Multi institutional quantitative phantom study of yttrium-90 PET in PET/MRI: the MR-QUEST study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-04-04

AUTHORS

Nichole M. Maughan, Mootaz Eldib, David Faul, Maurizio Conti, Mattijs Elschot, Karin Knešaurek, Francesca Leek, David Townsend, Frank P. DiFilippo, Kimberly Jackson, Stephan G. Nekolla, Mathias Lukas, Michael Tapner, Parag J. Parikh, Richard Laforest

ABSTRACT

BACKGROUND: Yttrium-90 (90Y) radioembolization involves the intra-arterial delivery of radioactive microspheres to treat hepatic malignancies. Though this therapy involves careful pre-treatment planning and imaging, little is known about the precise location of the microspheres once they are administered. Recently, there has been growing interest post-radioembolization imaging using positron-emission tomography (PET) for quantitative dosimetry and identifying lesions that may benefit from additional salvage therapy. In this study, we aim to measure the inter-center variability of 90Y PET measurements as measured on PET/MRI in preparation for a multi-institutional prospective phase I/II clinical trial. Eight institutions participated in this study and followed a standardized phantom filling and imaging protocol. The NEMA NU2-2012 body phantom was filled with 3 GBq of 90Y chloride solution. The phantom was imaged for 30 min in listmode on a Siemens Biograph mMR non-TOF PET/MRI scanner at five time points across 10 days (0.3-3.0 GBq). Raw PET data were sent to a central site for image reconstruction and data analysis. Images were reconstructed with optimal parameters determined from a previous study. Volumes of interest (VOIs) matching the known sphere diameters were drawn on the vendor-provided attenuation map and propagated to the PET images. Recovery coefficients (RCs) and coefficient of variation of the RCs (COV) were calculated from these VOIs for each sphere size and activity level. RESULTS: Mean RCs ranged from 14.5 to 75.4%, with the lowest mean RC coming from the smallest sphere (10 mm) on the last day of imaging (0.16 MBq/ml) and the highest mean RC coming from the largest sphere (37 mm) on the first day of imaging (2.16 MBq/ml). The smaller spheres tended to exhibit higher COVs. In contrast, the larger spheres tended to exhibit lower COVs. COVs from the 37 mm sphere were < 25.3% in all scans. For scans with ≥ 0.60 MBq/ml, COVs were ≤ 25% in spheres ≥ 22 mm. However, for all other spheres sizes and activity levels, COVs were usually > 25%. CONCLUSIONS: Post-radioembolization dosimetry of lesions or other VOIs ≥ 22 mm in diameter can be consistently obtained (< 25% variability) at a multi-institutional level using PET/MRI for any clinically significant activity for 90Y radioembolization. More... »

PAGES

7

References to SciGraph publications

Journal

TITLE

EJNMMI Physics

ISSUE

1

VOLUME

5

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s40658-018-0206-y

DOI

http://dx.doi.org/10.1186/s40658-018-0206-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1101279347

