Browsing by Author "Buyuk, Cansu"

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Citation Count: 0
Comparison of Cameriere and Demirjian Methods for Estimating Adulthood in Turkish Population
(Galenos Publ House, 2022) Arsan, Belde; Sakir, Merve; Buyuk, Cansu; Fisekcioglu, Erdogan; Kurt, Gozde; Ağız,Diş ve Çene Radyolojisi / Oral, Dental and Maxillofacial Radiology
Objective: The current study compares diagnostic performances of Demirjian's mineralization stage (DS) and Cameriere's third molar maturity index (I3M) on estimating adulthood in Turkish individuals and to investigate a more suitable cut-off value in a sample Turkish population.Materials and Methods: A retrospective study was conducted on a sample of digital panoramic images of 512 healthy individuals aged between 14 and 23 years old. The diagnostic capabilities were tested with receiver operating characteristic (ROC) curves, sensivities, specificity were evaluated and post-test probabilities were calculated with Bayes's theorem.Results: The areas under the ROC were 0.88 for DS and 0.89 for I3M. The sensitivity and the specifities of H stage were 41.4%, 97.9% for females and 64.3%, 93.4% for males, and I3M<0.08 were 46.8%, 97.4% for females and 71.4%, 92.6% for males. The cut-off of the dataset I3M<0.2 performed better for females, increasing sensitivity to 73.9%, post-test probability to 80.9% while decreasing specificity to 87.2%.Conclusion: I3M<0.2 performed better for females with higher sensitivity values while lowering the highest specificity values. Concerning legal rights and ethics, I3M<0.08 or H stage provide the most accurate and consistent results in adulthood determination in males, whereas in females I3M<0.08 and I3M<0.2 provide sufficient results when a test with the highest specificity is sought.
Citation Count: 0
Comparison of gray-level detectability on computer monitors among several dental specialties: A web-based study
(Wroclaw Medical Univ, 2023) Alpay, Burcin Arican; Buyuk, Cansu; Ates, Ayfer Atav; Ağız,Diş ve Çene Radyolojisi / Oral, Dental and Maxillofacial Radiology
Background. Diagnosis in dentistry begins with the correct reading and interpreting of the dental radio-graph.Objectives. The aim of the present study was to examine the effects of the imaging technique used, the dentistry specialty and the years of experience on the gray-level perception among dentists.Material and methods. A custom web application was developed. Dentomaxillofacial radiologists (DentRads), endodontists (Ends) and general dental practitioners (GDPs) were invited via e-mail to parti-cipate in the study. A total of 46 participants met the requirements of the test. The test comprised 2 webpages. On the 1st page, the participants were asked for information such as gender, specialty, the years of experience, and the imaging techniques they used. Then, on the 2nd page, they were welcomed with instructions and directions, and asked to rearrange 85 gray color tones represented by square bars of equal dimensions. These mixed gray bars were placed in 4 rows according to the principles of the Farnsworth- Munsell 100-hue test (FM). Each clinician's test results were recorded in a database. The individual's level of recognition of gray tones was evaluated through the total error score (TES), which was calculated using a web-based independent scoring software program. Lower TES values were a desirable result, indicating fewer misplacement, while higher scores indicated more misplacements of gray tones. The testing time (TT) was recorded automatically.Results. The years of the participants' experience as dentists or specialists did not affect TES or TT. The dentists who used the charge-coupled device-complementary metal oxide semiconductor (CCD-CMOS) had lower TES values than those who used analog radiographs (p < 0.05).Conclusions. While the specialty and the years of experience did not affect the clinicians' ability to recognize gray tones, the digital imaging techniques (photostimulable phosphor (PSP) and CCD/CMOS) could improve the clinicians'gray-level perception.
