Repository logoGCRIS

Diş Hekimliği Fakültesi Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/11499/45989

Browse

Filters

2014 - 2019892020 - 2026204

Settings

Search Results

Now showing 1 - 10 of 293
  • Article
  • Article
    Analysis of Radiological Changes in Medication-Related Osteonecrosis of the Jaw (Mronj) by Cone-Beam Computed Tomography
    (Galenos Publ House, 2026-03-24) Uzun, Ezgi; Acikgoz, Gozde; Apaydin, Burak Kerem
    Objective: The aim of this study was to evaluate the radiological findings in the jaw bones by examining the cone beam computed tomography (CBCT) images of patients diagnosed with medication-related osteonecrosis of the jaw (MRONJ) and to contribute to the diagnosis and management of MRONJ. Materials and Methods: In this study, 50 CBCT imaging data of patients (34 female, 16 male, mean age=70,44 +/- 11,09) with MRONJ were evaluated retrospectively. Radiological findings on CBCT images were recorded as osteolysis, focal or generalized bone sclerosis, sequestra, unhealed extraction socket, periosteal reaction and pathological fracture. Descriptive analyses were used to evaluate the data. Results: Among the 50 patients included in the study, 44% had osteoporosis,12% had multiple myeloma, and 44% had malignancies. The most significant changes were observed in the posterior mandible (57.4%), and the most common findings were osteolysis (73.8%) and sequestrum (50.8%). In some cases, less frequent findings such as non-healed extraction socket (14.8%), periosteal reaction (6.6%), and pathological fracture (3.3%) were observed. Additionally, no radiographic changes were observed in the CBCT images of 4 patients (6.6%). Conclusion: In our study, the CBCT images of the patients revealed the presence of various findings associated with MRONJ and demonstrated that there was no specific radiological feature common to all patients. Therefore, it was concluded that each patient should be individually evaluated in the diagnosis and management of MRONJ.
  • Article
    Effect of Food-Simulating Liquids on the Hydrolytic Behavior of Resin Matrix Ceramics
    (Quintessence Publishing Co Inc, 2024-12) Celik, Ersan; Sahin, Sezgi Cinel
    Purpose: To evaluate the hydrolytic behavior of different CAD/CAM resin matrix ceramics (RMCs) in different food-simulating liquids (FSLs). Materials and Methods: Five different CAD/CAM blocks, one from a polymer-infiltrated ceramic network (PICNs; Vita Enamic [EN]) and four from resin-based composites (RBCs; Lava Ultimate [UL], Cerasmart [CER], Brilliant Crios [BR], and Block HC [HC]) were selected. In total, 40 specimens were prepared for each material, and they were randomly distributed to each FSL. The specimens were initially kept in a desiccator, then placed in 5 mL of liquid at 37 degrees C +/- 1 degrees C for 30 days, and weighed at various time intervals. Percentage mass change (Mg%), sorption (SP), percentage of liquid absorbed (SP%), solubility (SL), percentage solubility (SL%), and percentage of liquid absorbed by the polymer matrix (SPpm) were evaluated. Significance was evaluated at P < .05. Results: Hydrolytic behavior of the materials showed statistical differences in terms of SP, SL, SP%, and SL% values depending on the liquid environment (P= .001). The highest SP values were obtained from the HC material in saliva, and the lowest values were obtained from the BR in ethanol. The highest SL values were obtained from the CER and EN in heptane, and the lowest values were obtained from the HC in ethanol. However, all results detected in the study remained below the ISO threshold values. Conclusions: All materials tested exhibited clinically acceptable hydrolytic behavior over the time tested. In addition to material content, many factors can affect the hydrolytic behavior.
  • Article
    Determining the Optimal Irrigation Activation or Agitation Techniques for Postoperative Pain Control: A Network Meta-Regression of Clinical Trials
    (Elsevier Sci Ltd, 2026-12) Hatipoglu, Fatma Pertek; Oksuzer, Merve Coban; Karobari, Mohmed Isaqali; Hatipoglu, Omer
