Use of PET to monitor the response of lung cancer to radiation treatment View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2000-06

AUTHORS

Yusuf E. Erdi, Homer Macapinlac, Kenneth E. Rosenzweig, John L. Humm, Steven M. Larson, Alev K. Erdi, Ellen D. Yorke

ABSTRACT

Approximately 170,000 people are diagnosed with lung cancer in the United States each year. Many of these patients receive external beam radiation for treatment. Fluorine-18 2-fluoro-2-deoxy-D-glucose positron emission tomography (FDG PET) is increasingly being used in evaluating non-small cell lung cancer and may be of clinical utility in assessing response to treatment. In this report, we present FDG PET images and data from two patients who were followed with a total of eight and seven serial FDG PET scans, respectively, through the entire course of their radiation therapy. Changes in several potential response parameters are shown versus time, including lesion volume (V(FDG)) by PET, SUVav, SUVmax, and total lesion glycolysis (TLG) during the course of radiotherapy. The response parameters for patient 1 demonstrated a progressive decrease; however, the response parameters for patient 2 showed an initial decrease followed by an increase. The data presented here may suggest that the outcome of radiation therapy can be predicted by PET imaging, but this observation requires a study of additional patients. More... »

PAGES

861-866

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s002590000258

DOI

http://dx.doi.org/10.1007/s002590000258

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1023563560

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/10952499


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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "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": "Radiopharmaceuticals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiotherapy Dosage", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, Emission-Computed", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, USA, US"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Erdi", 
        "givenName": "Yusuf E.", 
        "id": "sg:person.01320377707.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01320377707.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Radiology, Nuclear Medicine Service, Memorial Sloan-Kettering Cancer Center, New York, USA, US"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Macapinlac", 
        "givenName": "Homer", 
        "id": "sg:person.0677650210.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677650210.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Radiation Oncology Memorial Sloan-Kettering Cancer Center, New York, USA, US"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rosenzweig", 
        "givenName": "Kenneth E.", 
        "id": "sg:person.01033137050.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033137050.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, USA, US"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Humm", 
        "givenName": "John L.", 
        "id": "sg:person.01354307151.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01354307151.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Radiology, Nuclear Medicine Service, Memorial Sloan-Kettering Cancer Center, New York, USA, US"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Larson", 
        "givenName": "Steven M.", 
        "id": "sg:person.013306534017.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013306534017.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, USA, US"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Erdi", 
        "givenName": "Alev K.", 
        "id": "sg:person.01157147260.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157147260.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, USA, US"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yorke", 
        "givenName": "Ellen D.", 
        "id": "sg:person.01277520552.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01277520552.39"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0360-3016(90)90026-g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028948175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-8140(97)01907-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030783867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0969-8051(96)00080-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034246117"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0360-3016(96)00593-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040603769"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000421-199608000-00020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060113482"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2000-06", 
    "datePublishedReg": "2000-06-01", 
    "description": "Approximately 170,000 people are diagnosed with lung cancer in the United States each year. Many of these patients receive external beam radiation for treatment. Fluorine-18 2-fluoro-2-deoxy-D-glucose positron emission tomography (FDG PET) is increasingly being used in evaluating non-small cell lung cancer and may be of clinical utility in assessing response to treatment. In this report, we present FDG PET images and data from two patients who were followed with a total of eight and seven serial FDG PET scans, respectively, through the entire course of their radiation therapy. Changes in several potential response parameters are shown versus time, including lesion volume (V(FDG)) by PET, SUVav, SUVmax, and total lesion glycolysis (TLG) during the course of radiotherapy. The response parameters for patient 1 demonstrated a progressive decrease; however, the response parameters for patient 2 showed an initial decrease followed by an increase. The data presented here may suggest that the outcome of radiation therapy can be predicted by PET imaging, but this observation requires a study of additional patients.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s002590000258", 
    "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": "7", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "27"
      }
    ], 
    "name": "Use of PET to monitor the response of lung cancer to radiation treatment", 
    "pagination": "861-866", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "7043926d4ca329c52ddc6834bbf7a3e0c789c9ef2706548a2b6fb83dcaf4f733"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "10952499"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7606882"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s002590000258"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1023563560"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s002590000258", 
      "https://app.dimensions.ai/details/publication/pub.1023563560"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T13:16", 
    "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_8659_00000512.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs002590000258"
  }
]
 

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/s002590000258'

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/s002590000258'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s002590000258'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s002590000258'


 

