Noise-Induced Variability of Immuno-PET with Zirconium-89-Labeled Antibodies: an Analysis Based on Count-Reduced Clinical Images View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-04-30

AUTHORS

Yvonne W. S. Jauw, Dennis F. Heijtel, Josée M. Zijlstra, Otto S. Hoekstra, Henrica C. W. de Vet, Danielle J. Vugts, Henk M. Verheul, Ronald Boellaard, Sonja Zweegman, Guus A. M. S. van Dongen, C. Willemien Menke-van der Houven van Oordt, Adriaan A. Lammertsma, Marc C. Huisman

ABSTRACT

PurposePositron emission tomography (PET) with Zirconium-89 (Zr-89)-labeled antibodies can be used for in vivo quantification of antibody uptake. Knowledge about measurement variability is required to ensure correct interpretation. However, no clinical studies have been reported on measurement variability of Zr-89 immuno-PET. As variability due to low signal-to-noise is part of the total measurement variability, the aim of this study was to assess noise-induced variability of Zr-89 -immuno-PET using count-reduced clinical images.ProceduresData were acquired from three previously reported clinical studies with [89Zr]antiCD20 (74 MBq, n = 7), [89Zr]antiEGFR (37 MBq, n = 7), and [89Zr]antiCD44 (37 MBq, n = 13), with imaging obtained 1 to 6 days post injection (D0–D6). Volumes of interest (VOIs) were manually delineated for liver, spleen, kidney, lung, brain, and tumor. For blood pool and bone marrow, fixed-size VOIs were used. Original PET list mode data were split and reconstructed, resulting in two count-reduced images at 50 % of the original injected dose (e.g., 37 MBq74inj).Repeatability coefficients (RC) were obtained from Bland-Altman analysis on standardized uptake values (SUV) derived from VOIs applied to these images.ResultsThe RC for the combined manually delineated organs for [89Zr] antiCD20 (37 MBq74inj) increased from D0 to D6 and was less than 6 % at all time points. Blood pool and bone marrow had higher RC, up to 43 % for 37 MBq74inj at D6. For tumor, the RC was up to 42 % for [89Zr]antiCD20 (37 MBq74inj). For [89Zr]antiCD20, (18 MBq74inj), [89Zr]antiEGFR (18 MBq37inj), and [89Zr]antiCD44 (18 MBq37inj), measurement variability was independent of the investigated antibody.ConclusionsBased on this study, noise-induced variability results in a RC for Zr-89-immuno-PET (37 MBq) around 6 % for manually delineated organs combined, increasing up to 43 % at D6 for blood pool and bone marrow, assuming similar biodistribution of antibodies. The signal-to-noise ratio leads to tumor RC up to 42 %. More... »

PAGES

1025-1034

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11307-018-1200-4

DOI

http://dx.doi.org/10.1007/s11307-018-1200-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103682533

