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Öğe Assesment of Prelacrimal Recess in Patients With Maxillary Sinus Hypoplasia Using Cone Beam Computed Tomography(Sage Publications Inc, 2021) Duman, Suayip Burak; Gumussoy, IsmailBackground The prelacrimal recess approach, is frequently preferred in creating a minimally invasive surgical corridors. Objective The aim of this study was to evaluate the Prelacrimal recess (PLR) anatomy using Cone Beam Computed Tomography in patients with Maxillary Sinus Hypoplasia. Methods The paranasal Cone Beam Computed Tomography series of 84 adults were analyzed retrospectively. The antero-posterior and mesio-distal widths of the PLR and the antero-posterior width of the naso-lacrimal duct were measured. The patients were divided into three groups according to the antero-posterior width of PLR to evaluate the feasibility of prelacrimal recess approach as Type 1 (0-3 mm), Type 2 (>3-7 mm) and Type 3 (>7 mm). Results The mean antero-posterior width of PLR was 3.11 +/- 1.49mm in the patients and 4.77 +/- 1.76 mm in the controls. The mean mesio-distal width of PLR was 7.64 +/- 1.49 mm in the patients and 3.17 +/- 2.05 mm in the controls. The mean antero-posterior width of naso-lacrimal duct was 9.58 +/- 2.80 mm in the patients and 9.46 +/- 2.42 mm in the controls. Conclusions The width of the antero-posterior PLR in patients with Maxillary Sinus Hypoplasia was found to be significantly lower in comparison to individuals with normal maxillary sinuses in the measurements performed on paranasal Cone Beam Computed Tomography scans. Hence, while planning a Functional Endoscopic Sinus Surgery with prelacrimal recess approach for maxillary sinus, the anatomical structure of the naso-sinusoidal region should be carefully analyzed, and individual anatomical variations such as Maxillary Sinus Hypoplasia should not be ignored.Öğe Assessment of The Effects of Edentulousness on Temporomandibular Components by Using Cone Beam Computed Tomography(Univ Indonesia, Fac Dentistry, 2022) Arikan, Busra; Dedeoglu, Numan; Duman, Suayip BurakObjective: The aim of this study is to evaluate the effects of edentulousness on the temporomandibular joint using cone beam computed tomography (CBCT). Methods: In this study, CBCT images were evaluated in a total of 48 patients (24 dentulous, 24 edentulous). Ninety-six temporomandibular joint CBCT images were examined. Eminence inclination, condyle head widths and joint space were measured and statistically compared between the edentulous and dentulous groups. Results: The articular eminence inclination value the mediolateral width of the condyle and the anteroposterior width of the condyle were found significantly higher in the dentulous group than in the edentulous group. There was no significant difference between the dentulous and edentulous groups in terms of the anterior, superior and posterior joint space. Conclusion: In the edentulous patients, the articular eminence inclination value, mediolateral and anteroposterior widths of the condyle head were found to lower in comparison to the dentulous patients.Öğe Automated Mesiodens Detection with Deep-Learning-Based System Using Cone-Beam Computed Tomography Images(Wiley-Hindawi, 2023) Syed, Ali Zakir; Ozen, Duygu Celik; Abdelkarim, Ahmed Z.; Duman, Suayip Burak; Bayrakdar, Ibrahim Sevki; Duman, Sacide; Celik, OzerThe detection of mesiodens supernumerary teeth is crucial for appropriate diagnosis and treatment. The study aimed to develop a convolutional neural network (CNN)-based model to automatically detect mesiodens in cone-beam computed tomography images. A datatest of anonymized 851 axial slices of 106 patients' cone-beam images was used to process the artificial intelligence system for the detection and segmentation of mesiodens. The CNN model achieved high performance in mesiodens segmentation with sensitivity, precision, and F1 scores of 1, 0.9072, and 0.9513, respectively. The area under the curve (AUC) was 0.9147, indicating the model's robustness. The proposed model showed promising potential for the automated detection of mesiodens, providing valuable assistance to dentists in accurate diagnosis.