The Effects of Nasal Septal Deviation on Anterior Skull Base Parameters.
Şeyda Akbal ÇufalıMehmet Ali ÇetinNurcan Yurtsever KumSüleyman Emre KarakurtPublished in: International archives of otorhinolaryngology (2024)
Introduction Functional endoscopic sinus surgery and endoscopic skull base surgery are frequently performed surgeries today. Nasal septal deviation is a common finding and can affect the surgical area. Therefore, it is important to examine the effect of this deviation on other anatomical structures. Objectıve The aim of the present study was to determine whether there is a relationship between the degree of nasal septal deviation and anterior skull base structures using computed tomography (CT). Methods A total of 312 patients (aged 18 to 65 years old) whose paranasal sinus CT images were available were included in the study. Measurements were obtained on images retrieved from Picture Archiving and Communication System (PACS) and Horos image archive systems in the bone window in the coronal and axial plane. Results The mean age of 312 patients was 33.00 years old (standard deviation [SD] 11.22 years). The presence of septal deviation was not associated with changes in olfactory fossa (OF) depths, Keros degrees, and the angle between the lateral lamella and the cribriform lamella. However, OF depths and Keros degrees on the deviated side of the septum were found to change at a significant level ( p < 0.05). No significant association was observed between the degree of septal deviation and cribriform lamella-lateral lamella angle. Conclusion The study showed significantly increased OF depth and Keros degree on the deviated side of the nasal septum. Performing CT scans before endoscopic sinus surgery and endoscopic skull base surgery is important to increase the chances of a successful surgical outcome and to reduce complications.
Keyphrases
- computed tomography
- minimally invasive
- coronary artery bypass
- end stage renal disease
- ultrasound guided
- dual energy
- high resolution
- deep learning
- contrast enhanced
- chronic kidney disease
- newly diagnosed
- ejection fraction
- image quality
- prognostic factors
- positron emission tomography
- magnetic resonance imaging
- heart failure
- optical coherence tomography
- surgical site infection
- machine learning
- risk factors
- convolutional neural network
- working memory
- magnetic resonance
- chronic rhinosinusitis
- mass spectrometry
- percutaneous coronary intervention