Detection and Characterization of Parathyroid Adenoma/Hyperplasia for Preoperative Localization: Comparison Between 11C-Methionine PET/CT and 99mTc-Sestamibi Scintigraphy View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-07-06

AUTHORS

In Kook Chun, Gi Jeong Cheon, Jin Chul Paeng, Keon Wook Kang, June-Key Chung, Dong Soo Lee

ABSTRACT

Purpose11C-Methionine PET/CT (Met-PET/CT) is a useful imaging method for detection of parathyroid adenoma; however, the reported detection rate has been variable. The current study was intended to investigate detection sensitivity and preoperative localization of parathyroid adenoma (PA) or parathyroid hyperplasia (PH) on Met-PET/CT compared with 99mTc-sestamibi (MIBI) scintigraphy in patients with primary hyperparathyroidism (HPT) or suspected PA.MethodsMet-PET/CT and MIBI scintigraphy images were reviewed by two nuclear medicine physicians unaware of pathologic results. Detection sensitivities and preoperative localization of detected parathyroid tissues into five predefined segments were evaluated by visual assessment and semi-quantitative analysis with ratio of standardized uptake values (SUVR) between parathyroid tissue and normal lung as reference. Linear regression analysis with SUVR and serum parathyroid hormone (sPTH) was performed for characterization of PA or PH. Predicted PTH (pPTH) was calculated and compared with sPTH in PH and PA. Each pPTH was obtained for a calculated SUVR by using linear regression model from the result of previous linear regression analysis between SUVR and sPTH.ResultsIn 16 patients, detection sensitivities of Met-PET/CT and MIBI scintigraphy were 91.7 % (11/12) and 41.7 % (5/12) for PA and PH including both biopsy-confirmed and clinically-suspected cases, and 100 % (8/8) and 50 % (4/8) for pathologically confirmed PA and PH cases only, respectively. Met-PET/CT showed higher performance than MIBI scintigraphy in localization of parathyroid tissues; correct localization rate was 87.5 % (7/8) on Met-PET/CT and 50 % (4/8) on MIBI scintigraphy. In semi-quantitative analysis, SUVR was linearly associated with sPTH by linear regression analysis (sPTH = 39.53 × SUVR − 89.84, p = 0.0383). There was a borderline significant difference in pPTH between PH and PA (35.1 vs 204.7 ± 164.0, p = 0.052), while there was no significant difference in sPTH between PH and PA (289 vs 230.4 ± 160.4, p = 0.305).ConclusionsMet-PET/CT has a potential to be a useful diagnostic modality for preoperative detection and localization of parathyroid tissues with higher sensitivity than MIBI scintigraphy, and for characterization of PA or PH. More... »

PAGES

166-172

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13139-013-0212-x

DOI

http://dx.doi.org/10.1007/s13139-013-0212-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1051040107

