scholarly journals Digital Analysis of Nasal Airflow Facilitating Decision Support in Rhinosurgery

2019 ◽  
Vol 35 (01) ◽  
pp. 003-008 ◽  
Author(s):  
Jan Brüning ◽  
Hans Lamecker ◽  
Stefan Zachow ◽  
Werner Heppt ◽  
Nora Schmidt ◽  
...  
Keyword(s):  
Nasal Cavity ◽  
Clinical Information ◽  
Statistical Shape Model ◽  
Digital Analysis ◽  
Nasal Airflow ◽  
Shape Model ◽  
Target Orientation ◽  
Comprehensive Diagnosis ◽  
Statistical Shape ◽  
Functional Surgery

AbstractSuccessful functional surgery on the nasal framework requires reliable and comprehensive diagnosis. In this regard, the authors introduce a new methodology: Digital Analysis of Nasal Airflow (diANA). It is based on computational fluid dynamics, a statistical shape model of the healthy nasal cavity and rhinologic expertise. diANA necessitates an anonymized tomographic dataset of the paranasal sinuses including the complete nasal cavity and, when available, clinical information. The principle of diANA is to compare the morphology and the respective airflow of an individual nose with those of a reference. This enables morphometric aberrations and consecutive flow field anomalies to localize and quantify within a patient’s nasal cavity. Finally, an elaborated expert opinion with instructive visualizations is provided. Using diANA might support surgeons in decision-making, avoiding unnecessary surgery, gaining more precision, and target-orientation for indicated operations.

The Healthy Nasal Cavity—Characteristics of Morphology and Related Airflow Based on a Statistical Shape Model Viewed from a Surgeon's Perspective

2019 ◽  
Vol 35 (01) ◽  
pp. 009-013
Author(s):  
Thomas Hildebrandt ◽  
Nora Schmidt ◽  
Hans Lamecker ◽  
Werner Heppt ◽  
Stefan Zachow ◽  
...  
Keyword(s):  
Nasal Cavity ◽  
Inferior Turbinate ◽  
Statistical Shape Model ◽  
Nasal Breathing ◽  
Shape Model ◽  
Statistical Shape ◽  
The Mean ◽  
Cavity Characteristics ◽  
Functional Surgery

AbstractFunctional surgery on the nasal framework requires referential criteria to objectively assess nasal breathing for indication and follow-up. This motivated us to generate a mean geometry of the nasal cavity based on a statistical shape model. In this study, the authors could demonstrate that the introduced nasal cavity's mean geometry features characteristics of the inner shape and airflow, which are commonly observed in symptom-free subjects. Therefore, the mean geometry might serve as a reference-like model when one considers qualitative aspects. However, to facilitate quantitative considerations and statistical inference, further research is necessary. Additionally, the authors were able to obtain details about the importance of the isthmus nasi and the inferior turbinate for the intranasal airstream.

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