Marina Codari1, Matteo Zago1, Giulia A Guidugli1,2, Valentina Pucciarelli1, Gianluca M Tartaglia1, Francesco Ottaviani2,3, Stefano Righini3, Chiarella Sforza1. 1. 1 Functional Anatomy Research Center (FARC), Laboratorio di Anatomia Funzionale, dell'Apparato Stomatognatico, Dipartimento di Scienze Biomediche per la Salute, Facoltà di Medicina e Chirurgia, Università degli Studi di Milano, Milano, Italy. 2. 2 Dipartimento di Scienze Cliniche e di Comunità, Facoltà di Medicina e Chirurgia, Università degli Studi di Milano, Milano, Italy. 3. 3 Ospedale San Giuseppe, Milano, Italy.
Abstract
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.
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.
Authors: Annemarie M H Wuister; Namiko A Goto; E J Oostveen; Werner U de Jong; Eline S van der Valk; Nina M Kaper; Mark C J Aarts; Wilko Grolman; Geert J M G van der Heijden Journal: Otolaryngol Head Neck Surg Date: 2013-12-09 Impact factor: 3.497
Authors: Karen Regina Siqueira de Souza; Paula Vanessa Pedron Oltramari-Navarro; Ricardo de Lima Navarro; Ana Cláudia de Castro Ferreira Conti; Marcio Rodrigues de Almeida Journal: Braz Oral Res Date: 2013 Jan-Feb