Öğe Automatic Feature Segmentation in Dental Periapical Radiographs(Mdpi, 2022) Ari, Tugba; Saglam, Hande; Oksuzoglu, Hasan; Kazan, Orhan; Bayrakdar, Ibrahim Sevki; Duman, Suayip Burak; Celik, OzerWhile a large number of archived digital images make it easy for radiology to provide data for Artificial Intelligence (AI) evaluation; AI algorithms are more and more applied in detecting diseases. The aim of the study is to perform a diagnostic evaluation on periapical radiographs with an AI model based on Convoluted Neural Networks (CNNs). The dataset includes 1169 adult periapical radiographs, which were labelled in CranioCatch annotation software. Deep learning was performed using the U-Net model implemented with the PyTorch library. The AI models based on deep learning models improved the success rate of carious lesion, crown, dental pulp, dental filling, periapical lesion, and root canal filling segmentation in periapical images. Sensitivity, precision and F1 scores for carious lesion were 0.82, 0.82, and 0.82, respectively; sensitivity, precision and F1 score for crown were 1, 1, and 1, respectively; sensitivity, precision and F1 score for dental pulp, were 0.97, 0.87 and 0.92, respectively; sensitivity, precision and F1 score for filling were 0.95, 0.95, and 0.95, respectively; sensitivity, precision and F1 score for the periapical lesion were 0.92, 0.85, and 0.88, respectively; sensitivity, precision and F1 score for root canal filling, were found to be 1, 0.96, and 0.98, respectively. The success of AI algorithms in evaluating periapical radiographs is encouraging and promising for their use in routine clinical processes as a clinical decision support system.Öğe Classification of temporomandibular joint osteoarthritis on cone beam computed tomography images using artificial intelligence system(Wiley, 2023) Eser, Gozde; Duman, Suayip Burak; Bayrakdar, Ibrahim Sevki; Celik, OzerBackgroundThe use of artificial intelligence has many advantages, especially in the field of oral and maxillofacial radiology. Early diagnosis of temporomandibular joint osteoarthritis by artificial intelligence may improve prognosis. ObjectiveThe aim of this study is to perform the classification of temporomandibular joint (TMJ) osteoarthritis and TMJ segmentation on cone beam computed tomography (CBCT) sagittal images with artificial intelligence. ResultsThe sensitivity, precision and F1 scores of the model for TMJ osteoarthritis classification are 1, 0.7678 and 0.8686, respectively. The accuracy value for classification is 0.7678. The prediction values of the classification model are 88% for healthy joints, 70% for flattened joints, 95% for joints with erosion and 86% for joints with osteophytes. The sensitivity, precision and F1 score of the YOLOv5 model for TMJ segmentation are 1, 0.9953 and 0.9976, respectively. The AUC value of the model for TMJ segmentation is 0.9723. In addition, the accuracy value of the model for TMJ segmentation was found to be 0.9953. ConclusionArtificial intelligence model applied in this study can be a support method that will save time and convenience for physicians in the diagnosis of the disease with successful results in TMJ segmentation and osteoarthritis classification.Öğe Clinical significance of maxillary sinus hypoplasia in dentistry: A CBCT study(Polish Dental Soc, 2020) Dedeoglu, Numan; Duman, Suayip BurakBackground. The anatomy of the maxillary sinus is especially important for dentists due to the close proximity of the sinus to the maxillary posterior teeth. Objectives. The aim of the present study was to investigate the frequency of maxillary sinus pathology, anatomical variations, and the relationship between the tooth roots and the maxillary sinus by comparing a group with maxillary sinus hypoplasia (MSH) and a control group using cone-beam computed tomography (CBCT). Material and methods. In the study, 69 CBCT images of 50 patients with MSH and 84 CBCT images of 49 patients without MSH were evaluated for pathology, and the presence of an accessory ostium, a septum and Haller cells in each maxillary sinus. Results. The coincidence of pathology with MSH was 29%, and with non-hypoplastic maxillary sinuses it was 44% (p = 0.055). An accessory ostium was found in 14.5% of scans with MSH and in 39.3% of those without MSH (p = 0.001). Haller cells were found in 2.9% of the MSH cases, whereas their incidence in the control group was 23.8% (p = 0.000). The occurrence of a sinus septum was at the level of 4.3% in the group with MSH and 23.8% in the group without MSH (p = 0.001). Conclusions. The incidence of the relationship between the sinus wall and the posterior root apices was found smaller in the dentulous MSH patients. Also, the distance between the root apices and the sinus wall was longer in the dentulous MSH patients, and the vertical and horizontal alveolar bone was larger in the posteriorly edentulous MSH patients.