Diş Hekimliği Fakültesi Koleksiyonu

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

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  • 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
    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.
  • Article
    Youtube and Root Canal Irrigation Activation: Are We Learning Quality Content
    (Wiley, 2025-11-25) Kilic, Yagmur; Tosun, Samet; Karataslioglu, Emrah
    This study aimed to evaluate the quality, reliability, and educational value of YouTube videos related to irrigation activation in endodontics. A total of 70 videos were analyzedusing the keyword 'irrigation activation methods'. Videos were assessed using JAMA, DISCERN and GQS. Additional popularity metrics were recorded. Statistical analyses were performed using the Kruskal-Wallis and Spearman correlation tests (p < 0.05). The majority of videos demonstrated low content quality (68.6%, GQS <= 2) and weak accuracy (47%, JAMA <= 1). Longer videos were associated with higher quality scores, while popularity metrics did not show significant correlations with educational quality. A weak but statistically significant correlation was found between DISCERN and II (r = 0.261, p = 0.029). Positive correlations among JAMA, DISCERN, and GQS confirmed the consistency of these scales. Overall, the findings indicate that the quality of YouTube videos on irrigation activation varies considerably. While video length may enhance content quality by allowing for more comprehensive explanations, popularity indicators are not reliable measures of educational accuracy.
  • Article
    Chronological Age Estimation by Measuring Pulp Chamber Volume in Teeth with Open Apices: A CBCT Analysis
    (Wroclaw Medical Univ, 2025-06-09) Kolcakoglu, Kevser; Amuk, Mehmet; Kizilci, Esra; Saribal, Gamze Sirin; Askaroglu, Ozlem; Korkut, Damla Izel
    Background. In the domain of forensic medicine, the estimation of age is a critical aspect of human identification, including that of adolescents. Objectives. The study aimed to examine the relationship between the pulp chamber volume of teeth with open apices and the chronological age of adolescents from theTurkish population. Material and methods. The study was conducted by examining cone beam computed tomography (CBCT) images of 51 pediatric patients who visited the Department of Pedodontics for routine dental examinations. All CBCT images were captured using a NewTom 5G unit (QR, Verona, Italy). The measurements were recorded in DICOM format using the SimPlant Pro 16 software (Materialise NV, Leuven, Belgium). Results. A moderate and positive significant correlation was observed between the age of the premolar group patients and impacted pulp volume (IMPV). The increase in volume measurements of the patients in the premolar group indicates that their age is significantly higher (r = 0.561, p = 0.030). A moderate and negative significant relationship was identified between the age of the premolar group patients and erupted pulp volume (EPV). The increase in the EPV measurements of the patients in the premolar group indicates that their age is significantly lower (r = -0.491, p = 0.041). Conclusions.The pulp chamber volume of premolars, which narrows due to secondary dentin deposition, served as the physical marker for chronological age estimation of adolescents in the Turkish population. The measurement of the mature and immature premolar pulp volume could be used for age estimation, particularly in the context of CBCT analysis.
  • Article
    Preoperative Dental Anxiety Across Menstrual Cycle Phases in Women Undergoing Root Canal Treatment
    (Nature Portfolio, 2025-10-10) Oksuzer, Merve Coban; Hatipoglu, Omer; Cikman, Ahter Sanal; Hatipoglu, Fatma Pertek; Pertek Hatipoğlu, Fatma; Çoban Öksüzer, Merve; Şanal Çıkman, Ahter
    Objective Dental anxiety is a significant barrier for patients seeking oral healthcare and can be influenced by biological, psychological, and demographic factors. This study aimed to investigate how different phases of the menstrual cycle affect dental anxiety in women immediately before undergoing root canal treatment, using both psychometric scales and physiological indicators. Gender-based comparisons were also included for contextual understanding. Methods An analytical cross-sectional study was conducted with 259 participants (aged 18-50 years, 191 women) requiring root canal treatment. Women were categorized into menstrual, proliferative, and secretory phases based on self-reported cycle data. The Severity of anxiety were assessed using the Modified Dental Anxiety Scale (MDAS) and the State-Trait Anxiety Inventory (STAI), alongside physiological measures such as blood pressure and oxygen saturation. In addition to Kruskal-Wallis and Chi-squared tests, multiple linear regression analyses were performed to adjust for potential confounders, including age, education, preoperative pain, and physiological parameters. Results Women in the menstrual and secretory phases reported significantly higher MDAS and STAI-T scores compared to men (p < 0.001). Regarding the STAI-S, scores in all three menstrual phases were significantly higher than those of men (p = 0.001). Multiple regression analysis confirmed that these associations remained significant after adjustment for potential confounders, while age, education, preoperative pain, and physiological parameters showed no significant effects. Physiological parameters, including blood pressure and oxygen saturation, showed no significant variations across groups (p > 0.05). A strong positive correlation was observed between MDAS and both STAI-S and STAI-T scores. Conclusion Women in the menstrual and secretory phases reported higher levels of dental anxiety compared to men, but no significant differences were observed in physiological markers. These findings suggest that estrogen reduction during certain phases of the menstrual cycle may increase anxiety and highlight the potential clinical value of individualized anxiety management during these phases.
  • Article
    Evaluation of Dental Fear and Dental Caries in Pediatric Patients with Molar Incisor Hypomineralization
    (Quintessence Publishing Co inc, 2025) Ipek, Hilal Ozbey; Bolaca, Arif
    Purpose: Children with molar incisor hypomineralization (MIH) often experience dental hypersensitivity and discomfort during dental procedures. These factors can contribute to the dental fear and anxiety (DFA) in children with MIH. The aim of the study was to examine the relationship between MIH, dental caries, and fear. Materials and Methods: In total, 122 children (MIH group=60; Control group=62) aged 8-12 were included in the study and examined. Caries and teeth affected by MIH were recorded. After the examination, The Children's Fear Survey Schedule-Dental Subscale (CFSS-DS) was administered to each child. Results: The mean DMFT/dmft index, total CFSS-DS score, and presence of dental fear were statistically significantly higher in the MIH group than control group. The number of children with severe MIH was statistically significantly greater than those with mild MIH. No statistically significant differences were observed between children with mild and severe MIH in terms of mean DMFT/dmft index, CFSS-DS total score, or presence of fear. Conclusion: A relationship was observed between MIH and DFA. Similarly, caries experience of children with MIH was statistically significantly higher than those without MIH.