Application of Partial Volume Effect Correction and 4D PET in the Quantification of FDG Avid Lung Lesions View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-02

AUTHORS

Ali Salavati, Samuel Borofsky, Teo K. Boon-Keng, Sina Houshmand, Benjapa Khiewvan, Babak Saboury, Ion Codreanu, Drew A. Torigian, Habib Zaidi, Abass Alavi

ABSTRACT

PURPOSE: The aim of this study is to assess a software-based method with semiautomated correction for partial volume effect (PVE) to quantify the metabolic activity of pulmonary malignancies in patients who underwent non-gated and respiratory-gated 2-deoxy-2-[(18)F]fluoro-D-glucose (FDG)-positron emission tomography (PET)/x-ray computed tomography(CT). PROCEDURES: The study included 106 lesions of 55 lung cancer patients who underwent respiratory-gated FDG-PET/CT for radiation therapy treatment planning. Volumetric PET/CT parameters were determined by using 4D PET/CT and non-gated PET/CT images. We used a semiautomated program employing an adaptive contrast-oriented thresholding algorithm for lesion delineation as well as a lesion-based partial volume effect correction algorithm. We compared respiratory-gated parameters with non-gated parameters by using pairwise comparison and interclass correlation coefficient assessment. In a multivariable regression analysis, we also examined factors, which can affect quantification accuracy, including the size of lesion and the location of tumor. RESULTS: This study showed that quantification of volumetric parameters of 4D PET/CT images using an adaptive contrast-oriented thresholding algorithm and 3D lesion-based partial volume correction is feasible. We observed slight increase in FDG uptake by using PET/CT volumetric parameters in comparison of highest respiratory-gated values with non-gated values. After correction for partial volume effect, the mean standardized uptake value (SUVmean) and total lesion glycolysis (TLG) increased substantially (p value <0.001). However, we did not observe a clinically significant difference between partial volume corrected parameters of respiratory-gated and non-gated PET/CT scans. Regression analysis showed that tumor volume was the main predictor of quantification inaccuracy caused by partial volume effect. CONCLUSIONS: Based on this study, assessment of volumetric PET/CT parameters and partial volume effect correction for accurate quantification of lung malignant lesions by using respiratory non-gated PET images are feasible and it is comparable to gated measurements. Partial volume correction increased both the respiratory-gated and non-gated values significantly and appears to be the dominant source of quantification error of lung lesions. More... »

PAGES

140-148

References to SciGraph publications

  • 2008-03. Combined imaging of molecular function and morphology with PET/CT and SPECT/CT: Image fusion and motion correction in BASIC RESEARCH IN CARDIOLOGY
  • 2014-04. FDG PET/CT in Crohn’s disease: correlation of quantitative FDG PET/CT parameters with clinical and endoscopic surrogate markers of disease activity in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2014-02. Quantitative assessment of global lung inflammation following radiation therapy using FDG PET/CT: a pilot study in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2012-12. A method for model-free partial volume correction in oncological PET in EJNMMI RESEARCH
  • 2009-02. The effect of 18F-FDG-PET/CT respiratory gating on detected metabolic activity in lung lesions in ANNALS OF NUCLEAR MEDICINE
  • 2010-11. PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2002-12. Use of a corrected standardized uptake value based on the lesion size on CT permits accurate characterization of lung nodules on FDG-PET in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2008-11. Respiratory motion handling is mandatory to accomplish the high-resolution PET destiny in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2013-08. PET-based delineation of tumour volumes in lung cancer: comparison with pathological findings in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11307-014-0776-6

    DOI

    http://dx.doi.org/10.1007/s11307-014-0776-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1005950127