Öğe Cone beam computed tomography imaging of superior semicircular canal morphology: a retrospective comparison of cleft lip/palate patients and normal controls(Taylor & Francis Ltd, 2018) Altun, Oguzhan; Duman, Suayip Burak; Bayrakdar, Ibrahim Sevki; Yasa, Yasin; Duman, Sacide; Yilmaz, Sevcihan GunenObjective: This study evaluated the prevalence and morphological characteristics of the superior semicircular canal (SSCC) in cleft lip and palate (CUP) patients using cone beam computed tomography (CBCT). Materials and methods: CBCT images of 53CL/P patients (28 males and 25 females) and a control group of 76 patients (42 males and 34 females) were evaluated. Retrospectively, 258 temporal bone images from 129 patients were evaluated in terms of SSCC morphology and divided into a normal pattern (0.6-1.7mm in thickness), a papyraceous pattern (<0.5mm), a thick pattern (>1.8mm), a pneumatized pattern and dehiscent. The chi-squared test was used to compare differences among semicircular canal dehiscence (SSCD) patterns in the CL/P and control groups; p <.05 was taken to reflect statistical significance. Results: The characteristics of the SSCC were evaluated on CBCT images in patients with CL/P and controls. In total, 158 (61%) cases were normal (0.6-1.7mm in thickness), 31 (12%) papyraceous (<0.5 mm), 8 (3%) thick, and 34 (13%) pneumatized. SSCD was observed in 27 (11%) cases. Statistically significant differences between the CL/P and control groups were evident in terms of SSCC morphology (p<.001). Conclusions: SSCD should be considered if a CL/P patient exhibits a vestibular system deficiency. Oral and maxillofacial radiologists should pay attention to SSCD when interpreting CBCT images. Future studies should use high-level spatial resolution CBCT to focus on cleft site and SSCC morphology in larger patient populations.Öğe Cone-Beam Computed Tomography Evaluation of the Eustachian Tube in Patients With Cleft Lip and Palate Compared With Normal Controls(Lippincott Williams & Wilkins, 2020) Duman, Suayip Burak; Bayrakdar, Ibrahim Sevki; Yasa, YasinThe authors compared the morphological features of the Eustachian tube (ET) between patients with cleft lip and palate (CL/P) and normal controls using cone-beam computed tomography (CBCT). CBCT images of 51 CL/P patients (28 males and 23 females, mean age: 18.5 +/- 8.0 years) and a control group of 52 patients (22 males and 30 females, mean age: 25.23 +/- 10.65 years) were retrospectively evaluated. The Eustachian tube angle (ETA), Eustachian tube length (EL), and auditory tube angle (ATA) were measured on CBCT images. The ETA, EL, and ATA in the CL/P and normal control groups were 30.4 +/- 6.2 and 36.7 +/- 7.5 degrees; 24.7 +/- 3.7 and 27.7 +/- 4.3 mm; and 142.4 +/- 7.8 and 136.3 +/- 4.1 degrees, respectively. All between-group differences were statistically significant (allP < 0.05). There were no significant between-gender differences in either group (allP > 0.05). Continuous variables were compared using the Mann-Whitney U-test. The morphological features of the ET, measured via multiplanar reconstruction CBCT, differed between CL/P patients and normal controls. CBCT can be used to evaluate ET morphological features.