Visual and semiquantitative accuracy in clinical baseline 123I-Ioflupane SPECT/CT imaging

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


4 被引用数 (Scopus)


Purpose We aimed to (a) elucidate the concordance of visual assessment of an initial 123I-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 123I-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 (kg = 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%, kg = 0.75) compared to semiquantification (86.2%, kg = 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 123I-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.

ジャーナルClinical Nuclear Medicine
出版ステータスPublished - 1月 1 2019

ASJC Scopus subject areas

  • 放射線学、核医学およびイメージング


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