Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal 123I-FP-CIT indices

Objectives To provide an automated classification method for degenerative parkinsonian syndromes (PS) based on semiquantitative 123 I-FP-CIT SPECT striatal indices and support-vector-machine (SVM) analysis. Methods 123 I-FP-CIT SPECT was performed at a single-center level on 370 individuals with PS,...

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Bibliographic Details
Published in:Journal of neurology 2019-07, Vol.266 (7), p.1771-1781
Main Authors: Nicastro, Nicolas, Wegrzyk, Jennifer, Preti, Maria Giulia, Fleury, Vanessa, Van de Ville, Dimitri, Garibotto, Valentina, Burkhard, Pierre R.
Format: Article
Language:English
Subjects:
Accuracy
Atrophy
Basal ganglia
Brain diseases
Central nervous system diseases
Classification
Medicine
Medicine & Public Health
Movement disorders
Neostriatum
Neurodegenerative diseases
Neurology
Neuroradiology
Neurosciences
Original Communication
Paralysis
Parkinson's disease
Progressive supranuclear palsy
Putamen
Single photon emission computed tomography
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Summary:Objectives To provide an automated classification method for degenerative parkinsonian syndromes (PS) based on semiquantitative 123 I-FP-CIT SPECT striatal indices and support-vector-machine (SVM) analysis. Methods 123 I-FP-CIT SPECT was performed at a single-center level on 370 individuals with PS, including 280 patients with Parkinson’s disease (PD), 21 with multiple system atrophy-parkinsonian type (MSA-P), 41 with progressive supranuclear palsy (PSP) and 28 with corticobasal syndrome (CBS) (mean age 70.3 years, 47% female, mean disease duration at scan 1.4 year), as well as 208 age- and gender-matched control subjects. Striatal volumes-of-interest (VOIs) uptake, VOIs asymmetry indices (AIs) and caudate/putamen (C/P) ratio were used as input for SVM individual classification using fivefold cross-validation. Results Univariate analyses showed significantly lower VOIs uptake, higher striatal AI and C/P ratio for each PS in comparison to controls (all p   70% accuracy. Overall, striatal AI and C/P ratio on the more affected side had the highest weighting factors. Conclusion Semiquantitative 123 I-FP-CIT SPECT striatal evaluation combined with SVM represents a promising approach to disentangle PD from non-degenerative conditions and from atypical PS at the early stage.
ISSN:0340-5354
1432-1459
DOI:10.1007/s00415-019-09330-z