Evaluation of bone metastatic burden by bone SPECT/CT in metastatic prostate cancer patients: defining threshold value for total bone uptake ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-02

AUTHORS

Takuro Umeda, Mitsuru Koizumi, Shohei Fukai, Noriaki Miyaji, Kazuki Motegi, Shuto Nakazawa, Tomohiro Takiguchi

ABSTRACT

OBJECTIVES: To establish a new three-dimensional quantitative evaluation method for bone metastasis, we applied bone single photon emission tomography with computed tomography (SPECT/CT). The total bone uptake (TBU), which measures active bone metastatic burden, was calculated as the sum of [mean uptake obtained as standardized uptake value (SUV) above a cut-off level] × (the volume of the lesion) in the trunk using bone SPECT/CT. We studied the threshold value and utility of TBU in prostate cancer patients treated with radium-223 (Ra-223) therapy. METHODS: To establish the threshold value of TBU, we compared bone metastatic and non-metastatic regions in 61 prostate cancer patients with bone metastasis and 69 without. Five fixed sites in each patient were selected as evaluation points and divided into bone metastatic and non-metastatic sites. Sensitivity and specificity analysis was applied to establish the threshold level. Using the obtained threshold value, we then calculated the TBU in nine prostate cancer patients who received Ra-223 therapy, and compared the results with the bone scan index (BSI) by BONENAVI® and visual evaluation of bone scintigraphy. RESULTS: Uptake was significantly lower in non-metastatic sites in patients with bone metastasis than in patients without metastasis. Sensitivity and specificity analysis revealed SUV = 7.0 as the threshold level. There was a discrepancy between TBU and BSI change in two of the nine patients, in whom TBU change correlated with visual judgement, but BSI change did not. In two patients, BSI was nearly 0 throughout the course, but the TBU was positive and changed, although the change was not large. These results suggest that TBU may be more accurate and sensitive than BSI for quantitative evaluation of active bone metastatic burden. CONCLUSION: We established a threshold value (SUV > 7.0) for three-dimensional TBU for evaluating active bone metastatic burden in prostate cancer patients using bone SPECT/CT. Despite the small number of patients, we expect the change in TBU could be more accurate and sensitive than the change in BSI among patients who received Ra-223. More... »

PAGES

105-113

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12149-017-1224-x

DOI

http://dx.doi.org/10.1007/s12149-017-1224-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1099691272

