Visual versus automated analysis of [I-123]FP-CIT SPECT scans in parkinsonism View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-06-20

AUTHORS

Elina Mäkinen, Juho Joutsa, Jarkko Johansson, Maija Mäki, Marko Seppänen, Valtteri Kaasinen

ABSTRACT

The clinical evaluation of dopamine transporter (DAT) SPECT scans typically relies on visual analysis in combination with an automated semi-quantitative method. The interpretation of the results may be difficult in cases that show disagreement between the two methods on the borderline of abnormality. The frequency and clinical characteristics of such cases are unclear. Automated semi-quantitative analyses and independent visual analyses by two experienced nuclear medicine physicians and four inexperienced raters were performed for 120 patients with clinically uncertain parkinsonism scanned with brain [I-123]FP-CIT SPECT. Agreement was evaluated with kappa statistics. The clinical characteristics of patients who had discrepant findings between the two analysis methods were investigated. The expert raters outperformed nonexperts in terms of agreement between visual and automated analyses (κ = 0.66, 0.72 vs. 0.23–0.54) and between raters (κ = 0.81 vs. 0.44–0.63). Twelve patients showed discrepant findings between the visual and automated analyses. These patients were older compared to other patients (p = 0.023), had 17.6 % lower mean striatal tracer binding compared to normal scans (p = 0.003) and 62.7 % higher compared to abnormal scans (p < 0.001). After a minimum of 4.5 years of clinical follow-up, none of these patients developed neurodegenerative parkinsonism. Clinical DAT SPECT scans show discrepancies between visual and automated analyses in 10 % of cases. The patients with discrepant findings are older, show normal to slightly abnormal tracer binding, and importantly, do not develop neurodegenerative parkinsonism syndromes. Visual analyses by experienced raters are reliable, but the diagnostic accuracy in discrepant cases can be improved by an automated method. More... »

PAGES

1309-1318

References to SciGraph publications

  • 2015-12-16. Predictors of normal and abnormal outcome in clinical brain dopamine transporter imaging in JOURNAL OF NEURAL TRANSMISSION
  • 2006-12. Comparative analysis of visual and semi-quantitative assessment of striatal [123I]FP-CIT-SPET binding in Parkinson's disease in NEUROLOGICAL SCIENCES
  • 2010-12-02. SPECT imaging evaluation in movement disorders: far beyond visual assessment in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2012-11-16. European multicentre database of healthy controls for [123I]FP-CIT SPECT (ENC-DAT): age-related effects, gender differences and evaluation of different methods of analysis in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2015-07-02. Dopamine transporter imaging in essential tremor with and without parkinsonian features in JOURNAL OF NEURAL TRANSMISSION
  • 2012-03-03. SPECT study with I-123-Ioflupane (DaTSCAN) in patients with essential tremor. Is there any correlation with Parkinson’s disease? in ANNALS OF NUCLEAR MEDICINE
  • 2016-01-18. Implementation of the European multicentre database of healthy controls for [123I]FP-CIT SPECT increases diagnostic accuracy in patients with clinically uncertain parkinsonian syndromes in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2011-07-13. Visual assessment of dopaminergic degeneration pattern in 123I-FP-CIT SPECT differentiates patients with atypical parkinsonian syndromes and idiopathic Parkinson's disease in JOURNAL OF NEUROLOGY
  • 2014-05-28. Differences in striatal dopamine transporter density between tremor dominant and non-tremor Parkinson’s disease in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00702-016-1586-6

    DOI

    http://dx.doi.org/10.1007/s00702-016-1586-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1022644220

