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Published in: EJNMMI Research 1/2020

Open Access 01-12-2020 | Parkinson's Disease | Short communication

Striatal dopamine transporter SPECT quantification: head-to-head comparison between two three-dimensional automatic tools

Authors: Silvia Morbelli, Dario Arnaldi, Eugenia Cella, Stefano Raffa, Maria Isabella Donegani, Selene Capitanio, Federico Massa, Alberto Miceli, Laura Filippi, Andrea Chincarini, Flavio Nobili

Published in: EJNMMI Research | Issue 1/2020

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Abstract

Purpose

Our aim was to compare a widely distributed commercial tool with an older free software (i) one another, (ii) with a clinical motor score, (iii) versus reading by experts.

Procedures

We analyzed consecutive scans from one-hundred and fifty-one outpatients submitted to brain DAT SPECT for a suspected parkinsonism. Images were post-processed using a commercial (Datquant®) and a free (BasGanV2) software. Reading by expert was the gold standard. A subset of patients with pathological or borderline scan was evaluated with the clinical Unified Parkinson’s Disease Rating Scale, motor part (MDS-UPDRS-III).

Results

SBR, putamen-to-caudate (P/C) ratio, and both P and C asymmetries were highly correlated between the two software with Pearson’s ‘r’ correlation coefficients ranging from .706 to .887. Correlation coefficients with the MDS-UPDRS III score were higher with caudate than with putamen SBR values with both software, and in general higher with BasGanV2 than with Datquant®. Datquant® correspondence with expert reading was 84.1% (94.0% by additionally considering the P/C ratio as a further index). BasGanV2 correspondence with expert reading was 80.8% (86.1% by additionally considering the P/C ratio).

Conclusions

Both Datquant® and BasGanV2 work reasonably well and similarly one another in semi-quantification of DAT SPECT. Both tools have their own strength and pitfalls that must be known in detail by users in order to obtain the best help in visual reading and reporting of DAT SPECT.
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Metadata
Title
Striatal dopamine transporter SPECT quantification: head-to-head comparison between two three-dimensional automatic tools
Authors
Silvia Morbelli
Dario Arnaldi
Eugenia Cella
Stefano Raffa
Maria Isabella Donegani
Selene Capitanio
Federico Massa
Alberto Miceli
Laura Filippi
Andrea Chincarini
Flavio Nobili
Publication date
01-12-2020
Publisher
Springer Berlin Heidelberg
Published in
EJNMMI Research / Issue 1/2020
Electronic ISSN: 2191-219X
DOI
https://doi.org/10.1186/s13550-020-00727-w

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