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24900103


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Nuclear Medicine, Seoul National University College of Medicine, 110-744, Seoul, South Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Nuclear Medicine, Seoul National University College of Medicine, 110-744, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chun", 
        "givenName": "In Kook", 
        "id": "sg:person.0675037602.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675037602.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Nuclear Medicine, Seoul National University College of Medicine, 110-744, Seoul, South Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Nuclear Medicine, Seoul National University College of Medicine, 110-744, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cheon", 
        "givenName": "Gi Jeong", 
        "id": "sg:person.01333472502.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01333472502.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Nuclear Medicine, Seoul National University College of Medicine, 110-744, Seoul, South Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Nuclear Medicine, Seoul National University College of Medicine, 110-744, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Paeng", 
        "givenName": "Jin Chul", 
        "id": "sg:person.01343511335.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343511335.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Nuclear Medicine, Seoul National University College of Medicine, 110-744, Seoul, South Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Nuclear Medicine, Seoul National University College of Medicine, 110-744, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kang", 
        "givenName": "Keon Wook", 
        "id": "sg:person.0761746266.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761746266.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Nuclear Medicine, Seoul National University College of Medicine, 110-744, Seoul, South Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Nuclear Medicine, Seoul National University College of Medicine, 110-744, Seoul, South 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": "Department of Nuclear Medicine, Seoul National University College of Medicine, 110-744, Seoul, South Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Nuclear Medicine, Seoul National University College of Medicine, 110-744, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Dong Soo", 
        "id": "sg:person.015617314175.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015617314175.88"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s13139-011-0103-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010966800", 
          "https://doi.org/10.1007/s13139-011-0103-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12149-011-0551-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006467194", 
          "https://doi.org/10.1007/s12149-011-0551-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11307-009-0205-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032478202", 
          "https://doi.org/10.1007/s11307-009-0205-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-009-1131-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041862396", 
          "https://doi.org/10.1007/s00259-009-1131-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12020-012-9746-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038112017", 
          "https://doi.org/10.1007/s12020-012-9746-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-004-1610-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011470674", 
          "https://doi.org/10.1007/s00259-004-1610-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-005-0008-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040297773", 
          "https://doi.org/10.1007/s00259-005-0008-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13139-011-0075-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012701950", 
          "https://doi.org/10.1007/s13139-011-0075-y"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-07-06", 
    "datePublishedReg": "2013-07-06", 