Öğe Convolutional Neural Network Performance for Sella Turcica Segmentation and Classification Using CBCT Images(Mdpi, 2022) Duman, Suayip Burak; Syed, Ali Z.; Ozen, Duygu Celik; Bayrakdar, Ibrahim Sevki; Salehi, Hassan S.; Abdelkarim, Ahmed; Celik, OzerThe present study aims to validate the diagnostic performance and evaluate the reliability of an artificial intelligence system based on the convolutional neural network method for the morphological classification of sella turcica in CBCT (cone-beam computed tomography) images. In this retrospective study, sella segmentation and classification models (CranioCatch, Eskisehir, Turkiye) were applied to sagittal slices of CBCT images, using PyTorch supported by U-Net and TensorFlow 1, and we implemented the GoogleNet Inception V3 algorithm. The AI models achieved successful results for sella turcica segmentation of CBCT images based on the deep learning models. The sensitivity, precision, and F-measure values were 1.0, 1.0, and 1.0, respectively, for segmentation of sella turcica in sagittal slices of CBCT images. The sensitivity, precision, accuracy, and F1-score were 1.0, 0.95, 0.98, and 0.84, respectively, for sella-turcica-flattened classification; 0.95, 0.83, 0.92, and 0.88, respectively, for sella-turcica-oval classification; 0.75, 0.94, 0.90, and 0.83, respectively, for sella-turcica-round classification. It is predicted that detecting anatomical landmarks with orthodontic importance, such as the sella point, with artificial intelligence algorithms will save time for orthodontists and facilitate diagnosis.Öğe Evaluation of Lefort I Osteotomy Line and Pterygomaxillary Junction Region in Patients With Cleft Lip and Palate(Sage Publications Inc, 2021) Sancar, Bahadir; Duman, Suayip BurakObjective: This study aimed to evaluate the Le Fort I osteotomy line and pterygomaxillary junction via cone-beam computed tomography in individuals with cleft lip and palate (CLP). Design: Retrospective study. Patients and Methods: The study included individuals older than 16 years with CLP, who were scheduled for repositioning of the maxilla by Le Fort I osteotomy, and those with class III malocclusion with maxillary hypoplasia, who were scheduled for Le Fort I osteotomy. The measurements made in the area of the cleft of individuals with CLP were compared with both the side with no cleft and those with class III malocclusion with maxillary hypoplasia. A total of 11 measurements were made on the axial section parallel to the Frankfurt Horizontal plane, corresponding to the lower 1/5 of the distance between the infraorbital foramen and the anterior nasal spine. Results: There were significant differences both in the comparisons made between the individuals with CLP and those without CLP in terms of the canal-anterior alveolar crest (G) and sinus-anterior alveolar crest (L) measurements (P < .05). The mean measurement values showed that the measurement results were higher in individuals with CLP in general. Conclusion: In conclusion, we believe that there might be difficulties both in osteotomy and down fracture stages during Le Fort I osteotomies performed in individuals with CLP.Öğe Evaluation of radix entomolaris in mandibular first and second molars using cone-beam computed tomography and review of the literature(Springer, 2020) Duman, Suayip Burak; Duman, Sacide; Bayrakdar, Ibrahim Sevki; Yasa, Yasin; Gumussoy, IsmailObjectives The aim of the present study is to identify the prevalence of radix entomolaris in mandibular first and second molars and to determine morphological classifications and associations with other root and canals. Methods Mandibular first and second molar teeth of 850 Turkish patients were evaluated using cone-beam computed tomography. A total of 2800 mandibular first molars and second molars were screened. The CBCT examination was performed at five different axial levels. The prevalence of total radix entomolaris, unilateral-bilateral, right-left side and gender distributions, and the classification of radix entomolaris's canal configurations were measured. Results Radix entomolaris was found in 2.9% (n = 25) of the patients and 1.2% (n = 34) of the teeth. The prevalence of radix entomolaris in mandibular first molars was higher than in mandibular second molars (p < 0.01), in males than in females (p < 0.05) and in right side than left side. An additional tubercle was found in 23% of the teeth with radix entomolaris. For buccolingual orientation, Type A canal variation was the highest and Type C canal variation was the lowest. Regarding locations of cervical parts, Type III canal variation was the highest while Type I canal variation was the lowest. Conclusions The prevalence of radix entomolaris was lower in the Turkish population than in other Asian populations but, in multiethnic societies, it needs attention. Before starting endodontic treatment, the clinician should examine the radiography thoroughly and apply advanced radiography methods when necessary. Cone-beam computed tomography is a valuable advanced radiography method for assessing such anatomical variations in vivo.