Citation Count: 3
Detection of the separated root canal instrument on panoramic radiograph: a comparison of LSTM and CNN deep learning methods
(British inst Radiology, 2023) Buyuk, Cansu; Alpay, Burcin Arican; Er, Fusun; Ağız,Diş ve Çene Radyolojisi / Oral, Dental and Maxillofacial Radiology
Objectives: A separated endodontic instrument is one of the challenging complications of root canal treatment. The purpose of this study was to compare two deep learning methods that are convolutional neural network (CNN) and long short -term memory (LSTM) to detect the separated endodontic instruments on dental radiographs.Methods: Panoramic radiographs from the hospital archive were retrospectively evaluated by two dentists. A total of 915 teeth, of which 417 are labeled as "separated instrument" and 498 are labeled as "healthy root canal treatment" were included. A total of six deep learning models, four of which are some varieties of CNN (Raw -CNN, Augmented -CNN, Gabor filtered -CNN, Gabor-filtered -augmented -CNN) and two of which are some varieties of LSTM model (Raw- LSTM, Augmented-LSTM) were trained based on several feature extraction methods with an applied or not applied an augmentation procedure. The diagnostic performances of the models were compared in terms of accuracy, sensitivity, specificity, positive-and negative-predictive value using 10 -fold cross-validation. A McNemar's tests was employed to figure out if there is a statistically significant difference between performances of the models. Receiver operating characteristic (ROC) curves were developed to assess the quality of the performance of the most promising model (Gabor filtered -CNN model) by exploring different cut -off levels in the last decision layer of the model.Results: The Gabor filtered -CNN model showed the highest accuracy (84.37 +/- 2.79), sensitivity (81.26 +/- 4.79), positive-predictive value (84.16 +/- 3.35) and negative-predictive value (84.62 +/- 4.56 with a confidence interval of 80.6 +/- 0.0076. McNemar's tests yielded that the performance of the Gabor filtered -CNN model significantly different from both LSTM models (p < 0.01).Conclusions: Both CNN and LSTM models were achieved a high predictive performance on to distinguish separated endodontic instruments in radiographs. The Gabor filtered -CNN model without data augmentation gave the best predictive performance.
Citation Count: 4
A Fused Deep Learning Architecture for the Detection of the Relationship between the Mandibular Third Molar and the Mandibular Canal
(Mdpi, 2022) Buyuk, Cansu; Akkaya, Nurullah; Arsan, Belde; Unsal, Gurkan; Aksoy, Secil; Orhan, Kaan; Ağız,Diş ve Çene Radyolojisi / Oral, Dental and Maxillofacial Radiology
The study aimed to generate a fused deep learning algorithm that detects and classifies the relationship between the mandibular third molar and mandibular canal on orthopantomographs. Radiographs (n = 1880) were randomly selected from the hospital archive. Two dentomaxillofacial radiologists annotated the data via MATLAB and classified them into four groups according to the overlap of the root of the mandibular third molar and mandibular canal. Each radiograph was segmented using a U-Net-like architecture. The segmented images were classified by AlexNet. Accuracy, the weighted intersection over union score, the dice coefficient, specificity, sensitivity, and area under curve metrics were used to quantify the performance of the models. Also, three dental practitioners were asked to classify the same test data, their success rate was assessed using the Intraclass Correlation Coefficient. The segmentation network achieved a global accuracy of 0.99 and a weighted intersection over union score of 0.98, average dice score overall images was 0.91. The classification network achieved an accuracy of 0.80, per class sensitivity of 0.74, 0.83, 0.86, 0.67, per class specificity of 0.92, 0.95, 0.88, 0.96 and AUC score of 0.85. The most successful dental practitioner achieved a success rate of 0.79. The fused segmentation and classification networks produced encouraging results. The final model achieved almost the same classification performance as dental practitioners. Better diagnostic accuracy of the combined artificial intelligence tools may help to improve the prediction of the risk factors, especially for recognizing such anatomical variations.
