Association between pterygoid hamulus length and apnea hypopnea index in patients with obstructive sleep apnea: a combined three-dimensional cone beam computed tomography and polysomnographic study

Oz, Ulas; Orhan, Kaan; Aksoy, Seçil; Ciftci, Fatma; Özdoğanoğlu, Tunis; Rasmussen, Finn

doi:10.1016/j.oooo.2015.10.032

Cited by 18 publications

(9 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(Medicim, Sint-Niklass, Belgium) to generate a good quality 3D image of the patients. The design of the study is very similar to that is used by Oz et al [ 10 ]. Unlike these studies, two planes passing through the supraorbital and infraorbital foramen on both sides were drawn to determine the relation of the impressio trigeminale to the plane.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of Anatomoradiological Findings on Trigeminal Neuralgia Patients Using Computed Tomography and Cone-Beam Computed Tomography

Aksoy¹,

Sakul

Görür³

et al. 2021

Diagnostics

Self Cite

View full text Add to dashboard Cite

The study aimed to establish and evaluate anatomoradiological landmarks in trigeminal neuralgia patients using computed tomography (CT) and cone-beam CT. CT images of 40 trigeminal neuralgia (TN) and 40 healthy individuals were retrospectively analyzed and enrolled in the study. The width and length of the foramen rotundum (FR), foramen ovale (FO), foramen supraorbitale, and infraorbitale were measured. The distances between these foramen, between these foramen to the median plane, and between the superior orbital fissure, FO, and FR to clinoid processes were also measured bilaterally. Variations were evaluated according to groups. Significant differences were found for width and length of the foramen ovale, length of the foramen supraorbitale, and infraorbitale between TN and control subjects (p < 0.05). On both sides, FO gets narrower and the length of the infraorbital and supraorbital foramen shortens in the TN group. In most of the control patients, the plane which passes through the infraorbital and supraorbital foramen intersects with impression trigeminale; 70% on the right-side, and 67% in the left-side TN groups. This plane does not intersect with impression trigeminale and deviates in certain degrees. The determination of specific landmarks allows customization to individual patient anatomy and may help the surgeon achieve a more selective effect with a variety of percutaneous procedures in trigeminal neuralgia patients.

show abstract

Section: Methodsmentioning

confidence: 99%

Evaluation of Anatomoradiological Findings on Trigeminal Neuralgia Patients Using Computed Tomography and Cone-Beam Computed Tomography

Aksoy¹,

Sakul

Görür³

et al. 2021

Diagnostics

Self Cite

View full text Add to dashboard Cite

show abstract

“…Patients with severe OSA have longer pharyngeal airway length compared with patients with mild‐to‐moderate disease, lower hyoid bone position, thicker soft palates with longer hyoid to mandibular plane lengths or mandibular plane lengths . A recent study demonstrated a positive relationship between AHI and the length of the pterygoid hamulus, a structure that likely influences the function of several airway dilator muscles such as tensor palatini and palatopharyngeus. This recent study highlights our incomplete understanding of the anatomical changes in the airway of OSA patients.…”

Section: Osa Pathophysiology: Mild‐to‐severementioning

confidence: 99%

Obstructive sleep apnoea pathogenesis from mild to severe: Is it all the same?

2016

View full text Add to dashboard Cite

Obstructive sleep apnoea (OSA) is a common disorder caused by not only an impaired upper airway anatomy (i.e. anatomically narrow/collapsible airway), but also by several non-anatomical factors. In this review, we summarise what is known about how each of the pathological factors that cause OSA vary according to disease severity as measured by the apnoea-hypopnoea index. Our synthesis of the available literature indicates that most of the key factors that cause OSA vary with disease severity. However, there is substantial heterogeneity such that the relative contribution of each of these traits varies both between patients and within different severities of disease. These differences likely contribute to variable efficacy of many non-continuous positive airway pressure treatments and inconsistencies in responses with regard to different OSA severities at baseline.

show abstract

“…Frequent reasons for collapsing of the upper airway are described as; the competence of the airway by reflexes, pharyngeal inspiratory muscle activity, and anatomic contraction of the upper airway 5 , 6 . Since the diagnosis of OSA requires a multidisciplinary approach, a dentist, a neurologist, a cardiologist, an otorhinolaryngologist, and a pulmonary medicine specialist should be involved in the diagnosis and the treatment process 7 .…”

Section: Introductionmentioning

confidence: 99%

AI-based automatic segmentation of craniomaxillofacial anatomy from CBCT scans for automatic detection of pharyngeal airway evaluations in OSA patients

Orhan

Shamshiev

Ezhov

et al. 2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

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. Radiologists used semi-automatic software to manually determine the airway and their measurements were compared with the AI. OSA patients were classified as minimal, mild, moderate, and severe groups, and the mean airway volumes of the groups were compared. The narrowest points of the airway (mm), the field of the airway (mm2), and volume of the airway (cc) of both OSA and non-OSA patients were also compared. There was no statistically significant difference between the manual technique and Diagnocat measurements in all groups (p > 0.05). Inter-class correlation coefficients were 0.954 for manual and automatic segmentation, 0.956 for Diagnocat and automatic segmentation, 0.972 for Diagnocat and manual segmentation. Although there was no statistically significant difference in total airway volume measurements between the manual measurements, automatic measurements, and DC measurements in non-OSA and OSA patients, we evaluated the output images to understand why the mean value for the total airway was higher in DC measurement. It was seen that the DC algorithm also measures the epiglottis volume and the posterior nasal aperture volume due to the low soft-tissue contrast in CBCT images and that leads to higher values in airway volume measurement.

show abstract

Association between pterygoid hamulus length and apnea hypopnea index in patients with obstructive sleep apnea: a combined three-dimensional cone beam computed tomography and polysomnographic study

Cited by 18 publications

References 29 publications

Evaluation of Anatomoradiological Findings on Trigeminal Neuralgia Patients Using Computed Tomography and Cone-Beam Computed Tomography

Evaluation of Anatomoradiological Findings on Trigeminal Neuralgia Patients Using Computed Tomography and Cone-Beam Computed Tomography

Obstructive sleep apnoea pathogenesis from mild to severe: Is it all the same?

AI-based automatic segmentation of craniomaxillofacial anatomy from CBCT scans for automatic detection of pharyngeal airway evaluations in OSA patients

Contact Info

Product

Resources

About