    "description": "Purpose11C-Methionine PET/CT (Met-PET/CT) is a useful imaging method for detection of parathyroid adenoma; however, the reported detection rate has been variable. The current study was intended to investigate detection sensitivity and preoperative localization of parathyroid adenoma (PA) or parathyroid hyperplasia (PH) on Met-PET/CT compared with 99mTc-sestamibi (MIBI) scintigraphy in patients with primary hyperparathyroidism (HPT) or suspected PA.MethodsMet-PET/CT and MIBI scintigraphy images were reviewed by two nuclear medicine physicians unaware of pathologic results. Detection sensitivities and preoperative localization of detected parathyroid tissues into five predefined segments were evaluated by visual assessment and semi-quantitative analysis with ratio of standardized uptake values (SUVR) between parathyroid tissue and normal lung as reference. Linear regression analysis with SUVR and serum parathyroid hormone (sPTH) was performed for characterization of PA or PH. Predicted PTH (pPTH) was calculated and compared with sPTH in PH and PA. Each pPTH was obtained for a calculated SUVR by using linear regression model from the result of previous linear regression analysis between SUVR and sPTH.ResultsIn 16 patients, detection sensitivities of Met-PET/CT and MIBI scintigraphy were 91.7\u00a0% (11/12) and 41.7\u00a0% (5/12) for PA and PH including both biopsy-confirmed and clinically-suspected cases, and 100\u00a0% (8/8) and 50\u00a0% (4/8) for pathologically confirmed PA and PH cases only, respectively. Met-PET/CT showed higher performance than MIBI scintigraphy in localization of parathyroid tissues; correct localization rate was 87.5\u00a0% (7/8) on Met-PET/CT and 50\u00a0% (4/8) on MIBI scintigraphy. In semi-quantitative analysis, SUVR was linearly associated with sPTH by linear regression analysis (sPTH\u2009=\u200939.53\u2009\u00d7\u2009SUVR\u2009\u2212\u200989.84, p\u2009=\u20090.0383). There was a borderline significant difference in pPTH between PH and PA (35.1 vs 204.7\u2009\u00b1\u2009164.0, p\u2009=\u20090.052), while there was no significant difference in sPTH between PH and PA (289 vs 230.4\u2009\u00b1\u2009160.4, p\u2009=\u20090.305).ConclusionsMet-PET/CT has a potential to be a useful diagnostic modality for preoperative detection and localization of parathyroid tissues with higher sensitivity than MIBI scintigraphy, and for characterization of PA or PH.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s13139-013-0212-x", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1016285", 
        "issn": [
          "1869-3474", 
          "1869-3482"
        ], 
        "name": "Nuclear Medicine and Molecular Imaging", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "47"
      }
    ], 
    "keywords": [
      "serum parathyroid hormone", 
      "MET-PET/CT", 
      "parathyroid adenoma", 
      "MIBI scintigraphy", 
      "parathyroid tissue", 
      "PET/CT", 
      "preoperative localization", 
      "linear regression analysis", 
      "parathyroid adenoma/hyperplasia", 
      "regression analysis", 
      "useful diagnostic modality", 
      "borderline significant difference", 
      "standardized uptake value", 
      "useful imaging method", 
      "significant differences", 
      "nuclear medicine physicians", 
      "primary hyperparathyroidism", 
      "semi-quantitative analysis", 
      "parathyroid hormone", 
      "pathologic results", 
      "preoperative detection", 
      "diagnostic modalities", 
      "normal lung", 
      "medicine physicians", 
      "scintigraphy", 
      "uptake value", 
      "PH cases", 
      "scintigraphy images", 
      "SUVR", 
      "CT", 
      "hyperparathyroidism", 
      "patients", 
      "hyperplasia", 
      "adenomas", 
      "linear regression models", 
      "tissue", 
      "regression models", 
      "detection rate", 
      "visual assessment", 
      "current study", 
      "pPTH", 
      "imaging method", 
      "lung", 
      "PTH", 
      "physicians", 
      "hormone", 
      "sensitivity", 
      "correct localization rate", 
      "localization", 
      "modalities", 
      "localization rate", 
      "differences", 
      "cases", 
      "rate", 
      "high sensitivity", 
      "detection", 
      "assessment", 
      "analysis", 
      "study", 
      "results", 
      "segments", 
      "detection sensitivity", 
      "ratio", 
      "potential", 
      "comparison", 
      "pH", 
      "characterization", 
      "values", 
      "reference", 
      "method", 
      "model", 
      "images", 
      "performance", 
      "high performance"
    ], 
    "name": "Detection and Characterization of Parathyroid Adenoma/Hyperplasia for Preoperative Localization: Comparison Between 11C-Methionine PET/CT and 99mTc-Sestamibi Scintigraphy", 
    "pagination": "166-172", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1051040107"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s13139-013-0212-x"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24900103"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s13139-013-0212-x", 
      "https://app.dimensions.ai/details/publication/pub.1051040107"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-09-02T15:57", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_588.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s13139-013-0212-x"
  }
]
 

