brain lesions than SCLC. The PET findings of brain lesions were affected not only by the size of lesion but also by its biological characteristics.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s12149-007-0104-1", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1099601", 
        "issn": [
          "0914-7187", 
          "1864-6433"
        ], 
        "name": "Annals of Nuclear Medicine", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "22"
      }
    ], 
    "keywords": [
      "small cell lung cancer", 
      "metastatic brain lesions", 
      "cell lung cancer", 
      "primary lung lesion", 
      "primary lung cancer", 
      "brain metastases", 
      "lung cancer", 
      "FDG-PET", 
      "brain lesions", 
      "PET findings", 
      "metastatic lesions", 
      "lung lesions", 
      "hypometabolic lesions", 
      "fluorodeoxyglucose positron emission tomography (FDG-PET) findings", 
      "positron emission tomography findings", 
      "FDG-PET findings", 
      "lesion-based analysis", 
      "size of lesions", 
      "whole-body FDG", 
      "tomography findings", 
      "hypermetabolic lesions", 
      "FDG accumulation", 
      "primary lesion", 
      "pathological type", 
      "FDG findings", 
      "pathological results", 
      "magnetic resonance", 
      "lesion size", 
      "NSCLC", 
      "patients", 
      "lesions", 
      "metastasis", 
      "cancer", 
      "hypermetabolism", 
      "hypometabolism", 
      "one-third", 
      "brain PET", 
      "findings", 
      "biological characteristics", 
      "significant relationship", 
      "ResultsOf", 
      "FDG", 
      "ObjectiveWe", 
      "ConclusionsEven", 
      "brain images", 
      "PET", 
      "accumulation", 
      "size", 
      "relationship", 
      "types", 
      "comparison", 
      "analysis", 
      "results", 
      "characteristics", 
      "resonance", 
      "images"
    ], 
    "name": "Comparison of FDG-PET findings of brain metastasis from non-small-cell lung cancer and small-cell lung cancer", 
    "pagination": "281", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1034373795"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12149-007-0104-1"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "18535878"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12149-007-0104-1", 
      "https://app.dimensions.ai/details/publication/pub.1034373795"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-12-01T06:27", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_473.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s12149-007-0104-1"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12149-007-0104-1'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12149-007-0104-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12149-007-0104-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12149-007-0104-1'


 