Öğe Evaluation of radix entomolaris in mandibular first and second molars using cone-beam computed tomography and review of the literature (vol 36, pg 320, 2020)(Springer, 2022) Duman, Suayip Burak; Duman, Sacide; Bayrakdar, Ibrahim Sevki; Yasa, Yasin; Gumussoy, Ismail[Abstract Not Available]Öğe Evaluation of Sella Turcica Shape and Dimensions in Cleft Subjects Using Cone-Beam Computed Tomography(Karger, 2017) Yasa, Yasin; Bayrakdar, Ibrahim Sevki; Ocak, Ali; Duman, Suayip Burak; Dedeoglu, NumanObjective: The aim of this study was to assess the morphology of the sella turcica and measure its size in cleft and noncleft subjects. Material and Methods: Cone-beam computed tomography (CBCT) images of 54 individuals (29 males; 25 females) with cleft and 85 (22 males; 63 females) without cleft were used for this study. Syndromic patients with cleft(s) were not included because of possible additional endocrinological and/or morphological disorders. Linear measurements included length, depth, and diameter. The shape of the sella turcica was analyzed in the cleft and noncleft groups. An independent t test was conducted to evaluate differences between genders and groups. One-way ANOVA was used to compare age groups. Results: The length (p < 0.001) of the sella turcica was smaller in noncleft subjects than in cleft subjects. Diameter (p = 0.014) and depth (p = 0.005) showed as constantly increasing from an age < 15 to >25 years in the overall assessment. The distribution of the shape of the sella turcica differed significantly between groups (p < 0.001). Conclusions: In this study, CBCT was used to assess the morphology of the sella turcica. A majority of the subjects with cleft had a flattened sella turcica compared to that of the control group. A shorter length of the sella turcica was more evident in the cleft subjects than in the control group. (C) 2016 S. Karger AG, BaselÖğe Gender Estimation with Parameters Obtained From the Upper Dental Arcade by Using Machine Learning Algorithms and Artificial Neural Networks(Pera Yayincilik Hizmetleri, 2023) Erkartal, Halil Saban; Tatli, Melike; Secgin, Yusuf; Toy, Seyma; Duman, Suayip BurakObjective: The aim of this study is to predict gender with parameters obtained from the upper dental arch by using machine learning algorithms (ML) machine learning algorithms and artificial neural networks to provide optimum aesthetics, functionality, long-term stability, diagnosis and treatment intervention in orthodontics, forensic medicine and anthropology. Methods: The study was conducted on cone-beam computed tomography (CBCT) images of 176 individuals between the ages of 18 and 55 who did not have any pathologies or surgical interventions in their upper dental arcade. The images obtained were transferred to RadiAnt DICOM Viewer program in Digital Imaging and Communications in Medicine format and all images were brought to orthogonal plane by applying 3D Curved Multiplanar Reconstruction. Length and curvature length measurements were performed on these images brought to orthogonal plane. The data obtained were used in ML algorithms and artificial neural networks input and rates of gender estimation were shown. Results: In the study, an accuracy ratio of 0.86 was found with ML models linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), logistic regression (LR) algorithm and an accuracy ratio of 0.86 was found with random forest (RF) algorithm. It was found with SHAP analyser of RF algorithm that the parameter of width at the level of 3rd molar teeth contributed the most to gender. An accuracy rate of 0.92 was found as a result of training for 500 times with multi-layer classifier perceptron (MLCP), which is an artificial neural network (ANN) model. Conclusion: As a result of our study, it was found that the parameters obtained from the upper dental arcade showed a high accuracy in estimation of gender. In this context, we believe that the present study will make important contributions to forensic sciences.