Literature DB >> 28473597

Diagnostic Performance of the Visual Reading of 123I-Ioflupane SPECT Images With or Without Quantification in Patients With Movement Disorders or Dementia.

Jan Booij1, Jacob Dubroff2, Daniel Pryma2, Jian Yu3, Rajan Agarwal4, Paras Lakhani5, Phillip H Kuo6.   

Abstract

Visual interpretation of 123I-ioflupane SPECT images has high diagnostic accuracy for differentiating parkinsonian syndromes (PS), from essential tremor and probable dementia with Lewy bodies (DLB) from Alzheimer disease. In this study, we investigated the impact on accuracy and reader confidence offered by the addition of image quantification in comparison with visual interpretation alone.
Methods: We collected 304 123I-ioflupane images from 3 trials that included subjects with a clinical diagnosis of PS, non-PS (mainly essential tremor), probable DLB, and non-DLB (mainly Alzheimer disease). Images were reconstructed with standardized parameters before striatal binding ratios were quantified against a normal database. Images were assessed by 5 nuclear medicine physicians who had limited prior experience with 123I-ioflupane interpretation. In 2 readings at least 1 mo apart, readers performed either a visual interpretation alone or a combined reading (i.e., visual plus quantitative data were available). Readers were asked to rate their confidence of image interpretation and judge scans as easy or difficult to read. Diagnostic accuracy was assessed by comparing image results with the standard of truth (i.e., diagnosis at follow-up) by measuring the positive percentage of agreement (equivalent to sensitivity) and the negative percentage of agreement (equivalent to specificity). The hypothesis that the results of the combined reading were not inferior to the results of the visual reading analysis was tested.
Results: A comparison of the combined reading and the visual reading revealed a small, insignificant increase in the mean negative percentage of agreement (89.9% vs. 87.9%) and equivalent positive percentages of agreement (80.2% vs. 80.1%). Readers who initially performed a combined analysis had significantly greater accuracy (85.8% vs. 79.2%; P = 0.018), and their accuracy was close to that of the expert readers in the original studies (range, 83.3%-87.2%). Mean reader confidence in the interpretation of images showed a significant improvement when combined analysis was used (P < 0.0001).
Conclusion: The addition of quantification allowed readers with limited experience in the interpretation of 123I-ioflupane SPECT scans to have diagnostic accuracy equivalent to that of the experienced readers in the initial studies. Also, the results of the combined reading were not inferior to the results of the visual reading analysis and offered an increase in reader confidence.
© 2017 by the Society of Nuclear Medicine and Molecular Imaging.

Entities:  

Keywords:  123I-ioflupane SPECT; dementia; movement disorders; quantification; visual interpretation

Mesh:

Substances:

Year:  2017        PMID: 28473597     DOI: 10.2967/jnumed.116.189266

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  18 in total

Review 1.  Nuclear Imaging in the Diagnosis of Clinically Uncertain Parkinsonian Syndromes.

Authors:  Ralph Buchert; Carsten Buhmann; Ivayla Apostolova; Philipp T Meyer; Jürgen Gallinat
Journal:  Dtsch Arztebl Int       Date:  2019-11-01       Impact factor: 5.594

2.  Automatic classification of dopamine transporter SPECT: deep convolutional neural networks can be trained to be robust with respect to variable image characteristics.

Authors:  Markus Wenzel; Fausto Milletari; Julia Krüger; Catharina Lange; Michael Schenk; Ivayla Apostolova; Susanne Klutmann; Marcus Ehrenburg; Ralph Buchert
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-08-31       Impact factor: 9.236

Review 3.  Early perfusion and dopamine transporter imaging using 18F-FP-CIT PET/CT in patients with parkinsonism.

Authors:  Chae-Moon Hong; Ho-Sung Ryu; Byeong-Cheol Ahn
Journal:  Am J Nucl Med Mol Imaging       Date:  2018-12-20

4.  Imaging Dopaminergic Neurotransmission in Neurodegenerative Disorders.

Authors:  Elon D Wallert; Elsmarieke van de Giessen; Remco J J Knol; Martijn Beudel; Rob M A de Bie; Jan Booij
Journal:  J Nucl Med       Date:  2022-06       Impact factor: 11.082

5.  Comparison of [18F]-FDOPA PET and [123I]-FP-CIT SPECT acquired in clinical practice for assessing nigrostriatal degeneration in patients with a clinically uncertain parkinsonian syndrome.

Authors:  Elon Wallert; Erwann Letort; Friso van der Zant; Ania Winogrodzka; Henk Berendse; Martijn Beudel; Rob de Bie; Jan Booij; Pieter Raijmakers; Elsmarieke van de Giessen
Journal:  EJNMMI Res       Date:  2022-10-22       Impact factor: 3.434

6.  Semiquantitative Analysis of Dopamine Transporter Scans in Patients With Parkinson Disease.

Authors:  Sule Tinaz; Christopher Chow; Phillip H Kuo; Elizabeth A Krupinski; Hal Blumenfeld; Elan D Louis; George Zubal
Journal:  Clin Nucl Med       Date:  2018-01       Impact factor: 7.794

7.  Differences in cause and 12-month follow-up outcome of parkinsonian symptoms in depressed older adults treated with antipsychotics: a case series.

Authors:  Anastasios Politis; Nikolaos Kokras; Michael Souvatzoglou; Kostas Siarkos; Panagiotis Toulas; Constantin Potagas; Theodoros Hatzipanagiotou; Georgios Limouris; Panagiotis Alexopoulos
Journal:  BMC Psychiatry       Date:  2021-06-03       Impact factor: 3.630

Review 8.  Dopamine transporter SPECT imaging in Parkinson’s disease and parkinsonian disorders

Authors:  Ümit Özgür Akdemir; Ayşe Bora Tokçaer; Lütfiye Özlem Atay
Journal:  Turk J Med Sci       Date:  2021-04-30       Impact factor: 0.973

9.  Comparison of machine learning and semi-quantification algorithms for (I123)FP-CIT classification: the beginning of the end for semi-quantification?

Authors:  Jonathan Christopher Taylor; John Wesley Fenner
Journal:  EJNMMI Phys       Date:  2017-11-29

10.  Computer-aided diagnosis for (123I)FP-CIT imaging: impact on clinical reporting.

Authors:  Jonathan Christopher Taylor; Charles Romanowski; Eleanor Lorenz; Christine Lo; Oliver Bandmann; John Fenner
Journal:  EJNMMI Res       Date:  2018-05-08       Impact factor: 3.138

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