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29243019


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": "Adult", 
        "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": "Biological Transport", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bone Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bone and Bones", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prostatic Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radium", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tumor Burden", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "The Cancer Institute Hospital", 
          "id": "https://www.grid.ac/institutes/grid.486756.e", 
          "name": [
            "Department of Nuclear Medicine, Cancer Institute Hospital, 3-8-11 Ariake, Koto-ku, 135-8550, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Umeda", 
        "givenName": "Takuro", 
        "id": "sg:person.0620575044.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0620575044.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cancer Institute Hospital", 
          "id": "https://www.grid.ac/institutes/grid.486756.e", 
          "name": [
            "Department of Nuclear Medicine, Cancer Institute Hospital, 3-8-11 Ariake, Koto-ku, 135-8550, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Koizumi", 
        "givenName": "Mitsuru", 
        "id": "sg:person.01022144614.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022144614.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cancer Institute Hospital", 
          "id": "https://www.grid.ac/institutes/grid.486756.e", 
          "name": [
            "Department of Nuclear Medicine, Cancer Institute Hospital, 3-8-11 Ariake, Koto-ku, 135-8550, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fukai", 
        "givenName": "Shohei", 
        "id": "sg:person.011102262333.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011102262333.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cancer Institute Hospital", 
          "id": "https://www.grid.ac/institutes/grid.486756.e", 
          "name": [
            "Department of Nuclear Medicine, Cancer Institute Hospital, 3-8-11 Ariake, Koto-ku, 135-8550, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miyaji", 
        "givenName": "Noriaki", 
        "id": "sg:person.01227752544.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227752544.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cancer Institute Hospital", 
          "id": "https://www.grid.ac/institutes/grid.486756.e", 
          "name": [
            "Department of Nuclear Medicine, Cancer Institute Hospital, 3-8-11 Ariake, Koto-ku, 135-8550, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Motegi", 
        "givenName": "Kazuki", 
        "id": "sg:person.01275010775.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01275010775.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cancer Institute Hospital", 
          "id": "https://www.grid.ac/institutes/grid.486756.e", 
          "name": [
            "Department of Nuclear Medicine, Cancer Institute Hospital, 3-8-11 Ariake, Koto-ku, 135-8550, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakazawa", 
        "givenName": "Shuto", 
        "id": "sg:person.012622551777.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012622551777.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cancer Institute Hospital", 
          "id": "https://www.grid.ac/institutes/grid.486756.e", 
          "name": [
            "Department of Nuclear Medicine, Cancer Institute Hospital, 3-8-11 Ariake, Koto-ku, 135-8550, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takiguchi", 
        "givenName": "Tomohiro", 
        "id": "sg:person.01257466106.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257466106.37"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/s13550-014-0058-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001580608", 
          "https://doi.org/10.1186/s13550-014-0058-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13550-014-0058-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001580608", 
          "https://doi.org/10.1186/s13550-014-0058-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mnm.0000000000000586", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002147377"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mnm.0000000000000586", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002147377"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2967/jnumed.115.158626", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002423959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1464-410x.2012.11355.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005704539"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13550-016-0217-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008024669", 
          "https://doi.org/10.1186/s13550-016-0217-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13550-016-0217-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008024669", 
          "https://doi.org/10.1186/s13550-016-0217-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2967/jnumed.108.055061", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015292115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2967/jnumed.109.071571", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017287941"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2011.36.5791", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020062832"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejca.2008.10.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026558254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0142(19880101)61:1<195::aid-cncr2820610133>3.0.co;2-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028158765"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/2191-219x-3-45", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030708550", 
          "https://doi.org/10.1186/2191-219x-3-45"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1651-2227.2006.00178.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041291354"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2967/jnumed.115.156026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041479934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-013-2542-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043113624", 