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/25080325


    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/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Algorithms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Automation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Contrast Media", 
            "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": "Image Processing, Computer-Assisted", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Lung", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Lung Neoplasms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Male", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Middle Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Motion", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Multimodal Imaging", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Multivariate Analysis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Positron-Emission Tomography", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Radiopharmaceuticals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Regression Analysis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Reproducibility of Results", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Respiration", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Tomography, X-Ray Computed", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Whole Body Imaging", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Hospital of the University of Pennsylvania", 
              "id": "https://www.grid.ac/institutes/grid.411115.1", 
              "name": [
                "Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Salavati", 
            "givenName": "Ali", 
            "id": "sg:person.0774653204.10", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0774653204.10"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Hospital of the University of Pennsylvania", 
              "id": "https://www.grid.ac/institutes/grid.411115.1", 
              "name": [
                "Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Borofsky", 
            "givenName": "Samuel", 
            "id": "sg:person.01355106402.62", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01355106402.62"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Hospital of the University of Pennsylvania", 
              "id": "https://www.grid.ac/institutes/grid.411115.1", 
              "name": [
                "Department of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Boon-Keng", 
            "givenName": "Teo K.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Hospital of the University of Pennsylvania", 
              "id": "https://www.grid.ac/institutes/grid.411115.1", 
              "name": [
                "Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Houshmand", 
            "givenName": "Sina", 
            "id": "sg:person.01044605774.07", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044605774.07"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Hospital of the University of Pennsylvania", 
              "id": "https://www.grid.ac/institutes/grid.411115.1", 
              "name": [
                "Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Khiewvan", 
            "givenName": "Benjapa", 
            "id": "sg:person.01276554062.91", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01276554062.91"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Hospital of the University of Pennsylvania", 
              "id": "https://www.grid.ac/institutes/grid.411115.1", 
              "name": [
                "Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Saboury", 
            "givenName": "Babak", 
            "id": "sg:person.01042766404.29", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01042766404.29"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Hospital of the University of Pennsylvania", 
              "id": "https://www.grid.ac/institutes/grid.411115.1", 
              "name": [
                "Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Codreanu", 
            "givenName": "Ion", 
            "id": "sg:person.0761176705.59", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761176705.59"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Hospital of the University of Pennsylvania", 
              "id": "https://www.grid.ac/institutes/grid.411115.1", 
              "name": [
                "Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Torigian", 
            "givenName": "Drew A.", 
            "id": "sg:person.01026611221.88", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026611221.88"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Geneva", 
              "id": "https://www.grid.ac/institutes/grid.8591.5", 
              "name": [
                "Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland", 
                "Geneva Neuroscience Center, Geneva University, CH-1211, Geneva, Switzerland", 
                "Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, 9700 RB, Groningen, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zaidi", 
            "givenName": "Habib", 
            "id": "sg:person.01300453230.34", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01300453230.34"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Hospital of the University of Pennsylvania", 
              "id": "https://www.grid.ac/institutes/grid.411115.1", 
              "name": [
                "Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Alavi", 
            "givenName": "Abass", 
            "id": "sg:person.013064447257.07", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013064447257.07"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1118/1.3112422", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000568645"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1053/j.semnuclmed.2008.01.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000754835"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2967/jnumed.111.093443", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002236986"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00395-008-0717-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002871231", 
              "https://doi.org/10.1007/s00395-008-0717-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00395-008-0717-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002871231", 
              "https://doi.org/10.1007/s00395-008-0717-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2967/jnumed.106.035774", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005435708"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1118/1.2192581", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005528187"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-002-0924-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012723639", 
              "https://doi.org/10.1007/s00259-002-0924-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1118/1.4766876", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013766657"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12149-008-0225-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013779505", 
              "https://doi.org/10.1007/s12149-008-0225-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-013-2625-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019034498", 
              "https://doi.org/10.1007/s00259-013-2625-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-013-2407-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020424181", 
