Recent Trends in PET Image Interpretations Using Volumetric and Texture-based Quantification Methods in Nuclear Oncology View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-01-22

AUTHORS

Muhammad Kashif Rahim, Sung Eun Kim, Hyeongryul So, Hyung Jun Kim, Gi Jeong Cheon, Eun Seong Lee, Keon Wook Kang, Dong Soo Lee

ABSTRACT

Image quantification studies in positron emission tomography/computed tomography (PET/CT) are of immense importance in the diagnosis and follow-up of variety of cancers. In this review we have described the current image quantification methodologies employed in 18F-fluorodeoxyglucose (18F-FDG) PET in major oncological conditions with particular emphasis on tumor heterogeneity studies. We have described various quantitative parameters being used in PET image analysis. The main contemporary methodology is to measure tumor metabolic activity; however, analysis of other image-related parameters is also increasing. Primarily, we have identified the existing role of tumor heterogeneity studies in major cancers using 18F-FDG PET. We have also described some newer radiopharmaceuticals other than 18F-FDG being studied/used in the management of these cancers. Tumor heterogeneity studies are being performed in almost all major oncological conditions using 18F-FDG PET. The role of these studies is very promising in the management of these conditions. More... »

PAGES

1-15

References to SciGraph publications

  • 2011-09-23. Prognostic value of metabolic tumor burden on 18F-FDG PET in nonsurgical patients with non-small cell lung cancer in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2012-06-05. Dual-time-point FDG PET/CT: Is It Useful for Lymph Node Staging in Patients with Non-Small-Cell Lung Cancer? in NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2013-01-23. Temporal analysis of intratumoral metabolic heterogeneity characterized by textural features in cervical cancer in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2004-02-19. PET with [18F]fluorothymidine for imaging of primary breast cancer: a pilot study in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2011-01-12. A new dimension of FDG-PET interpretation: assessment of tumor biology in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2010-11-16. Prognostic Value of Metabolic Tumor Volume Measured by 18F-FDG PET/CT in Locally Advanced Head and Neck Squamous Cell Carcinomas Treated by Surgery in NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2012-09-05. Metabolic Tumor Volume Measured by F-18 FDG PET/CT can Further Stratify the Prognosis of Patients with Stage IV Non-Small Cell Lung Cancer in NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2011-08-13. Importance of Quantification for the Analysis of PET Data in Oncology: Review of Current Methods and Trends for the Future in MOLECULAR IMAGING AND BIOLOGY
  • 2010-01-21. FDG-PET and other imaging modalities for the evaluation of breast cancer recurrence and metastases: a meta-analysis in JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