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/27324804


    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/2008/1109", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Neurosciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged, 80 and over", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Brain", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Dopamine Plasma Membrane Transport Proteins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Follow-Up Studies", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Image Interpretation, Computer-Assisted", 
            "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": "Observer Variation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Parkinsonian Disorders", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Pattern Recognition, Automated", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Professional Competence", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Prognosis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Radiopharmaceuticals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Reproducibility of Results", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Tomography, Emission-Computed, Single-Photon", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Tropanes", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland", 
              "id": "http://www.grid.ac/institutes/grid.410552.7", 
              "name": [
                "Department of Neurology, University of Turku, Turku, Finland", 
                "Division of Clinical Neurosciences, Turku University Hospital, Turku, Finland", 
                "Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "M\u00e4kinen", 
            "givenName": "Elina", 
            "id": "sg:person.013050503235.96", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013050503235.96"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Turku PET Centre, University of Turku, Turku, Finland", 
              "id": "http://www.grid.ac/institutes/grid.470895.7", 
              "name": [
                "Department of Neurology, University of Turku, Turku, Finland", 
                "Division of Clinical Neurosciences, Turku University Hospital, Turku, Finland", 
                "Turku PET Centre, University of Turku, Turku, Finland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Joutsa", 
            "givenName": "Juho", 
            "id": "sg:person.0631212202.56", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0631212202.56"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Turku PET Centre, University of Turku, Turku, Finland", 
              "id": "http://www.grid.ac/institutes/grid.470895.7", 
              "name": [
                "Turku PET Centre, University of Turku, Turku, Finland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Johansson", 
            "givenName": "Jarkko", 
            "id": "sg:person.01336206345.22", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336206345.22"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland", 
              "id": "http://www.grid.ac/institutes/grid.410552.7", 
              "name": [
                "Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "M\u00e4ki", 
            "givenName": "Maija", 
            "id": "sg:person.01350666000.15", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01350666000.15"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland", 
              "id": "http://www.grid.ac/institutes/grid.410552.7", 
              "name": [
                "Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sepp\u00e4nen", 
            "givenName": "Marko", 
            "id": "sg:person.01231750412.31", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231750412.31"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Turku PET Centre, University of Turku, Turku, Finland", 
              "id": "http://www.grid.ac/institutes/grid.470895.7", 
              "name": [
                "Department of Neurology, University of Turku, Turku, Finland", 
                "Division of Clinical Neurosciences, Turku University Hospital, Turku, Finland", 
                "Turku PET Centre, University of Turku, Turku, Finland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kaasinen", 
            "givenName": "Valtteri", 
            "id": "sg:person.0661656645.23", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0661656645.23"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s10072-006-0718-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033185702", 
              "https://doi.org/10.1007/s10072-006-0718-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00415-011-6163-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020760080", 
              "https://doi.org/10.1007/s00415-011-6163-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-010-1664-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040336213", 
              "https://doi.org/10.1007/s00259-010-1664-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-012-2276-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008102551", 
              "https://doi.org/10.1007/s00259-012-2276-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12149-012-0577-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031276052", 
              "https://doi.org/10.1007/s12149-012-0577-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-015-3304-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017835976", 
              "https://doi.org/10.1007/s00259-015-3304-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00702-015-1495-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021490118", 