              "https://doi.org/10.1007/s00259-013-2407-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cpet.2007.10.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022473250"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1118/1.3160108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022954868"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/mnm.0000000000000048", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024626081"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/mnm.0000000000000048", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024626081"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/mnm.0b013e32831af204", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024728759"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/mnm.0b013e32831af204", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024728759"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1118/1.3512780", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025260241"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1053/snuc.2003.127313", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034167044"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1053/snuc.2003.127313", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034167044"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2967/jnumed.107.049296", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034962756"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2967/jnumed.113.130138", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036012979"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2967/jnumed.108.050401", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037285767"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1053/j.semnuclmed.2007.01.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038419506"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1118/1.1809778", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038821018"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0140-6736(86)90837-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040287180"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0140-6736(86)90837-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040287180"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1118/1.3480508", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040437380"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-013-2579-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043290425", 
              "https://doi.org/10.1007/s00259-013-2579-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.0006-341x.2002.01020.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043529473"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.meddos.2005.12.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045263377"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0958-3947(02)00136-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045600171"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0958-3947(02)00136-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045600171"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1118/1.3483784", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047405637"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-008-0931-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048275554", 
              "https://doi.org/10.1007/s00259-008-0931-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-008-0931-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048275554", 
              "https://doi.org/10.1007/s00259-008-0931-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijrobp.2010.12.060", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048321974"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2967/jnumed.109.068759", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049790673"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/2191-219x-2-16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050768136", 
              "https://doi.org/10.1186/2191-219x-2-16"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-010-1423-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052969468", 
              "https://doi.org/10.1007/s00259-010-1423-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-010-1423-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052969468", 
              "https://doi.org/10.1007/s00259-010-1423-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tmi.2006.870892", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061694834"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/2532051", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069977481"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.7326/0003-4819-139-11-200311180-00013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1073706357"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1075081052", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1076875870", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1077344485", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/iembs.2007.4353254", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1077517472"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/02841850802627437", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1077825582"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/02841850802627437", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1077825582"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1078386463", 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2015-02", 
        "datePublishedReg": "2015-02-01", 
        "description": "PURPOSE: The aim of this study is to assess a software-based method with semiautomated correction for partial volume effect (PVE) to quantify the metabolic activity of pulmonary malignancies in patients who underwent non-gated and respiratory-gated 2-deoxy-2-[(18)F]fluoro-D-glucose (FDG)-positron emission tomography (PET)/x-ray computed tomography(CT).\nPROCEDURES: The study included 106 lesions of 55 lung cancer patients who underwent respiratory-gated FDG-PET/CT for radiation therapy treatment planning. Volumetric PET/CT parameters were determined by using 4D PET/CT and non-gated PET/CT images. We used a semiautomated program employing an adaptive contrast-oriented thresholding algorithm for lesion delineation as well as a lesion-based partial volume effect correction algorithm. We compared respiratory-gated parameters with non-gated parameters by using pairwise comparison and interclass correlation coefficient assessment. In a multivariable regression analysis, we also examined factors, which can affect quantification accuracy, including the size of lesion and the location of tumor.\nRESULTS: This study showed that quantification of volumetric parameters of 4D PET/CT images using an adaptive contrast-oriented thresholding algorithm and 3D lesion-based partial volume correction is feasible. We observed slight increase in FDG uptake by using PET/CT volumetric parameters in comparison of highest respiratory-gated values with non-gated values. After correction for partial volume effect, the mean standardized uptake value (SUVmean) and total lesion glycolysis (TLG) increased substantially (p value <0.001). However, we did not observe a clinically significant difference between partial volume corrected parameters of respiratory-gated and non-gated PET/CT scans. Regression analysis showed that tumor volume was the main predictor of quantification inaccuracy caused by partial volume effect.\nCONCLUSIONS: Based on this study, assessment of volumetric PET/CT parameters and partial volume effect correction for accurate quantification of lung malignant lesions by using respiratory non-gated PET images are feasible and it is comparable to gated measurements. Partial volume correction increased both the respiratory-gated and non-gated values significantly and appears to be the dominant source of quantification error of lung lesions.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s11307-014-0776-6", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1118463", 
            "issn": [
              "1536-1632", 
              "1878-5751"
            ], 
            "name": "Molecular Imaging and Biology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "17"
          }
        ], 
        "name": "Application of Partial Volume Effect Correction and 4D PET in the Quantification of FDG Avid Lung Lesions", 
        "pagination": "140-148", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "1c580e6c2385de6acb678f43c8f1789625f1be62ad9e9b9459407b94b622eb60"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "25080325"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101125610"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s11307-014-0776-6"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1005950127"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s11307-014-0776-6", 
          "https://app.dimensions.ai/details/publication/pub.1005950127"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T21:38", 
        "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_8687_00000520.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs11307-014-0776-6"
      }
    ]
     