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

164 TRIPLES      21 PREDICATES      43 URIs      30 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s002590000258 schema:about N25bc8aa6b90b454a989b5cc16dfa1c64
2 N336951d77f8e4c7fad99938da6a0e322
3 N3893f219a3b3451996d99e2ed0257aec
4 N4d8a867d36334c67b22dc1540f59f353
5 N52b8bb47133c4c42becb115a4dc1ed00
6 N63fafa1a3c9f4c28a09610042bfe60f9
7 N7d0463164b0b4f2db73a92aadc043e14
8 Na3b5d48e7a4b420aa0499e91f22a6153
9 Na72170220bed4801b5366efd8b4d68e2
10 anzsrc-for:11
11 anzsrc-for:1112
12 schema:author Na6b0465540a04ae191201bb77cbd549e
13 schema:citation https://doi.org/10.1016/0360-3016(90)90026-g
14 https://doi.org/10.1016/0969-8051(96)00080-7
15 https://doi.org/10.1016/s0167-8140(97)01907-5
16 https://doi.org/10.1016/s0360-3016(96)00593-7
17 https://doi.org/10.1097/00000421-199608000-00020
18 schema:datePublished 2000-06
19 schema:datePublishedReg 2000-06-01
20 schema:description Approximately 170,000 people are diagnosed with lung cancer in the United States each year. Many of these patients receive external beam radiation for treatment. Fluorine-18 2-fluoro-2-deoxy-D-glucose positron emission tomography (FDG PET) is increasingly being used in evaluating non-small cell lung cancer and may be of clinical utility in assessing response to treatment. In this report, we present FDG PET images and data from two patients who were followed with a total of eight and seven serial FDG PET scans, respectively, through the entire course of their radiation therapy. Changes in several potential response parameters are shown versus time, including lesion volume (V(FDG)) by PET, SUVav, SUVmax, and total lesion glycolysis (TLG) during the course of radiotherapy. The response parameters for patient 1 demonstrated a progressive decrease; however, the response parameters for patient 2 showed an initial decrease followed by an increase. The data presented here may suggest that the outcome of radiation therapy can be predicted by PET imaging, but this observation requires a study of additional patients.
21 schema:genre research_article
22 schema:inLanguage en
23 schema:isAccessibleForFree false
24 schema:isPartOf N339e52c79cf04fcba7e4a33a231f1a13
25 Na664bc8c86d9423780f141586dbeb217
26 sg:journal.1297401
27 schema:name Use of PET to monitor the response of lung cancer to radiation treatment
28 schema:pagination 861-866
29 schema:productId N088c1fc5d59642a684590d242bbc4b77
30 N25d1a976afea4a8290b671140567a90c
31 Nabba1c91180041ddad1349be2acfc1ff
32 Nd53b7e8ea9cc48aba559188db44713c3
33 Nd8aee29648574afcaf7f1ae70dbaedee
34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023563560
35 https://doi.org/10.1007/s002590000258
36 schema:sdDatePublished 2019-04-10T13:16
37 schema:sdLicense https://scigraph.springernature.com/explorer/license/
38 schema:sdPublisher Ncb2354b4f2f24f358f5a422c5ab11cb7
39 schema:url http://link.springer.com/10.1007%2Fs002590000258
40 sgo:license sg:explorer/license/
41 sgo:sdDataset articles
42 rdf:type schema:ScholarlyArticle
43 N088c1fc5d59642a684590d242bbc4b77 schema:name doi
44 schema:value 10.1007/s002590000258
45 rdf:type schema:PropertyValue
46 N25bc8aa6b90b454a989b5cc16dfa1c64 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
47 schema:name Lung Neoplasms
48 rdf:type schema:DefinedTerm
49 N25d1a976afea4a8290b671140567a90c schema:name pubmed_id
50 schema:value 10952499
51 rdf:type schema:PropertyValue
52 N336951d77f8e4c7fad99938da6a0e322 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
53 schema:name Radiotherapy Dosage
54 rdf:type schema:DefinedTerm
55 N339e52c79cf04fcba7e4a33a231f1a13 schema:volumeNumber 27
56 rdf:type schema:PublicationVolume
57 N3893f219a3b3451996d99e2ed0257aec schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
58 schema:name Humans
59 rdf:type schema:DefinedTerm
60 N39284517be2440c88a2aa9a313642402 rdf:first sg:person.013306534017.05
61 rdf:rest Nde1cfe70289f47238d508d74e36a6263
62 N4d8a867d36334c67b22dc1540f59f353 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
63 schema:name Tomography, Emission-Computed
64 rdf:type schema:DefinedTerm
65 N52b8bb47133c4c42becb115a4dc1ed00 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
66 schema:name Aged
67 rdf:type schema:DefinedTerm
68 N63fafa1a3c9f4c28a09610042bfe60f9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
69 schema:name Fluorodeoxyglucose F18
70 rdf:type schema:DefinedTerm
71 N7d0463164b0b4f2db73a92aadc043e14 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Female
73 rdf:type schema:DefinedTerm
74 Na3b5d48e7a4b420aa0499e91f22a6153 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Aged, 80 and over
76 rdf:type schema:DefinedTerm
77 Na664bc8c86d9423780f141586dbeb217 schema:issueNumber 7