          "https://doi.org/10.1007/s00259-013-2542-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00006231-200605000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043735874"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00006231-200605000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043735874"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00006231-200605000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043735874"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2967/jnumed.112.111476", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043916417"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1213755", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046224838"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/2191-219x-3-83", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049594406", 
          "https://doi.org/10.1186/2191-219x-3-83"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12149-015-1021-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052963015", 
          "https://doi.org/10.1007/s12149-015-1021-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2015.64.2702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064204460"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079345000", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082623830", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083295747", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12149-017-1175-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085091274", 
          "https://doi.org/10.1007/s12149-017-1175-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12149-017-1175-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085091274", 
          "https://doi.org/10.1007/s12149-017-1175-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12194-017-0423-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092101406", 
          "https://doi.org/10.1007/s12194-017-0423-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/nssmic.2014.7430836", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094730077"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-02", 
    "datePublishedReg": "2018-02-01", 
    "description": "OBJECTIVES: To establish a new three-dimensional quantitative evaluation method for bone metastasis, we applied bone single photon emission tomography with computed tomography (SPECT/CT). The total bone uptake (TBU), which measures active bone metastatic burden, was calculated as the sum of [mean uptake obtained as standardized uptake value (SUV) above a cut-off level]\u2009\u00d7\u2009(the volume of the lesion) in the trunk using bone SPECT/CT. We studied the threshold value and utility of TBU in prostate cancer patients treated with radium-223 (Ra-223) therapy.\nMETHODS: To establish the threshold value of TBU, we compared bone metastatic and non-metastatic regions in 61 prostate cancer patients with bone metastasis and 69 without. Five fixed sites in each patient were selected as evaluation points and divided into bone metastatic and non-metastatic sites. Sensitivity and specificity analysis was applied to establish the threshold level. Using the obtained threshold value, we then calculated the TBU in nine prostate cancer patients who received Ra-223 therapy, and compared the results with the bone scan index (BSI) by BONENAVI\u00ae and visual evaluation of bone scintigraphy.\nRESULTS: Uptake was significantly lower in non-metastatic sites in patients with bone metastasis than in patients without metastasis. Sensitivity and specificity analysis revealed SUV\u2009=\u20097.0 as the threshold level. There was a discrepancy between TBU and BSI change in two of the nine patients, in whom TBU change correlated with visual judgement, but BSI change did not. In two patients, BSI was nearly 0 throughout the course, but the TBU was positive and changed, although the change was not large. These results suggest that TBU may be more accurate and sensitive than BSI for quantitative evaluation of active bone metastatic burden.\nCONCLUSION: We established a threshold value (SUV\u2009>\u20097.0) for three-dimensional TBU for evaluating active bone metastatic burden in prostate cancer patients using bone SPECT/CT. Despite the small number of patients, we expect the change in TBU could be more accurate and sensitive than the change in BSI among patients who received Ra-223.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12149-017-1224-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1099601", 
        "issn": [
          "0914-7187", 
          "1864-6433"
        ], 
        "name": "Annals of Nuclear Medicine", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "32"
      }
    ], 
    "name": "Evaluation of bone metastatic burden by bone SPECT/CT in metastatic prostate cancer patients: defining threshold value for total bone uptake and assessment in radium-223 treated patients", 
    "pagination": "105-113", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "016ac4481f79f7bb0790b681668acb4957ad213098f93b49d3d4471de5fc62ce"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29243019"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8913398"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12149-017-1224-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1099691272"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12149-017-1224-x", 
      "https://app.dimensions.ai/details/publication/pub.1099691272"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T13:25", 
    "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_00000552.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s12149-017-1224-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/s12149-017-1224-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/s12149-017-1224-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12149-017-1224-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12149-017-1224-x'