Öğe Gender Prediction Using Cone-Beam Computed Tomography Measurements from Foramen Incisivum: Application of Machine Learning Algorithms and Artificial Neural Networks(Wolters Kluwer Medknow Publications, 2024) Senol, Deniz; Secgin, Yusuf; Harmandaoglu, Oguzhan; Kaya, Seren; Duman, Suayip Burak; Oner, ZuelalIntroduction: This study aims to predict gender using parameters obtained from images of the foramen (for.) incisivum through cone-beam computed tomography (CBCT) and employing machine learning (ML) algorithms and artificial neural networks (ANN).Materials and Methods: This study was conducted on 162 individuals in total. Precise measurements were meticulously extracted, extending from the foramen incisivum to the arcus alveolaris maxillaris, through employment of CBCT. The ML and ANN models were meticulously devised, allocating 20% for rigorous testing and 80% for comprehensive training.Results: All parameters that are evaluated, except for the angle between foramen palatinum majus and foramen incisivum-spina nasalis posterior (GPFIFPNS-A), exhibited a significant gender difference. ANN and among the ML algorithms, logistic regression (LR), linear discriminant analysis (LDA), and random rorest (RF) demonstrated the highest accuracy (Acc) rate of 0.82. The Acc rates for other algorithms ranged from 0.76 to 0.79. In the models with the highest Acc rates, 14 out of 17 male individuals and 13 out of 16 female individuals in the test set were correctly predicted.Conclusion: LR, LDA, RF, and ANN yielded high gender prediction rates for the measured parameters, while decision tree, extra tree classifier, Gaussian Naive Bayes, quadratic discriminant analysis, and K-nearest neighbors algorithm methods provided lower predictions. We believe that the evaluation of measurements extending from foramen incisivum to arcus alveolaris maxillaris through CBCT scanning proves to be a valuable method in gender prediction.Öğe In-vitro Diagnosis of Approximal Caries in Teeth Periapical Radiography with Different Exposure Parameters(Pera Yayincilik Hizmetleri, 2023) Altun, Oguzhan; Ozen, Duygu Celik; Dedeoglu, Numan; Duman, Suayip Burak; Eser, Gozde; Topaloglu, Edanur; Ozemre, BegumObjective: The aim of this study was to evaluate periapical radiographs of enamel caries, dentin caries, and deep caries with exposed pulp and intact teeth obtained in vitro using photo-stimulated phosphor plates (PSP) under different exposure parameters. Methods: 3 non-carious extracted molars were selected. The obtained molars were embedded in the wax created from pink wax by ensuring approximal contact and a base was created. 14 different imaging protocols were used with 60 kVp, 4 mA 0.02-0.1 second and 70 kVp 7 mA, 0.25-1.25 second exposure parameters. Intact teeth were imaged with these various imaging protocols. Artificial cavities were then created for enamel caries, dentin caries and deep caries with exposed pulp and imaged according to the same protocols. The images were evaluated by 3 clinicians who were blind to the exposure protocol and caries status. Inter-observer agreement with actual situations was examined with Kappa statistics. Results: In the low-dose group, the kappa values of observer 1, observer 2, and observer 3 were 0.905, 0.952, 0.952, respectively. The kappa values of observer 1, observer 2, and observer 3 in the ultralow-dose group were 0.833, 1, 1, and the kappa values of observer 1, observer 2, and observer 3 in the high-dose group were 1, 1, 0.833, respectively. The results obtained in all groups showed a statistically significant-excellent agreement (p<0.001). Conclusion: Approximal caries can be diagnosed with intraoral radiography obtained with low radiation doses with PSP in dentistry. Thus, patients could be exposed to less ionizing radiation.Öğe Morphologic Evaluations of Hypoglossal Canal using Cone Beam Computed Tomography(Univ Kebangsaan Malaysia, 2021) Duman, Suayip Burak; Seyrek, Mehmet; Yasa, Yasin; Gumussoy, Ismail; Dedeoglu, Numan; Bayrakdar, Ibrahim SevkiHypoglossal canal (HC) which begins from very slightly above the inner part of the anterolateral portion of the foramen magnum and is located above the occipital condyle of the occipital bone. The aim of this study is to examine HC morphology and variations using cone beam computed tomography (CBCT). The morphology and types of HC were investigated with 303 CBCT images (606 side). type 1 variation in 606 HC examined becomes the most commonly observed type (57.3%) while type 5 variation was the least common type of variation (0.8%). Type 1 BC was statistically higher in males (p=0.004). Because of HC, which is an anthropologically important point and enters the field of images in CBCT scan, it is recommended that dental radiologists should be aware of their variations and be wary of the pathologies that may occur in this region.