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29713958


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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Antibodies, Monoclonal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Positron-Emission Tomography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radioisotopes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Zirconium", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.16872.3a", 
          "name": [
            "Department of Hematology, VU University Medical Center, Amsterdam, The Netherlands", 
            "Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jauw", 
        "givenName": "Yvonne W. S.", 
        "id": "sg:person.0716757006.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716757006.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Philips Healthcare, Best, the Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.417284.c", 
          "name": [
            "Philips Healthcare, Best, the Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Heijtel", 
        "givenName": "Dennis F.", 
        "id": "sg:person.01362122611.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362122611.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Hematology, VU University Medical Center, Amsterdam, The Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.16872.3a", 
          "name": [
            "Department of Hematology, VU University Medical Center, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zijlstra", 
        "givenName": "Jos\u00e9e M.", 
        "id": "sg:person.0646354015.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646354015.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.16872.3a", 
          "name": [
            "Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hoekstra", 
        "givenName": "Otto S.", 
        "id": "sg:person.0621551653.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621551653.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.16872.3a", 
          "name": [
            "Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "de Vet", 
        "givenName": "Henrica C. W.", 
        "id": "sg:person.010311340377.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010311340377.98"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.16872.3a", 
          "name": [
            "Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vugts", 
        "givenName": "Danielle J.", 
        "id": "sg:person.0665425270.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665425270.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Medical Oncology, VU University Medical Center, Amsterdam, The Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.16872.3a", 
          "name": [
            "Department of Medical Oncology, VU University Medical Center, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Verheul", 
        "givenName": "Henk M.", 
        "id": "sg:person.011543041217.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011543041217.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, The Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.4494.d", 
          "name": [
            "Philips Healthcare, Best, the Netherlands", 
            "Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Boellaard", 
        "givenName": "Ronald", 
        "id": "sg:person.01361420011.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361420011.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Hematology, VU University Medical Center, Amsterdam, The Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.16872.3a", 
          "name": [
            "Department of Hematology, VU University Medical Center, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zweegman", 
        "givenName": "Sonja", 
        "id": "sg:person.01110171530.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01110171530.57"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.16872.3a", 
          "name": [
            "Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van Dongen", 
        "givenName": "Guus A. M. S.", 
        "id": "sg:person.0732223564.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0732223564.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Medical Oncology, VU University Medical Center, Amsterdam, The Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.16872.3a", 
          "name": [
            "Department of Medical Oncology, VU University Medical Center, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "der Houven van Oordt", 
        "givenName": "C. Willemien Menke-van", 
        "id": "sg:person.013412226263.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013412226263.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.16872.3a", 
          "name": [
            "Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lammertsma", 
        "givenName": "Adriaan A.", 
        "id": "sg:person.01352511753.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01352511753.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.16872.3a", 
          "name": [
            "Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Huisman", 
        "givenName": "Marc C.", 
        "id": "sg:person.01006327107.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01006327107.21"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s10928-011-9232-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041703884", 