    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/s11307-014-0776-6'

    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/s11307-014-0776-6'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11307-014-0776-6'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11307-014-0776-6'


     

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

    359 TRIPLES      21 PREDICATES      94 URIs      43 LITERALS      31 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s11307-014-0776-6 schema:about N1f6a815605eb4e54aa078857cecb143d
    2 N2debdb9d78d74ef8934ec0b5a7fde38e
    3 N2eff01bb9cc345d791c2d5794fa4e7e8
    4 N3788d294706d4ff193586ff89cefcda3
    5 N47f7c8c20208417b98d9381c22ed6fed
    6 N4c97e33893ce45d19eb68b829728a9c8
    7 N52a01b4b8780423684672503be96e962
    8 N58929d73b2e742b4902c4bdd31bf3385
    9 N6ff44c87352d474a84d8731638d32a07
    10 N866a02e22fe944088af35e4525cbd4a0
    11 N9151c2dbba7846abbc2ef97c4bc3e535
    12 N95113d5e65fc4df388a3abff011670b5
    13 N9e81256a091447f6b3b26810ed7deab2
    14 Nbe1cb8e7c99c476e821918f08c3e77f5
    15 Nbe292062423b4ab09064af4fd3fe0a4a
    16 Nbed6d92a268841dcb512dae3768b63cd
    17 Nea09ddcd92424cf1bd77db45a1349bb7
    18 Nea52c408c1614546993939c3b257f84d
    19 Nea5a29d14faa41efaa67e742f1b642ed
    20 Nef17156ece5e418fa4fdf443ef8dd5ad
    21 Nf31d9f6c16dd40e39604ea0ac99744a7
    22 Nff3f83faf385431d8470ed022e5ae943
    23 anzsrc-for:08
    24 anzsrc-for:0801
    25 schema:author N8fd819b49a4a42a5866a775f29b931b7
    26 schema:citation sg:pub.10.1007/s00259-002-0924-0
    27 sg:pub.10.1007/s00259-008-0931-x
    28 sg:pub.10.1007/s00259-010-1423-3
    29 sg:pub.10.1007/s00259-013-2407-x
    30 sg:pub.10.1007/s00259-013-2579-4
    31 sg:pub.10.1007/s00259-013-2625-2
    32 sg:pub.10.1007/s00395-008-0717-0
    33 sg:pub.10.1007/s12149-008-0225-1
    34 sg:pub.10.1186/2191-219x-2-16
    35 https://app.dimensions.ai/details/publication/pub.1075081052
    36 https://app.dimensions.ai/details/publication/pub.1076875870
    37 https://app.dimensions.ai/details/publication/pub.1077344485
    38 https://app.dimensions.ai/details/publication/pub.1078386463
    39 https://doi.org/10.1016/j.cpet.2007.10.005
    40 https://doi.org/10.1016/j.ijrobp.2010.12.060
    41 https://doi.org/10.1016/j.meddos.2005.12.005
    42 https://doi.org/10.1016/s0140-6736(86)90837-8
    43 https://doi.org/10.1016/s0958-3947(02)00136-x
    44 https://doi.org/10.1053/j.semnuclmed.2007.01.005
    45 https://doi.org/10.1053/j.semnuclmed.2008.01.002
    46 https://doi.org/10.1053/snuc.2003.127313
    47 https://doi.org/10.1080/02841850802627437
    48 https://doi.org/10.1097/mnm.0000000000000048
    49 https://doi.org/10.1097/mnm.0b013e32831af204
    50 https://doi.org/10.1109/iembs.2007.4353254
    51 https://doi.org/10.1109/tmi.2006.870892
    52 https://doi.org/10.1111/j.0006-341x.2002.01020.x
    53 https://doi.org/10.1118/1.1809778
    54 https://doi.org/10.1118/1.2192581
    55 https://doi.org/10.1118/1.3112422
    56 https://doi.org/10.1118/1.3160108
    57 https://doi.org/10.1118/1.3480508
    58 https://doi.org/10.1118/1.3483784
    59 https://doi.org/10.1118/1.3512780
    60 https://doi.org/10.1118/1.4766876
    61 https://doi.org/10.2307/2532051
    62 https://doi.org/10.2967/jnumed.106.035774
    63 https://doi.org/10.2967/jnumed.107.049296
    64 https://doi.org/10.2967/jnumed.108.050401
    65 https://doi.org/10.2967/jnumed.109.068759
    66 https://doi.org/10.2967/jnumed.111.093443
    67 https://doi.org/10.2967/jnumed.113.130138
    68 https://doi.org/10.7326/0003-4819-139-11-200311180-00013
    69 schema:datePublished 2015-02
    70 schema:datePublishedReg 2015-02-01
    71 schema:description PURPOSE: The aim of this study is to assess a software-based method with semiautomated correction for partial volume effect (PVE) to quantify the metabolic activity of pulmonary malignancies in patients who underwent non-gated and respiratory-gated 2-deoxy-2-[(18)F]fluoro-D-glucose (FDG)-positron emission tomography (PET)/x-ray computed tomography(CT). PROCEDURES: The study included 106 lesions of 55 lung cancer patients who underwent respiratory-gated FDG-PET/CT for radiation therapy treatment planning. Volumetric PET/CT parameters were determined by using 4D PET/CT and non-gated PET/CT images. We used a semiautomated program employing an adaptive contrast-oriented thresholding algorithm for lesion delineation as well as a lesion-based partial volume effect correction algorithm. We compared respiratory-gated parameters with non-gated parameters by using pairwise comparison and interclass correlation coefficient assessment. In a multivariable regression analysis, we also examined