Citation Count: 10
Morphological assessment of the stylohyoid complex variations with cone beam computed tomography in a Turkish population
(Via Medica, 2018) Buyuk, C.; Gunduz, K.; Avsever, H.; Ağız,Diş ve Çene Radyolojisi / Oral, Dental and Maxillofacial Radiology
Background: The aim of this investigation was to evaluate the length, thickness, sagittal and transverse angulations and the morphological variations of the stylohyoid complex (SHC), to assess their probable associations with age and gender, and to investigate the prevalence of it in a wide range of a Turkish sub-population by using cone beam computed tomography (CBCT). Materials and methods: The CBCT images of the 1000 patients were evaluated retrospectively. The length, thickness, sagittal and transverse angulations, morphological variations and ossification degrees of SHC were evaluated on multiplanar reconstructions (MPR) adnd three-dimensional (3D) volume rendering (3DVR) images. The data were analysed statistically by using nonparametric tests, Pearson's correlation coefficient, Student's t test, chi(2) test and one-way ANOVA. Statistical significance was considered at p < 0.05. Results: It was determined that 684 (34.2%) of all 2000 SHCs were elongated (> 35 mm). The mean sagittal angle value was measured to be 72.24 degrees and the mean transverse angle value was 70.81 degrees. Scalariform shape, elongated type and nodular calcification pattern have the highest mean age values between the morphological groups, respectively. Calcified outline was the most prevalent calcification pattern in males. There was no correlation between length and the calcification pattern groups while scalariform shape and pseudoarticular type were the longest variations. Conclusions: We observed that as the anterior sagittal angle gets wider, SHC tends to get longer. The most observed morphological variations were linear shape, elongated type and calcified outline pattern. Detailed studies on the classification will contribute to the literature.
Citation Count: 4
Prevalence and characteristics of pneumatizations of the articular eminence and roof of the glenoid fossa on cone-beam computed tomography
(Springer, 2019) Buyuk, Cansu; Gunduz, Kaan; Avsever, Hakan; Ağız,Diş ve Çene Radyolojisi / Oral, Dental and Maxillofacial Radiology
ObjectiveThe aim of this study was to determine the prevalence and characteristics of pneumatization of the articular tubercle (PAT) and pneumatization of the roof of the glenoid fossa (PRGF) in a large population using cone-beam computed tomography (CBCT).Materials and MethodsThis study was designed to evaluate the CBCT images of 1000 patients. The prevalences of the pneumatizations by age, sex, locularity, and laterality were determined. The significance of differences between variables was evaluated by the Chi-square test and analysis of variance.ResultsPAT was detected in 28.4% of the zygomatic bone sides and PRGF in 29.6%. Bilateral PAT was detected in 176 (17.6%) patients and bilateral PRGF in 195 (19.5%). The mean age of patients with PAT was 47.33years and that of patients with PRGF was 45.62years. Multilocular appearance was observed significantly more often than unilocular type for both pneumatizations (p<0.01). Unilateral PAT cases were slightly, but significantly, higher than bilateral PAT cases (p=0.047), while no significant difference was observed between unilateral and bilateral PRGF cases.ConclusionsIn conclusion, PAT and PRGF can be assessed more accurately on CBCT images than on plain radiographs. During routine radiological investigations, maxillofacial radiologists should be aware of zygomatic air cells.
Citation Count: 0
Promax artefakt azaltma algoritmasının titanyum ve zirkonyum implantların oluşturduğu artefaktlar üzerine etkisi
(2020) Özgür ERDOĞAN; Cansu BÜYÜK; Tamer Lütfi ERDEM; Belde ARSAN; Ağız,Diş ve Çene Cerrahisi / Oral, Dental and Maxillofacial Surgery; Ağız,Diş ve Çene Radyolojisi / Oral, Dental and Maxillofacial Radiology
Amaç: Artefaktlar görüntü kalitesini düşürürler. Literatürdetitanyum (Ti) ve zirkonyum (Zr) implant artefaktları ileilgili çalışma sayısı kısıtlıdır. Bu çalışmanın amacı, farklıçekim parametreleri ile ProMax Artefakt Azaltma Algoritması’nın(AAA) konik ışınlı bilgisayarlı tomografi (KIBT)görüntülerinde Ti ve Zr implantların oluşturduğu artefaktlarüzerine olan etkisinin değerlendirilmesi ve karşılaştırılmasıdır.Materyal ve Metod: Bir Zr ve bir Ti implant sığır kaburgasınayerleştirildi. Bu kemik ProMax 3D Mid KIBT cihazıile tarandı. Görüntüler 70, 76, 80, 86 ve 90 kVp’de, 2 farklıvoksel boyutunda (0.2 ve 0.4 mm) elde edildi. AAA kullanılarakve kullanılmadan 20 çekim yapıldı. Elde edilengörüntüler ImageJ programına aktarıldı. Ortalama grideğeri (GV) ve standart sapma (SD) ile kontrast-gürültüoranı (CNR) hesaplandı. İstatistiksel analizlerde Pearson’skorelasyon katsayısı, Student’s t-test, ANOVA and multiplregresyon analizi testleri kullanıldı.Bulgular: AAA her iki implant grubunda da SD’yi anlamlıderecede azalttı (p<0.001) ve bu azalma Zr implant içindaha yüksekti. Algoritmanın aktivasyonu ile kVp ve Zr implanttakiSD arasında önemli bir negatif korelasyongözlendi (p<0.05). Her iki implant grubunda da GV veCNR değerleri anlamlı olarak yükseldi ve bu artış Zr grubundadaha yüksekti (p<0.001).Sonuç: Zr, KIBT görüntülerini Ti’den daha fazla bozmaktadır.Promax cihazının AAA her iki implant grubunda dagörüntü kalitesini iyileştirmektedir ve Zr implantlarüzerine etkisi daha yüksektir.