          "https://doi.org/10.1007/s10928-011-9232-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-014-2830-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014523383", 
          "https://doi.org/10.1007/s00259-014-2830-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13075-016-1166-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028761351", 
          "https://doi.org/10.1186/s13075-016-1166-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-014-2961-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008918527", 
          "https://doi.org/10.1007/s00259-014-2961-x"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-04-30", 
    "datePublishedReg": "2018-04-30", 
    "description": "PurposePositron emission tomography (PET) with Zirconium-89 (Zr-89)-labeled antibodies can be used for in vivo quantification of antibody uptake. Knowledge about measurement variability is required to ensure correct interpretation. However, no clinical studies have been reported on measurement variability of Zr-89 immuno-PET. As variability due to low signal-to-noise is part of the total measurement variability, the aim of this study was to assess noise-induced variability of Zr-89 -immuno-PET using count-reduced clinical images.ProceduresData were acquired from three previously reported clinical studies with [89Zr]antiCD20 (74\u00a0MBq, n\u2009=\u20097), [89Zr]antiEGFR (37\u00a0MBq, n\u2009=\u20097), and [89Zr]antiCD44 (37\u00a0MBq, n\u2009=\u200913), with imaging obtained 1 to 6\u00a0days post injection (D0\u2013D6). Volumes of interest (VOIs) were manually delineated for liver, spleen, kidney, lung, brain, and tumor. For blood pool and bone marrow, fixed-size VOIs were used. Original PET list mode data were split and reconstructed, resulting in two count-reduced images at 50\u00a0% of the original injected dose (e.g., 37\u00a0MBq74inj).Repeatability coefficients (RC) were obtained from Bland-Altman analysis on standardized uptake values (SUV) derived from VOIs applied to these images.ResultsThe RC for the combined manually delineated organs for [89Zr] antiCD20 (37 MBq74inj) increased from D0 to D6 and was less than 6\u00a0% at all time points. Blood pool and bone marrow had higher RC, up to 43\u00a0% for 37 MBq74inj at D6. For tumor, the RC was up to 42\u00a0% for [89Zr]antiCD20 (37 MBq74inj). For [89Zr]antiCD20, (18 MBq74inj), [89Zr]antiEGFR (18 MBq37inj), and [89Zr]antiCD44 (18 MBq37inj), measurement variability was independent of the investigated antibody.ConclusionsBased on this study, noise-induced variability results in a RC for Zr-89-immuno-PET (37\u00a0MBq) around 6\u00a0% for manually delineated organs combined, increasing up to 43\u00a0% at D6 for blood pool and bone marrow, assuming similar biodistribution of antibodies. The signal-to-noise ratio leads to tumor RC up to 42\u00a0%.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s11307-018-1200-4", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.8570267", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1412891", 
        "issn": [
          "1095-0397", 
          "1878-5751"
        ], 
        "name": "Molecular Imaging and Biology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "20"
      }
    ], 
    "keywords": [
      "PurposePositron emission tomography", 
      "standardized uptake value", 
      "bone marrow", 
      "clinical studies", 
      "blood pool", 
      "immuno-PET", 
      "volume of interest", 
      "repeatability coefficient", 
      "days post injection", 
      "measurement variability", 
      "antibody uptake", 
      "Bland-Altman analysis", 
      "uptake value", 
      "emission tomography", 
      "similar biodistribution", 
      "post injection", 
      "total measurement variability", 
      "time points", 
      "marrow", 
      "antibodies", 
      "zirconium-89", 
      "clinical images", 
      "vivo quantification", 
      "tumors", 
      "higher repeatability coefficients", 
      "organs", 
      "lung", 
      "spleen", 
      "kidney", 
      "noise-induced variability", 
      "study", 
      "liver", 
      "dose", 
      "brain", 
      "tomography", 
      "biodistribution", 
      "injection", 
      "D6", 
      "count", 
      "aim", 
      "correct interpretation", 
      "PET list-mode data", 
      "uptake", 
      "pool", 
      "variability", 
      "list-mode data", 
      "analysis", 
      "volume", 
      "variability results", 
      "data", 
      "knowledge", 
      "quantification", 
      "ratio", 
      "results", 
      "images", 
      "part", 
      "D0", 
      "values", 
      "signals", 
      "point", 
      "interest", 
      "interpretation", 
      "low signal", 
      "noise ratio", 
      "coefficient", 
      "mode data", 
      "noise", 
      "Zr"
    ], 
    "name": "Noise-Induced Variability of Immuno-PET with Zirconium-89-Labeled Antibodies: an Analysis Based on Count-Reduced Clinical Images", 
    "pagination": "1025-1034", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1103682533"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11307-018-1200-4"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29713958"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11307-018-1200-4", 
      "https://app.dimensions.ai/details/publication/pub.1103682533"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-20T07:34", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_787.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s11307-018-1200-4"
  }
]
 

