The Analysis of Computed Tomography of Paranasal Sinuses in Nasal Septal Deviation

Yazici, Demet

doi:10.1097/scs.0000000000005077

Cited by 15 publications

(16 citation statements)

References 13 publications

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“…Concha bullosa, which is the aberrant pneumatization of the middle turbinate, affects the shape of the nasal septum leading to the occurrence of NSD ( Lee et al, 2008 ). Incidence of Concha bullosa in patients with NSD has been shown to be higher in previous studies ( Yazici, 2019 ). Patients with both nasal septum and Concha bullosa often display more severe histomorphological variation ( Tomblinson et al, 2016 ).…”

Section: Discussionmentioning

confidence: 67%

A prediction modeling based on SNOT-22 score for endoscopic nasal septoplasty: a retrospective study

Kang

Chen

et al. 2020

PeerJ

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Background To create a nomogram prediction model for the efficacy of endoscopic nasal septoplasty, and the likelihood of patient benefiting from the operation. Methods A retrospective analysis of 155 patients with nasal septum deviation (NSD) was performed to develop a predictive model for the efficacy of endoscopic nasal septoplasty. Quality of life (QoL) data was collected before and after surgery using Sinonasal Outcome Test-22 (SNOT-22) scores to evaluate the surgical outcome. An effective surgical outcome was defined as a SNOT-22 score change ≥ 9 points after surgery. Multivariate logistic regression analysis was then used to establish a predictive model for the NSD treatment. The predictive quality and clinical utility of the predictive model were assessed by C-index, calibration plots, and decision curve analysis. Results The identified risk factors for inclusion in the predictive model were included. The model had a good predictive power, with a AUC of 0.920 in the training group and a C index of 0.911 in the overall sample. Decision curve analysis revealed that the prediction model had a good clinical applicability. Conclusions Our prediction model is efficient in predicting the efficacy of endoscopic surgery for NSD through evaluation of factors including: history of nasal surgery, preoperative SNOT-22 score, sinusitis, middle turbinate plasty, BMI, smoking, follow-up time, seasonal allergies, and advanced age. Therefore, it can be cost-effective for individualized preoperative assessment.

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Section: Discussionmentioning

confidence: 67%

A prediction modeling based on SNOT-22 score for endoscopic nasal septoplasty: a retrospective study

Kang

Chen

et al. 2020

PeerJ

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“…According to his results, the incidence of concha bullosa was higher in patients with nasal septal deviation when compared to the current literature. 17 A deviated nasal septum may be congenital or due to trauma, including minor trauma in early life or birth trauma. The deviation may be mild and asymptomatic.…”

Section: Nasal Septum Deviationmentioning

confidence: 99%

“…According to his results, the incidence of concha bullosa was higher in patients with nasal septal deviation when compared to the current literature. 17…”

Section: Anatomical Variantsmentioning

confidence: 99%

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Nasal cavities and the nasal septum: Anatomical variants and assessment of features with computed tomography

et al. 2020

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The nasal cavities are complex anatomical structures with high inter-individual variability that relates to different functions. Different anatomic variants may manifest at this site, mainly belonging to the nasal septum and turbinates. Precise knowledge of the anatomy and variants is fundamental for both radiologists and ENT surgeons. This article provides an overview of the main anatomic variants and their frequency, according to the existing literature, as well as ongoing research on nasal cavity segmentation in order to obtain personal 3D models and to predict post-surgical results.

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“…The anatomical structure of the paranasal sinuses (PNSs) of a person predetermines the risk of development, diversity of presentation, possibility of complications and features of surgical treatment of their inflammation, rhinosinusitis [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Anatomical Predictions of Development of Rhinosinusitis and Its Complications

Alekseeva

2020

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Background. The anatomical structure of the paranasal sinuses of a person predetermines the risk of development, diversity of presentation, possibility of complications and features of surgical treatment of rhinosinusitis. Objective: of our study was to determine the thickness and density of the walls of the maxillary and frontal sinuses, which are potentially dangerous in terms of the development of complications. Materials and methods: Our study involved 121 subjects without any ENT diseases, who underwent SCT examination due to the reasons that were not related to abnormalities of ENT organs. Thickness and density in the region of the lower (orbital) wall and posterior (cerebral) wall of the frontal sinus were calculated. Results and Discussion: The maximum density was characteristic of the lower wall of the frontal sinus under physiological conditions and appeared 107.96 ± 201.64 Hu, the minimum for the lower wall was -29.98 ± 208.54 Hu. The thickness of the bone tissue in the frontal sinus was 4.05 ± 2.04 mm. Conclusion: The minimum density and thickness of the lower and posterior walls of the frontal sinus and upper and lower walls of the maxillary sinus was established under physiological conditions. The density of the posterior wall was found to be 25.4% lower than the density of the lower wall, and the thickness 22.2% lower.

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The Analysis of Computed Tomography of Paranasal Sinuses in Nasal Septal Deviation

Cited by 15 publications

References 13 publications

A prediction modeling based on SNOT-22 score for endoscopic nasal septoplasty: a retrospective study

A prediction modeling based on SNOT-22 score for endoscopic nasal septoplasty: a retrospective study

Nasal cavities and the nasal septum: Anatomical variants and assessment of features with computed tomography

Anatomical Predictions of Development of Rhinosinusitis and Its Complications

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