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29616365


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Radiation Oncology, Washington University School of Medicine, 4921 Parkview Place, Campus Box 8224, St. Louis, MO 63110 USA", 
          "id": "http://www.grid.ac/institutes/grid.4367.6", 
          "name": [
            "Department of Radiation Oncology, Washington University School of Medicine, 4921 Parkview Place, Campus Box 8224, St. Louis, MO 63110 USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maughan", 
        "givenName": "Nichole M.", 
        "id": "sg:person.01327563235.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01327563235.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Biomedical Engineering, City College of New York, 160 Convent Ave, New York, NY 10031 USA", 
          "id": "http://www.grid.ac/institutes/grid.254250.4", 
          "name": [
            "Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY 10029 USA", 
            "Department of Biomedical Engineering, City College of New York, 160 Convent Ave, New York, NY 10031 USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Eldib", 
        "givenName": "Mootaz", 
        "id": "sg:person.0752337507.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0752337507.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Siemens Healthineers, Siemens Medical Solutions USA, Inc., 40 Liberty Boulevard, Malvern, PA 19355-9998 USA", 
          "id": "http://www.grid.ac/institutes/grid.415886.6", 
          "name": [
            "Siemens Healthineers, Siemens Medical Solutions USA, Inc., 40 Liberty Boulevard, Malvern, PA 19355-9998 USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Faul", 
        "givenName": "David", 
        "id": "sg:person.01333256761.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01333256761.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Molecular Imaging, Siemens Healthineers, 810 Innovation Dr, Knoxville, TN 37932 USA", 
          "id": "http://www.grid.ac/institutes/grid.415886.6", 
          "name": [
            "Molecular Imaging, Siemens Healthineers, 810 Innovation Dr, Knoxville, TN 37932 USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Conti", 
        "givenName": "Maurizio", 
        "id": "sg:person.01300356305.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01300356305.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Postboks 8905, 7491 Trondheim, Norway", 
          "id": "http://www.grid.ac/institutes/grid.5947.f", 
          "name": [
            "Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Postboks 8905, 7491 Trondheim, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Elschot", 
        "givenName": "Mattijs", 
        "id": "sg:person.01344540550.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344540550.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Icahn School of Medicine at Mt. Sinai, One G. Levy Pl., Box 1141, New York, NY 10029 USA", 
          "id": "http://www.grid.ac/institutes/grid.59734.3c", 
          "name": [
            "Department of Radiology, Icahn School of Medicine at Mt. Sinai, One G. Levy Pl., Box 1141, New York, NY 10029 USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kne\u0161aurek", 
        "givenName": "Karin", 
        "id": "sg:person.0714032237.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714032237.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Agency for Science Technology and Research, National University of Singapore Clinical Imaging Research Centre, 14 Medical Drive, #B1-01, Singapore, 117599 Singapore", 
          "id": "http://www.grid.ac/institutes/grid.185448.4", 
          "name": [
            "Agency for Science Technology and Research, National University of Singapore Clinical Imaging Research Centre, 14 Medical Drive, #B1-01, Singapore, 117599 Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Leek", 
        "givenName": "Francesca", 
        "id": "sg:person.0774425623.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0774425623.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Agency for Science Technology and Research, National University of Singapore Clinical Imaging Research Centre, 14 Medical Drive, #B1-01, Singapore, 117599 Singapore", 
          "id": "http://www.grid.ac/institutes/grid.185448.4", 
          "name": [
            "Agency for Science Technology and Research, National University of Singapore Clinical Imaging Research Centre, 14 Medical Drive, #B1-01, Singapore, 117599 Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Townsend", 
        "givenName": "David", 
        "id": "sg:person.0707521773.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0707521773.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Nuclear Medicine, Cleveland Clinic, Mail Code Jb3, 9500 Euclid Ave, Cleveland, OH 44195 USA", 
          "id": "http://www.grid.ac/institutes/grid.239578.2", 
          "name": [
            "Department of Nuclear Medicine, Cleveland Clinic, Mail Code Jb3, 9500 Euclid Ave, Cleveland, OH 44195 USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "DiFilippo", 
        "givenName": "Frank P.", 
        "id": "sg:person.01041463631.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01041463631.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "NYU Medical Center, 333 E 38th St, New York, NY 10016 USA", 
          "id": "http://www.grid.ac/institutes/grid.240324.3", 
          "name": [
            "NYU Medical Center, 333 E 38th St, New York, NY 10016 USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jackson", 
        "givenName": "Kimberly", 