 

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

242 TRIPLES      21 PREDICATES      67 URIs      33 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12149-017-1224-x schema:about N2e35b33d0d0d47ff911e76249d6bf979
2 N3a78c60032804019acde65686a2990bc
3 N47e1630ad203445991ebafa8fa5164c7
4 Na3a6697b25a9441687c3832901227215
5 Na873bf2069994e93ac02aeaa890b8720
6 Na8b65b9a6c4a4dd1bba6c7547dfbe7ab
7 Nbdb1c10151134b769db61ccbd795f5f3
8 Nc58abbfba72842849fb31aec708bc16c
9 Nceb360329c3c4d2c8afccb622ab0c1c9
10 Nd3deaceb2a57451991659156176211aa
11 Nde42a8f728784a52a47160c197300fe8
12 Ne81bc66914a24a478a7e935888a0a139
13 anzsrc-for:11
14 anzsrc-for:1112
15 schema:author Ne5302e92490541659c07ffbf76058a39
16 schema:citation sg:pub.10.1007/s00259-013-2542-4
17 sg:pub.10.1007/s12149-015-1021-3
18 sg:pub.10.1007/s12149-017-1175-2
19 sg:pub.10.1007/s12194-017-0423-4
20 sg:pub.10.1186/2191-219x-3-45
21 sg:pub.10.1186/2191-219x-3-83
22 sg:pub.10.1186/s13550-014-0058-y
23 sg:pub.10.1186/s13550-016-0217-4
24 https://app.dimensions.ai/details/publication/pub.1079345000
25 https://app.dimensions.ai/details/publication/pub.1082623830
26 https://app.dimensions.ai/details/publication/pub.1083295747
27 https://doi.org/10.1002/1097-0142(19880101)61:1<195::aid-cncr2820610133>3.0.co;2-y
28 https://doi.org/10.1016/j.ejca.2008.10.026
29 https://doi.org/10.1056/nejmoa1213755
30 https://doi.org/10.1097/00006231-200605000-00002
31 https://doi.org/10.1097/mnm.0000000000000586
32 https://doi.org/10.1109/nssmic.2014.7430836
33 https://doi.org/10.1111/j.1464-410x.2012.11355.x
34 https://doi.org/10.1111/j.1651-2227.2006.00178.x
35 https://doi.org/10.1200/jco.2011.36.5791
36 https://doi.org/10.1200/jco.2015.64.2702
37 https://doi.org/10.2967/jnumed.108.055061
38 https://doi.org/10.2967/jnumed.109.071571
39 https://doi.org/10.2967/jnumed.112.111476
40 https://doi.org/10.2967/jnumed.115.156026
41 https://doi.org/10.2967/jnumed.115.158626
42 schema:datePublished 2018-02
43 schema:datePublishedReg 2018-02-01
44 schema:description OBJECTIVES: To establish a new three-dimensional quantitative evaluation method for bone metastasis, we applied bone single photon emission tomography with computed tomography (SPECT/CT). The total bone uptake (TBU), which measures active bone metastatic burden, was calculated as the sum of [mean uptake obtained as standardized uptake value (SUV) above a cut-off level] × (the volume of the lesion) in the trunk using bone SPECT/CT. We studied the threshold value and utility of TBU in prostate cancer patients treated with radium-223 (Ra-223) therapy. METHODS: To establish the threshold value of TBU, we compared bone metastatic and non-metastatic regions in 61 prostate cancer patients with bone metastasis and 69 without. Five fixed sites in each patient were selected as evaluation points and divided into bone metastatic and non-metastatic sites. Sensitivity and specificity analysis was applied to establish the threshold level. Using the obtained threshold value, we then calculated the TBU in nine prostate cancer patients who received Ra-223 therapy, and compared the results with the bone scan index (BSI) by BONENAVI® and visual evaluation of bone scintigraphy. RESULTS: Uptake was significantly lower in non-metastatic sites in patients with bone metastasis than in patients without metastasis. Sensitivity and specificity analysis revealed SUV = 7.0 as the threshold level. There was a discrepancy between TBU and BSI change in two of the nine patients, in whom TBU change correlated with visual judgement, but BSI change did not. In two patients, BSI was nearly 0 throughout the course, but the TBU was positive and changed, although the change was not large. These results suggest that TBU may be more accurate and sensitive than BSI for quantitative evaluation of active bone metastatic burden. CONCLUSION: We established a threshold value (SUV > 7.0) for three-dimensional TBU for evaluating active bone metastatic burden in prostate cancer patients using bone SPECT/CT. Despite the small number of patients, we expect the change in TBU could be more accurate and sensitive than the change in BSI among patients who received Ra-223.
45 schema:genre research_article
46 schema:inLanguage en
47 schema:isAccessibleForFree true
48 schema:isPartOf N49645b36be8c4ad28caa72a9449aff31
49 N75bff2c8cc1d49fd8eef8c2c950a65ed
50 sg:journal.1099601
51 schema:name Evaluation of bone metastatic burden by bone SPECT/CT in metastatic prostate cancer patients: defining threshold value for total bone uptake and assessment in radium-223 treated patients
52 schema:pagination 105-113
53 schema:productId N25b5547841834c4c850231c0518b639a
54 N51794a4dead944fb9a6bd6d34e394ae3
55 N8b1a67c2431243c6adc2d84de022ec64
56 N8c879ea3a5574710b6ae3c620ea6a2d9
57 Nbb14317b8bfb4964b9f2b040ea04498b
58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099691272
59 https://doi.org/10.1007/s12149-017-1224-x
60 schema:sdDatePublished 2019-04-10T13:25