  • 2003-03-11. [18F]FMISO and [18F]FDG PET imaging in soft tissue sarcomas: correlation of hypoxia, metabolism and VEGF expression in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 1996-12. Prospective evaluation of fluorine-18 fluorodeoxyclucose positron emission tomography in breast cancer for staging of the axilla related to surgery and immunocytochemistry in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2010-07-08. 18F-FAMT-PET Is Useful for the Diagnosis of Lymph Node Metastasis in Operable Esophageal Squamous Cell Carcinoma in ANNALS OF SURGICAL ONCOLOGY
  • 2006-11. PET kinetic analysis—compartmental model in ANNALS OF NUCLEAR MEDICINE
  • 2013-07-16. Robustness of intratumour 18F-FDG PET uptake heterogeneity quantification for therapy response prediction in oesophageal carcinoma in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2012-06-13. Dual-time-point F-18 FDG PET/CT for evaluation in patients with malignant lymphoma in ANNALS OF NUCLEAR MEDICINE
  • 2009-09-30. Pre-therapy 18F-FDG PET quantitative parameters help in predicting the response to radioimmunotherapy in non-Hodgkin lymphoma in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2009-10-14. Prognostic Value of Metabolic Tumor Volume Measured by 18F-Fluorodeoxyglucose Positron Emission Tomography in Patients with Esophageal Carcinoma in ANNALS OF SURGICAL ONCOLOGY
  • 2011-12-21. Intratumoral heterogeneity of F-18 FDG uptake differentiates between gastrointestinal stromal tumors and abdominal malignant lymphomas on PET/CT in ANNALS OF NUCLEAR MEDICINE
  • 2007-04-13. Comparison of Molecular Markers of Hypoxia and Imaging with 60Cu-ATSM in Cancer of the Uterine Cervix in MOLECULAR IMAGING AND BIOLOGY
  • 2011-05-27. Evaluation of a cumulative SUV-volume histogram method for parameterizing heterogeneous intratumoural FDG uptake in non-small cell lung cancer PET studies in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2006. Prostate Tissue Characterization Using TRUS Image Spectral Features in IMAGE ANALYSIS AND RECOGNITION
  • 2012-11-17. Usefulness of Combined Metabolic–Volumetric Indices of 18F-FDG PET/CT for the Early Prediction of Neoadjuvant Chemotherapy Outcomes in Breast Cancer in NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2011-05-27. Standard uptake value and metabolic tumor volume of 18F-FDG PET/CT predict short-term outcome early in the course of chemoradiotherapy in advanced non-small cell lung cancer in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2012-10-13. Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2012-08-25. Prognostic Significance of Metabolic Tumor Volume Measured by 18F-FDG PET/CT in Operable Primary Breast Cancer in NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2012-12-12. Evaluation of intratumoural heterogeneity on 18F-FDG PET/CT for characterization of peripheral nerve sheath tumours in neurofibromatosis type 1 in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2012-10-24. Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? in INSIGHTS INTO IMAGING
  • 2004. PET, Molecular Imaging and Its Biological Applications in NONE
  • 2004-05-04. Biological characterisation of breast cancer by means of PET in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2011-11-17. PET imaging of patients with non-small cell lung cancer employing an EGF receptor targeting drug as tracer in BRITISH JOURNAL OF CANCER
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s13139-013-0260-2