        "id": "sg:person.0700114565.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700114565.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Klinik und Poliklinik f\u00fcr Nuklearmedizin, TU M\u00fcnchen, Strasse 22, 81675, Munich, Germany", 
          "id": "http://www.grid.ac/institutes/grid.6936.a", 
          "name": [
            "Klinik und Poliklinik f\u00fcr Nuklearmedizin, TU M\u00fcnchen, Strasse 22, 81675, Munich, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nekolla", 
        "givenName": "Stephan G.", 
        "id": "sg:person.013000403137.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013000403137.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Siemens Healthcare GmbH, Berlin, Germany", 
          "id": "http://www.grid.ac/institutes/grid.5406.7", 
          "name": [
            "Department of Nuclear Medicine, Charit\u00e9\u2014Universit\u00e4tsmedizin Berlin, Charit\u00e9pl. 1, 10117 Berlin, Germany", 
            "Siemens Healthcare GmbH, Berlin, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lukas", 
        "givenName": "Mathias", 
        "id": "sg:person.01025256213.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025256213.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "ABX-CRO Advanced Pharmaceutical Services, 1 Begonia Road, Normanhurst, NSW 2076 Australia", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Sirtex Medical Ltd, Level 33, 101 Miller St, North Sydney, NSW 2060 Australia", 
            "ABX-CRO Advanced Pharmaceutical Services, 1 Begonia Road, Normanhurst, NSW 2076 Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tapner", 
        "givenName": "Michael", 
        "id": "sg:person.01136435402.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136435402.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiation Oncology, Washington University School of Medicine, 4921 Parkview Place, Campus Box 8224, St. Louis, MO 63110 USA", 
          "id": "http://www.grid.ac/institutes/grid.4367.6", 
          "name": [
            "Department of Radiation Oncology, Washington University School of Medicine, 4921 Parkview Place, Campus Box 8224, St. Louis, MO 63110 USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Parikh", 
        "givenName": "Parag J.", 
        "id": "sg:person.01205515334.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01205515334.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway, Campus Box 8225, St. Louis, MO 63110 USA", 
          "id": "http://www.grid.ac/institutes/grid.4367.6", 
          "name": [
            "Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway, Campus Box 8225, St. Louis, MO 63110 USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Laforest", 
        "givenName": "Richard", 
        "id": "sg:person.0624645453.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0624645453.10"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/2191-219x-3-56", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019782313", 
          "https://doi.org/10.1186/2191-219x-3-56"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s40658-015-0122-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023019205", 
          "https://doi.org/10.1186/s40658-015-0122-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s40658-016-0138-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008175278", 
          "https://doi.org/10.1186/s40658-016-0138-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-015-3059-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038106982", 
          "https://doi.org/10.1007/s00259-015-3059-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13550-017-0292-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085563210", 
          "https://doi.org/10.1186/s13550-017-0292-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-010-1470-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011368724", 
          "https://doi.org/10.1007/s00259-010-1470-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12149-013-0726-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048095550", 
          "https://doi.org/10.1007/s12149-013-0726-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00270-015-1285-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027732509", 
          "https://doi.org/10.1007/s00270-015-1285-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/2191-219x-3-57", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025948512", 
          "https://doi.org/10.1186/2191-219x-3-57"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-007-0374-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034213847", 
          "https://doi.org/10.1007/s00259-007-0374-9"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-04-04", 
    "datePublishedReg": "2018-04-04", 
    "description": "BACKGROUND: Yttrium-90 (90Y) radioembolization involves the intra-arterial delivery of radioactive microspheres to treat hepatic malignancies. Though this therapy involves careful pre-treatment planning and imaging, little is known about the precise location of the microspheres once they are administered. Recently, there has been growing interest post-radioembolization imaging using positron-emission tomography (PET) for quantitative dosimetry and identifying lesions that may benefit from additional salvage therapy. In this study, we aim to measure the inter-center variability of 90Y PET measurements as measured on PET/MRI in preparation for a multi-institutional prospective phase I/II clinical trial. Eight institutions participated in this study and followed a standardized phantom filling and imaging protocol. The NEMA NU2-2012 body phantom was filled with 3\u00a0GBq of 90Y chloride solution. The phantom was imaged for 30\u00a0min in listmode on a Siemens Biograph mMR non-TOF PET/MRI scanner at five time points across 10\u00a0days (0.3-3.0\u00a0GBq). Raw PET data were sent to a central site for image reconstruction and data analysis. Images were reconstructed with optimal parameters determined from a previous study. Volumes of interest (VOIs) matching the known sphere diameters were drawn on the vendor-provided attenuation map and propagated to the PET images. Recovery coefficients (RCs) and coefficient of variation of the RCs (COV) were calculated from these VOIs for each sphere size and activity level.