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Erschienen in: Neurological Sciences 11/2018

01.11.2018 | Original Article

The predictive power of transcranial sonography in movement disorders: a longitudinal cohort study

verfasst von: Daniela Monaco, Daniela Berg, Astrid Thomas, Vincenzo Di Stefano, Filomena Barbone, Michela Vitale, Camilla Ferrante, Laura Bonanni, Marta Di Nicola, Tonia Garzarella, Luciano Paolo Marchionno, Giovanni Malferrari, Rocco Di Mascio, Marco Onofrj, Raffaella Franciotti

Erschienen in: Neurological Sciences | Ausgabe 11/2018

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Abstract

Transcranial sonography (TCS) is a noninvasive, easily performed, and commonly available neuroimaging technique useful for the study of brain parenchyma in movement disorders. This tool has been increasingly used in the diagnosis of Parkinson’s disease and atypical parkinsonism. The aim of the study was to evaluate the applicability of this technique as supportive tool in the early diagnosis of movement disorders. We performed TCS on 315 individuals which were diagnosed as healthy controls or affected by idiopathic Parkinson’s disease, monogenetic subtypes of Parkinson’s disease, atypical parkinsonism, and Dementia with Lewy bodies. Five TCS diagnostic patterns were defined on the basis of substantia nigra’s and lenticular nuclei’s echogenicity. TCS evaluations were performed by two blinded neuro-sonographers. Clinical diagnosis on all individuals was performed at baseline and at 4-year follow-up. The concordance rate between TCS patterns and clinical diagnosis and the specificity of TCS pattern to discriminate each group of individuals were compared at baseline and at follow-up. The concordance rate between TCS patterns and clinical diagnosis of all individuals was 84% at baseline and increased at follow-up (91%) significantly (p = 0.01). The specificity of TCS pattern in the comparison between patients diagnosed as affected by idiopathic Parkinson’s disease and atypical parkinsonism showed a significant increase at follow-up (p = 0.03). Our study strongly confirms the role of TCS as a noninvasive and cost-effective tool in early diagnosis of movement disorders.
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Metadaten
Titel
The predictive power of transcranial sonography in movement disorders: a longitudinal cohort study
verfasst von
Daniela Monaco
Daniela Berg
Astrid Thomas
Vincenzo Di Stefano
Filomena Barbone
Michela Vitale
Camilla Ferrante
Laura Bonanni
Marta Di Nicola
Tonia Garzarella
Luciano Paolo Marchionno
Giovanni Malferrari
Rocco Di Mascio
Marco Onofrj
Raffaella Franciotti
Publikationsdatum
01.11.2018
Verlag
Springer Milan
Erschienen in
Neurological Sciences / Ausgabe 11/2018
Print ISSN: 1590-1874
Elektronische ISSN: 1590-3478
DOI
https://doi.org/10.1007/s10072-018-3514-z

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