    DOI

    http://dx.doi.org/10.1007/s13139-013-0260-2

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1046932155

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/24900133


    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/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Nuclear Medicine, Seoul National University Hospital, 101 Daehangro, 110-744, Jongno-gu, Seoul, Korea", 
              "id": "http://www.grid.ac/institutes/grid.412484.f", 
              "name": [
                "Fellowship of Koh Chang Soon Program, Seoul National University College of Medicine, Seoul, Korea", 
                "Department of Nuclear Medicine, Multan Institute of Nuclear Medicine and Radiotherapy, Nishtar Medical College and Hospital, Multan, Pakistan", 
                "Department of Nuclear Medicine, Seoul National University Hospital, 101 Daehangro, 110-744, Jongno-gu, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rahim", 
            "givenName": "Muhammad Kashif", 
            "id": "sg:person.01166745054.73", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01166745054.73"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Elective Course of Medical Education Program, Seoul National University College of Medicine, Seoul, Korea", 
              "id": "http://www.grid.ac/institutes/grid.31501.36", 
              "name": [
                "Elective Course of Medical Education Program, Seoul National University College of Medicine, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kim", 
            "givenName": "Sung Eun", 
            "id": "sg:person.0745420225.83", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0745420225.83"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Elective Course of Medical Education Program, Seoul National University College of Medicine, Seoul, Korea", 
              "id": "http://www.grid.ac/institutes/grid.31501.36", 
              "name": [
                "Elective Course of Medical Education Program, Seoul National University College of Medicine, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "So", 
            "givenName": "Hyeongryul", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Elective Course of Medical Education Program, Seoul National University College of Medicine, Seoul, Korea", 
              "id": "http://www.grid.ac/institutes/grid.31501.36", 
              "name": [
                "Elective Course of Medical Education Program, Seoul National University College of Medicine, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kim", 
            "givenName": "Hyung Jun", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Nuclear Medicine, Seoul National University Hospital, 101 Daehangro, 110-744, Jongno-gu, Seoul, Korea", 
              "id": "http://www.grid.ac/institutes/grid.412484.f", 
              "name": [
                "Department of Nuclear Medicine, Seoul National University Hospital, 101 Daehangro, 110-744, Jongno-gu, Seoul, 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 Hospital, 101 Daehangro, 110-744, Jongno-gu, Seoul, Korea", 
              "id": "http://www.grid.ac/institutes/grid.412484.f", 
              "name": [
                "Department of Nuclear Medicine, Seoul National University Hospital, 101 Daehangro, 110-744, Jongno-gu, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lee", 
            "givenName": "Eun Seong", 
            "id": "sg:person.01347673632.48", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347673632.48"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Nuclear Medicine, Seoul National University Hospital, 101 Daehangro, 110-744, Jongno-gu, Seoul, Korea", 
              "id": "http://www.grid.ac/institutes/grid.412484.f", 
              "name": [
                "Department of Nuclear Medicine, Seoul National University Hospital, 101 Daehangro, 110-744, Jongno-gu, Seoul, 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 Hospital, 101 Daehangro, 110-744, Jongno-gu, Seoul, Korea", 
              "id": "http://www.grid.ac/institutes/grid.412484.f", 
              "name": [
                "Department of Nuclear Medicine, Seoul National University Hospital, 101 Daehangro, 110-744, Jongno-gu, Seoul, 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/s00259-012-2247-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051316850", 
              "https://doi.org/10.1007/s00259-012-2247-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01249621", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009565440", 
              "https://doi.org/10.1007/bf01249621"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-013-2486-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009685629", 
              "https://doi.org/10.1007/s00259-013-2486-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/11867661_53", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023047586", 
              "https://doi.org/10.1007/11867661_53"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1245/s10434-010-1177-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053612455", 
              "https://doi.org/10.1245/s10434-010-1177-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-0-387-22529-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027245371", 
              "https://doi.org/10.1007/978-0-387-22529-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13139-012-0181-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052133048", 
              "https://doi.org/10.1007/s13139-012-0181-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13139-012-0141-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015167552", 
              "https://doi.org/10.1007/s13139-012-0141-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-010-1713-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025957649", 
              "https://doi.org/10.1007/s00259-010-1713-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-011-1845-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046474629", 
              "https://doi.org/10.1007/s00259-011-1845-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11307-011-0514-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004609723", 
              "https://doi.org/10.1007/s11307-011-0514-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/bjc.2011.493", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043204178", 
              "https://doi.org/10.1038/bjc.2011.493"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12149-011-0562-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018547154", 
              "https://doi.org/10.1007/s12149-011-0562-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1245/s10434-009-0719-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022874094", 