\nRESULTS: Mean RCs ranged from 14.5 to 75.4%, with the lowest mean RC coming from the smallest sphere (10\u00a0mm) on the last day of imaging (0.16\u00a0MBq/ml) and the highest mean RC coming from the largest sphere (37\u00a0mm) on the first day of imaging (2.16\u00a0MBq/ml). The smaller spheres tended to exhibit higher COVs. In contrast, the larger spheres tended to exhibit lower COVs. COVs from the 37\u00a0mm sphere were <\u200925.3% in all scans. For scans with \u2265\u20090.60\u00a0MBq/ml, COVs were \u2264\u200925% in spheres \u2265\u200922\u00a0mm. However, for all other spheres sizes and activity levels, COVs were usually >\u200925%.\nCONCLUSIONS: Post-radioembolization dosimetry of lesions or other VOIs \u2265\u200922\u00a0mm in diameter can be consistently obtained (<\u200925% variability) at a multi-institutional level using PET/MRI for any clinically significant activity for 90Y radioembolization.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/s40658-018-0206-y", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1051885", 
        "issn": [
          "2197-7364"
        ], 
        "name": "EJNMMI Physics", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "5"
      }
    ], 
    "keywords": [
      "positron emission tomography", 
      "PET/MRI", 
      "phase I/II clinical trials", 
      "volume of interest", 
      "prospective phase I/II clinical trial", 
      "Yttrium-90 Radioembolization", 
      "intra-arterial delivery", 
      "additional salvage therapy", 
      "II clinical trials", 
      "activity levels", 
      "inter-center variability", 
      "salvage therapy", 
      "hepatic malignancies", 
      "radioactive microspheres", 
      "clinical trials", 
      "pre-treatment planning", 
      "PET/MRI scanner", 
      "multi-institutional level", 
      "time points", 
      "imaging protocol", 
      "first day", 
      "PET measurements", 
      "MRI", 
      "radioembolization", 
      "last day", 
      "therapy", 
      "lesions", 
      "MBq/", 
      "MRI scanner", 
      "days", 
      "central site", 
      "CoV", 
      "scans", 
      "significant activity", 
      "PET images", 
      "PET data", 
      "imaging", 
      "previous studies", 
      "lower COV", 
      "malignancy", 
      "phantom study", 
      "study", 
      "levels", 
      "coefficient of variation", 
      "trials", 
      "body phantom", 
      "tomography", 
      "higher CoV", 
      "GBq", 
      "quantitative dosimetry", 
      "dosimetry", 
      "delivery", 
      "min", 
      "precise location", 
      "data analysis", 
      "activity", 
      "LT", 
      "protocol", 
      "contrast", 
      "diameter", 
      "volume", 
      "microspheres", 
      "scanner", 
      "reconstruction", 
      "institutions", 
      "phantom", 
      "data", 
      "sites", 
      "filling", 
      "preparation", 
      "size", 
      "recovery coefficient", 
      "attenuation map", 
      "variability", 
      "analysis", 
      "planning", 
      "location", 
      "images", 
      "point", 
      "measurements", 
      "interest", 
      "sphere size", 
      "chloride solution", 
      "parameters", 
      "variation", 
      "large spheres", 
      "coefficient", 
      "small spheres", 
      "maps", 
      "image reconstruction", 
      "raw PET data", 
      "optimal parameters", 
      "solution", 
      "sphere", 
      "listmode", 
      "NEMA NU2", 
      "sphere diameter", 
      "NU2", 
      "careful pre-treatment planning", 
      "interest post-radioembolization imaging", 
      "post-radioembolization imaging", 
      "multi-institutional prospective phase I/II clinical trial", 
      "I/II clinical trial", 
      "standardized phantom filling", 
      "phantom filling", 
      "Siemens Biograph mMR non-TOF PET/MRI scanner", 
      "Biograph mMR non-TOF PET/MRI scanner", 
      "mMR non-TOF PET/MRI scanner", 
      "non-TOF PET/MRI scanner", 
      "vendor-provided attenuation map", 
      "mean RC", 
      "lowest mean RC", 
      "highest mean RC", 
      "Post-radioembolization dosimetry", 
      "Multi institutional quantitative phantom study", 
      "institutional quantitative phantom study", 
      "quantitative phantom study", 
      "yttrium-90 PET", 
      "MR-QUEST study"
    ], 
    "name": "Multi institutional quantitative phantom study of yttrium-90 PET in PET/MRI: the MR-QUEST study", 
    "pagination": "7", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1101279347"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s40658-018-0206-y"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29616365"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s40658-018-0206-y", 
      "https://app.dimensions.ai/details/publication/pub.1101279347"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-11-01T18:32", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/article/article_774.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/s40658-018-0206-y"
  }
]
 

