Yazar "Orhan, Kaan" seçeneğine göre listele

Listeleniyor 1 - 4 / 4
  • Küçük Resim
    Öğe
    Comparison of maxillary sinus volumes in individuals with different dentofacial skeletal patterns: A cone-beam computed tomography study
    (2023) Magat, Güldane; Tassoker, Melek; Lale, Bekir; Güleç, Melike; Özcan, Sevgi; Orhan, Kaan
    Introduction: In dentistry, the maxillary sinus is a paramount anatomical formation due to its proximity to teeth. The aim of this study is to evaluate the change of the maxillary sinus volumes (MSV) in accordance with three different types of skeletal malocclusions, by using digital three-dimensional (3D) modeling. Methods: Overall, 158 cone-beam computed tomography (CBCT) images of 79 patients were analyzed. The MSV was measured using the MIMICS 19.0 software (Materialise HQ Technologielaan, Leuven, Belgium). Cephalometric angular measurement (ANB) was used to evaluate the skeletal patterns (Angle class I-II-III). The angle between Sella-Nasion and point A (SNA) was also measured. Results: The average volume of the right maxillary sinus was 12.450 cm3, while the left was 12.586 cm3. No significant relationships between MSV, age, gender, and SNA values or between the left and the right sinus were found (p>0.05). Also, MSV did not show any meaningful differences in accordance with the various skeletal types (p>0.05). Discussion and Conclusion: Age, gender, malocclusion classes, and SNA values did not provide any substantial alteration on the volume of the maxillary sinus. The outcomes of this study may be beneficial in the assessment of the maxillary sinus when outlining operations such as orthodontic mini screw implantation and orthognathic surgery.
  • Küçük Resim
    Öğe
    Decreasing edema with platysma exercises following third molar extraction surgery: A randomized controlled trial
    (Amsterdam, the Netherlands : Elsevier, c2005-, 2025) Ölmez, Sevim Beyza; Yazıcı, Gökhan; Önder, Merve; Yazıcı, Melek Volkan; Kafa, Nihan; Evli, Cengiz; Özlü, Mert; Orhan, Kaan
    Background and purpose: The extraction of lower third molars is a routine procedure in dental practice however, it can lead to complications such as pain, edema and trismus. The aim of this study is to investigate the effects of platysma exercises applied after lower third molar tooth extraction on edema, while observing the differences in pain and trismus. Materials and methods: This randomized controlled trial was conducted at the Faculty of Dentistry, Ankara University. Thirty-one participants, aged 18-40, requiring impacted lower third molar extraction were randomly assigned to an intervention group following surgery (receiving platysma exercises and pharmacological treatment) or a control group (receiving pharmacological treatment only). Postoperative outcomes, including edema, pain, and trismus, were evaluated at four time points: preoperatively, and on postoperative days 1, 3 and 7. Edema was assessed via standardized facial measurements, pain using a visual analog scale, and trismus by measuring maximum inter-incisal distance. Results: The intervention group exhibited a significant reduction in edema compared to the control group by the seventh postoperative day (p < 0.05). No significant differences were observed in trismus or pain levels between the groups, although a trend towards lower pain scores was noted in the intervention group. Conclusion: Platysma exercises effectively reduce postoperative facial edema without exacerbating pain or trismus. This simple, cost-effective approach can be considered a valuable adjunct in the postoperative management of lower third molar extractions msö.
  • [ X ]
    Öğe
    Detection of periodontal bone loss patterns and furcation defects from panoramic radiographs using deep learning algorithm: a retrospective study
    (Bmc, 2024) Kurt-Bayrakdar, Sevda; Bayrakdar, İbrahim Şevki; Yavuz, Muhammet Burak; Salih, Nichal; Çelik, Özer; Köse, Oğuz; Uzun Saylan, Bilge Cansu; Kuleli, Batuhan; Jogtap, Rohan; Orhan, Kaan
    BackgroundThis retrospective study aimed to develop a deep learning algorithm for the interpretation of panoramic radiographs and to examine the performance of this algorithm in the detection of periodontal bone losses and bone loss patterns.MethodsA total of 1121 panoramic radiographs were used in this study. Bone losses in the maxilla and mandibula (total alveolar bone loss) (n = 2251), interdental bone losses (n = 25303), and furcation defects (n = 2815) were labeled using the segmentation method. In addition, interdental bone losses were divided into horizontal (n = 21839) and vertical (n = 3464) bone losses according to the defect patterns. A Convolutional Neural Network (CNN)-based artificial intelligence (AI) system was developed using U-Net architecture. The performance of the deep learning algorithm was statistically evaluated by the confusion matrix and ROC curve analysis.ResultsThe system showed the highest diagnostic performance in the detection of total alveolar bone losses (AUC = 0.951) and the lowest in the detection of vertical bone losses (AUC = 0.733). The sensitivity, precision, F1 score, accuracy, and AUC values were found as 1, 0.995, 0.997, 0.994, 0.951 for total alveolar bone loss; found as 0.947, 0.939, 0.943, 0.892, 0.910 for horizontal bone losses; found as 0.558, 0.846, 0.673, 0.506, 0.733 for vertical bone losses and found as 0.892, 0.933, 0.912, 0.837, 0.868 for furcation defects (respectively).ConclusionsAI systems offer promising results in determining periodontal bone loss patterns and furcation defects from dental radiographs. This suggests that CNN algorithms can also be used to provide more detailed information such as automatic determination of periodontal disease severity and treatment planning in various dental radiographs.
  • Küçük Resim
    Öğe
    A potential novel technique for measurement of pulp volume on periapical radiography: A pilot study
    (Wiley, 2024) Şatır, Samed; Özel, Selale; Orhan, Kaan
    Pulp volume can be assessed during dental treatment. Three-dimensional imaging techniques are not routinely used for this purpose because of high radiation doses. This study aimed to develop a novel method to measure pulp volume using periapical radiography. In this study, cone-beam computed tomography (CBCT) was used as a reference method. Periapical radiography and CBCTs obtained from the same patients (n = 32) were recorded. Pulp volume was determined by observing the density differences between the pulp and peripheral structures using ImageJ. A method of graph and volume calculation was developed for each tooth. The Shapiro-Wilk test and Mann-Whitney U test were used to show normality and non-normal distributions. The Bland-Altman plot was used to show the scattering of the mean versus difference values of the measurements of the two methods used to calculate the pulp volume. Normality was evaluated using the Shapiro-Wilk test. CBCT measurements are normally distributed (p = 0.307), while ImageJ is not normally distributed (p = 0.027). Therefore, the mean difference between the two groups was analyzed using the nonparametric Mann-Whitney U test. There was a statistically significant difference between the CBCT and ImageJ measurements (p = 0.01). According to Spearman's correlation analysis, the results obtained from the novel method were moderately correlated with those obtained from the reference method (r = 0.444). The results of this study indicated that a novel method-based Java software can be used to calculate pulp volume using low-dose radiation containing periapical radiography.