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

235 TRIPLES      21 PREDICATES      100 URIs      89 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12149-007-0104-1 schema:about N0d2a1a76c5ea44bebf02e5dfb07c2b75
2 N118f8eaca98a4defb5527e5733099060
3 N2332d06c7c9244f9a33f38e3c9c104db
4 N28cb68a381094a67940b50ef68c354bd
5 N68b1262837d04533a6d2525b133312c3
6 N7841ab9f1b1f4bc6bb542da6fb302fe2
7 N78d722a1d71844ef9ae89b96ab5108ea
8 N91dfb9b3a04e43d6934b215f268bd7ec
9 N94553b1885e746fab951811ba4f30fe1
10 N9d50759c187b4e9ba45d1a537e649f29
11 Na2a642c4fbd54d1a8d59bd9af170de93
12 Na61eb300d2c34409a6989c9cab4d84ee
13 Nc2615105341940d4acf798d90fc801bf
14 Nf0237cf419404bf8b74073795b829599
15 Nfbf724550c7c42959a0c594848763db7
16 anzsrc-for:11
17 anzsrc-for:1112
18 schema:author N0dfeb0635f6445dc95967f1083761a78
19 schema:citation sg:pub.10.1007/bf02988499
20 sg:pub.10.1007/s00259-002-0924-0
21 sg:pub.10.1007/s00259-004-1606-x
22 schema:datePublished 2008-05
23 schema:datePublishedReg 2008-05-01
24 schema:description ObjectiveWe compared the F-18 fluorodeoxyglucose positron emission tomography (FDG-PET) findings of brain metastasis between patients with non-small-cell lung cancer (NSCLC) and small cell lung cancer (SCLC).MethodsA whole-body FDG and a brain PET were performed in 48 patients (31 men, 17 women; 57 ± 9 years, 42 NSCLC, 6 SCLC), who had brain metastasis on magnetic resonance (MR). All primary lung lesions were detected by FDG-PET and confirmed pathologically. We analyzed the PET findings, lesion sizes, and the pathological result of primary lung cancer.ResultsOf the 48 patients, 31 (64.6%) showed hypermetabolic lesions on FDG-PET of the brain image, and 14 (29.2%) showed hypometabolic lesions. Three patients (6.3%) had both hypermetabolic and hypometabolic lesions. On the lesion-based analysis, 74 lesions (67.3%) showed hypermetabolism on FDG-PET, and 36 lesions (32.7%) showed hypometabolism. All primary lung lesions were hypermetabolic on FDG-PET. When the FDG findings of metastatic brain lesions were analyzed with the pathological types of primary lung cancer, NSCLC was more frequently associated with hypermetabolic metastatic brain lesions than SCLC (80% and 26.7%, respectively, P < 0.01). On comparing the sizes of metastatic lesions between SCLC (1.3 ± 1.2 cm) and NSCLC (1.8 ± 1.2 cm), lesions of <1 cm were more frequent in SCLC than in NSCLC (P = 0.012). But no significant relationship was found between the size and PET finding of metastatic lesion (P = 0.412).ConclusionsEven when the primary lesion of lung cancer showed hypermetabolism in FDG-PET, FDG accumulation in metastatic brain lesions was variable. One-third of brain metastases from lung cancer showed hypometabolism. NSCLC was more frequently associated with hypermetabolic metastatic brain lesions than SCLC. The PET findings of brain lesions were affected not only by the size of lesion but also by its biological characteristics.
25 schema:genre article
26 schema:isAccessibleForFree false
27 schema:isPartOf Ne5766384b688438b9abe57a4ad4690a8
28 Nebca3b6c07724628b3301dc5b989ad9f
29 sg:journal.1099601
30 schema:keywords ConclusionsEven
31 FDG
32 FDG accumulation
33 FDG findings
34 FDG-PET
35 FDG-PET findings
36 NSCLC
37 ObjectiveWe
38 PET
39 PET findings
40 ResultsOf
41 accumulation
42 analysis
43 biological characteristics
44 brain PET
45 brain images
46 brain lesions
47 brain metastases
48 cancer
49 cell lung cancer
50 characteristics
51 comparison
52 findings
53 fluorodeoxyglucose positron emission tomography (FDG-PET) findings
54 hypermetabolic lesions
55 hypermetabolism
56 hypometabolic lesions
57 hypometabolism
58 images
59 lesion size
60 lesion-based analysis
61 lesions
62 lung cancer
63 lung lesions
64 magnetic resonance
65 metastasis
66 metastatic brain lesions
67 metastatic lesions
68 one-third
69 pathological results
70 pathological type
71 patients
72 positron emission tomography findings
73 primary lesion
74 primary lung cancer
75 primary lung lesion
76 relationship
77 resonance
78 results
79 significant relationship
80 size
81 size of lesions
82 small cell lung cancer
83 tomography findings
84 types
85 whole-body FDG
86 schema:name Comparison of FDG-PET findings of brain metastasis from non-small-cell lung cancer and small-cell lung cancer
87 schema:pagination 281
88 schema:productId N599e98765f59402da2751256f2a77ea9
89 N631990b149974ddc9aacb1d4810d235b
90 N970f98e2b5744920a8f7a51e2bf1c1cb
91 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034373795
92 https://doi.org/10.1007/s12149-007-0104-1
93 schema:sdDatePublished 2022-12-01T06:27
94 schema:sdLicense https://scigraph.springernature.com/explorer/license/
95 schema:sdPublisher Nc4afe629f85748b88785e86285663f1c
96 schema:url https://doi.org/10.1007/s12149-007-0104-1
97 sgo:license sg:explorer/license/
98 sgo:sdDataset articles
99 rdf:type schema:ScholarlyArticle
100 N0d2a1a76c5ea44bebf02e5dfb07c2b75 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Brain Neoplasms
102 rdf:type schema:DefinedTerm
103 N0dfeb0635f6445dc95967f1083761a78 rdf:first sg:person.011537516560.15
104 rdf:rest Nc52024e34f5e44c2892e28a308225fc0
105 N118f8eaca98a4defb5527e5733099060 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Sensitivity and Specificity
107 rdf:type schema:DefinedTerm
108 N11d42b0c95144672be80195654be9600 rdf:first sg:person.01315055034.67
109 rdf:rest Nb55216f585bd4b09a1126eecb2aa8baa
110 N2332d06c7c9244f9a33f38e3c9c104db schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Aged
112 rdf:type schema:DefinedTerm
113 N279ead0af5944340af56af6ef8e991d4 rdf:first sg:person.01301360400.94
114 rdf:rest Neba161de4045420fb89bd145cc3c12a0
115 N28cb68a381094a67940b50ef68c354bd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Neoplasm Staging
117 rdf:type schema:DefinedTerm
118 N4d95d14130c4400981480dda4ab6ae9c rdf:first sg:person.0664476017.21
119 rdf:rest N11d42b0c95144672be80195654be9600