factors, which can affect quantification accuracy, including the size of lesion and the location of tumor. RESULTS: This study showed that quantification of volumetric parameters of 4D PET/CT images using an adaptive contrast-oriented thresholding algorithm and 3D lesion-based partial volume correction is feasible. We observed slight increase in FDG uptake by using PET/CT volumetric parameters in comparison of highest respiratory-gated values with non-gated values. After correction for partial volume effect, the mean standardized uptake value (SUVmean) and total lesion glycolysis (TLG) increased substantially (p value <0.001). However, we did not observe a clinically significant difference between partial volume corrected parameters of respiratory-gated and non-gated PET/CT scans. Regression analysis showed that tumor volume was the main predictor of quantification inaccuracy caused by partial volume effect. CONCLUSIONS: Based on this study, assessment of volumetric PET/CT parameters and partial volume effect correction for accurate quantification of lung malignant lesions by using respiratory non-gated PET images are feasible and it is comparable to gated measurements. Partial volume correction increased both the respiratory-gated and non-gated values significantly and appears to be the dominant source of quantification error of lung lesions.
    72 schema:genre research_article
    73 schema:inLanguage en
    74 schema:isAccessibleForFree true
    75 schema:isPartOf N83136ffc5e4f487fb5a199e325fb0f0e
    76 Nb83fdd9b1b164a18b1b05b00b44d817b
    77 sg:journal.1118463
    78 schema:name Application of Partial Volume Effect Correction and 4D PET in the Quantification of FDG Avid Lung Lesions
    79 schema:pagination 140-148
    80 schema:productId N05949525f9ee4e648b3790a8087bd4cc
    81 N192d045a0cde44c383e6f8c5920008b1
    82 N5000698492c24f479d958c30be74c546
    83 Nc1fa20c402aa415cb7520f0d6c60303a
    84 Nca5e87f54ab1445bb003cb40241b4fc1
    85 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005950127
    86 https://doi.org/10.1007/s11307-014-0776-6
    87 schema:sdDatePublished 2019-04-10T21:38
    88 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    89 schema:sdPublisher Nd1724e2f5bc14a7298a9a15c45f375fe
    90 schema:url http://link.springer.com/10.1007%2Fs11307-014-0776-6
    91 sgo:license sg:explorer/license/
    92 sgo:sdDataset articles
    93 rdf:type schema:ScholarlyArticle
    94 N05949525f9ee4e648b3790a8087bd4cc schema:name doi
    95 schema:value 10.1007/s11307-014-0776-6
    96 rdf:type schema:PropertyValue
    97 N12a0bb454fef45d28958040140ac41a3 rdf:first sg:person.0761176705.59
    98 rdf:rest Nfed53d6a09a5447cb49cc21138240fb8
    99 N192d045a0cde44c383e6f8c5920008b1 schema:name readcube_id
    100 schema:value 1c580e6c2385de6acb678f43c8f1789625f1be62ad9e9b9459407b94b622eb60
    101 rdf:type schema:PropertyValue
    102 N1f6a815605eb4e54aa078857cecb143d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    103 schema:name Positron-Emission Tomography
    104 rdf:type schema:DefinedTerm
    105 N25f4973d33e74158916efe0756e46167 rdf:first sg:person.01044605774.07
    106 rdf:rest Ne2c8e4a21fad47f99823f17116d5f8fe
    107 N2debdb9d78d74ef8934ec0b5a7fde38e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    108 schema:name Contrast Media
    109 rdf:type schema:DefinedTerm
    110 N2eff01bb9cc345d791c2d5794fa4e7e8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    111 schema:name Regression Analysis
    112 rdf:type schema:DefinedTerm
    113 N2fd2c318ddd44c01bbdfe26bc8f62da1 rdf:first Nfa412f1f8e2743fa9b5425830e96871b
    114 rdf:rest N25f4973d33e74158916efe0756e46167
    115 N3788d294706d4ff193586ff89cefcda3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    116 schema:name Motion
    117 rdf:type schema:DefinedTerm
    118 N47f7c8c20208417b98d9381c22ed6fed schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    119 schema:name Radiopharmaceuticals
    120 rdf:type schema:DefinedTerm
    121 N4c97e33893ce45d19eb68b829728a9c8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    122 schema:name Whole Body Imaging
    123 rdf:type schema:DefinedTerm
    124 N5000698492c24f479d958c30be74c546 schema:name pubmed_id
    125 schema:value 25080325
    126 rdf:type schema:PropertyValue
    127 N52a01b4b8780423684672503be96e962 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    128 schema:name Automation
    129 rdf:type schema:DefinedTerm
    130 N58929d73b2e742b4902c4bdd31bf3385 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    131 schema:name Fluorodeoxyglucose F18
    132 rdf:type schema:DefinedTerm