              "https://doi.org/10.1245/s10434-009-0719-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-002-1096-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044434120", 
              "https://doi.org/10.1007/s00259-002-1096-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-012-2314-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035398400", 
              "https://doi.org/10.1007/s00259-012-2314-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00432-009-0746-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031297972", 
              "https://doi.org/10.1007/s00432-009-0746-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13139-010-0063-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047786893", 
              "https://doi.org/10.1007/s13139-010-0063-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13244-012-0196-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036528660", 
              "https://doi.org/10.1007/s13244-012-0196-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-011-1934-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026699189", 
              "https://doi.org/10.1007/s00259-011-1934-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13139-012-0165-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004057562", 
              "https://doi.org/10.1007/s13139-012-0165-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12149-012-0619-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007529054", 
              "https://doi.org/10.1007/s12149-012-0619-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-004-1462-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014342296", 
              "https://doi.org/10.1007/s00259-004-1462-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11307-007-0095-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007280283", 
              "https://doi.org/10.1007/s11307-007-0095-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02984655", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019142203", 
              "https://doi.org/10.1007/bf02984655"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-009-1275-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009317866", 
              "https://doi.org/10.1007/s00259-009-1275-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13139-012-0161-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035574812", 
              "https://doi.org/10.1007/s13139-012-0161-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-004-1529-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021045604", 
              "https://doi.org/10.1007/s00259-004-1529-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-011-1838-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001884653", 
              "https://doi.org/10.1007/s00259-011-1838-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-012-2332-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004417333", 
              "https://doi.org/10.1007/s00259-012-2332-4"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2014-01-22", 
        "datePublishedReg": "2014-01-22", 
        "description": "Image quantification studies in positron emission tomography/computed tomography (PET/CT) are of immense importance in the diagnosis and follow-up of variety of cancers. In this review we have described the current image quantification methodologies employed in 18F-fluorodeoxyglucose (18F-FDG) PET in major oncological conditions with particular emphasis on tumor heterogeneity studies. We have described various quantitative parameters being used in PET image analysis. The main contemporary methodology is to measure tumor metabolic activity; however, analysis of other image-related parameters is also increasing. Primarily, we have identified the existing role of tumor heterogeneity studies in major cancers using 18F-FDG PET. We have also described some newer radiopharmaceuticals other than 18F-FDG being studied/used in the management of these cancers. Tumor heterogeneity studies are being performed in almost all major oncological conditions using 18F-FDG PET. The role of these studies is very promising in the management of these conditions.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s13139-013-0260-2", 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1016285", 
            "issn": [
              "1869-3474", 
              "1869-3482"
            ], 
            "name": "Nuclear Medicine and Molecular Imaging", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "48"
          }
        ], 
        "keywords": [
          "oncological conditions", 
          "positron emission tomography/", 
          "tumor metabolic activity", 
          "emission tomography/", 
          "variety of cancers", 
          "PET image interpretation", 
          "tomography/", 
          "major cancers", 
          "nuclear oncology", 
          "cancer", 
          "PET image analysis", 
          "new radiopharmaceuticals", 
          "metabolic activity", 
          "PET", 
          "quantitative parameters", 
          "study", 
          "diagnosis", 
          "oncology", 
          "tomography", 
          "management", 
          "tumor heterogeneity studies", 
          "volumetric", 
          "role", 
          "radiopharmaceuticals", 
          "heterogeneity studies", 
          "review", 
          "image interpretation", 
          "particular emphasis", 
          "image-related parameters", 
          "activity", 
          "quantification studies", 
          "image analysis", 
          "analysis", 
          "quantification method", 
          "recent trends", 
          "conditions", 
          "immense importance", 
          "importance", 
          "contemporary methodologies", 
          "variety", 
          "trends", 
          "emphasis", 
          "parameters", 
          "method", 
          "interpretation", 
          "quantification methodology", 
          "methodology"
        ], 
        "name": "Recent Trends in PET Image Interpretations Using Volumetric and Texture-based Quantification Methods in Nuclear Oncology", 
        "pagination": "1-15", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1046932155"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s13139-013-0260-2"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "24900133"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s13139-013-0260-2", 
          "https://app.dimensions.ai/details/publication/pub.1046932155"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-11-24T20:58", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/article/article_630.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s13139-013-0260-2"
      }
    ]
     

