The nasal septum deviation index (NSDI) based on CBCT data

Codari, Marina; Zago, Matteo; Guidugli, Giulia Andrea; Pucciarelli, Valentina; Tartaglia, Gianluca Martino; Ottaviani, F.; Righini, Stefano; Sforza, Chiarella

doi:10.1259/dmfr.20150327

Cited by 30 publications

(17 citation statements)

References 32 publications

(41 reference statements)

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“…The area of interest included the frontal sinuses at their respective ostium into the nasal cavities. Repeatability of the procedure of segmentation involving air spaces through a semi-automatic approach has already been verified by a previous publication [14]. Frontal sinuses from each individual were segmented twice from the same CT scan, in order to simulate AM and PM data for a possible matching procedure, and the respective models were included into two samples (named 1 and 2).…”

Section: Methodsmentioning

confidence: 85%

Does the choice of the reference model affect the results of 3D-3D superimposition procedure? A comparison of different protocols for personal identification

et al. 2021

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In literature, 3D-3D superimposition has been widely recognized as a valid method for personal identification. However, very little information is available about possible variability due to differences in protocols of registration of 3D models and calculation of RMS (root mean square) point-to-point distance. Frontal sinuses from 50 CT scans were segmented twice through the ITK-SNAP software and grouped in two samples (1 and 2). Maximum breadth, height and volume were measured. 3D models belonging to the same subject were then superimposed one on each other in 50 matches. In addition, superimposition of 50 random mismatches was performed. For each superimposition, the procedure was repeated four times choosing different reference models both for registration and calculation of RMS. Differences in RMS value among protocols of registration and RMS calculation were assessed through paired Student’s t-test (p < 0.05). Possible correlations between differences in RMS among groups and differences in frontal sinus size between the superimposed models were analysed through calculation of Pearson’s correlation coefficient (p < 0.05). Results showed that RMS calculation did not yield significant differences according to which 3D model is used as reference; on the other hand, RMS values from registration procedure significantly differ according to which model is chosen as reference, but only in the mismatch group (p < 0.001). Differences in RMS value according to RMS calculation are dependent upon all the three measurements, whereas differences according to registration protocols were significantly related only with the breadth of frontal sinuses but only in mismatches (p < 0.001). In no case, superimpositions of RMS values were found between matches and mismatches. This article for the first time proves that the protocol of registration and calculation of RMS significantly influences the results of 3D-3D superimposition only in case of mismatches.

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Section: Methodsmentioning

confidence: 85%

Does the choice of the reference model affect the results of 3D-3D superimposition procedure? A comparison of different protocols for personal identification

et al. 2021

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“…Another study conducted using CT on the Iraqi population also reported mean SDA values as reported in the present study [ 21 ]. However, in a study by conducted by Codari M et al in the Italian population, the mean SDA was 17.3 degrees [ 22 ]. Another CT-based study conducted in the Iranian population also reported of lower mean SDA values compared to the present study [ 23 ].…”

Section: Discussionmentioning

confidence: 99%

Analysis of inferior nasal turbinate width and concha bullosa in subjects with nasal septum deviation: a cone beam tomography study

et al. 2021

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Background In individuals with nasal septal deviation (NSD), compensatory hypertrophy of the nasal turbinates occurs as a protective mechanism of the nasal passage from dry and cold air. NSD associated nasal turbinate hypertrophy is usually recurrent, requiring repetitive imaging. Therefore, a multiplanar imaging modality with a low radiation dose is best suited for long-term follow-up of this condition. This study aimed to evaluate the association of width of inferior turbinates and presence of concha bullosa with the degree of NSD using Cone beam computed tomography (CT). Methods The CBCT scans of 100 patients with NSD were selected as per convenience sampling and were evaluated by two maxillofacial radiologists. The width of the non-hypertrophied inferior turbinate (NHT) on the convex side of the NSD, and hypertrophic inferior turbinates (HT) on the concave side of the NSD were measured at three locations. The septal deviation angle (SDA) and the presence of concha bullosa (CB) were determined. Results A significant difference was observed in the anterior, middle, posterior, and mean widths between HT and NHT (p < 0.001). There was a significant difference in the widths of the HT and NHT among different types of NSD. A strong positive correlation (r = 0.71, p < 0.001) was found between SDA and the mean width of the HT. Age (P = 0.71) and gender (P = 0.65) had no significant difference among different types of NSD. Regression analysis revealed that the presence of CB (p = 0.01) and middle width of the HT (p < 0.001) are significant predictors of SDA and type of NSD. Conclusion The results of the present study reveal that the middle width of the HT and the presence of CB influence the degree of NSD. The present study results recommend the use of CBCT as a substitutive low radiation dose imaging modality for evaluation of NSD, CB, and associated inferior turbinate hypertrophy.

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“…The several diagnostic methods currently used to investigate the NSD and MSMT 7,17 . The introduction of the CBCT provided the possibility of detecting anatomical abnormalities and pathologic areas within the nasal cavity and paranasal sinuses surrounding them for dentists and ENT specialists.…”

Section: Introductionmentioning

confidence: 99%

The prevalence of nasal septum deviation and its association with maxillary sinus mucosal thickening using cone-beam computed tomography

Romoozi¹,

Molaee²,

Rahimi³

et al. 2022

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Introduction: Maxillary sinus mucosal thickening is a very common disease that is attributed to several reasons including environmental and anatomical. The aim of this study was to investigate the prevalence and relationship between nasal septum deviation and maxillary sinus mucosal thickening using cone-beam computed tomography imaging. Methods: The nasal cavities and maxillary sinuses of 226 patients (169 women and 57 men) were retrospectively examined using cone beam computed tomography. Statistical analysis was done to determine the prevalence and relationship between the nasal septum deviation and maxillary sinus mucosal thickening regarding gender and age. The level of significance was set at 0.05 and statistical analysis was done using the SPSS version 26. Results: The average age of the participants was 43.7 ± 13.3 years. The prevalence of deviated nasal septum was 87.6% (95% CI, 82.6-91.3%), and no significant relationship between nasal septum deviation and age and gender was observed. The highest frequency of nasal septum deviation according to the Meladina classification modified by Rao et al. was assigned to type 7 (36%). Mucosal thickness > 2 mm was found in the right and left maxillary sinuses, 36.7%, and 34.5%, respectively.

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The nasal septum deviation index (NSDI) based on CBCT data

Cited by 30 publications

References 32 publications

Does the choice of the reference model affect the results of 3D-3D superimposition procedure? A comparison of different protocols for personal identification

Does the choice of the reference model affect the results of 3D-3D superimposition procedure? A comparison of different protocols for personal identification

Analysis of inferior nasal turbinate width and concha bullosa in subjects with nasal septum deviation: a cone beam tomography study

The prevalence of nasal septum deviation and its association with maxillary sinus mucosal thickening using cone-beam computed tomography

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