              "https://doi.org/10.1007/s00702-015-1495-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00702-015-1419-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026390364", 
              "https://doi.org/10.1007/s00702-015-1419-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-014-2796-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036293310", 
              "https://doi.org/10.1007/s00259-014-2796-5"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2016-06-20", 
        "datePublishedReg": "2016-06-20", 
        "description": "The clinical evaluation of dopamine transporter (DAT) SPECT scans typically relies on visual analysis in combination with an automated semi-quantitative method. The interpretation of the results may be difficult in cases that show disagreement between the two methods on the borderline of abnormality. The frequency and clinical characteristics of such cases are unclear. Automated semi-quantitative analyses and independent visual analyses by two experienced nuclear medicine physicians and four inexperienced raters were performed for 120 patients with clinically uncertain parkinsonism scanned with brain [I-123]FP-CIT SPECT. Agreement was evaluated with kappa statistics. The clinical characteristics of patients who had discrepant findings between the two analysis methods were investigated. The expert raters outperformed nonexperts in terms of agreement between visual and automated analyses (\u03ba\u00a0=\u00a00.66, 0.72 vs. 0.23\u20130.54) and between raters (\u03ba\u00a0=\u00a00.81 vs. 0.44\u20130.63). Twelve patients showed discrepant findings between the visual and automated analyses. These patients were older compared to other patients (p\u00a0=\u00a00.023), had 17.6\u00a0% lower mean striatal tracer binding compared to normal scans (p\u00a0=\u00a00.003) and 62.7\u00a0% higher compared to abnormal scans (p\u00a0<\u00a00.001). After a minimum of 4.5\u00a0years of clinical follow-up, none of these patients developed neurodegenerative parkinsonism. Clinical DAT SPECT scans show discrepancies between visual and automated analyses in 10\u00a0% of cases. The patients with discrepant findings are older, show normal to slightly abnormal tracer binding, and importantly, do not develop neurodegenerative parkinsonism syndromes. Visual analyses by experienced raters are reliable, but the diagnostic accuracy in discrepant cases can be improved by an automated method.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s00702-016-1586-6", 
        "inLanguage": "en", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1312227", 
            "issn": [
              "0300-9564", 
              "1435-1463"
            ], 
            "name": "Journal of Neural Transmission", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "11", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "123"
          }
        ], 
        "keywords": [
          "clinical characteristics", 
          "SPECT scans", 
          "experienced nuclear medicine physicians", 
          "discrepant findings", 
          "dopamine transporter SPECT", 
          "CIT SPECT scans", 
          "nuclear medicine physicians", 
          "DAT SPECT scans", 
          "uncertain parkinsonism", 
          "independent visual analysis", 
          "abnormal scans", 
          "normal scans", 
          "neurodegenerative parkinsonism", 
          "parkinsonism syndromes", 
          "clinical evaluation", 
          "medicine physicians", 
          "CIT SPECT", 
          "abnormal tracer", 
          "patients", 
          "discrepant cases", 
          "parkinsonism", 
          "diagnostic accuracy", 
          "tracer binding", 
          "kappa statistic", 
          "scans", 
          "semi-quantitative method", 
          "experienced raters", 
          "SPECT", 
          "semi-quantitative analysis", 
          "such cases", 
          "findings", 
          "raters", 
          "visual analysis", 
          "terms of agreement", 
          "expert raters", 
          "syndrome", 
          "cases", 
          "abnormalities", 
          "physicians", 
          "inexperienced raters", 
          "brain", 
          "borderline", 
          "years", 
          "analysis", 
          "evaluation", 
          "binding", 
          "tracer", 
          "characteristics", 
          "frequency", 
          "combination", 
          "method", 
          "discrepancy", 
          "results", 
          "disagreement", 
          "statistics", 
          "nonexperts", 
          "minimum", 
          "interpretation", 
          "terms", 
          "agreement", 
          "accuracy", 
          "analysis method", 
          "transporter (DAT) SPECT", 
          "borderline of abnormality", 
          "lower mean striatal tracer binding", 
          "mean striatal tracer binding", 
          "striatal tracer binding", 
          "Clinical DAT SPECT scans", 
          "neurodegenerative parkinsonism syndromes"
        ], 
        "name": "Visual versus automated analysis of [I-123]FP-CIT SPECT scans in parkinsonism", 
        "pagination": "1309-1318", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1022644220"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00702-016-1586-6"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "27324804"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00702-016-1586-6", 
          "https://app.dimensions.ai/details/publication/pub.1022644220"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-01-01T18:40", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_701.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s00702-016-1586-6"
      }
    ]
     