    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/s13139-013-0260-2'

    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/s13139-013-0260-2'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13139-013-0260-2'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13139-013-0260-2'


     

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

    280 TRIPLES      21 PREDICATES      102 URIs      64 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s13139-013-0260-2 schema:about anzsrc-for:08
    2 anzsrc-for:0801
    3 schema:author Ncd17b9fbec29459a8162112ae91946e6
    4 schema:citation sg:pub.10.1007/11867661_53
    5 sg:pub.10.1007/978-0-387-22529-6
    6 sg:pub.10.1007/bf01249621
    7 sg:pub.10.1007/bf02984655
    8 sg:pub.10.1007/s00259-002-1096-7
    9 sg:pub.10.1007/s00259-004-1462-8
    10 sg:pub.10.1007/s00259-004-1529-6
    11 sg:pub.10.1007/s00259-009-1275-x
    12 sg:pub.10.1007/s00259-010-1713-9
    13 sg:pub.10.1007/s00259-011-1838-5
    14 sg:pub.10.1007/s00259-011-1845-6
    15 sg:pub.10.1007/s00259-011-1934-6
    16 sg:pub.10.1007/s00259-012-2247-0
    17 sg:pub.10.1007/s00259-012-2314-6
    18 sg:pub.10.1007/s00259-012-2332-4
    19 sg:pub.10.1007/s00259-013-2486-8
    20 sg:pub.10.1007/s00432-009-0746-6
    21 sg:pub.10.1007/s11307-007-0095-2
    22 sg:pub.10.1007/s11307-011-0514-2
    23 sg:pub.10.1007/s12149-011-0562-3
    24 sg:pub.10.1007/s12149-012-0619-y
    25 sg:pub.10.1007/s13139-010-0063-7
    26 sg:pub.10.1007/s13139-012-0141-0
    27 sg:pub.10.1007/s13139-012-0161-9
    28 sg:pub.10.1007/s13139-012-0165-5
    29 sg:pub.10.1007/s13139-012-0181-5
    30 sg:pub.10.1007/s13244-012-0196-6
    31 sg:pub.10.1038/bjc.2011.493
    32 sg:pub.10.1245/s10434-009-0719-7
    33 sg:pub.10.1245/s10434-010-1177-y
    34 schema:datePublished 2014-01-22
    35 schema:datePublishedReg 2014-01-22
    36 schema:description Image quantification studies in positron emission tomography/computed tomography (PET/CT) are of immense importance in the diagnosis and follow-up of variety of cancers. In this review we have described the current image quantification methodologies employed in 18F-fluorodeoxyglucose (18F-FDG) PET in major oncological conditions with particular emphasis on tumor heterogeneity studies. We have described various quantitative parameters being used in PET image analysis. The main contemporary methodology is to measure tumor metabolic activity; however, analysis of other image-related parameters is also increasing. Primarily, we have identified the existing role of tumor heterogeneity studies in major cancers using 18F-FDG PET. We have also described some newer radiopharmaceuticals other than 18F-FDG being studied/used in the management of these cancers. Tumor heterogeneity studies are being performed in almost all major oncological conditions using 18F-FDG PET. The role of these studies is very promising in the management of these conditions.
    37 schema:genre article
    38 schema:isAccessibleForFree true
    39 schema:isPartOf N3be899c5d06648b7bbf3174cfcb2d279
    40 Na456f03b500d4e719ad2f953f09667ec
    41 sg:journal.1016285
    42 schema:keywords PET
    43 PET image analysis
    44 PET image interpretation
    45 activity
    46 analysis
    47 cancer
    48 conditions
    49 contemporary methodologies
    50 diagnosis
    51 emission tomography/
    52 emphasis
    53 heterogeneity studies
    54 image analysis
    55 image interpretation
    56 image-related parameters
    57 immense importance
    58 importance
    59 interpretation
    60 major cancers
    61 management
    62 metabolic activity
    63 method
    64 methodology
    65 new radiopharmaceuticals
    66 nuclear oncology
    67 oncological conditions
    68 oncology
    69 parameters
    70 particular emphasis
    71 positron emission tomography/
    72 quantification method
    73 quantification methodology
    74 quantification studies
    75 quantitative parameters
