Transcranial sonography (TCS) of brain parenchyma in movement disorders: quality standards, diagnostic applications and novel technologies
Language English Country Germany Media print-electronic
Document type Journal Article, Review
- MeSH
- Basal Ganglia diagnostic imaging MeSH
- Diagnosis, Differential MeSH
- Echoencephalography instrumentation standards MeSH
- Deep Brain Stimulation MeSH
- Humans MeSH
- Magnetic Resonance Imaging instrumentation standards MeSH
- Multimodal Imaging standards MeSH
- Brain Diseases diagnostic imaging therapy MeSH
- Neuronavigation instrumentation standards MeSH
- Parkinson Disease diagnostic imaging therapy MeSH
- Image Processing, Computer-Assisted instrumentation standards MeSH
- Movement Disorders diagnostic imaging therapy MeSH
- Sensitivity and Specificity MeSH
- User-Computer Interface MeSH
- Quality Assurance, Health Care standards MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Review 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.
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