    133 N6ff44c87352d474a84d8731638d32a07 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    134 schema:name Female
    135 rdf:type schema:DefinedTerm
    136 N83136ffc5e4f487fb5a199e325fb0f0e schema:issueNumber 1
    137 rdf:type schema:PublicationIssue
    138 N8535e0fcc6954bc885ad726a811afaa3 rdf:first sg:person.01300453230.34
    139 rdf:rest Ne19b5691979c43d687cfb1b60c36fdf8
    140 N866a02e22fe944088af35e4525cbd4a0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    141 schema:name Aged
    142 rdf:type schema:DefinedTerm
    143 N8fd819b49a4a42a5866a775f29b931b7 rdf:first sg:person.0774653204.10
    144 rdf:rest Nfd4bd7a8ab4141afaf820780478fd5a1
    145 N9151c2dbba7846abbc2ef97c4bc3e535 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    146 schema:name Respiration
    147 rdf:type schema:DefinedTerm
    148 N95113d5e65fc4df388a3abff011670b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    149 schema:name Multivariate Analysis
    150 rdf:type schema:DefinedTerm
    151 N9e81256a091447f6b3b26810ed7deab2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    152 schema:name Image Processing, Computer-Assisted
    153 rdf:type schema:DefinedTerm
    154 Nb14a81d799574cea859d3177d9871228 rdf:first sg:person.01042766404.29
    155 rdf:rest N12a0bb454fef45d28958040140ac41a3
    156 Nb83fdd9b1b164a18b1b05b00b44d817b schema:volumeNumber 17
    157 rdf:type schema:PublicationVolume
    158 Nbe1cb8e7c99c476e821918f08c3e77f5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    159 schema:name Male
    160 rdf:type schema:DefinedTerm
    161 Nbe292062423b4ab09064af4fd3fe0a4a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    162 schema:name Humans
    163 rdf:type schema:DefinedTerm
    164 Nbed6d92a268841dcb512dae3768b63cd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    165 schema:name Reproducibility of Results
    166 rdf:type schema:DefinedTerm
    167 Nc1fa20c402aa415cb7520f0d6c60303a schema:name nlm_unique_id
    168 schema:value 101125610
    169 rdf:type schema:PropertyValue
    170 Nca5e87f54ab1445bb003cb40241b4fc1 schema:name dimensions_id
    171 schema:value pub.1005950127
    172 rdf:type schema:PropertyValue
    173 Nd1724e2f5bc14a7298a9a15c45f375fe schema:name Springer Nature - SN SciGraph project
    174 rdf:type schema:Organization
    175 Ne19b5691979c43d687cfb1b60c36fdf8 rdf:first sg:person.013064447257.07
    176 rdf:rest rdf:nil
    177 Ne2c8e4a21fad47f99823f17116d5f8fe rdf:first sg:person.01276554062.91
    178 rdf:rest Nb14a81d799574cea859d3177d9871228
    179 Nea09ddcd92424cf1bd77db45a1349bb7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    180 schema:name Multimodal Imaging
    181 rdf:type schema:DefinedTerm
    182 Nea52c408c1614546993939c3b257f84d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    183 schema:name Tomography, X-Ray Computed
    184 rdf:type schema:DefinedTerm
    185 Nea5a29d14faa41efaa67e742f1b642ed schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    186 schema:name Lung Neoplasms
    187 rdf:type schema:DefinedTerm
    188 Nef17156ece5e418fa4fdf443ef8dd5ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    189 schema:name Lung
    190 rdf:type schema:DefinedTerm
    191 Nf31d9f6c16dd40e39604ea0ac99744a7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    192 schema:name Algorithms
    193 rdf:type schema:DefinedTerm
    194 Nfa412f1f8e2743fa9b5425830e96871b schema:affiliation https://www.grid.ac/institutes/grid.411115.1
    195 schema:familyName Boon-Keng
    196 schema:givenName Teo K.
    197 rdf:type schema:Person
    198 Nfd4bd7a8ab4141afaf820780478fd5a1 rdf:first sg:person.01355106402.62
    199 rdf:rest N2fd2c318ddd44c01bbdfe26bc8f62da1
    200 Nfed53d6a09a5447cb49cc21138240fb8 rdf:first sg:person.01026611221.88
    201 rdf:rest N8535e0fcc6954bc885ad726a811afaa3
    202 Nff3f83faf385431d8470ed022e5ae943 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    203 schema:name Middle Aged
    204 rdf:type schema:DefinedTerm
    205 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    206 schema:name Information and Computing Sciences
    207 rdf:type schema:DefinedTerm
    208 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    209 schema:name Artificial Intelligence and Image Processing
    210 rdf:type schema:DefinedTerm
    211 sg:journal.1118463 schema:issn 1536-1632
    212 1878-5751
    213 schema:name Molecular Imaging and Biology
    214 rdf:type schema:Periodical
    215 sg:person.01026611221.88 schema:affiliation https://www.grid.ac/institutes/grid.411115.1
    216 schema:familyName Torigian
    217 schema:givenName Drew A.
    218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026611221.88
    219 rdf:type schema:Person