    Postoperative pain after root canal treatment remains a frequent clinical problem despite advances in instruments and irrigants. This Bayesian systematic review and network meta-regression compared seven irrigation activation/agitation techniques-positive pressure, manual dynamic, sonic, ultrasonic, multisonic, negativepressure and laser-activated irrigation-with respect to Day-1 postoperative pain. Electronic searches of PubMed, Cochrane Library, Scopus and Web of Science were conducted up to 10 December 2024; 57 trials (2595 patients) were included qualitatively and 31 contributed to the quantitative network. Pain scores were rescaled to a 0-10 scale and analysed as mean differences, with symptomatic status modelled as an ordinal covariate and treatment rankings summarised using SUCRA values. Laser-activated irrigation (LAI) produced the lowest Day-1 pain and showed a clinically important advantage over manual dynamic irrigation (MDI) exceeding the 1.0-point minimal clinically important difference, while also outperforming positive pressure and ultrasonic irrigation with smaller, statistically but not clinically important effects. Multisonic and negative-pressure irrigation also ranked favourably, whereas MDI consistently showed the highest pain scores and the lowest SUCRA values. Baseline symptomatic status was a strong effect modifier, with symptomatic teeth experiencing substantially higher pain irrespective of technique. Overall CINeMA confidence was low to very low for most contrasts, indicating that these findings should be interpreted cautiously and highlighting the need for larger, better-designed trials with standardised pain-assessment protocols.
  • Article
    Dentinal Tubule Penetration of Ah Plus, Mta Fillapex, and Bioroot Flow: A Confocal Laser Scanning Microscopy Study
    (BMC, 2025-11-25) Tosun, Samet; Karataslioglu, Emrah; Culha, Emre; Cetinkaya, Oguz Burhan; Uzun, Ismail
    Aim This in vitro study aimed to compare the dentinal tubule penetration of a conventional epoxy resin-based sealer (AH Plus) and two bioceramic-based sealers (MTA Fillapex and BioRoot Flow). Methodology Thirty extracted human single-rooted premolars were randomly divided into three groups (n = 10): AH Plus, MTA Fillapex, and BioRoot Flow. Root canals were instrumented using the ProTaper Universal rotary file system. Sealers were labeled with 0.1% Rhodamine Bprior to obturated with the single-cone technique. Roots sectioned at coronal, middle, and apical levels into 1 mm thick slices. The sealer penetration area (mm(2)) and maximum penetration depth (mm) were analyzed using confocal laser scanning microscopy (CLSM). Data were statistically evaluated using one-way ANOVA and LSD post hoc tests (p < 0.05). Result AH Plus demonstrated statistically significantly lower penetration in both penetration area and maximum penetration depth compared to both MTA Fillapex and BioRoot Flow (p < 0.05). Among the bioceramic-based sealers, MTA Fillapex exhibited the highest penetration values in the coronal and middle regions. Furthermore, a pronounced decrease in both penetration area and depth was observed from the coronal to the apical regions in all groups (p < 0.05). Conclusion MTA Fillapex and BioRoot Flow exhibit a superior performance in the coronal and middle regions compared to AH Plus. While the differences in the apical region were less distinct, a consistent decrease in penetration values from coronal to apical was observed across all materials. These findings indicate that material composition and root canal region play critical roles in dentinal tubule penetration.
  • Article
    Deep Learning-Based Prediction of Buccal, Middle and Palatal Orientations of Impacted Maxillary Canines Using Panoramic Radiographs: A Pilot Study
    (BMC, 2025-11-26) Cokakoglu, Serpil; Tosun, Samet; Ozic, Muhammet Usame
    ObjectiveThe aim of this pilot study was to compare the performance of deep learning models in detecting and classifying the buccal, middle, and palatal orientations of impacted maxillary canines using panoramic radiographs.MethodsA total of 200 panoramic radiographs were collected from patients' records with a history of unilateral and/or bilateral impacted maxillary canines. The images were preprocessed for resizing, bit depth, and file format. Data augmentation was performed by horizontal flipping to increase the total dataset size from 200 to 400 images. The images were randomly divided into three subsets as 80% training, 10% validation and 10% testing. The annotation was made by two experienced dentists. The dataset was trained and tested using two state-of-the-art deep learning models based on the YOLO11x and YOLO12x architectures. Model performance was evaluated using standard metrics, including precision, recall, F1-score, mAP@0.5, and mAP@0.5:0.95. In addition, confusion matrices and visual predictions from the test images were analyzed to assess class-specific performance and localization accuracy.ResultsThe YOLO11x model demonstrated superior performance compared to the YOLO12x model. During the training phase, the mAP@0.5 values were 0.723 and 0.639, respectively, while in the testing phase, they were 0.468 and 0.435, respectively. While both models achieved accurate localization in a limited number of test samples, the YOLO12x model exhibited a higher rate of false