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/s11307-018-1200-4'

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/s11307-018-1200-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11307-018-1200-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11307-018-1200-4'


 

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

273 TRIPLES      22 PREDICATES      105 URIs      93 LITERALS      14 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11307-018-1200-4 schema:about N2934061407384398909ac9a9e418e304
2 N6c648afc3d5b40d5b4448fcb45988187
3 N9305b293299841ee8653aeda73941518
4 Nb479d7f15ddf49228c31b158dc5bfc41
5 Nc2c80e341a3c460398b451007ed4ecf4
6 Ndcd5b1d31e954d02bfe77120cc539431
7 Nff580385292f4d378c8cc1481dc76ada
8 anzsrc-for:11
9 anzsrc-for:1103
10 schema:author N2f916d31a1f145ef92b9cfa6b58cb613
11 schema:citation sg:pub.10.1007/s00259-014-2830-7
12 sg:pub.10.1007/s00259-014-2961-x
13 sg:pub.10.1007/s10928-011-9232-2
14 sg:pub.10.1186/s13075-016-1166-z
15 schema:datePublished 2018-04-30
16 schema:datePublishedReg 2018-04-30
17 schema:description PurposePositron emission tomography (PET) with Zirconium-89 (Zr-89)-labeled antibodies can be used for in vivo quantification of antibody uptake. Knowledge about measurement variability is required to ensure correct interpretation. However, no clinical studies have been reported on measurement variability of Zr-89 immuno-PET. As variability due to low signal-to-noise is part of the total measurement variability, the aim of this study was to assess noise-induced variability of Zr-89 -immuno-PET using count-reduced clinical images.ProceduresData were acquired from three previously reported clinical studies with [89Zr]antiCD20 (74 MBq, n = 7), [89Zr]antiEGFR (37 MBq, n = 7), and [89Zr]antiCD44 (37 MBq, n = 13), with imaging obtained 1 to 6 days post injection (D0–D6). Volumes of interest (VOIs) were manually delineated for liver, spleen, kidney, lung, brain, and tumor. For blood pool and bone marrow, fixed-size VOIs were used. Original PET list mode data were split and reconstructed, resulting in two count-reduced images at 50 % of the original injected dose (e.g., 37 MBq74inj).Repeatability coefficients (RC) were obtained from Bland-Altman analysis on standardized uptake values (SUV) derived from VOIs applied to these images.ResultsThe RC for the combined manually delineated organs for [89Zr] antiCD20 (37 MBq74inj) increased from D0 to D6 and was less than 6 % at all time points. Blood pool and bone marrow had higher RC, up to 43 % for 37 MBq74inj at D6. For tumor, the RC was up to 42 % for [89Zr]antiCD20 (37 MBq74inj). For [89Zr]antiCD20, (18 MBq74inj), [89Zr]antiEGFR (18 MBq37inj), and [89Zr]antiCD44 (18 MBq37inj), measurement variability was independent of the investigated antibody.ConclusionsBased on this study, noise-induced variability results in a RC for Zr-89-immuno-PET (37 MBq) around 6 % for manually delineated organs combined, increasing up to 43 % at D6 for blood pool and bone marrow, assuming similar biodistribution of antibodies. The signal-to-noise ratio leads to tumor RC up to 42 %.
18 schema:genre article
19 schema:inLanguage en
20 schema:isAccessibleForFree true
21 schema:isPartOf N7ba29ea04c4a4390b8b0140f930158db
22 Nb87fc455b50b4e259670a5e32a378083
23 sg:journal.1412891
24 schema:keywords Bland-Altman analysis
25 D0
26 D6
27 PET list-mode data
28 PurposePositron emission tomography
29 Zr
30 aim
31 analysis
32 antibodies
33 antibody uptake
34 biodistribution
35 blood pool
36 bone marrow
37 brain
38 clinical images
39 clinical studies
40 coefficient
41 correct interpretation
42 count
43 data
44 days post injection
45 dose
46 emission tomography
47 higher repeatability coefficients
48 images
49 immuno-PET
50 injection
51 interest
52 interpretation
53 kidney
54 knowledge
55 list-mode data
56 liver
57 low signal
58 lung
59 marrow
60 measurement variability
61 mode data
62 noise
63 noise ratio
64 noise-induced variability
65 organs
66 part
67 point
68 pool
69 post injection
70 quantification
71 ratio
72 repeatability coefficient
73 results
74 signals
75 similar biodistribution
76 spleen
77 standardized uptake value
78 study
79 time points
80 tomography
81 total measurement variability
82 tumors
83 uptake
84 uptake value
85 values
86 variability
87 variability results
88 vivo quantification
89 volume
90 volume of interest
91 zirconium-89
92 schema:name Noise-Induced Variability of Immuno-PET with Zirconium-89-Labeled Antibodies: an Analysis Based on Count-Reduced Clinical Images
93 schema:pagination 1025-1034
94 schema:productId N14d0db40d1944aeeaa76766b89f2de57
95 N79d83441dcfb462088819cfc0e58e8b2