61 schema:sdLicense https://scigraph.springernature.com/explorer/license/
62 schema:sdPublisher Ndeec9336a1c945de9ca5dd3a8ddf55ce
63 schema:url http://link.springer.com/10.1007/s12149-017-1224-x
64 sgo:license sg:explorer/license/
65 sgo:sdDataset articles
66 rdf:type schema:ScholarlyArticle
67 N25b5547841834c4c850231c0518b639a schema:name nlm_unique_id
68 schema:value 8913398
69 rdf:type schema:PropertyValue
70 N2e35b33d0d0d47ff911e76249d6bf979 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Bone and Bones
72 rdf:type schema:DefinedTerm
73 N3a78c60032804019acde65686a2990bc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Prostatic Neoplasms
75 rdf:type schema:DefinedTerm
76 N47e1630ad203445991ebafa8fa5164c7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Radium
78 rdf:type schema:DefinedTerm
79 N49645b36be8c4ad28caa72a9449aff31 schema:issueNumber 2
80 rdf:type schema:PublicationIssue
81 N51794a4dead944fb9a6bd6d34e394ae3 schema:name dimensions_id
82 schema:value pub.1099691272
83 rdf:type schema:PropertyValue
84 N7218b2e5b89a44e9b3b4f0dac129f52b rdf:first sg:person.011102262333.94
85 rdf:rest N7f602df040df4668b023b857f3a21f0a
86 N75bff2c8cc1d49fd8eef8c2c950a65ed schema:volumeNumber 32
87 rdf:type schema:PublicationVolume
88 N7be52fe8fc344013945655027eafffaa rdf:first sg:person.012622551777.22
89 rdf:rest Nb7dbffac27ba40388100052f39f78041
90 N7f602df040df4668b023b857f3a21f0a rdf:first sg:person.01227752544.81
91 rdf:rest Ne0e7718ec29f4c46a77c1834a2e9534d
92 N88eb14ae016941058552898869fd06f5 rdf:first sg:person.01022144614.14
93 rdf:rest N7218b2e5b89a44e9b3b4f0dac129f52b
94 N8b1a67c2431243c6adc2d84de022ec64 schema:name doi
95 schema:value 10.1007/s12149-017-1224-x
96 rdf:type schema:PropertyValue
97 N8c879ea3a5574710b6ae3c620ea6a2d9 schema:name readcube_id
98 schema:value 016ac4481f79f7bb0790b681668acb4957ad213098f93b49d3d4471de5fc62ce
99 rdf:type schema:PropertyValue
100 Na3a6697b25a9441687c3832901227215 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Adult
102 rdf:type schema:DefinedTerm
103 Na873bf2069994e93ac02aeaa890b8720 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Tumor Burden
105 rdf:type schema:DefinedTerm
106 Na8b65b9a6c4a4dd1bba6c7547dfbe7ab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Male
108 rdf:type schema:DefinedTerm
109 Nb7dbffac27ba40388100052f39f78041 rdf:first sg:person.01257466106.37
110 rdf:rest rdf:nil
111 Nbb14317b8bfb4964b9f2b040ea04498b schema:name pubmed_id
112 schema:value 29243019
113 rdf:type schema:PropertyValue
114 Nbdb1c10151134b769db61ccbd795f5f3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Bone Neoplasms
116 rdf:type schema:DefinedTerm
117 Nc58abbfba72842849fb31aec708bc16c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Humans
119 rdf:type schema:DefinedTerm
120 Nceb360329c3c4d2c8afccb622ab0c1c9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Middle Aged
122 rdf:type schema:DefinedTerm
123 Nd3deaceb2a57451991659156176211aa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Biological Transport
125 rdf:type schema:DefinedTerm
126 Nde42a8f728784a52a47160c197300fe8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Aged
128 rdf:type schema:DefinedTerm
129 Ndeec9336a1c945de9ca5dd3a8ddf55ce schema:name Springer Nature - SN SciGraph project
130 rdf:type schema:Organization
131 Ne0e7718ec29f4c46a77c1834a2e9534d rdf:first sg:person.01275010775.20
132 rdf:rest N7be52fe8fc344013945655027eafffaa
133 Ne5302e92490541659c07ffbf76058a39 rdf:first sg:person.0620575044.12
134 rdf:rest N88eb14ae016941058552898869fd06f5
135 Ne81bc66914a24a478a7e935888a0a139 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Aged, 80 and over
137 rdf:type schema:DefinedTerm
138 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
139 schema:name Medical and Health Sciences
140 rdf:type schema:DefinedTerm
141 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
142 schema:name Oncology and Carcinogenesis
143 rdf:type schema:DefinedTerm
144 sg:journal.1099601 schema:issn 0914-7187
145 1864-6433
146 schema:name Annals of Nuclear Medicine
147 rdf:type schema:Periodical
148 sg:person.01022144614.14 schema:affiliation https://www.grid.ac/institutes/grid.486756.e
149 schema:familyName Koizumi
150 schema:givenName Mitsuru
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022144614.14
152 rdf:type schema:Person
153 sg:person.011102262333.94 schema:affiliation https://www.grid.ac/institutes/grid.486756.e
154 schema:familyName Fukai
155 schema:givenName Shohei
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011102262333.94
157 rdf:type schema:Person
158 sg:person.01227752544.81 schema:affiliation https://www.grid.ac/institutes/grid.486756.e
159 schema:familyName Miyaji
160 schema:givenName Noriaki
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227752544.81
162 rdf:type schema:Person
163 sg:person.01257466106.37 schema:affiliation https://www.grid.ac/institutes/grid.486756.e
164 schema:familyName Takiguchi
165 schema:givenName Tomohiro