    220 sg:person.01042766404.29 schema:affiliation https://www.grid.ac/institutes/grid.411115.1
    221 schema:familyName Saboury
    222 schema:givenName Babak
    223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01042766404.29
    224 rdf:type schema:Person
    225 sg:person.01044605774.07 schema:affiliation https://www.grid.ac/institutes/grid.411115.1
    226 schema:familyName Houshmand
    227 schema:givenName Sina
    228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044605774.07
    229 rdf:type schema:Person
    230 sg:person.01276554062.91 schema:affiliation https://www.grid.ac/institutes/grid.411115.1
    231 schema:familyName Khiewvan
    232 schema:givenName Benjapa
    233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01276554062.91
    234 rdf:type schema:Person
    235 sg:person.01300453230.34 schema:affiliation https://www.grid.ac/institutes/grid.8591.5
    236 schema:familyName Zaidi
    237 schema:givenName Habib
    238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01300453230.34
    239 rdf:type schema:Person
    240 sg:person.013064447257.07 schema:affiliation https://www.grid.ac/institutes/grid.411115.1
    241 schema:familyName Alavi
    242 schema:givenName Abass
    243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013064447257.07
    244 rdf:type schema:Person
    245 sg:person.01355106402.62 schema:affiliation https://www.grid.ac/institutes/grid.411115.1
    246 schema:familyName Borofsky
    247 schema:givenName Samuel
    248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01355106402.62
    249 rdf:type schema:Person
    250 sg:person.0761176705.59 schema:affiliation https://www.grid.ac/institutes/grid.411115.1
    251 schema:familyName Codreanu
    252 schema:givenName Ion
    253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761176705.59
    254 rdf:type schema:Person
    255 sg:person.0774653204.10 schema:affiliation https://www.grid.ac/institutes/grid.411115.1
    256 schema:familyName Salavati
    257 schema:givenName Ali
    258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0774653204.10
    259 rdf:type schema:Person
    260 sg:pub.10.1007/s00259-002-0924-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012723639
    261 https://doi.org/10.1007/s00259-002-0924-0
    262 rdf:type schema:CreativeWork
    263 sg:pub.10.1007/s00259-008-0931-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1048275554
    264 https://doi.org/10.1007/s00259-008-0931-x
    265 rdf:type schema:CreativeWork
    266 sg:pub.10.1007/s00259-010-1423-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052969468
    267 https://doi.org/10.1007/s00259-010-1423-3
    268 rdf:type schema:CreativeWork
    269 sg:pub.10.1007/s00259-013-2407-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1020424181
    270 https://doi.org/10.1007/s00259-013-2407-x
    271 rdf:type schema:CreativeWork
    272 sg:pub.10.1007/s00259-013-2579-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043290425
    273 https://doi.org/10.1007/s00259-013-2579-4
    274 rdf:type schema:CreativeWork
    275 sg:pub.10.1007/s00259-013-2625-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019034498
    276 https://doi.org/10.1007/s00259-013-2625-2
    277 rdf:type schema:CreativeWork
    278 sg:pub.10.1007/s00395-008-0717-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002871231
    279 https://doi.org/10.1007/s00395-008-0717-0
    280 rdf:type schema:CreativeWork
    281 sg:pub.10.1007/s12149-008-0225-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013779505
    282 https://doi.org/10.1007/s12149-008-0225-1
    283 rdf:type schema:CreativeWork
    284 sg:pub.10.1186/2191-219x-2-16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050768136
    285 https://doi.org/10.1186/2191-219x-2-16
    286 rdf:type schema:CreativeWork
    287 https://app.dimensions.ai/details/publication/pub.1075081052 schema:CreativeWork
    288 https://app.dimensions.ai/details/publication/pub.1076875870 schema:CreativeWork
    289 https://app.dimensions.ai/details/publication/pub.1077344485 schema:CreativeWork
    290 https://app.dimensions.ai/details/publication/pub.1078386463 schema:CreativeWork
    291 https://doi.org/10.1016/j.cpet.2007.10.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022473250
    292 rdf:type schema:CreativeWork
    293 https://doi.org/10.1016/j.ijrobp.2010.12.060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048321974
    294 rdf:type schema:CreativeWork
    295 https://doi.org/10.1016/j.meddos.2005.12.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045263377
    296 rdf:type schema:CreativeWork
    297 https://doi.org/10.1016/s0140-6736(86)90837-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040287180