96 Nf8d97bd5b2e148bc92ef7c1dfcfda0a6
97 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103682533
98 https://doi.org/10.1007/s11307-018-1200-4
99 schema:sdDatePublished 2022-05-20T07:34
100 schema:sdLicense https://scigraph.springernature.com/explorer/license/
101 schema:sdPublisher N198ff4bc8d9a4bcc99e55f2fa456d647
102 schema:url https://doi.org/10.1007/s11307-018-1200-4
103 sgo:license sg:explorer/license/
104 sgo:sdDataset articles
105 rdf:type schema:ScholarlyArticle
106 N01847f47f9ff4b5ab70d735c57fc4cad rdf:first sg:person.013412226263.35
107 rdf:rest N75e07b20bb684160bd8306bfc4ca5765
108 N14d0db40d1944aeeaa76766b89f2de57 schema:name doi
109 schema:value 10.1007/s11307-018-1200-4
110 rdf:type schema:PropertyValue
111 N1558f85645c040bbad514b31d298903a rdf:first sg:person.01361420011.63
112 rdf:rest Nd4591b7ebc494a6d9d9a50cafb9b943c
113 N198ff4bc8d9a4bcc99e55f2fa456d647 schema:name Springer Nature - SN SciGraph project
114 rdf:type schema:Organization
115 N2934061407384398909ac9a9e418e304 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Neoplasms
117 rdf:type schema:DefinedTerm
118 N2f916d31a1f145ef92b9cfa6b58cb613 rdf:first sg:person.0716757006.38
119 rdf:rest Ne6f51229c80b43a7915e70f457d9f87e
120 N35e998e041134e4eaf223c36562e663f rdf:first sg:person.011543041217.55
121 rdf:rest N1558f85645c040bbad514b31d298903a
122 N6c648afc3d5b40d5b4448fcb45988187 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Radioisotopes
124 rdf:type schema:DefinedTerm
125 N701d6c01f2c54ab1a7541283457ba273 rdf:first sg:person.0732223564.35
126 rdf:rest N01847f47f9ff4b5ab70d735c57fc4cad
127 N75e07b20bb684160bd8306bfc4ca5765 rdf:first sg:person.01352511753.53
128 rdf:rest N9585a45d4b1d497d88ff72a0060f9bc3
129 N79d83441dcfb462088819cfc0e58e8b2 schema:name pubmed_id
130 schema:value 29713958
131 rdf:type schema:PropertyValue
132 N7ba29ea04c4a4390b8b0140f930158db schema:issueNumber 6
133 rdf:type schema:PublicationIssue
134 N7f2320539eb3481a92064e0a25761cf8 rdf:first sg:person.0665425270.49
135 rdf:rest N35e998e041134e4eaf223c36562e663f
136 N9305b293299841ee8653aeda73941518 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Reproducibility of Results
138 rdf:type schema:DefinedTerm
139 N9585a45d4b1d497d88ff72a0060f9bc3 rdf:first sg:person.01006327107.21
140 rdf:rest rdf:nil
141 N96e3410bad344c33b5b196e7e46e511b rdf:first sg:person.010311340377.98
142 rdf:rest N7f2320539eb3481a92064e0a25761cf8
143 Nb479d7f15ddf49228c31b158dc5bfc41 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Antibodies, Monoclonal
145 rdf:type schema:DefinedTerm
146 Nb87fc455b50b4e259670a5e32a378083 schema:volumeNumber 20
147 rdf:type schema:PublicationVolume
148 Nc2c80e341a3c460398b451007ed4ecf4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Positron-Emission Tomography
150 rdf:type schema:DefinedTerm
151 Nc81e0eb1733a4a5ba984c9a3bf1a103b rdf:first sg:person.0621551653.25
152 rdf:rest N96e3410bad344c33b5b196e7e46e511b
153 Nd4591b7ebc494a6d9d9a50cafb9b943c rdf:first sg:person.01110171530.57
154 rdf:rest N701d6c01f2c54ab1a7541283457ba273
155 Ndcd5b1d31e954d02bfe77120cc539431 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Zirconium
157 rdf:type schema:DefinedTerm
158 Ne6f51229c80b43a7915e70f457d9f87e rdf:first sg:person.01362122611.35
159 rdf:rest Nf5b998326b3a40668c650a38d367bfca
160 Nf5b998326b3a40668c650a38d367bfca rdf:first sg:person.0646354015.17
161 rdf:rest Nc81e0eb1733a4a5ba984c9a3bf1a103b
162 Nf8d97bd5b2e148bc92ef7c1dfcfda0a6 schema:name dimensions_id
163 schema:value pub.1103682533
164 rdf:type schema:PropertyValue
165 Nff580385292f4d378c8cc1481dc76ada schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Humans
167 rdf:type schema:DefinedTerm
168 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
169 schema:name Medical and Health Sciences
170 rdf:type schema:DefinedTerm
171 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
172 schema:name Clinical Sciences
173 rdf:type schema:DefinedTerm
174 sg:grant.8570267 http://pending.schema.org/fundedItem sg:pub.10.1007/s11307-018-1200-4
175 rdf:type schema:MonetaryGrant
176 sg:journal.1412891 schema:issn 1095-0397
177 1878-5751
178 schema:name Molecular Imaging and Biology
179 schema:publisher Springer Nature
180 rdf:type schema:Periodical
181 sg:person.01006327107.21 schema:affiliation grid-institutes:grid.16872.3a
182 schema:familyName Huisman
183 schema:givenName Marc C.
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01006327107.21
185 rdf:type schema:Person
186 sg:person.010311340377.98 schema:affiliation grid-institutes:grid.16872.3a
187 schema:familyName de Vet
188 schema:givenName Henrica C. W.
