The aim of this retrospective analysis was to assess the incidence of ponticulus posticus and stylohyoid ligament calcification and to evaluate the morphological variations of the sella turcica within the Turkish demographic using CBCT scans. Involving a retrospective review of 460 CBCT scans and utilizing the NewTom 3G system, the study analyzed high-quality CBCT images to investigate ponticulus posticus, stylohyoid ligament calcifications, and sella turcica morphology. The ponticulus posticus was examined for complete or partial formations, while the stylohyoid ligament was classified according to its elongation and calcification patterns.
View Article and Find Full Text PDFObjectives: We aimed to explore the position, morphological, and morphometric properties of the hyoid bone (HB) and to investigate the effect of HB on the pharyngeal airway (PA) volume and cephalometric measurements.
Methods: A total of 305 patients with CT images were included in the study. DICOM images were transferred to the InVivoDental three-dimensional imaging software.
This study aims to generate and also validate an automatic detection algorithm for pharyngeal airway on CBCT data using an AI software (Diagnocat) which will procure a measurement method. The second aim is to validate the newly developed artificial intelligence system in comparison to commercially available software for 3D CBCT evaluation. A Convolutional Neural Network-based machine learning algorithm was used for the segmentation of the pharyngeal airways in OSA and non-OSA patients.
View Article and Find Full Text PDFObjective: We aimed to find morphological properties of the hyoid bone, which are predominant among the patients diagnosed with obstructive sleep apnoea (OSA), and compare them with healthy individuals.
Methods: A total of 67 cone-beam computed tomography (CBCT) image sequences of patients (44 males, 23 females) diagnosed with OSA and a total of 70 multislice computed tomography (MSCT) data of non-OSA patients (45 males, 25 females) were selected in this study. DICOM images were imported into InVivo 5.