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257466106.37
167 rdf:type schema:Person
168 sg:person.012622551777.22 schema:affiliation https://www.grid.ac/institutes/grid.486756.e
169 schema:familyName Nakazawa
170 schema:givenName Shuto
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012622551777.22
172 rdf:type schema:Person
173 sg:person.01275010775.20 schema:affiliation https://www.grid.ac/institutes/grid.486756.e
174 schema:familyName Motegi
175 schema:givenName Kazuki
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01275010775.20
177 rdf:type schema:Person
178 sg:person.0620575044.12 schema:affiliation https://www.grid.ac/institutes/grid.486756.e
179 schema:familyName Umeda
180 schema:givenName Takuro
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0620575044.12
182 rdf:type schema:Person
183 sg:pub.10.1007/s00259-013-2542-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043113624
184 https://doi.org/10.1007/s00259-013-2542-4
185 rdf:type schema:CreativeWork
186 sg:pub.10.1007/s12149-015-1021-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052963015
187 https://doi.org/10.1007/s12149-015-1021-3
188 rdf:type schema:CreativeWork
189 sg:pub.10.1007/s12149-017-1175-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085091274
190 https://doi.org/10.1007/s12149-017-1175-2
191 rdf:type schema:CreativeWork
192 sg:pub.10.1007/s12194-017-0423-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092101406
193 https://doi.org/10.1007/s12194-017-0423-4
194 rdf:type schema:CreativeWork
195 sg:pub.10.1186/2191-219x-3-45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030708550
196 https://doi.org/10.1186/2191-219x-3-45
197 rdf:type schema:CreativeWork
198 sg:pub.10.1186/2191-219x-3-83 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049594406
199 https://doi.org/10.1186/2191-219x-3-83
200 rdf:type schema:CreativeWork
201 sg:pub.10.1186/s13550-014-0058-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1001580608
202 https://doi.org/10.1186/s13550-014-0058-y
203 rdf:type schema:CreativeWork
204 sg:pub.10.1186/s13550-016-0217-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008024669
205 https://doi.org/10.1186/s13550-016-0217-4
206 rdf:type schema:CreativeWork
207 https://app.dimensions.ai/details/publication/pub.1079345000 schema:CreativeWork
208 https://app.dimensions.ai/details/publication/pub.1082623830 schema:CreativeWork
209 https://app.dimensions.ai/details/publication/pub.1083295747 schema:CreativeWork
210 https://doi.org/10.1002/1097-0142(19880101)61:1<195::aid-cncr2820610133>3.0.co;2-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1028158765
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/j.ejca.2008.10.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026558254
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1056/nejmoa1213755 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046224838
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1097/00006231-200605000-00002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043735874
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1097/mnm.0000000000000586 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002147377
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1109/nssmic.2014.7430836 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094730077
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1111/j.1464-410x.2012.11355.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1005704539
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1111/j.1651-2227.2006.00178.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1041291354
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1200/jco.2011.36.5791 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020062832
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1200/jco.2015.64.2702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064204460
229 rdf:type schema:CreativeWork
230 https://doi.org/10.2967/jnumed.108.055061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015292115
231 rdf:type schema:CreativeWork
232 https://doi.org/10.2967/jnumed.109.071571 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017287941
233 rdf:type schema:CreativeWork
234 https://doi.org/10.2967/jnumed.112.111476 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043916417
235 rdf:type schema:CreativeWork
236 https://doi.org/10.2967/jnumed.115.156026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041479934
237 rdf:type schema:CreativeWork
238 https://doi.org/10.2967/jnumed.115.158626 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002423959
239 rdf:type schema:CreativeWork
240 https://www.grid.ac/institutes/grid.486756.e schema:alternateName The Cancer Institute Hospital
241 schema:name Department of Nuclear Medicine, Cancer Institute Hospital, 3-8-11 Ariake, Koto-ku, 135-8550, Tokyo, Japan
242 rdf:type schema:Organization
 




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


...