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010311340377.98
190 rdf:type schema:Person
191 sg:person.01110171530.57 schema:affiliation grid-institutes:grid.16872.3a
192 schema:familyName Zweegman
193 schema:givenName Sonja
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01110171530.57
195 rdf:type schema:Person
196 sg:person.011543041217.55 schema:affiliation grid-institutes:grid.16872.3a
197 schema:familyName Verheul
198 schema:givenName Henk M.
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011543041217.55
200 rdf:type schema:Person
201 sg:person.013412226263.35 schema:affiliation grid-institutes:grid.16872.3a
202 schema:familyName der Houven van Oordt
203 schema:givenName C. Willemien Menke-van
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013412226263.35
205 rdf:type schema:Person
206 sg:person.01352511753.53 schema:affiliation grid-institutes:grid.16872.3a
207 schema:familyName Lammertsma
208 schema:givenName Adriaan A.
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01352511753.53
210 rdf:type schema:Person
211 sg:person.01361420011.63 schema:affiliation grid-institutes:grid.4494.d
212 schema:familyName Boellaard
213 schema:givenName Ronald
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361420011.63
215 rdf:type schema:Person
216 sg:person.01362122611.35 schema:affiliation grid-institutes:grid.417284.c
217 schema:familyName Heijtel
218 schema:givenName Dennis F.
219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362122611.35
220 rdf:type schema:Person
221 sg:person.0621551653.25 schema:affiliation grid-institutes:grid.16872.3a
222 schema:familyName Hoekstra
223 schema:givenName Otto S.
224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621551653.25
225 rdf:type schema:Person
226 sg:person.0646354015.17 schema:affiliation grid-institutes:grid.16872.3a
227 schema:familyName Zijlstra
228 schema:givenName Josée M.
229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646354015.17
230 rdf:type schema:Person
231 sg:person.0665425270.49 schema:affiliation grid-institutes:grid.16872.3a
232 schema:familyName Vugts
233 schema:givenName Danielle J.
234 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665425270.49
235 rdf:type schema:Person
236 sg:person.0716757006.38 schema:affiliation grid-institutes:grid.16872.3a
237 schema:familyName Jauw
238 schema:givenName Yvonne W. S.
239 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716757006.38
240 rdf:type schema:Person
241 sg:person.0732223564.35 schema:affiliation grid-institutes:grid.16872.3a
242 schema:familyName van Dongen
243 schema:givenName Guus A. M. S.
244 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0732223564.35
245 rdf:type schema:Person
246 sg:pub.10.1007/s00259-014-2830-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014523383
247 https://doi.org/10.1007/s00259-014-2830-7
248 rdf:type schema:CreativeWork
249 sg:pub.10.1007/s00259-014-2961-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1008918527
250 https://doi.org/10.1007/s00259-014-2961-x
251 rdf:type schema:CreativeWork
252 sg:pub.10.1007/s10928-011-9232-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041703884
253 https://doi.org/10.1007/s10928-011-9232-2
254 rdf:type schema:CreativeWork
255 sg:pub.10.1186/s13075-016-1166-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1028761351
256 https://doi.org/10.1186/s13075-016-1166-z
257 rdf:type schema:CreativeWork
258 grid-institutes:grid.16872.3a schema:alternateName Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands
259 Department of Hematology, VU University Medical Center, Amsterdam, The Netherlands
260 Department of Medical Oncology, VU University Medical Center, Amsterdam, The Netherlands
261 Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands
262 schema:name Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands
263 Department of Hematology, VU University Medical Center, Amsterdam, The Netherlands
264 Department of Medical Oncology, VU University Medical Center, Amsterdam, The Netherlands
265 Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands
266 rdf:type schema:Organization
267 grid-institutes:grid.417284.c schema:alternateName Philips Healthcare, Best, the Netherlands
268 schema:name Philips Healthcare, Best, the Netherlands
269 rdf:type schema:Organization
270 grid-institutes:grid.4494.d schema:alternateName Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, The Netherlands
271 schema:name Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, The Netherlands
272 Philips Healthcare, Best, the Netherlands
273 rdf:type schema:Organization
 




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


...