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

Rudolf A. Werner, Charles Marcus, Sara Sheikhbahaei, Lilja Solnes, Jeffrey Pettit Leal, Yong Du, Steven Rowe, Takahiro Higuchi, Andreas K. Buck, Constantin Lapa, Mehrbod Som Som Javadi

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1-3
Number of pages3
JournalClinical Nuclear Medicine
Volume44
Issue number1
DOIs
StatePublished - Jan 1 2019

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Software
Movement Disorders
Parkinsonian Disorders
Neurology
Single Photon Emission Computed Tomography Computed Tomography
ioflupane

Keywords

  • I-ioflupane
  • DaTscan
  • Parkinson disease
  • parkinsonism
  • SPECT
  • SPECT/CT

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Visual and semiquantitative accuracy in clinical baseline 123I-Ioflupane SPECT/CT imaging. / Werner, Rudolf A.; Marcus, Charles; Sheikhbahaei, Sara; Solnes, Lilja; Leal, Jeffrey Pettit; Du, Yong; Rowe, Steven; Higuchi, Takahiro; Buck, Andreas K.; Lapa, Constantin; Javadi, Mehrbod Som Som.

In: Clinical Nuclear Medicine, Vol. 44, No. 1, 01.01.2019, p. 1-3.

Research output: Contribution to journalArticle

Werner, Rudolf A. ; Marcus, Charles ; Sheikhbahaei, Sara ; Solnes, Lilja ; Leal, Jeffrey Pettit ; Du, Yong ; Rowe, Steven ; Higuchi, Takahiro ; Buck, Andreas K. ; Lapa, Constantin ; Javadi, Mehrbod Som Som. / Visual and semiquantitative accuracy in clinical baseline 123I-Ioflupane SPECT/CT imaging. In: Clinical Nuclear Medicine. 2019 ; Vol. 44, No. 1. pp. 1-3.
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abstract = "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.",
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AU - Marcus, Charles

AU - Sheikhbahaei, Sara

AU - Solnes, Lilja

AU - Leal, Jeffrey Pettit

AU - Du, Yong

AU - Rowe, Steven

AU - Higuchi, Takahiro

AU - Buck, Andreas K.

AU - Lapa, Constantin

AU - Javadi, Mehrbod Som Som

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AB - 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.

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