negatives. Visual inspection revealed that palatal orientations were classified more reliably, whereas classification performance was lower for buccal orientations and particularly limited for middle orientations.ConclusionThis pilot study presented certain challenges in accurately classifying the spatial orientation of impacted maxillary canines due to methodological limitations (e.g., small sample size, preliminary nature). While satisfactory performance was achieved for palatal orientations, reduced classification accuracy and frequent misclassifications were observed for buccal and middle orientations. Given the inherent limitations of panoramic imaging, future studies incorporating larger datasets and 3D imaging techniques would be warranted to improve classification accuracy and clinical applicability.
  • Article
    Evaluation of the Accuracy of Detecting C-Shaped Canals in Mandibular Second Molars Identified by Cone-Beam Computed Tomography on Panoramic Radiographs Using Artificial Intelligence Algorithms Developed With Deep Learning Methods
    (Springer, 2026-01-09) Uysal, O.; Polat, M.; Akgul, H. M.
    Objective: The aim of this study is to detect the C-shaped canal formation in mandibular second molars on panoramic radiographs based on different Deep Convolutional Neural Networks (DCNNs) trained using panoramic radiographs. Method: This study includes images of 592 patients, consisting of digital panoramic radiographs and cone-beam computed tomography (CBCT) scans of patients with at least one mandibular second molar, archived in the Department of Oral, Dental, and Maxillofacial Radiology, Faculty of Dentistry, Pamukkale University. To confirm the presence of a C-shaped canal, CBCT images were analyzed and set as the gold standard. From 289 panoramic radiographs with C-shaped canals, a total of 422 mandibular second molars were labeled, and an equal number of 422 mandibular second molars were labeled from 303 panoramic radiographs without C-shaped canals, resulting in a total dataset of 844 labeled panoramic radiographs. To detect C-shaped canals in the 844 panoramic images comprising our dataset, the detection accuracy performance of 11 different deep learning models was investigated. These models were applied to the preprocessed and non-preprocessed panoramic images of mandibular second molars divided into two separate groups as “crown-root” and “root”. For the first time in the literature, to the best of our knowledge, model prediction results were fused using majority voting for the detection of C-shaped canals in mandibular second molars. Then, corresponding performance measurements were evaluated in terms of accuracy, precision, recall, specificity and confusion matrices. Results: For the crown-root dataset, the highest average accuracy metrics for preprocessed and non-preprocessed images were obtained as 0.886 (88.6%) and 0.885 (88.5%), respectively. For the root dataset, the highest average accuracy values for preprocessed and non-preprocessed images were 0.887 (88.7%) and 0.892 (89.2%), respectively. The highest accuracy performance metrics, on the other hand, obtained by the fusion of different DCNNs decisions with the application of majority voting, yielded as 0.902 (90.2%) and 0.897 (89.7%) for crown-root and root dataset groups, respectively. Conclusion: High-performance values were achieved through the use of combined deep learning architectures. Obtained results show that the proposed method is significant for the detection of C-shaped canals in terms of the success of endodontic treatments, and use of deep learning models are sufficiently capable of assisting clinicians. © The Author(s) under exclusive licence to Japanese Society for Oral and Maxillofacial Radiology 2026.
  • Article
    Investigation of Shear Bond Strength of Different Adhesive Agents to Demineralized Enamel with or Without Resin Infiltration
    (Wolters Kluwer Medknow Publications, 2023-01) Bilgic, Rabia; Yapar, Merve Iscan; Celik, Neslihan; Akgul, Nilgun
    Objectives: This study aimed to investigate the bond strength of adhesive agents to enamel surfaces with and without resin infiltration. Materials and Methods: The crowns and roots of 198 human incisors were separated from each other and placed in an acrylic mold. The teeth were ground until the guide grooves created with the slotted bur disappeared. Then, it was thrown into the demineralization solution and artificial caries lesions were created. Teeth were randomly divided into two main groups, and each main group was divided into five subgroups. And also the control group was determined. The materials and composite were applied to demineralized enamel. For the shear bond analysis, a universal testing machine was used. Statistical analysis of the data was evaluated by one-way ANOVA test and independent t-test. Results: The result showed that there was no statistical difference between no resin infiltrant adhesive bonding agent groups (P < 0.05) and no difference between resin-treated groups and untreated groups of each bonding agent (P < 0.05). Furthermore, there is no difference between resin infiltrant pretreated adhesive bonding agent groups (P < 0.05). Conclusion: The use of different adhesive systems during restorative procedures after resin infiltration did not affect the shear bond strength.