120 N599e98765f59402da2751256f2a77ea9 schema:name pubmed_id
121 schema:value 18535878
122 rdf:type schema:PropertyValue
123 N631990b149974ddc9aacb1d4810d235b schema:name doi
124 schema:value 10.1007/s12149-007-0104-1
125 rdf:type schema:PropertyValue
126 N68b1262837d04533a6d2525b133312c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Middle Aged
128 rdf:type schema:DefinedTerm
129 N7841ab9f1b1f4bc6bb542da6fb302fe2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Positron-Emission Tomography
131 rdf:type schema:DefinedTerm
132 N78d722a1d71844ef9ae89b96ab5108ea schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Lung Neoplasms
134 rdf:type schema:DefinedTerm
135 N91dfb9b3a04e43d6934b215f268bd7ec schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Whole-Body Counting
137 rdf:type schema:DefinedTerm
138 N94553b1885e746fab951811ba4f30fe1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Humans
140 rdf:type schema:DefinedTerm
141 N970f98e2b5744920a8f7a51e2bf1c1cb schema:name dimensions_id
142 schema:value pub.1034373795
143 rdf:type schema:PropertyValue
144 N9d50759c187b4e9ba45d1a537e649f29 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Carcinoma, Small Cell
146 rdf:type schema:DefinedTerm
147 Na2a642c4fbd54d1a8d59bd9af170de93 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Carcinoma, Non-Small-Cell Lung
149 rdf:type schema:DefinedTerm
150 Na61eb300d2c34409a6989c9cab4d84ee schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Fluorodeoxyglucose F18
152 rdf:type schema:DefinedTerm
153 Nb55216f585bd4b09a1126eecb2aa8baa rdf:first sg:person.01337220140.25
154 rdf:rest rdf:nil
155 Nbf1a5baf5ae442fbaea3a11cecd205dc schema:affiliation grid-institutes:grid.31501.36
156 schema:familyName Lee
157 schema:givenName Dong Soo
158 rdf:type schema:Person
159 Nc2615105341940d4acf798d90fc801bf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Female
161 rdf:type schema:DefinedTerm
162 Nc4afe629f85748b88785e86285663f1c schema:name Springer Nature - SN SciGraph project
163 rdf:type schema:Organization
164 Nc52024e34f5e44c2892e28a308225fc0 rdf:first sg:person.0751347234.39
165 rdf:rest N279ead0af5944340af56af6ef8e991d4
166 Ne5766384b688438b9abe57a4ad4690a8 schema:volumeNumber 22
167 rdf:type schema:PublicationVolume
168 Neba161de4045420fb89bd145cc3c12a0 rdf:first Nbf1a5baf5ae442fbaea3a11cecd205dc
169 rdf:rest N4d95d14130c4400981480dda4ab6ae9c
170 Nebca3b6c07724628b3301dc5b989ad9f schema:issueNumber 4
171 rdf:type schema:PublicationIssue
172 Nf0237cf419404bf8b74073795b829599 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Radiopharmaceuticals
174 rdf:type schema:DefinedTerm
175 Nfbf724550c7c42959a0c594848763db7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
176 schema:name Male
177 rdf:type schema:DefinedTerm
178 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
179 schema:name Medical and Health Sciences
180 rdf:type schema:DefinedTerm
181 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
182 schema:name Oncology and Carcinogenesis
183 rdf:type schema:DefinedTerm
184 sg:journal.1099601 schema:issn 0914-7187
185 1864-6433
186 schema:name Annals of Nuclear Medicine
187 schema:publisher Springer Nature
188 rdf:type schema:Periodical
189 sg:person.011537516560.15 schema:affiliation grid-institutes:grid.31501.36
190 schema:familyName Lee
191 schema:givenName Ho-Young
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011537516560.15
193 rdf:type schema:Person
194 sg:person.01301360400.94 schema:affiliation grid-institutes:grid.31501.36
195 schema:familyName Jeong
196 schema:givenName Jae Min
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01301360400.94
198 rdf:type schema:Person
199 sg:person.01315055034.67 schema:affiliation grid-institutes:grid.31501.36
200 schema:familyName Jung
201 schema:givenName Hee Won
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315055034.67
203 rdf:type schema:Person
204 sg:person.01337220140.25 schema:affiliation grid-institutes:grid.31501.36
205 schema:familyName Lee
206 schema:givenName Myung Chul
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01337220140.25
208 rdf:type schema:Person
209 sg:person.0664476017.21 schema:affiliation grid-institutes:grid.31501.36
210 schema:familyName Kim
211 schema:givenName Dong Gyu
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0664476017.21
213 rdf:type schema:Person
214 sg:person.0751347234.39 schema:affiliation grid-institutes:grid.31501.36
215 schema:familyName Chung
216 schema:givenName June-Key
217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751347234.39
218 rdf:type schema:Person
219 sg:pub.10.1007/bf02988499 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000471914
220 https://doi.org/10.1007/bf02988499
221 rdf:type schema:CreativeWork
222 sg:pub.10.1007/s00259-002-0924-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012723639
223 https://doi.org/10.1007/s00259-002-0924-0
224 rdf:type schema:CreativeWork
225 sg:pub.10.1007/s00259-004-1606-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1019594852
226 https://doi.org/10.1007/s00259-004-1606-x
227 rdf:type schema:CreativeWork
228 grid-institutes:grid.31501.36 schema:alternateName Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
229 Department of Neurosurgery, Seoul National University College of Medicine, Seoul, Korea
230 Department of Nuclear Medicine, Seoul National University College of Medicine, 28 Yongon-dong, Chongno-gu, 110-744, Seoul, Korea
231 schema:name Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
232 Department of Neurosurgery, Seoul National University College of Medicine, Seoul, Korea
233 Department of Nuclear Medicine, Seoul National University College of Medicine, 28 Yongon-dong, Chongno-gu, 110-744, Seoul, Korea
234 Tumor Immunity Medical Research Center, Seoul National University College of Medicine, Seoul, Korea
235 rdf:type schema:Organization
 




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


...