Zusammenfassung
Die menschliche Nase übernimmt einen großen Teil der Präkonditionierung eingeatmeter Luft. Zahlreiche pathologische Veränderungen können die Physiologie der Nase beeinträchtigen. Die Anfänge der Strömungsanalysen wurden mit dreidimensionalen Abgussmodellen und farbig markierten Flüssigkeiten durchgeführt. Temperatur und Feuchtigkeit konnten hierbei nicht berücksichtigt werden. Heute sind wesentlich komplexere Analysen mittels „computational fluid dynamics“ (CFD) möglich, die auf dreidimensionalen Modellen basieren, welche aus Datensätzen der Computertomographie (CT) oder Magnetresonanztomographie (MRT) erstellt werden. Hierbei können Strömungsgeschwindigkeiten, Temperatur, Feuchtigkeit und Druckdifferenzen in Abhängigkeit von multiplen Randbedingungen simuliert und hochauflösend dargestellt werden. Die Analyse pathologischer Veränderungen oder operativer Eingriffen ist dadurch möglich.
Abstract
The human nose takes primary responsibility for preconditioning inhaled air. Numerous pathologies can affect the physiology of the nose. The beginnings of flow analyzes were carried out with three-dimensional casting models and differently colored liquids. Temperature and humidity could not be taken into account. Today, much more complex analyzes are possible using computational fluid dynamics (CFD), which are based on three-dimensional models generated from computed tomography (CT) or magnetic resonance imaging (MRI) datasets. Here, flow velocities, temperature, humidity, and pressure differences can be simulated and displayed in high-resolution videos as a function of multiple boundary conditions. The analysis of pathological changes or surgical interventions is thereby possible.
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Interessenkonflikt
F. Sommer, T.K. Hoffmann, G. Mlynski, M. Reichert, A.-S. Grossi und J. Lindemann geben an, dass kein Interessenkonflikt besteht. Die Projekte, welche in der Publikation beschrieben sind, wurden im Rahmen einer wissenschaftlichen Kooperation durch Herrn Dr. Ralf Kröger, Mitarbeiter der Firma ANSYS Germany, Darmstadt, unterstützt. Im Rahmen dieser Kooperation sollte untersucht werden, inwieweit der klinische Einsatz der Software „Fluent (ANSYS Workbench)“ im HNO-Bereich möglich ist und in welcher Form er für den Einsatz in der klinischen Routine vereinfacht werden kann. Die Lizenz der genannten Software war bereits vor Projektbeginn an der Universität Ulm existent. Im Rahmen dieser Kooperation bestehen keine finanziellen Interessenskonflikte.
Dieser Beitrag beinhaltet keine von den Autoren durchgeführten Studien an Menschen oder Tieren.
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Sommer, F., Hoffmann, T.K., Mlynski, G. et al. Dreidimensionale Analyse nasaler Physiologie . HNO 66, 280–289 (2018). https://doi.org/10.1007/s00106-017-0443-8
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DOI: https://doi.org/10.1007/s00106-017-0443-8
Schlüsselwörter
- Diagnostische Verfahren
- Oberer Respirationstrakt
- Nasale Physiologie
- Computational Fluid Dynamics
- Numerische Simulationen