Transcranial Ultrasonographic Image Analysis System for Decision Support in Parkinson Disease.
J Ultrasound Med
; 37(7): 1753-1761, 2018 Jul.
Article
em En
| MEDLINE
| ID: mdl-29331072
ABSTRACT
OBJECTIVES:
Transcranial ultrasonography (US) is a relatively new neuroimaging modality proposed for early diagnostics of Parkinson disease (PD). The main limitation of transcranial US image-based diagnostics is a high degree of subjectivity caused by low quality of the transcranial images. The article presents a developed image analysis system and evaluates the potential of automated image analysis on transcranial US.METHODS:
The system consists of algorithms for the segmentation and assessment of informative brain regions (midbrain and substantia nigra) and a decision support subsystem, which is equipped with 64 classification algorithms. Transcranial US images of 191 participants (118 patients with a clinical PD diagnosis and 73 healthy control participants) were analyzed.RESULTS:
The diagnostic sensitivity and specificity achieved by the proposed system were 85% and 75%, respectively.CONCLUSIONS:
Digital transcranial US image analysis is challenging, and the application of a such system as the sole instrument for decisions in clinical practice remains inconclusive. However, the proposed system could be used as a supplementary tool for automated assessment of US parameters for decision support in PD diagnostics and to reduce observer variability.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Doença de Parkinson
/
Processamento de Imagem Assistida por Computador
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Ultrassonografia Doppler Transcraniana
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Sistemas de Apoio a Decisões Clínicas
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Female
/
Humans
/
Male
/
Middle aged
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article