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.10.1186/s40658-018-0206-y'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s40658-018-0206-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40658-018-0206-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40658-018-0206-y'


 

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

355 TRIPLES      22 PREDICATES      155 URIs      137 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s40658-018-0206-y schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author Nfb7d0576dba2435983d9837d832777c3
4 schema:citation sg:pub.10.1007/s00259-007-0374-9
5 sg:pub.10.1007/s00259-010-1470-9
6 sg:pub.10.1007/s00259-015-3059-9
7 sg:pub.10.1007/s00270-015-1285-y
8 sg:pub.10.1007/s12149-013-0726-4
9 sg:pub.10.1186/2191-219x-3-56
10 sg:pub.10.1186/2191-219x-3-57
11 sg:pub.10.1186/s13550-017-0292-1
12 sg:pub.10.1186/s40658-015-0122-3
13 sg:pub.10.1186/s40658-016-0138-3
14 schema:datePublished 2018-04-04
15 schema:datePublishedReg 2018-04-04
16 schema:description BACKGROUND: Yttrium-90 (<sup>90</sup>Y) radioembolization involves the intra-arterial delivery of radioactive microspheres to treat hepatic malignancies. Though this therapy involves careful pre-treatment planning and imaging, little is known about the precise location of the microspheres once they are administered. Recently, there has been growing interest post-radioembolization imaging using positron-emission tomography (PET) for quantitative dosimetry and identifying lesions that may benefit from additional salvage therapy. In this study, we aim to measure the inter-center variability of <sup>90</sup>Y PET measurements as measured on PET/MRI in preparation for a multi-institutional prospective phase I/II clinical trial. Eight institutions participated in this study and followed a standardized phantom filling and imaging protocol. The NEMA NU2-2012 body phantom was filled with 3 GBq of <sup>90</sup>Y chloride solution. The phantom was imaged for 30 min in listmode on a Siemens Biograph mMR non-TOF PET/MRI scanner at five time points across 10 days (0.3-3.0 GBq). Raw PET data were sent to a central site for image reconstruction and data analysis. Images were reconstructed with optimal parameters determined from a previous study. Volumes of interest (VOIs) matching the known sphere diameters were drawn on the vendor-provided attenuation map and propagated to the PET images. Recovery coefficients (RCs) and coefficient of variation of the RCs (COV) were calculated from these VOIs for each sphere size and activity level. RESULTS: Mean RCs ranged from 14.5 to 75.4%, with the lowest mean RC coming from the smallest sphere (10 mm) on the last day of imaging (0.16 MBq/ml) and the highest mean RC coming from the largest sphere (37 mm) on the first day of imaging (2.16 MBq/ml). The smaller spheres tended to exhibit higher COVs. In contrast, the larger spheres tended to exhibit lower COVs. COVs from the 37 mm sphere were &lt; 25.3% in all scans. For scans with ≥ 0.60 MBq/ml, COVs were ≤ 25% in spheres ≥ 22 mm. However, for all other spheres sizes and activity levels, COVs were usually &gt; 25%. CONCLUSIONS: Post-radioembolization dosimetry of lesions or other VOIs ≥ 22 mm in diameter can be consistently obtained (&lt; 25% variability) at a multi-institutional level using PET/MRI for any clinically significant activity for <sup>90</sup>Y radioembolization.
17 schema:genre article
18 schema:inLanguage en
19 schema:isAccessibleForFree true
20 schema:isPartOf N09e44ec3ec784373a59217af83b33d52
21 N6dd7d471ecf043b9b24f46486c16d57d
22 sg:journal.1051885
23 schema:keywords Biograph mMR non-TOF PET/MRI scanner
24 CoV
25 GBq
26 I/II clinical trial
27 II clinical trials
28 LT
29 MBq/
30 MR-QUEST study
31 MRI
32 MRI scanner
33 Multi institutional quantitative phantom study
34 NEMA NU2
35 NU2
36 PET data
37 PET images
38 PET measurements
39 PET/MRI
40 PET/MRI scanner
41 Post-radioembolization dosimetry
42 Siemens Biograph mMR non-TOF PET/MRI scanner
43 Yttrium-90 Radioembolization
44 activity
45 activity levels
46 additional salvage therapy
47 analysis
48 attenuation map
49 body phantom
50 careful pre-treatment planning
51 central site
52 chloride solution
53 clinical trials
54 coefficient
55 coefficient of variation
56 contrast
57 data
58 data analysis
59 days
60 delivery
61 diameter
62 dosimetry
63 filling
64 first day
65 hepatic malignancies
66 higher CoV
67 highest mean RC
68 image reconstruction
69 images
70 imaging
71 imaging protocol
72 institutional quantitative phantom study
73 institutions
74 inter-center variability
75 interest
76 interest post-radioembolization imaging
77 intra-arterial delivery
78 large spheres
