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

Please always quote using this 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.show moreshow less

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Metadaten
Author: 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
Document Type:Journal article
Faculties:Medizinische Fakultät / Klinik und Poliklinik für Nuklearmedizin
Language:English
Parent Title (English):Clinical Nuclear Medicine
ISSN:1536-0229
Year of Completion:2018
Volume:44
Issue:1
Source:Clinical Nuclear Medicine 2019, 44, 1, p 1–3 doi: 10.1097/RLU.0000000000002333
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
GND Keyword:SPECT
Tag:Single-Photon-Emissions-Computertomographie
123I-Ioflupane; DaTscan; Parkinsonism; Parkinson’s disease; SPECT; SPECT/CT
Release Date:2019/04/01
EU-Project number / Contract (GA) number:701983
OpenAIRE:OpenAIRE
Licence (German):License LogoCC BY-NC-ND: Creative-Commons-Lizenz: Namensnennung, Nicht kommerziell, Keine Bearbeitungen 4.0 International