Hochschulschrift:
Dissertation, Universitätsmedizin der Universität Greifswald, 2019
Anmerkungen:
Literaturverzeichnis: Seite VII-XIII
Text deutsch, Publikationen englisch
Beschreibung:
MRT, Schlaganfall, MRI, Stroke
This cumulative thesis discusses the role of imaging in answering important questions related to recovery from a stroke event and focuses on MRI and motor stroke. Since strokes still represent the main cause of long-term disabilities and limitations, especially in Germany, it is of great interest to find out to what extent a single patient can regain full functionality and thus re-integration into everyday life. Early use of imaging techniques can significantly improve the predictability of a patient's motor skills. However, this approach is fraught with many difficulties, which are summarized in the review article [Horn et al., 2016a] and provide reasons why such a prediction could not already be integrated into the clinical routine. The article evaluates structural and functional imaging parameters for their suitability as a biomarker for predicting motor skills after stroke. Accompanying this, examples of such a prediction are given by another article [Lindow et al., 2016]. There are clear differences in the predictive power of structural parameters compared to functional parameters. In addition to the numerous factors that influence the imaging and the prediction thereof, there is also a lack of data that enables a structured processing of different hypotheses. In the present work it is described, why initially already investigated parameters should be collected in order to group patients in this regard. Only then can new imaging parameters be included in the prediction ...