    298 rdf:type schema:CreativeWork
    299 https://doi.org/10.1016/s0958-3947(02)00136-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045600171
    300 rdf:type schema:CreativeWork
    301 https://doi.org/10.1053/j.semnuclmed.2007.01.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038419506
    302 rdf:type schema:CreativeWork
    303 https://doi.org/10.1053/j.semnuclmed.2008.01.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000754835
    304 rdf:type schema:CreativeWork
    305 https://doi.org/10.1053/snuc.2003.127313 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034167044
    306 rdf:type schema:CreativeWork
    307 https://doi.org/10.1080/02841850802627437 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077825582
    308 rdf:type schema:CreativeWork
    309 https://doi.org/10.1097/mnm.0000000000000048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024626081
    310 rdf:type schema:CreativeWork
    311 https://doi.org/10.1097/mnm.0b013e32831af204 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024728759
    312 rdf:type schema:CreativeWork
    313 https://doi.org/10.1109/iembs.2007.4353254 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077517472
    314 rdf:type schema:CreativeWork
    315 https://doi.org/10.1109/tmi.2006.870892 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061694834
    316 rdf:type schema:CreativeWork
    317 https://doi.org/10.1111/j.0006-341x.2002.01020.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043529473
    318 rdf:type schema:CreativeWork
    319 https://doi.org/10.1118/1.1809778 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038821018
    320 rdf:type schema:CreativeWork
    321 https://doi.org/10.1118/1.2192581 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005528187
    322 rdf:type schema:CreativeWork
    323 https://doi.org/10.1118/1.3112422 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000568645
    324 rdf:type schema:CreativeWork
    325 https://doi.org/10.1118/1.3160108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022954868
    326 rdf:type schema:CreativeWork
    327 https://doi.org/10.1118/1.3480508 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040437380
    328 rdf:type schema:CreativeWork
    329 https://doi.org/10.1118/1.3483784 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047405637
    330 rdf:type schema:CreativeWork
    331 https://doi.org/10.1118/1.3512780 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025260241
    332 rdf:type schema:CreativeWork
    333 https://doi.org/10.1118/1.4766876 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013766657
    334 rdf:type schema:CreativeWork
    335 https://doi.org/10.2307/2532051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069977481
    336 rdf:type schema:CreativeWork
    337 https://doi.org/10.2967/jnumed.106.035774 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005435708
    338 rdf:type schema:CreativeWork
    339 https://doi.org/10.2967/jnumed.107.049296 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034962756
    340 rdf:type schema:CreativeWork
    341 https://doi.org/10.2967/jnumed.108.050401 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037285767
    342 rdf:type schema:CreativeWork
    343 https://doi.org/10.2967/jnumed.109.068759 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049790673
    344 rdf:type schema:CreativeWork
    345 https://doi.org/10.2967/jnumed.111.093443 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002236986
    346 rdf:type schema:CreativeWork
    347 https://doi.org/10.2967/jnumed.113.130138 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036012979
    348 rdf:type schema:CreativeWork
    349 https://doi.org/10.7326/0003-4819-139-11-200311180-00013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073706357
    350 rdf:type schema:CreativeWork
    351 https://www.grid.ac/institutes/grid.411115.1 schema:alternateName Hospital of the University of Pennsylvania
    352 schema:name Department of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
    353 Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, USA
    354 rdf:type schema:Organization
    355 https://www.grid.ac/institutes/grid.8591.5 schema:alternateName University of Geneva
    356 schema:name Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, 9700 RB, Groningen, The Netherlands
    357 Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland
    358 Geneva Neuroscience Center, Geneva University, CH-1211, Geneva, Switzerland
    359 rdf:type schema:Organization
     




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


    ...