79 last day
80 lesions
81 levels
82 listmode
83 location
84 lower COV
85 lowest mean RC
86 mMR non-TOF PET/MRI scanner
87 malignancy
88 maps
89 mean RC
90 measurements
91 microspheres
92 min
93 multi-institutional level
94 multi-institutional prospective phase I/II clinical trial
95 non-TOF PET/MRI scanner
96 optimal parameters
97 parameters
98 phantom
99 phantom filling
100 phantom study
101 phase I/II clinical trials
102 planning
103 point
104 positron emission tomography
105 post-radioembolization imaging
106 pre-treatment planning
107 precise location
108 preparation
109 previous studies
110 prospective phase I/II clinical trial
111 protocol
112 quantitative dosimetry
113 quantitative phantom study
114 radioactive microspheres
115 radioembolization
116 raw PET data
117 reconstruction
118 recovery coefficient
119 salvage therapy
120 scanner
121 scans
122 significant activity
123 sites
124 size
125 small spheres
126 solution
127 sphere
128 sphere diameter
129 sphere size
130 standardized phantom filling
131 study
132 therapy
133 time points
134 tomography
135 trials
136 variability
137 variation
138 vendor-provided attenuation map
139 volume
140 volume of interest
141 yttrium-90 PET
142 schema:name Multi institutional quantitative phantom study of yttrium-90 PET in PET/MRI: the MR-QUEST study
143 schema:pagination 7
144 schema:productId N69bd30bbff134e2f885e999e779f31e1
145 Nb83c65c0ee71498d811e3841203d15cc
146 Nc5eae44c7ad64d7bb09ca7819b4fde84
147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101279347
148 https://doi.org/10.1186/s40658-018-0206-y
149 schema:sdDatePublished 2021-11-01T18:32
150 schema:sdLicense https://scigraph.springernature.com/explorer/license/
151 schema:sdPublisher N2385914c4385442eb79e2b6a434ab996
152 schema:url https://doi.org/10.1186/s40658-018-0206-y
153 sgo:license sg:explorer/license/
154 sgo:sdDataset articles
155 rdf:type schema:ScholarlyArticle
156 N05d5f867bbea4b04888a50ac00c6b123 rdf:first sg:person.01300356305.23
157 rdf:rest Ne140fc275d224b769bf933d4e435456e
158 N06f02b912fd44581a7217c0621bbea8b rdf:first sg:person.0752337507.02
159 rdf:rest Ncf04aad3084049f1a281e0f8f26350e3
160 N09e44ec3ec784373a59217af83b33d52 schema:issueNumber 1
161 rdf:type schema:PublicationIssue
162 N0c88386894ed47c98a3457dea5a259c0 rdf:first sg:person.01136435402.10
163 rdf:rest Nb6190ea333d54d4c9ce37490eb2966af
164 N1637f50284e94410997f39e00aee9157 rdf:first sg:person.01041463631.54
165 rdf:rest N2604b0f9360947e5b30507a81921f808
166 N2385914c4385442eb79e2b6a434ab996 schema:name Springer Nature - SN SciGraph project
167 rdf:type schema:Organization
168 N2604b0f9360947e5b30507a81921f808 rdf:first sg:person.0700114565.64
169 rdf:rest N30258150503e4c6db5a5dc3301414b46
170 N30258150503e4c6db5a5dc3301414b46 rdf:first sg:person.013000403137.02
171 rdf:rest Nc280eab73362473a8cecbafa9405de3b
172 N3e081bb7e30d42eeb45f21b520717dd6 rdf:first sg:person.0707521773.90
173 rdf:rest N1637f50284e94410997f39e00aee9157
174 N69bd30bbff134e2f885e999e779f31e1 schema:name dimensions_id
175 schema:value pub.1101279347
176 rdf:type schema:PropertyValue
177 N6dd7d471ecf043b9b24f46486c16d57d schema:volumeNumber 5
178 rdf:type schema:PublicationVolume
179 Na87cf7b1c74645cc88bd1a94d05202f4 rdf:first sg:person.0714032237.70
180 rdf:rest Ndda113932f9444b4b7c821bad4030f05
181 Nb6190ea333d54d4c9ce37490eb2966af rdf:first sg:person.01205515334.53
182 rdf:rest Nb841de1507784dd391364c95d5c37d20
183 Nb83c65c0ee71498d811e3841203d15cc schema:name pubmed_id
184 schema:value 29616365
185 rdf:type schema:PropertyValue
186 Nb841de1507784dd391364c95d5c37d20 rdf:first sg:person.0624645453.10
187 rdf:rest rdf:nil
188 Nc280eab73362473a8cecbafa9405de3b rdf:first sg:person.01025256213.08
189 rdf:rest N0c88386894ed47c98a3457dea5a259c0
190 Nc5eae44c7ad64d7bb09ca7819b4fde84 schema:name doi
191 schema:value 10.1186/s40658-018-0206-y
192 rdf:type schema:PropertyValue
193 Ncf04aad3084049f1a281e0f8f26350e3 rdf:first sg:person.01333256761.36
194 rdf:rest N05d5f867bbea4b04888a50ac00c6b123
195 Ndda113932f9444b4b7c821bad4030f05 rdf:first sg:person.0774425623.02
196 rdf:rest N3e081bb7e30d42eeb45f21b520717dd6
197 Ne140fc275d224b769bf933d4e435456e rdf:first sg:person.01344540550.29
198 rdf:rest Na87cf7b1c74645cc88bd1a94d05202f4
199 Nfb7d0576dba2435983d9837d832777c3 rdf:first sg:person.01327563235.49
200 rdf:rest N06f02b912fd44581a7217c0621bbea8b
201 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
202 schema:name Medical and Health Sciences
203 rdf:type schema:DefinedTerm
204 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
205 schema:name Clinical Sciences
206 rdf:type schema:DefinedTerm
207 sg:journal.1051885 schema:issn 2197-7364