    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/s00702-016-1586-6'

    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/s00702-016-1586-6'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00702-016-1586-6'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00702-016-1586-6'


     

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

    285 TRIPLES      22 PREDICATES      123 URIs      106 LITERALS      26 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00702-016-1586-6 schema:about N1b94d3aa80d444ea81099669f8153693
    2 N30ca15b6a7aa47b0902b0cecf09d1e21
    3 N3cbef96874224bd49c0c99f7a040f730
    4 N3fb4614ca76c457fb60288435ad27ef2
    5 N45defe3b86914240aa2765c148910cb4
    6 N47f786276ac54fb7ae3c071a453c0eba
    7 N49abd345d0f740538fc8b0d5cea40e7b
    8 N6706bbd704a04e8cbb19c182b2f01923
    9 N683c8a60824b477086739fc12b8bc0df
    10 N82bd64228ff54dcc87551569dfebfd85
    11 Na0cab0e25b8143b7a67c53cef2f2bca5
    12 Na8074fd169b34814b9628fba0f3ba3a8
    13 Nab1e0d11ef7649c486cece863e59cfa6
    14 Nafe0fe3bed7c4833b579382ab93d8d9b
    15 Nc80224f29e104cd0ae4b33e54b3b3a22
    16 Nd4df658d34924c72a9e70a0bb461968c
    17 Nd54f510dbd554f2d9cebef9af86f2a42
    18 Nd7b2ff721c9746db8a6c5a0343cdf676
    19 Ne1ac5227f4d44a4385e50225478d1018
    20 anzsrc-for:11
    21 anzsrc-for:1109
    22 schema:author Nff9ba54e6ae6444da6fc59742bf992b7
    23 schema:citation sg:pub.10.1007/s00259-010-1664-1
    24 sg:pub.10.1007/s00259-012-2276-8
    25 sg:pub.10.1007/s00259-014-2796-5
    26 sg:pub.10.1007/s00259-015-3304-2
    27 sg:pub.10.1007/s00415-011-6163-1
    28 sg:pub.10.1007/s00702-015-1419-z
    29 sg:pub.10.1007/s00702-015-1495-0
    30 sg:pub.10.1007/s10072-006-0718-4
    31 sg:pub.10.1007/s12149-012-0577-4
    32 schema:datePublished 2016-06-20
    33 schema:datePublishedReg 2016-06-20
    34 schema:description The clinical evaluation of dopamine transporter (DAT) SPECT scans typically relies on visual analysis in combination with an automated semi-quantitative method. The interpretation of the results may be difficult in cases that show disagreement between the two methods on the borderline of abnormality. The frequency and clinical characteristics of such cases are unclear. Automated semi-quantitative analyses and independent visual analyses by two experienced nuclear medicine physicians and four inexperienced raters were performed for 120 patients with clinically uncertain parkinsonism scanned with brain [I-123]FP-CIT SPECT. Agreement was evaluated with kappa statistics. The clinical characteristics of patients who had discrepant findings between the two analysis methods were investigated. The expert raters outperformed nonexperts in terms of agreement between visual and automated analyses (κ = 0.66, 0.72 vs. 0.23–0.54) and between raters (κ = 0.81 vs. 0.44–0.63). Twelve patients showed discrepant findings between the visual and automated analyses. These patients were older compared to other patients (p = 0.023), had 17.6 % lower mean striatal tracer binding compared to normal scans (p = 0.003) and 62.7 % higher compared to abnormal scans (p < 0.001). After a minimum of 4.5 years of clinical follow-up, none of these patients developed neurodegenerative parkinsonism. Clinical DAT SPECT scans show discrepancies between visual and automated analyses in 10 % of cases. The patients with discrepant findings are older, show normal to slightly abnormal tracer binding, and importantly, do not develop neurodegenerative parkinsonism syndromes. Visual analyses by experienced raters are reliable, but the diagnostic accuracy in discrepant cases can be improved by an automated method.
    35 schema:genre article
    36 schema:inLanguage en
    37 schema:isAccessibleForFree false
    38 schema:isPartOf N21dae4b8800c4b2883afdcad7b4cc7c6
    39 Na4f4b2f5845146189adfe9d7a66b7428
    40 sg:journal.1312227