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/s13139-013-0212-x'

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/s13139-013-0212-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13139-013-0212-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13139-013-0212-x'


 

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

202 TRIPLES      21 PREDICATES      107 URIs      91 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s13139-013-0212-x schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author N38eac08875b04fa9a1fd1859baab7aec
4 schema:citation sg:pub.10.1007/s00259-004-1610-1
5 sg:pub.10.1007/s00259-005-0008-z
6 sg:pub.10.1007/s00259-009-1131-z
7 sg:pub.10.1007/s11307-009-0205-4
8 sg:pub.10.1007/s12020-012-9746-4
9 sg:pub.10.1007/s12149-011-0551-6
10 sg:pub.10.1007/s13139-011-0075-y
11 sg:pub.10.1007/s13139-011-0103-y
12 schema:datePublished 2013-07-06
13 schema:datePublishedReg 2013-07-06
14 schema:description Purpose11C-Methionine PET/CT (Met-PET/CT) is a useful imaging method for detection of parathyroid adenoma; however, the reported detection rate has been variable. The current study was intended to investigate detection sensitivity and preoperative localization of parathyroid adenoma (PA) or parathyroid hyperplasia (PH) on Met-PET/CT compared with 99mTc-sestamibi (MIBI) scintigraphy in patients with primary hyperparathyroidism (HPT) or suspected PA.MethodsMet-PET/CT and MIBI scintigraphy images were reviewed by two nuclear medicine physicians unaware of pathologic results. Detection sensitivities and preoperative localization of detected parathyroid tissues into five predefined segments were evaluated by visual assessment and semi-quantitative analysis with ratio of standardized uptake values (SUVR) between parathyroid tissue and normal lung as reference. Linear regression analysis with SUVR and serum parathyroid hormone (sPTH) was performed for characterization of PA or PH. Predicted PTH (pPTH) was calculated and compared with sPTH in PH and PA. Each pPTH was obtained for a calculated SUVR by using linear regression model from the result of previous linear regression analysis between SUVR and sPTH.ResultsIn 16 patients, detection sensitivities of Met-PET/CT and MIBI scintigraphy were 91.7 % (11/12) and 41.7 % (5/12) for PA and PH including both biopsy-confirmed and clinically-suspected cases, and 100 % (8/8) and 50 % (4/8) for pathologically confirmed PA and PH cases only, respectively. Met-PET/CT showed higher performance than MIBI scintigraphy in localization of parathyroid tissues; correct localization rate was 87.5 % (7/8) on Met-PET/CT and 50 % (4/8) on MIBI scintigraphy. In semi-quantitative analysis, SUVR was linearly associated with sPTH by linear regression analysis (sPTH = 39.53 × SUVR − 89.84, p = 0.0383). There was a borderline significant difference in pPTH between PH and PA (35.1 vs 204.7 ± 164.0, p = 0.052), while there was no significant difference in sPTH between PH and PA (289 vs 230.4 ± 160.4, p = 0.305).ConclusionsMet-PET/CT has a potential to be a useful diagnostic modality for preoperative detection and localization of parathyroid tissues with higher sensitivity than MIBI scintigraphy, and for characterization of PA or PH.
15 schema:genre article
16 schema:isAccessibleForFree true
17 schema:isPartOf N14cb3bfc730944efb71b9ffa413e443e
18 Nc0f06795c84943ccb9a8d46306a26c8f
19 sg:journal.1016285
20 schema:keywords CT
21 MET-PET/CT
22 MIBI scintigraphy
23 PET/CT
24 PH cases
25 PTH
26 SUVR
27 adenomas
28 analysis
29 assessment
30 borderline significant difference
31 cases
32 characterization
33 comparison
34 correct localization rate
35 current study
36 detection
37 detection rate
38 detection sensitivity
39 diagnostic modalities
40 differences
41 high performance
42 high sensitivity
43 hormone
44 hyperparathyroidism
45 hyperplasia
46 images
47 imaging method
48 linear regression analysis
49 linear regression models
50 localization
51 localization rate
52 lung
53 medicine physicians
54 method
55 modalities
56 model
57 normal lung
58 nuclear medicine physicians
59 pH
60 pPTH
61 parathyroid adenoma
62 parathyroid adenoma/hyperplasia
63 parathyroid hormone
64 parathyroid tissue
65 pathologic results
66 patients
67 performance
68 physicians
69 potential
70 preoperative detection
71 preoperative localization
72 primary hyperparathyroidism
73 rate
74 ratio
75 reference
76 regression analysis
77 regression models
78 results
79 scintigraphy
80 scintigraphy images
81 segments
82 semi-quantitative analysis
83 sensitivity
84 serum parathyroid hormone
85 significant differences
86 standardized uptake value
87 study
88 tissue
89 uptake value
90 useful diagnostic modality
91 useful imaging method
92 values
93 visual assessment
94 schema:name Detection and Characterization of Parathyroid Adenoma/Hyperplasia for Preoperative Localization: Comparison Between 11C-Methionine PET/CT and 99mTc-Sestamibi Scintigraphy
95 schema:pagination 166-172
96 schema:productId N169986ee12e74329b193d1dae5c25c71
97 N50d009d6faba420192a0240298056f83
98 N8c58ef124e024266930128deac71eb0d
99 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051040107
100 https://doi.org/10.1007/s13139-013-0212-x
101 schema:sdDatePublished 2022-09-02T15:57