208 schema:name EJNMMI Physics
209 schema:publisher Springer Nature
210 rdf:type schema:Periodical
211 sg:person.01025256213.08 schema:affiliation grid-institutes:grid.5406.7
212 schema:familyName Lukas
213 schema:givenName Mathias
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025256213.08
215 rdf:type schema:Person
216 sg:person.01041463631.54 schema:affiliation grid-institutes:grid.239578.2
217 schema:familyName DiFilippo
218 schema:givenName Frank P.
219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01041463631.54
220 rdf:type schema:Person
221 sg:person.01136435402.10 schema:affiliation grid-institutes:None
222 schema:familyName Tapner
223 schema:givenName Michael
224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136435402.10
225 rdf:type schema:Person
226 sg:person.01205515334.53 schema:affiliation grid-institutes:grid.4367.6
227 schema:familyName Parikh
228 schema:givenName Parag J.
229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01205515334.53
230 rdf:type schema:Person
231 sg:person.013000403137.02 schema:affiliation grid-institutes:grid.6936.a
232 schema:familyName Nekolla
233 schema:givenName Stephan G.
234 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013000403137.02
235 rdf:type schema:Person
236 sg:person.01300356305.23 schema:affiliation grid-institutes:grid.415886.6
237 schema:familyName Conti
238 schema:givenName Maurizio
239 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01300356305.23
240 rdf:type schema:Person
241 sg:person.01327563235.49 schema:affiliation grid-institutes:grid.4367.6
242 schema:familyName Maughan
243 schema:givenName Nichole M.
244 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01327563235.49
245 rdf:type schema:Person
246 sg:person.01333256761.36 schema:affiliation grid-institutes:grid.415886.6
247 schema:familyName Faul
248 schema:givenName David
249 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01333256761.36
250 rdf:type schema:Person
251 sg:person.01344540550.29 schema:affiliation grid-institutes:grid.5947.f
252 schema:familyName Elschot
253 schema:givenName Mattijs
254 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344540550.29
255 rdf:type schema:Person
256 sg:person.0624645453.10 schema:affiliation grid-institutes:grid.4367.6
257 schema:familyName Laforest
258 schema:givenName Richard
259 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0624645453.10
260 rdf:type schema:Person
261 sg:person.0700114565.64 schema:affiliation grid-institutes:grid.240324.3
262 schema:familyName Jackson
263 schema:givenName Kimberly
264 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700114565.64
265 rdf:type schema:Person
266 sg:person.0707521773.90 schema:affiliation grid-institutes:grid.185448.4
267 schema:familyName Townsend
268 schema:givenName David
269 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0707521773.90
270 rdf:type schema:Person
271 sg:person.0714032237.70 schema:affiliation grid-institutes:grid.59734.3c
272 schema:familyName Knešaurek
273 schema:givenName Karin
274 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714032237.70
275 rdf:type schema:Person
276 sg:person.0752337507.02 schema:affiliation grid-institutes:grid.254250.4
277 schema:familyName Eldib
278 schema:givenName Mootaz
279 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0752337507.02
280 rdf:type schema:Person
281 sg:person.0774425623.02 schema:affiliation grid-institutes:grid.185448.4
282 schema:familyName Leek
283 schema:givenName Francesca
284 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0774425623.02
285 rdf:type schema:Person
286 sg:pub.10.1007/s00259-007-0374-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034213847
287 https://doi.org/10.1007/s00259-007-0374-9
288 rdf:type schema:CreativeWork
289 sg:pub.10.1007/s00259-010-1470-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011368724
290 https://doi.org/10.1007/s00259-010-1470-9
291 rdf:type schema:CreativeWork
292 sg:pub.10.1007/s00259-015-3059-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038106982
293 https://doi.org/10.1007/s00259-015-3059-9
294 rdf:type schema:CreativeWork
295 sg:pub.10.1007/s00270-015-1285-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1027732509
296 https://doi.org/10.1007/s00270-015-1285-y
297 rdf:type schema:CreativeWork
298 sg:pub.10.1007/s12149-013-0726-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048095550
299 https://doi.org/10.1007/s12149-013-0726-4
300 rdf:type schema:CreativeWork
301 sg:pub.10.1186/2191-219x-3-56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019782313
302 https://doi.org/10.1186/2191-219x-3-56
303 rdf:type schema:CreativeWork
304 sg:pub.10.1186/2191-219x-3-57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025948512