Citation Count: 0
Radiomorphometric Analysis of Dental and Trabecular Bone Changes in Bruxism Patients
(2023) Cansu BÜYÜK; Belde ARSAN; Ağız,Diş ve Çene Radyolojisi / Oral, Dental and Maxillofacial Radiology
Purpose: The aim of the study was to analyze the changes detected in panoramic radiographs due to bruxism with qualitative and quantitative scales. Materials and Methods: 173 panoramic radiographs of 93 healthy and 80 bruxist individuals were included. Maxillary and mandibular teeth were classiőed as anterior and posterior on radiographs; widening of the periodontal ligament (PDL) space, attrition, presence of pulp stones, and pulpal sclerosis were scored. Fractal dimension (FD) analyses were calculated in 10 regions of interest (ROI) including bilateral condylar region, gonial region, ramus, apical areas between the 1st molar -2nd premolar, and the 1st premolar and the canine. Data were analyzed with descriptive statistics, KolmogorovśSmirnov, Independent sample t-test, and Spearman correlation tests. Results: 98 women and 75 men were included. There was no statistically signiőcant difference between the genders (p>0.05). The incidence of widening of the PDL space, attrition, and pulpal sclerosis was signiőcantly higher in bruxist patients than in the control group (p<0.001). The incidence of widening of the PDL space (p=0.004), pulpal sclerosis (p<0.001), and the presence of pulp stones (p<0.001) were signiőcantly higher in the posterior regions. The mean FD of the condyle was 1.18 ±0.16 in the healthy group and 1.20 ±0.11 in the bruxist group. Conclusions: The incidence of widening of the PDL space, attrition, and pulpal sclerosis was higher in bruxists. FD didn’t demonstrate significant differences in the mandibular trabecular structures of bruxist and healthy individuals.
Citation Count: 0
TEACHERS' OPINIONS ON TECHNOLOGY LEADERSHIP ROLES OF SCHOOL PRINCIPALS DURING THE COVID-19 PANDEMIC
(Anadolu Univ, 2024) Simsek, Yucel; Sert, Tamer; Himmetoglu Dal, Beyza; Periodontoloji / Periodontology; Ağız,Diş ve Çene Radyolojisi / Oral, Dental and Maxillofacial Radiology
The main purpose of this study is to examine the opinions of teachers about technology leadership roles of school principals during the Covid-19 pandemic. The study, which utilized qualitative research methods, was designed as a survey study. Sample group of the study constituted of 259 teachers. Data of the study was collected with "Elementary School Principals' Technology Leadership Role Scale" and analyzed via descriptive statistics, independent sample t-test, one-way ANOVA and Mann Whitney-U test. According to the results, both elementary school teachers and subject matter teachers think that school principals successfully demonstrated the role of technology leadership roles during the Covid-19 pandemic. As a result of the analyses conducted to determine whether teachers' opinions vary according to various variables, it was concluded that there are no differences in terms of the entire scale and its dimensions based on genders and seniority of teachers. In terms of the working domain, it was seen the opinions of elementary school teachers on vision dimension are higher than those of subject matter teachers. Based on the results, some recommendations which can contribute to both implementation and theory have been developed. Accordingly, conducing researches which employ multiple data collection methods and tools to investigate technology leadership roles of school principals is considered important.