102 schema:sdLicense https://scigraph.springernature.com/explorer/license/
103 schema:sdPublisher Nbff45a2a62a044c494ede115238235cd
104 schema:url https://doi.org/10.1007/s13139-013-0212-x
105 sgo:license sg:explorer/license/
106 sgo:sdDataset articles
107 rdf:type schema:ScholarlyArticle
108 N14cb3bfc730944efb71b9ffa413e443e schema:volumeNumber 47
109 rdf:type schema:PublicationVolume
110 N169986ee12e74329b193d1dae5c25c71 schema:name doi
111 schema:value 10.1007/s13139-013-0212-x
112 rdf:type schema:PropertyValue
113 N31f64b37d7a24766a2213d7c2467a57b rdf:first sg:person.01333472502.31
114 rdf:rest Ndc7033328f7b4202be0eef7851e5f89b
115 N38eac08875b04fa9a1fd1859baab7aec rdf:first sg:person.0675037602.35
116 rdf:rest N31f64b37d7a24766a2213d7c2467a57b
117 N4c1465a53f5d41f69c27860d1d4bee42 rdf:first sg:person.0751347234.39
118 rdf:rest Nda9fd487c32645e6b8acb3568ad57717
119 N50d009d6faba420192a0240298056f83 schema:name pubmed_id
120 schema:value 24900103
121 rdf:type schema:PropertyValue
122 N71a5550212084a9ca07d2f4f9613c6b9 rdf:first sg:person.0761746266.86
123 rdf:rest N4c1465a53f5d41f69c27860d1d4bee42
124 N8c58ef124e024266930128deac71eb0d schema:name dimensions_id
125 schema:value pub.1051040107
126 rdf:type schema:PropertyValue
127 Nbff45a2a62a044c494ede115238235cd schema:name Springer Nature - SN SciGraph project
128 rdf:type schema:Organization
129 Nc0f06795c84943ccb9a8d46306a26c8f schema:issueNumber 3
130 rdf:type schema:PublicationIssue
131 Nda9fd487c32645e6b8acb3568ad57717 rdf:first sg:person.015617314175.88
132 rdf:rest rdf:nil
133 Ndc7033328f7b4202be0eef7851e5f89b rdf:first sg:person.01343511335.32
134 rdf:rest N71a5550212084a9ca07d2f4f9613c6b9
135 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
136 schema:name Medical and Health Sciences
137 rdf:type schema:DefinedTerm
138 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
139 schema:name Clinical Sciences
140 rdf:type schema:DefinedTerm
141 sg:journal.1016285 schema:issn 1869-3474
142 1869-3482
143 schema:name Nuclear Medicine and Molecular Imaging
144 schema:publisher Springer Nature
145 rdf:type schema:Periodical
146 sg:person.01333472502.31 schema:affiliation grid-institutes:grid.31501.36
147 schema:familyName Cheon
148 schema:givenName Gi Jeong
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01333472502.31
150 rdf:type schema:Person
151 sg:person.01343511335.32 schema:affiliation grid-institutes:grid.31501.36
152 schema:familyName Paeng
153 schema:givenName Jin Chul
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343511335.32
155 rdf:type schema:Person
156 sg:person.015617314175.88 schema:affiliation grid-institutes:grid.31501.36
157 schema:familyName Lee
158 schema:givenName Dong Soo
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015617314175.88
160 rdf:type schema:Person
161 sg:person.0675037602.35 schema:affiliation grid-institutes:grid.31501.36
162 schema:familyName Chun
163 schema:givenName In Kook
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675037602.35
165 rdf:type schema:Person
166 sg:person.0751347234.39 schema:affiliation grid-institutes:grid.31501.36
167 schema:familyName Chung
168 schema:givenName June-Key
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751347234.39
170 rdf:type schema:Person
171 sg:person.0761746266.86 schema:affiliation grid-institutes:grid.31501.36
172 schema:familyName Kang
173 schema:givenName Keon Wook
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761746266.86
175 rdf:type schema:Person
176 sg:pub.10.1007/s00259-004-1610-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011470674
177 https://doi.org/10.1007/s00259-004-1610-1
178 rdf:type schema:CreativeWork
179 sg:pub.10.1007/s00259-005-0008-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1040297773
180 https://doi.org/10.1007/s00259-005-0008-z
181 rdf:type schema:CreativeWork
182 sg:pub.10.1007/s00259-009-1131-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1041862396
183 https://doi.org/10.1007/s00259-009-1131-z
184 rdf:type schema:CreativeWork
185 sg:pub.10.1007/s11307-009-0205-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032478202
186 https://doi.org/10.1007/s11307-009-0205-4
187 rdf:type schema:CreativeWork
188 sg:pub.10.1007/s12020-012-9746-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038112017
189 https://doi.org/10.1007/s12020-012-9746-4
190 rdf:type schema:CreativeWork
191 sg:pub.10.1007/s12149-011-0551-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006467194
192 https://doi.org/10.1007/s12149-011-0551-6
193 rdf:type schema:CreativeWork
194 sg:pub.10.1007/s13139-011-0075-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1012701950
195 https://doi.org/10.1007/s13139-011-0075-y
196 rdf:type schema:CreativeWork
197 sg:pub.10.1007/s13139-011-0103-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1010966800
198 https://doi.org/10.1007/s13139-011-0103-y
199 rdf:type schema:CreativeWork
200 grid-institutes:grid.31501.36 schema:alternateName Department of Nuclear Medicine, Seoul National University College of Medicine, 110-744, Seoul, South Korea
201 schema:name Department of Nuclear Medicine, Seoul National University College of Medicine, 110-744, Seoul, South Korea
202 rdf:type schema:Organization
 




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


...