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Visual and Semiquantitative Accuracy in Clinical Baseline 123I-Ioflupane SPECT/CT Imaging

Zitieren Sie bitte immer diese URN: urn:nbn:de:bvb:20-opus-168181
  • PURPOSE: We aimed to (a) elucidate the concordance of visual assessment of an initial I-ioflupane scan by a human interpreter with comparison to results using a fully automatic semiquantitative method and (b) to assess the accuracy compared to follow-up (f/u) diagnosis established by movement disorder specialists. METHODS: An initial I-ioflupane scan was performed in 382 patients with clinically uncertain Parkinsonian syndrome. An experienced reader performed a visual evaluation of all scans independently. The findings of the visual readPURPOSE: We aimed to (a) elucidate the concordance of visual assessment of an initial I-ioflupane scan by a human interpreter with comparison to results using a fully automatic semiquantitative method and (b) to assess the accuracy compared to follow-up (f/u) diagnosis established by movement disorder specialists. METHODS: An initial I-ioflupane scan was performed in 382 patients with clinically uncertain Parkinsonian syndrome. An experienced reader performed a visual evaluation of all scans independently. The findings of the visual read were compared with semiquantitative evaluation. In addition, available f/u clinical diagnosis (serving as a reference standard) was compared with results of the human read and the software. RESULTS: When comparing the semiquantitative method with the visual assessment, discordance could be found in 25 (6.5%) of 382 of the cases for the experienced reader (ĸ = 0.868). The human observer indicated region of interest misalignment as the main reason for discordance. With neurology f/u serving as reference, the results of the reader revealed a slightly higher accuracy rate (87.7%, ĸ = 0.75) compared to semiquantification (86.2%, ĸ = 0.719, P < 0.001, respectively). No significant difference in the diagnostic performance of the visual read versus software-based assessment was found. CONCLUSIONS: In comparison with a fully automatic semiquantitative method in I-ioflupane interpretation, human assessment obtained an almost perfect agreement rate. However, compared to clinical established diagnosis serving as a reference, visual read seemed to be slightly more accurate as a solely software-based quantitative assessment.zeige mehrzeige weniger

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Metadaten
Autor(en): Rudolf A. Werner, Charles Marcus, Sara Sheikhbahaei, Lilja B. Solnes, Jeffrey P. Leal, Yong Du, Steven P. Rowe, Takahiro Higuchi, Andreas K. Buck, Constantin Lapa, Mehrbod S. Javadi
URN:urn:nbn:de:bvb:20-opus-168181
Dokumentart:Artikel / Aufsatz in einer Zeitschrift
Institute der Universität:Medizinische Fakultät / Klinik und Poliklinik für Nuklearmedizin
Sprache der Veröffentlichung:Englisch
Titel des übergeordneten Werkes / der Zeitschrift (Englisch):Clinical Nuclear Medicine
ISSN:1536-0229
Erscheinungsjahr:2018
Band / Jahrgang:44
Heft / Ausgabe:1
Originalveröffentlichung / Quelle:Clinical Nuclear Medicine 2019, 44, 1, p 1–3 doi: 10.1097/RLU.0000000000002333
Allgemeine fachliche Zuordnung (DDC-Klassifikation):6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Normierte Schlagworte (GND):SPECT
Freie Schlagwort(e):Single-Photon-Emissions-Computertomographie
123I-Ioflupane; DaTscan; Parkinsonism; Parkinson’s disease; SPECT; SPECT/CT
Datum der Freischaltung:01.04.2019
EU-Projektnummer / Contract (GA) number:701983
OpenAIRE:OpenAIRE
Lizenz (Deutsch):License LogoCC BY-NC-ND: Creative-Commons-Lizenz: Namensnennung, Nicht kommerziell, Keine Bearbeitungen 4.0 International