  • Article
    The Effects of Virtual Reality and External Cooling and Vibration (Buzzy®) on Dental Anxiety and Pain During Inferior Alveolar Nerve Block in Children: A Randomized Clinical Trial
    (MRE Press, 2026) Atik, Aybuke Ipek; Bolaca, Arif
    Background: To compare the effectiveness of virtual reality (VR) and external cooling and vibration distraction techniques on dental anxiety and pain in children during inferior alveolar nerve block (IANB). Methods: In this randomized controlled parallel arm trial, 120 children aged 6 to 12 years requiring IANB were included and randomly assigned into one of three groups: Group I: VR eyeglasses, Group II: Buzzy® device and Group III: Control (conventional behavior management technique). Dental anxiety levels were measured by the heart rate (HR) and oxygen saturation level (SpO<inf>2</inf> ) before, during, and after the IANB procedure. Pain perception was assessed using the Face, Legs, Activity, Cry, Consolability (FLACC) Scale, Wong Baker Faces Scale (WBS) and Visual Analog Scale (VAS). Results: A significant increase in HR was observed in all groups during the IANB procedure (p < 0.05). Group II (Buzzy® device) showed the lowest FLACC scores, followed by Group I (VR eyeglasses) and Group III (Control), with statistically significant differences among groups (p < 0.05). However, no significant differences were found between the groups in terms of WBS and VAS scores (p > 0.05). Conclusions: Although neither VR eyeglasses nor the Buzzy® device significantly reduced physiological indicators of dental anxiety during IANB, both techniques were effective in lowering pain levels compared to conventional behavior management techniques. Clinical Trial Registration: The study protocol was retrospectively registered at www.clinicaltrials.gov (ID: NCT06788301). © 2026 The Author(s). Published by MRE Press.
  • Article
    Biochemical Saliva Analysis and Caries Experience in Children with Black Tooth Stain
    (Quintessence Publishing Co. Inc., 2025) Topcu, Ayse Ipek Gun; Erdogan, Yildirim; Elci, Sukru Gokhan
    Purpose: Black tooth stain (BTS) is an extrinsic discolouration that typically appears along the cervical third of the buccal and/or lingual surfaces of both primary and permanent teeth, predominantly in prepubertal individuals. This study aimed to investigate the biochemical properties of saliva and assess caries experience in children with and without BTS during the mixed-dentition period. Materials and Methods: A total of 120 children aged 7-12 years were enrolled and divided equally into BTS(+) and BTS(-) groups. Comprehensive dental examinations were conducted using dft/DMFT indices and International Caries Detection and Assessment System (ICDAS) II criteria to evaluate caries status and the presence of BTS. Unstimulated whole saliva samples were collected and analysed for flow rate, pH, buffering capacity, and ion concentrations (Cu, Fe, P, Ca, Mg, Zn, and Mn) using an inductively coupled plasma mass spectrometry (ICP-MS) method. The obtained data were analysed and compared between the groups. Results: The BTS(+) group demonstrated significantly lower dft scores and fewer decayed primary teeth compared to the BTS(-) group (P <0.05). A higher proportion of caries-free teeth was also observed in the BTS(+) group. Additionally, a statistically significant difference was found between the groups in terms of ICDAS II caries classification (P = 0.048). Salivary analysis showed significantly elevated manganese (Mn) and zinc (Zn) levels in the BTS(+) group, while no significant differences were found in pH, buffering capacity, flow rate, or other salivary ions. No significant correlations were observed between the severity of BTS and age, salivary parameters, or caries indices. Conclusion: Children with black tooth stain exhibited a lower caries experience, which may be associated with the anticariogenic properties of higher salivary Mn and Zn levels. Additionally, elevated Mn concentrations might play a role in the formation of BTS. © This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.