305 https://doi.org/10.1186/2191-219x-3-57
306 rdf:type schema:CreativeWork
307 sg:pub.10.1186/s13550-017-0292-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085563210
308 https://doi.org/10.1186/s13550-017-0292-1
309 rdf:type schema:CreativeWork
310 sg:pub.10.1186/s40658-015-0122-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023019205
311 https://doi.org/10.1186/s40658-015-0122-3
312 rdf:type schema:CreativeWork
313 sg:pub.10.1186/s40658-016-0138-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008175278
314 https://doi.org/10.1186/s40658-016-0138-3
315 rdf:type schema:CreativeWork
316 grid-institutes:None schema:alternateName ABX-CRO Advanced Pharmaceutical Services, 1 Begonia Road, Normanhurst, NSW 2076 Australia
317 schema:name ABX-CRO Advanced Pharmaceutical Services, 1 Begonia Road, Normanhurst, NSW 2076 Australia
318 Sirtex Medical Ltd, Level 33, 101 Miller St, North Sydney, NSW 2060 Australia
319 rdf:type schema:Organization
320 grid-institutes:grid.185448.4 schema:alternateName Agency for Science Technology and Research, National University of Singapore Clinical Imaging Research Centre, 14 Medical Drive, #B1-01, Singapore, 117599 Singapore
321 schema:name Agency for Science Technology and Research, National University of Singapore Clinical Imaging Research Centre, 14 Medical Drive, #B1-01, Singapore, 117599 Singapore
322 rdf:type schema:Organization
323 grid-institutes:grid.239578.2 schema:alternateName Department of Nuclear Medicine, Cleveland Clinic, Mail Code Jb3, 9500 Euclid Ave, Cleveland, OH 44195 USA
324 schema:name Department of Nuclear Medicine, Cleveland Clinic, Mail Code Jb3, 9500 Euclid Ave, Cleveland, OH 44195 USA
325 rdf:type schema:Organization
326 grid-institutes:grid.240324.3 schema:alternateName NYU Medical Center, 333 E 38th St, New York, NY 10016 USA
327 schema:name NYU Medical Center, 333 E 38th St, New York, NY 10016 USA
328 rdf:type schema:Organization
329 grid-institutes:grid.254250.4 schema:alternateName Department of Biomedical Engineering, City College of New York, 160 Convent Ave, New York, NY 10031 USA
330 schema:name Department of Biomedical Engineering, City College of New York, 160 Convent Ave, New York, NY 10031 USA
331 Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY 10029 USA
332 rdf:type schema:Organization
333 grid-institutes:grid.415886.6 schema:alternateName Molecular Imaging, Siemens Healthineers, 810 Innovation Dr, Knoxville, TN 37932 USA
334 Siemens Healthineers, Siemens Medical Solutions USA, Inc., 40 Liberty Boulevard, Malvern, PA 19355-9998 USA
335 schema:name Molecular Imaging, Siemens Healthineers, 810 Innovation Dr, Knoxville, TN 37932 USA
336 Siemens Healthineers, Siemens Medical Solutions USA, Inc., 40 Liberty Boulevard, Malvern, PA 19355-9998 USA
337 rdf:type schema:Organization
338 grid-institutes:grid.4367.6 schema:alternateName Department of Radiation Oncology, Washington University School of Medicine, 4921 Parkview Place, Campus Box 8224, St. Louis, MO 63110 USA
339 Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway, Campus Box 8225, St. Louis, MO 63110 USA
340 schema:name Department of Radiation Oncology, Washington University School of Medicine, 4921 Parkview Place, Campus Box 8224, St. Louis, MO 63110 USA
341 Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway, Campus Box 8225, St. Louis, MO 63110 USA
342 rdf:type schema:Organization
343 grid-institutes:grid.5406.7 schema:alternateName Siemens Healthcare GmbH, Berlin, Germany
344 schema:name Department of Nuclear Medicine, Charité—Universitätsmedizin Berlin, Charitépl. 1, 10117 Berlin, Germany
345 Siemens Healthcare GmbH, Berlin, Germany
346 rdf:type schema:Organization
347 grid-institutes:grid.5947.f schema:alternateName Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Postboks 8905, 7491 Trondheim, Norway
348 schema:name Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Postboks 8905, 7491 Trondheim, Norway
349 rdf:type schema:Organization
350 grid-institutes:grid.59734.3c schema:alternateName Department of Radiology, Icahn School of Medicine at Mt. Sinai, One G. Levy Pl., Box 1141, New York, NY 10029 USA
351 schema:name Department of Radiology, Icahn School of Medicine at Mt. Sinai, One G. Levy Pl., Box 1141, New York, NY 10029 USA
352 rdf:type schema:Organization
353 grid-institutes:grid.6936.a schema:alternateName Klinik und Poliklinik für Nuklearmedizin, TU München, Strasse 22, 81675, Munich, Germany
354 schema:name Klinik und Poliklinik für Nuklearmedizin, TU München, Strasse 22, 81675, Munich, Germany
355 rdf:type schema:Organization
 




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


...