    41 schema:keywords CIT SPECT
    42 CIT SPECT scans
    43 Clinical DAT SPECT scans
    44 DAT SPECT scans
    45 SPECT
    46 SPECT scans
    47 abnormal scans
    48 abnormal tracer
    49 abnormalities
    50 accuracy
    51 agreement
    52 analysis
    53 analysis method
    54 binding
    55 borderline
    56 borderline of abnormality
    57 brain
    58 cases
    59 characteristics
    60 clinical characteristics
    61 clinical evaluation
    62 combination
    63 diagnostic accuracy
    64 disagreement
    65 discrepancy
    66 discrepant cases
    67 discrepant findings
    68 dopamine transporter SPECT
    69 evaluation
    70 experienced nuclear medicine physicians
    71 experienced raters
    72 expert raters
    73 findings
    74 frequency
    75 independent visual analysis
    76 inexperienced raters
    77 interpretation
    78 kappa statistic
    79 lower mean striatal tracer binding
    80 mean striatal tracer binding
    81 medicine physicians
    82 method
    83 minimum
    84 neurodegenerative parkinsonism
    85 neurodegenerative parkinsonism syndromes
    86 nonexperts
    87 normal scans
    88 nuclear medicine physicians
    89 parkinsonism
    90 parkinsonism syndromes
    91 patients
    92 physicians
    93 raters
    94 results
    95 scans
    96 semi-quantitative analysis
    97 semi-quantitative method
    98 statistics
    99 striatal tracer binding
    100 such cases
    101 syndrome
    102 terms
    103 terms of agreement
    104 tracer
    105 tracer binding
    106 transporter (DAT) SPECT
    107 uncertain parkinsonism
    108 visual analysis
    109 years
    110 schema:name Visual versus automated analysis of [I-123]FP-CIT SPECT scans in parkinsonism
    111 schema:pagination 1309-1318
    112 schema:productId N1027f1c32a1741af8cd348d3d315462a
    113 N28e430ead6d840ffb8f1fd0ecd939176
    114 Nf4668cc951444e89b34bac5d0c53cab4
    115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022644220
    116 https://doi.org/10.1007/s00702-016-1586-6
    117 schema:sdDatePublished 2022-01-01T18:40
    118 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    119 schema:sdPublisher Nfb0f612653a041c081ea2463ea72adc6
    120 schema:url https://doi.org/10.1007/s00702-016-1586-6
    121 sgo:license sg:explorer/license/
    122 sgo:sdDataset articles
    123 rdf:type schema:ScholarlyArticle
    124 N1027f1c32a1741af8cd348d3d315462a schema:name doi
    125 schema:value 10.1007/s00702-016-1586-6
    126 rdf:type schema:PropertyValue
    127 N1b94d3aa80d444ea81099669f8153693 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    128 schema:name Radiopharmaceuticals
    129 rdf:type schema:DefinedTerm
    130 N21dae4b8800c4b2883afdcad7b4cc7c6 schema:issueNumber 11
    131 rdf:type schema:PublicationIssue
    132 N24001ad0a2554706952fe7958093c347 rdf:first sg:person.01350666000.15
    133 rdf:rest N30551b9dfff54e68b983a14bc308b942
    134 N24f5840f769342f7b396118e9397ce83 rdf:first sg:person.0661656645.23
    135 rdf:rest rdf:nil
    136 N28e430ead6d840ffb8f1fd0ecd939176 schema:name pubmed_id
    137 schema:value 27324804
    138 rdf:type schema:PropertyValue
    139 N30551b9dfff54e68b983a14bc308b942 rdf:first sg:person.01231750412.31
    140 rdf:rest N24f5840f769342f7b396118e9397ce83
    141 N30ca15b6a7aa47b0902b0cecf09d1e21 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    142 schema:name Aged
    143 rdf:type schema:DefinedTerm
    144 N3cbef96874224bd49c0c99f7a040f730 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    145 schema:name Pattern Recognition, Automated
    146 rdf:type schema:DefinedTerm
    147 N3fb4614ca76c457fb60288435ad27ef2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    148 schema:name Prognosis
    149 rdf:type schema:DefinedTerm
    150 N45defe3b86914240aa2765c148910cb4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    151 schema:name Male