    76 radiopharmaceuticals
    77 recent trends
    78 review
    79 role
    80 study
    81 tomography
    82 tomography/
    83 trends
    84 tumor heterogeneity studies
    85 tumor metabolic activity
    86 variety
    87 variety of cancers
    88 volumetric
    89 schema:name Recent Trends in PET Image Interpretations Using Volumetric and Texture-based Quantification Methods in Nuclear Oncology
    90 schema:pagination 1-15
    91 schema:productId N0e0b6d46638c4fcab325172fcf2a98ee
    92 N5e1dcff4e05a41b4ac8073017672e62e
    93 N80b99524faff4229ba1b9f330bb17f17
    94 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046932155
    95 https://doi.org/10.1007/s13139-013-0260-2
    96 schema:sdDatePublished 2022-11-24T20:58
    97 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    98 schema:sdPublisher N3cf8f41518684f12aba36f86466d03e8
    99 schema:url https://doi.org/10.1007/s13139-013-0260-2
    100 sgo:license sg:explorer/license/
    101 sgo:sdDataset articles
    102 rdf:type schema:ScholarlyArticle
    103 N0e0b6d46638c4fcab325172fcf2a98ee schema:name pubmed_id
    104 schema:value 24900133
    105 rdf:type schema:PropertyValue
    106 N2ab06aa43e8944179b700c3e58456fa2 rdf:first sg:person.0761746266.86
    107 rdf:rest N9a8ce2090479407199d5a177a0985ecb
    108 N3be899c5d06648b7bbf3174cfcb2d279 schema:volumeNumber 48
    109 rdf:type schema:PublicationVolume
    110 N3cf8f41518684f12aba36f86466d03e8 schema:name Springer Nature - SN SciGraph project
    111 rdf:type schema:Organization
    112 N5476098cd65a4036951c1b5db50dd23e schema:affiliation grid-institutes:grid.31501.36
    113 schema:familyName So
    114 schema:givenName Hyeongryul
    115 rdf:type schema:Person
    116 N5e1dcff4e05a41b4ac8073017672e62e schema:name doi
    117 schema:value 10.1007/s13139-013-0260-2
    118 rdf:type schema:PropertyValue
    119 N67e393d1e5814b2a90a5f44e3ce2e0d1 rdf:first N5476098cd65a4036951c1b5db50dd23e
    120 rdf:rest N75c7b8be1b1140eca89ae230c85e2f04
    121 N75c7b8be1b1140eca89ae230c85e2f04 rdf:first N972733fd1ad94c5da00f4f9a739b3faf
    122 rdf:rest N76a5b98840b94f28987a72ba4eeb55a7
    123 N76a5b98840b94f28987a72ba4eeb55a7 rdf:first sg:person.01333472502.31
    124 rdf:rest N7cf85118d0d747389c381be7a76dcfc1
    125 N7cf85118d0d747389c381be7a76dcfc1 rdf:first sg:person.01347673632.48
    126 rdf:rest N2ab06aa43e8944179b700c3e58456fa2
    127 N80b99524faff4229ba1b9f330bb17f17 schema:name dimensions_id
    128 schema:value pub.1046932155
    129 rdf:type schema:PropertyValue
    130 N972733fd1ad94c5da00f4f9a739b3faf schema:affiliation grid-institutes:grid.31501.36
    131 schema:familyName Kim
    132 schema:givenName Hyung Jun
    133 rdf:type schema:Person
    134 N9a8ce2090479407199d5a177a0985ecb rdf:first sg:person.015617314175.88
    135 rdf:rest rdf:nil
    136 Na456f03b500d4e719ad2f953f09667ec schema:issueNumber 1
    137 rdf:type schema:PublicationIssue
    138 Ncd17b9fbec29459a8162112ae91946e6 rdf:first sg:person.01166745054.73
    139 rdf:rest Nd871e582738f499c8607e63c3012e252
    140 Nd871e582738f499c8607e63c3012e252 rdf:first sg:person.0745420225.83
    141 rdf:rest N67e393d1e5814b2a90a5f44e3ce2e0d1
    142 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    143 schema:name Information and Computing Sciences
    144 rdf:type schema:DefinedTerm
    145 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    146 schema:name Artificial Intelligence and Image Processing
    147 rdf:type schema:DefinedTerm
    148 sg:journal.1016285 schema:issn 1869-3474
    149 1869-3482
    150 schema:name Nuclear Medicine and Molecular Imaging
    151 schema:publisher Springer Nature
    152 rdf:type schema:Periodical
    153 sg:person.01166745054.73 schema:affiliation grid-institutes:grid.412484.f
    154 schema:familyName Rahim
    155 schema:givenName Muhammad Kashif
    156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01166745054.73
    157 rdf:type schema:Person
