Zusammenfassung
Diffusion Tensor Imaging (DTI) ist ein Verfahren, das In-vivo-Aussagen über die Integrität
der weißen Substanz (Anisotropie) und den Verlauf von Nervenfaserverbindungen (Fiber
tracking) im Gehirn erlaubt. Dies geschieht mittels nicht-invasiver auf Kernspintomographie
beruhender Untersuchungsmethoden. Dieser Artikel gibt einen Überblick über die Methodik
und die aktuellen Anwendungsmöglichkeiten der Diffusionsbildgebung. Berücksichtigt
werden dabei Studien der letzten 10 Jahre bezogen auf relevante Krankheitsbilder aus
dem Gebiet der Neuropsychiatrie und Kinder- und Jugendpsychiatrie. Der Beitrag bietet
darüber hinaus eine Übersicht über die im Bereich Neurologie, Traumatologie und Onkologie
durchgeführten DTI-Studien im Kinder- und Jugendalter, die Gehirn- oder ZNS-Veränderungen
als Untersuchungsgegenstand aufwiesen. Ein besonderer Fokus liegt auf der Bedeutung
dieser Methode für die Erforschung von regulären und pathologischen Hirnreifungsprozessen.
Abstract
Diffusion tensor MR imaging (DTI) can provide in vivo unique information on integrity
of white matter structures (anisotropy) and connectivity (fiber tracking) in the human
brain. This is made possible by means of non-invasive MR-based technique. The purpose
of this article is to review the method and the current applications of diffusion
tensor MR imaging. Studies of the past decade featuring relevant neuropsychiatric
disorders as well as disorders in child psychiatry are reviewed. Furthermore, this
report offers a summary of DTI-studies in children and adolescents showing alterations
in brain or CNS structures including neurological, traumatological and oncological
investigations. In particular, it focuses on the importance of this method with respect
to exploration of normal and pathological brain development.
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Prof. Dr. med. Michael Schulte-Markwort
Universitätsklinikum Hamburg-Eppendorf · Zentrum Frauen-, Kinder- und Jugendmedizin
· Klinik und Poliklinik für Kinder- und Jugendpsychosomatik
Martinistr. 52
20246 Hamburg
Email: schulte.markwort@uke.uni-hamburg.de