    152 rdf:type schema:DefinedTerm
    153 N47f786276ac54fb7ae3c071a453c0eba schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    154 schema:name Aged, 80 and over
    155 rdf:type schema:DefinedTerm
    156 N49abd345d0f740538fc8b0d5cea40e7b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    157 schema:name Humans
    158 rdf:type schema:DefinedTerm
    159 N5acdcc906c694207ac4063cbcb3a5c0a rdf:first sg:person.0631212202.56
    160 rdf:rest Ne62f983c098241a683c7bdfcd2dc590a
    161 N6706bbd704a04e8cbb19c182b2f01923 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    162 schema:name Tropanes
    163 rdf:type schema:DefinedTerm
    164 N683c8a60824b477086739fc12b8bc0df schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    165 schema:name Observer Variation
    166 rdf:type schema:DefinedTerm
    167 N82bd64228ff54dcc87551569dfebfd85 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    168 schema:name Image Interpretation, Computer-Assisted
    169 rdf:type schema:DefinedTerm
    170 Na0cab0e25b8143b7a67c53cef2f2bca5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    171 schema:name Female
    172 rdf:type schema:DefinedTerm
    173 Na4f4b2f5845146189adfe9d7a66b7428 schema:volumeNumber 123
    174 rdf:type schema:PublicationVolume
    175 Na8074fd169b34814b9628fba0f3ba3a8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    176 schema:name Dopamine Plasma Membrane Transport Proteins
    177 rdf:type schema:DefinedTerm
    178 Nab1e0d11ef7649c486cece863e59cfa6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    179 schema:name Tomography, Emission-Computed, Single-Photon
    180 rdf:type schema:DefinedTerm
    181 Nafe0fe3bed7c4833b579382ab93d8d9b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    182 schema:name Brain
    183 rdf:type schema:DefinedTerm
    184 Nc80224f29e104cd0ae4b33e54b3b3a22 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    185 schema:name Reproducibility of Results
    186 rdf:type schema:DefinedTerm
    187 Nd4df658d34924c72a9e70a0bb461968c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    188 schema:name Middle Aged
    189 rdf:type schema:DefinedTerm
    190 Nd54f510dbd554f2d9cebef9af86f2a42 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    191 schema:name Professional Competence
    192 rdf:type schema:DefinedTerm
    193 Nd7b2ff721c9746db8a6c5a0343cdf676 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    194 schema:name Follow-Up Studies
    195 rdf:type schema:DefinedTerm
    196 Ne1ac5227f4d44a4385e50225478d1018 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    197 schema:name Parkinsonian Disorders
    198 rdf:type schema:DefinedTerm
    199 Ne62f983c098241a683c7bdfcd2dc590a rdf:first sg:person.01336206345.22
    200 rdf:rest N24001ad0a2554706952fe7958093c347
    201 Nf4668cc951444e89b34bac5d0c53cab4 schema:name dimensions_id
    202 schema:value pub.1022644220
    203 rdf:type schema:PropertyValue
    204 Nfb0f612653a041c081ea2463ea72adc6 schema:name Springer Nature - SN SciGraph project
    205 rdf:type schema:Organization
    206 Nff9ba54e6ae6444da6fc59742bf992b7 rdf:first sg:person.013050503235.96
    207 rdf:rest N5acdcc906c694207ac4063cbcb3a5c0a
    208 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    209 schema:name Medical and Health Sciences
    210 rdf:type schema:DefinedTerm
    211 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
    212 schema:name Neurosciences
    213 rdf:type schema:DefinedTerm
    214 sg:journal.1312227 schema:issn 0300-9564
    215 1435-1463
    216 schema:name Journal of Neural Transmission
    217 schema:publisher Springer Nature
    218 rdf:type schema:Periodical
    219 sg:person.01231750412.31 schema:affiliation grid-institutes:grid.410552.7
    220 schema:familyName Seppänen
    221 schema:givenName Marko