78 rdf:type schema:PublicationIssue
79 Na6b0465540a04ae191201bb77cbd549e rdf:first sg:person.01320377707.42
80 rdf:rest Nb6bc1d35fb96477c96a0cb4b5c5c3397
81 Na72170220bed4801b5366efd8b4d68e2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Radiopharmaceuticals
83 rdf:type schema:DefinedTerm
84 Nabba1c91180041ddad1349be2acfc1ff schema:name dimensions_id
85 schema:value pub.1023563560
86 rdf:type schema:PropertyValue
87 Nb6bc1d35fb96477c96a0cb4b5c5c3397 rdf:first sg:person.0677650210.40
88 rdf:rest Ne831835ddcbc423c8aaaccda99d05b59
89 Ncb2354b4f2f24f358f5a422c5ab11cb7 schema:name Springer Nature - SN SciGraph project
90 rdf:type schema:Organization
91 Nd53b7e8ea9cc48aba559188db44713c3 schema:name nlm_unique_id
92 schema:value 7606882
93 rdf:type schema:PropertyValue
94 Nd8aee29648574afcaf7f1ae70dbaedee schema:name readcube_id
95 schema:value 7043926d4ca329c52ddc6834bbf7a3e0c789c9ef2706548a2b6fb83dcaf4f733
96 rdf:type schema:PropertyValue
97 Nde1cfe70289f47238d508d74e36a6263 rdf:first sg:person.01157147260.69
98 rdf:rest Nfa7d8fb34df14f3b8522ed66f7889870
99 Ne08c4968c7544a5ea06136e571276a62 rdf:first sg:person.01354307151.29
100 rdf:rest N39284517be2440c88a2aa9a313642402
101 Ne831835ddcbc423c8aaaccda99d05b59 rdf:first sg:person.01033137050.82
102 rdf:rest Ne08c4968c7544a5ea06136e571276a62
103 Nfa7d8fb34df14f3b8522ed66f7889870 rdf:first sg:person.01277520552.39
104 rdf:rest rdf:nil
105 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
106 schema:name Medical and Health Sciences
107 rdf:type schema:DefinedTerm
108 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
109 schema:name Oncology and Carcinogenesis
110 rdf:type schema:DefinedTerm
111 sg:journal.1297401 schema:issn 1619-7070
112 1619-7089
113 schema:name European Journal of Nuclear Medicine and Molecular Imaging
114 rdf:type schema:Periodical
115 sg:person.01033137050.82 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
116 schema:familyName Rosenzweig
117 schema:givenName Kenneth E.
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033137050.82
119 rdf:type schema:Person
120 sg:person.01157147260.69 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
121 schema:familyName Erdi
122 schema:givenName Alev K.
123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157147260.69
124 rdf:type schema:Person
125 sg:person.01277520552.39 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
126 schema:familyName Yorke
127 schema:givenName Ellen D.
128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01277520552.39
129 rdf:type schema:Person
130 sg:person.01320377707.42 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
131 schema:familyName Erdi
132 schema:givenName Yusuf E.
133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01320377707.42
134 rdf:type schema:Person
135 sg:person.013306534017.05 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
136 schema:familyName Larson
137 schema:givenName Steven M.
138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013306534017.05
139 rdf:type schema:Person
140 sg:person.01354307151.29 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
141 schema:familyName Humm
142 schema:givenName John L.
143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01354307151.29
144 rdf:type schema:Person
145 sg:person.0677650210.40 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
146 schema:familyName Macapinlac
147 schema:givenName Homer
148 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677650210.40
149 rdf:type schema:Person
150 https://doi.org/10.1016/0360-3016(90)90026-g schema:sameAs https://app.dimensions.ai/details/publication/pub.1028948175
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/0969-8051(96)00080-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034246117
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/s0167-8140(97)01907-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030783867
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/s0360-3016(96)00593-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040603769
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1097/00000421-199608000-00020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060113482
159 rdf:type schema:CreativeWork
160 https://www.grid.ac/institutes/grid.51462.34 schema:alternateName Memorial Sloan Kettering Cancer Center
161 schema:name Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, USA, US
162 Department of Radiation Oncology Memorial Sloan-Kettering Cancer Center, New York, USA, US
163 Department of Radiology, Nuclear Medicine Service, Memorial Sloan-Kettering Cancer Center, New York, USA, US
164 rdf:type schema:Organization
 




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


...