TY - JOUR
T1 - The nasal septum deviation index (NSDI) based on CBCT data
AU - Codari, Marina
AU - Zago, Matteo
AU - Guidugli, Giulia A.
AU - Pucciarelli, Valentina
AU - Tartaglia, Gianluca M.
AU - Ottaviani, Francesco
AU - Righini, Stefano
AU - Sforza, Chiarella
PY - 2015
Y1 - 2015
N2 - Objective: To assess whether three-dimensional morphometric parameters could be useful in nasal septal deviation (NSD) diagnosis and, secondarily, whether CBCT could be considered an adequate imaging technique for the proposed task. Methods: We analysed images of 46 subjects who underwent CBCT for reasons not related to this study. Two experienced operators divided all the images into healthy and NSD subjects. Subsequently, the images were segmented using ITK Snap in order to obtain the three-dimensional model of the nasal airways and compute four morphological parameters: septal deviation angle (SDA), percentage of volume difference between right and left side of the nasal airways, nasal airway total volume and a new synthetic septal deviation index (SDI). Principal component analysis (PCA) was used to unveil relationships between each variable and the global nasal airway variability. Results: Differences between the groups were found in SDA (p,0.001), in volume percentage difference (p,0.05) and in SDI (p,0.001). PCA showed high correlation between the SDI and the first principal component (0.97, p,0.001). Conclusions: Among the analysed parameters, SDI seemed to be the most suitable for the quantitative assessment of NSD, and CBCT allowed accurate assessment of airway morphology.
AB - Objective: To assess whether three-dimensional morphometric parameters could be useful in nasal septal deviation (NSD) diagnosis and, secondarily, whether CBCT could be considered an adequate imaging technique for the proposed task. Methods: We analysed images of 46 subjects who underwent CBCT for reasons not related to this study. Two experienced operators divided all the images into healthy and NSD subjects. Subsequently, the images were segmented using ITK Snap in order to obtain the three-dimensional model of the nasal airways and compute four morphological parameters: septal deviation angle (SDA), percentage of volume difference between right and left side of the nasal airways, nasal airway total volume and a new synthetic septal deviation index (SDI). Principal component analysis (PCA) was used to unveil relationships between each variable and the global nasal airway variability. Results: Differences between the groups were found in SDA (p,0.001), in volume percentage difference (p,0.05) and in SDI (p,0.001). PCA showed high correlation between the SDI and the first principal component (0.97, p,0.001). Conclusions: Among the analysed parameters, SDI seemed to be the most suitable for the quantitative assessment of NSD, and CBCT allowed accurate assessment of airway morphology.
KW - CBCT
KW - Computer-assisted
KW - Image interpretation
KW - Nasal septum
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U2 - 10.1259/dmfr.20150327
DO - 10.1259/dmfr.20150327
M3 - Article
C2 - 26783044
AN - SCOPUS:84956651643
VL - 45
JO - Dentomaxillofacial Radiology
JF - Dentomaxillofacial Radiology
SN - 0250-832X
IS - 2
M1 - 20150327
ER -