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Transcranial sonography (TCS) of brain parenchyma in movement disorders: quality standards, diagnostic applications and novel technologies
U. Walter, D. Školoudík,
Jazyk angličtina Země Německo
Typ dokumentu časopisecké články, přehledy
PubMed
24764215
DOI
10.1055/s-0033-1356415
Knihovny.cz E-zdroje
- MeSH
- bazální ganglia ultrasonografie MeSH
- diferenciální diagnóza MeSH
- echoencefalografie přístrojové vybavení normy MeSH
- hluboká mozková stimulace MeSH
- lidé MeSH
- magnetická rezonanční tomografie přístrojové vybavení normy MeSH
- multimodální zobrazování normy MeSH
- nemoci mozku terapie ultrasonografie MeSH
- neuronavigace přístrojové vybavení normy MeSH
- Parkinsonova nemoc terapie ultrasonografie MeSH
- počítačové zpracování obrazu přístrojové vybavení normy MeSH
- pohybové poruchy terapie ultrasonografie MeSH
- senzitivita a specificita MeSH
- uživatelské rozhraní počítače MeSH
- zajištění kvality zdravotní péče normy MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
Transcranial B-mode sonography (TCS) of brain parenchyma is being increasingly used as a diagnostic tool in movement disorders. Compared to other neuroimaging modalities such as magnetic resonance imaging (MRI) and computed tomography, TCS can be performed today with portable machines and has the advantages of noninvasiveness and high resistance to movement artifacts. In distinct brain disorders TCS detects abnormalities that cannot be visualized or can only be visualized with significant effort with other imaging methods. In the field of movement disorders, TCS has been established mainly as a tool for the early and differential diagnosis of Parkinson's disease. The postoperative position control of deep brain stimulation electrodes, especially in the subthalamic nucleus, can reliably and safely be performed with TCS. The present update review summarizes the current methodological standards and defines quality criteria of adequate TCS imaging and assessment of diagnostically relevant deep brain structures such as substantia nigra, brainstem raphe, basal ganglia and ventricles. Finally, an overview is given on recent technological advances including TCS-MRI fusion imaging and upcoming technologies of digitized image analysis aiming at a more investigator-independent assessment of deep brain structures on TCS.
Citace poskytuje Crossref.org
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