Literature DB >> 25088104

Automated quantification with BRASS reduces equivocal reporting of DaTSCAN (123I-FP-CIT) SPECT studies.

Deborah Ruth Pencharz1, Paul Hanlon, Riddhika Chakravartty, Shaunak Navalkissoor, Ann-Marie Quigley, Thomas Wagner, Thomas Wagner.   

Abstract

BACKGROUND: ¹²³I-FP-CIT (DaTSCAN) SPECT studies of the nigrostriatal pathway are a valuable tool in the diagnosis of movement disorders. However some scans are reported as equivocal with potential adverse consequences. We investigated whether the use of quantification of tracer uptake within the striatum can be used to reduce the number of equivocal reports.
MATERIAL AND METHODS: BRASS software (Hermes, Sweden) was used to quantify striatal tracer uptake in DaTSCAN studies of patients referred to our institution. Scans were quantified and numerical limits were determined to distinguish between normal and abnormal scans. Scans were then re-reported both with, and without, the use of quantification. Number of equivocal reports and accuracy of reporting between the two types of reporting were compared.
RESULTS: Scan reporting using quantification led to a significant reduction in the number of equivocal reports with no significant change in reporting accuracy.
CONCLUSION: Automated quantification of DaTSCAN studies with BRASS and the use of numerical limits can decrease the number of equivocal reports without affecting report accuracy.

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Year:  2014        PMID: 25088104     DOI: 10.5603/NMR.2014.0019

Source DB:  PubMed          Journal:  Nucl Med Rev Cent East Eur        ISSN: 1506-9680


  5 in total

1.  Visual versus automated analysis of [I-123]FP-CIT SPECT scans in parkinsonism.

Authors:  Elina Mäkinen; Juho Joutsa; Jarkko Johansson; Maija Mäki; Marko Seppänen; Valtteri Kaasinen
Journal:  J Neural Transm (Vienna)       Date:  2016-06-20       Impact factor: 3.575

2.  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

3.  Performance evaluation of a novel brain-dedicated SPECT system.

Authors:  M K Stam; E E Verwer; J Booij; S M Adriaanse; C M de Bruin; T C de Wit
Journal:  EJNMMI Phys       Date:  2018-03-01

4.  Source-Based Morphometry Multivariate Approach to Analyze [123I]FP-CIT SPECT Imaging.

Authors:  Enrico Premi; V D Calhoun; V Garibotto; R Turrone; A Alberici; E Cottini; A Pilotto; S Gazzina; M Magoni; B Paghera; B Borroni; A Padovani
Journal:  Mol Imaging Biol       Date:  2017-10       Impact factor: 3.488

5.  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

  5 in total

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