    158 sg:person.01333472502.31 schema:affiliation grid-institutes:grid.412484.f
    159 schema:familyName Cheon
    160 schema:givenName Gi Jeong
    161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01333472502.31
    162 rdf:type schema:Person
    163 sg:person.01347673632.48 schema:affiliation grid-institutes:grid.412484.f
    164 schema:familyName Lee
    165 schema:givenName Eun Seong
    166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347673632.48
    167 rdf:type schema:Person
    168 sg:person.015617314175.88 schema:affiliation grid-institutes:grid.412484.f
    169 schema:familyName Lee
    170 schema:givenName Dong Soo
    171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015617314175.88
    172 rdf:type schema:Person
    173 sg:person.0745420225.83 schema:affiliation grid-institutes:grid.31501.36
    174 schema:familyName Kim
    175 schema:givenName Sung Eun
    176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0745420225.83
    177 rdf:type schema:Person
    178 sg:person.0761746266.86 schema:affiliation grid-institutes:grid.412484.f
    179 schema:familyName Kang
    180 schema:givenName Keon Wook
    181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761746266.86
    182 rdf:type schema:Person
    183 sg:pub.10.1007/11867661_53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023047586
    184 https://doi.org/10.1007/11867661_53
    185 rdf:type schema:CreativeWork
    186 sg:pub.10.1007/978-0-387-22529-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027245371
    187 https://doi.org/10.1007/978-0-387-22529-6
    188 rdf:type schema:CreativeWork
    189 sg:pub.10.1007/bf01249621 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009565440
    190 https://doi.org/10.1007/bf01249621
    191 rdf:type schema:CreativeWork
    192 sg:pub.10.1007/bf02984655 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019142203
    193 https://doi.org/10.1007/bf02984655
    194 rdf:type schema:CreativeWork
    195 sg:pub.10.1007/s00259-002-1096-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044434120
    196 https://doi.org/10.1007/s00259-002-1096-7
    197 rdf:type schema:CreativeWork
    198 sg:pub.10.1007/s00259-004-1462-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014342296
    199 https://doi.org/10.1007/s00259-004-1462-8
    200 rdf:type schema:CreativeWork
    201 sg:pub.10.1007/s00259-004-1529-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021045604
    202 https://doi.org/10.1007/s00259-004-1529-6
    203 rdf:type schema:CreativeWork
    204 sg:pub.10.1007/s00259-009-1275-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1009317866
    205 https://doi.org/10.1007/s00259-009-1275-x
    206 rdf:type schema:CreativeWork
    207 sg:pub.10.1007/s00259-010-1713-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025957649
    208 https://doi.org/10.1007/s00259-010-1713-9
    209 rdf:type schema:CreativeWork
    210 sg:pub.10.1007/s00259-011-1838-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001884653
    211 https://doi.org/10.1007/s00259-011-1838-5
    212 rdf:type schema:CreativeWork
    213 sg:pub.10.1007/s00259-011-1845-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046474629
    214 https://doi.org/10.1007/s00259-011-1845-6
    215 rdf:type schema:CreativeWork
    216 sg:pub.10.1007/s00259-011-1934-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026699189
    217 https://doi.org/10.1007/s00259-011-1934-6
    218 rdf:type schema:CreativeWork
    219 sg:pub.10.1007/s00259-012-2247-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051316850
    220 https://doi.org/10.1007/s00259-012-2247-0
    221 rdf:type schema:CreativeWork
    222 sg:pub.10.1007/s00259-012-2314-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035398400
    223 https://doi.org/10.1007/s00259-012-2314-6
    224 rdf:type schema:CreativeWork
    225 sg:pub.10.1007/s00259-012-2332-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004417333