    222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231750412.31
    223 rdf:type schema:Person
    224 sg:person.013050503235.96 schema:affiliation grid-institutes:grid.410552.7
    225 schema:familyName Mäkinen
    226 schema:givenName Elina
    227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013050503235.96
    228 rdf:type schema:Person
    229 sg:person.01336206345.22 schema:affiliation grid-institutes:grid.470895.7
    230 schema:familyName Johansson
    231 schema:givenName Jarkko
    232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336206345.22
    233 rdf:type schema:Person
    234 sg:person.01350666000.15 schema:affiliation grid-institutes:grid.410552.7
    235 schema:familyName Mäki
    236 schema:givenName Maija
    237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01350666000.15
    238 rdf:type schema:Person
    239 sg:person.0631212202.56 schema:affiliation grid-institutes:grid.470895.7
    240 schema:familyName Joutsa
    241 schema:givenName Juho
    242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0631212202.56
    243 rdf:type schema:Person
    244 sg:person.0661656645.23 schema:affiliation grid-institutes:grid.470895.7
    245 schema:familyName Kaasinen
    246 schema:givenName Valtteri
    247 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0661656645.23
    248 rdf:type schema:Person
    249 sg:pub.10.1007/s00259-010-1664-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040336213
    250 https://doi.org/10.1007/s00259-010-1664-1
    251 rdf:type schema:CreativeWork
    252 sg:pub.10.1007/s00259-012-2276-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008102551
    253 https://doi.org/10.1007/s00259-012-2276-8
    254 rdf:type schema:CreativeWork
    255 sg:pub.10.1007/s00259-014-2796-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036293310
    256 https://doi.org/10.1007/s00259-014-2796-5
    257 rdf:type schema:CreativeWork
    258 sg:pub.10.1007/s00259-015-3304-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017835976
    259 https://doi.org/10.1007/s00259-015-3304-2
    260 rdf:type schema:CreativeWork
    261 sg:pub.10.1007/s00415-011-6163-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020760080
    262 https://doi.org/10.1007/s00415-011-6163-1
    263 rdf:type schema:CreativeWork
    264 sg:pub.10.1007/s00702-015-1419-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1026390364
    265 https://doi.org/10.1007/s00702-015-1419-z
    266 rdf:type schema:CreativeWork
    267 sg:pub.10.1007/s00702-015-1495-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021490118
    268 https://doi.org/10.1007/s00702-015-1495-0
    269 rdf:type schema:CreativeWork
    270 sg:pub.10.1007/s10072-006-0718-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033185702
    271 https://doi.org/10.1007/s10072-006-0718-4
    272 rdf:type schema:CreativeWork
    273 sg:pub.10.1007/s12149-012-0577-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031276052
    274 https://doi.org/10.1007/s12149-012-0577-4
    275 rdf:type schema:CreativeWork
    276 grid-institutes:grid.410552.7 schema:alternateName Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
    277 schema:name Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
    278 Department of Neurology, University of Turku, Turku, Finland
    279 Division of Clinical Neurosciences, Turku University Hospital, Turku, Finland
    280 rdf:type schema:Organization
    281 grid-institutes:grid.470895.7 schema:alternateName Turku PET Centre, University of Turku, Turku, Finland
    282 schema:name Department of Neurology, University of Turku, Turku, Finland
    283 Division of Clinical Neurosciences, Turku University Hospital, Turku, Finland
    284 Turku PET Centre, University of Turku, Turku, Finland
    285 rdf:type schema:Organization
     




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


    ...