Öğe Morphometric Analysis of Sella Turcica Using Cone Beam Computed Tomography(Lippincott Williams & Wilkins, 2017) Yasa, Yasin; Ocak, Ali; Bayrakdar, Ibrahim Sevki; Duman, Suayip Burak; Gumussoy, IsmailObjective: The purpose of this study was to assess morphological shape and morphometric analysis of the sella turcica using cone beam computed tomography (CBCT) in different planes of section (coronal and sagittal). Materials and Methods: CBCT images of 177 subjects of which 51 males and 126 females in the age group of 11 to 73 years were included in the study population. Linear dimensions which include the length, depth, diameter, and interclinoid distance were measured and the shape of sella turcica was analyzed. Results: Sella turcica had circular morphology in 69.5% of the subjects while flattened shape of sella turcica was observed in 16.4%, oval shape of sella turcica in 14%. There was no significant difference in the all measurements of sella turcica between males and females (P > 0.05). Diameter (P < 0.01), depth (P < 0.001), length (P < 0.05), and interclinoid distance (P < 0.05) of the sella turcica differed significantly with age. Conclusions: The anatomical structure of sella turcica can be studied effectively in CBCT images. Linear dimensions and shape of sella turcica in the current study can be used as reference standards for further investigations.Öğe Morphometric and morphological evaluation of mastoid emissary canal using cone-beam computed tomography(Sage Publications Ltd, 2023) Temiz, Mustafa; Ozen, Duygu Celik; Duman, Suayip Burak; Bayrakdar, Ibrahim Sevki; Kazan, Orhan; Jagtap, Rohan; Altun, OguzhanObjectives:This study aimed to determine mastoid emissary canal's (MEC) and mastoid foramen (MF) prevalence and morphometric characteristics on cone-beam computed tomography (CBCT) images to underline its clinical significance and discuss its surgical consequences. Methods:In the retrospective analysis, two oral and maxillofacial radiologists analyzed the CBCT images of 135 patients (270 sides). The biggest MF and MEC were measured in the images evaluated in MultiPlanar Reconstruction (MPR) views. The MF and MEC mean diameters were calculated. The mastoid foramina number was recorded. The prevalence of MF was studied according to gender and side of the patient. Results:The overall prevalence of MEC and MF was 119 (88.1%). The prevalence of MEC and MF is 55.5% in females and 44.5% in males. MEC and MF were identified as bilateral in 80 patients (67.20%) and unilateral in 39 patients (32.80%). The mean diameter of MF was 2.4 +/- 0.9 mm. The mean height of MF was 2.3 +/- 0.9. The mean diameter of the MEC was 2.1 +/- 0.8, and the mean height of the MEC was 2.1 +/- 0.8. There is a statistical difference between the genders (p = 0.043) in foramen diameter. Males had a significantly larger mean diameter of MF in comparison to females. Conclusion:MEC and MF must be evaluated thoroughly if the surgery is contemplated. Radiologists and surgeons should be aware of mastoid emissary canal morphology, variations, clinical relevance, and surgical consequences while operating in the suboccipital and mastoid areas to avoid unexpected and catastrophic complications. CBCT may be a reliable imaging diagnostic technique.Öğe Nasolabial Cyst: A Case Report with Ultrasonography and Magnetic Resonance Imaging Findings(Hindawi Ltd, 2017) Ocak, Ali; Duman, Suayip Burak; Bayrakdar, Ibrahim Sevki; Cakur, BinaliNasolabial cysts are uncommon nonodontogenic lesions that occur in the nasal alar region. These lesions usually present with asymptomatic swelling but can cause pain if infected. In this case report, we describe the inadequacy of conventional radiography in a nasolabial cyst case, as well as the magnetic resonance imaging (MRI) and ultrasonography (US) findings in a 54-year-old female patient.