    226 https://doi.org/10.1007/s00259-012-2332-4
    227 rdf:type schema:CreativeWork
    228 sg:pub.10.1007/s00259-013-2486-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009685629
    229 https://doi.org/10.1007/s00259-013-2486-8
    230 rdf:type schema:CreativeWork
    231 sg:pub.10.1007/s00432-009-0746-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031297972
    232 https://doi.org/10.1007/s00432-009-0746-6
    233 rdf:type schema:CreativeWork
    234 sg:pub.10.1007/s11307-007-0095-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007280283
    235 https://doi.org/10.1007/s11307-007-0095-2
    236 rdf:type schema:CreativeWork
    237 sg:pub.10.1007/s11307-011-0514-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004609723
    238 https://doi.org/10.1007/s11307-011-0514-2
    239 rdf:type schema:CreativeWork
    240 sg:pub.10.1007/s12149-011-0562-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018547154
    241 https://doi.org/10.1007/s12149-011-0562-3
    242 rdf:type schema:CreativeWork
    243 sg:pub.10.1007/s12149-012-0619-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1007529054
    244 https://doi.org/10.1007/s12149-012-0619-y
    245 rdf:type schema:CreativeWork
    246 sg:pub.10.1007/s13139-010-0063-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047786893
    247 https://doi.org/10.1007/s13139-010-0063-7
    248 rdf:type schema:CreativeWork
    249 sg:pub.10.1007/s13139-012-0141-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015167552
    250 https://doi.org/10.1007/s13139-012-0141-0
    251 rdf:type schema:CreativeWork
    252 sg:pub.10.1007/s13139-012-0161-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035574812
    253 https://doi.org/10.1007/s13139-012-0161-9
    254 rdf:type schema:CreativeWork
    255 sg:pub.10.1007/s13139-012-0165-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004057562
    256 https://doi.org/10.1007/s13139-012-0165-5
    257 rdf:type schema:CreativeWork
    258 sg:pub.10.1007/s13139-012-0181-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052133048
    259 https://doi.org/10.1007/s13139-012-0181-5
    260 rdf:type schema:CreativeWork
    261 sg:pub.10.1007/s13244-012-0196-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036528660
    262 https://doi.org/10.1007/s13244-012-0196-6
    263 rdf:type schema:CreativeWork
    264 sg:pub.10.1038/bjc.2011.493 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043204178
    265 https://doi.org/10.1038/bjc.2011.493
    266 rdf:type schema:CreativeWork
    267 sg:pub.10.1245/s10434-009-0719-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022874094
    268 https://doi.org/10.1245/s10434-009-0719-7
    269 rdf:type schema:CreativeWork
    270 sg:pub.10.1245/s10434-010-1177-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1053612455
    271 https://doi.org/10.1245/s10434-010-1177-y
    272 rdf:type schema:CreativeWork
    273 grid-institutes:grid.31501.36 schema:alternateName Elective Course of Medical Education Program, Seoul National University College of Medicine, Seoul, Korea
    274 schema:name Elective Course of Medical Education Program, Seoul National University College of Medicine, Seoul, Korea
    275 rdf:type schema:Organization
    276 grid-institutes:grid.412484.f schema:alternateName Department of Nuclear Medicine, Seoul National University Hospital, 101 Daehangro, 110-744, Jongno-gu, Seoul, Korea
    277 schema:name Department of Nuclear Medicine, Multan Institute of Nuclear Medicine and Radiotherapy, Nishtar Medical College and Hospital, Multan, Pakistan
    278 Department of Nuclear Medicine, Seoul National University Hospital, 101 Daehangro, 110-744, Jongno-gu, Seoul, Korea
    279 Fellowship of Koh Chang Soon Program, Seoul National University College of Medicine, Seoul, Korea
    280 rdf:type schema:Organization
     




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


    ...