Diş Hekimliği Fakültesi / Faculty of Dentistry

Permanent URI for this collectionhttps://hdl.handle.net/11727/2120

Browse

Filters

Settings

Search Results

Now showing 1 - 10 of 276
  • No Thumbnail Available
    Item
    Effect of the COVID-19 Pandemic on Anxiety in Patients with Masticatory Muscle Pain
    (2023) Arifagaoglu, Ozge; Secgin, Cansu Koseoglu; Yuzugullu, Bulem; 0000-0001-9816-2486; 34702584; GRR-7726-2022
    Statement of problem. Although psychological disorders have been established as one of the etiological factors for temporomandibular disorders, anxiety levels in individuals with masticatory muscle pain before and during the coronavirus 2019 (COVID-19) pandemic have not previously been compared.Purpose. The purpose of this clinical study was to evaluate anxiety levels in patients with masticatory muscle pain at times before and during the COVID-19 pandemic.Material and methods. Eighty patients (18 to 68 years) with masticatory muscle pain were included in the study. All participants had completed the Generalized Anxiety Disorder 7 questionnaire (GAD-7) before the first COVID-19 infection had been reported in Turkey. After the onset of the COVID-19 pandemic, all participants were contacted by telephone to repeat the GAD-7 to evaluate changes in their psychology during the first lockdown. However, 18 of the 80 patients were unreachable. A statistical analysis was performed by using the Mann-Whitney U test. Proportion comparisons between sociodemographic characteristics and GAD-7 levels were performed by using the Fisher exact test (a=.05).Results. Forty-eight (60%) of the study population were women, and 32 (40%) were men, with a mean age & PLUSMN;standard deviation of 36.63 & PLUSMN;13.85 years. Both before and during the pandemic, GAD-7 scores were statistically similar as was each demographic parameter, including sex, educational status, and occupational status (P>.05). Also, no significant correlation was recorded between age and GAD-7 global scores obtained before and during the pandemic (r=-0.098 and r=-0.052, respectively, P>.05). However, during-pandemic GAD-7 scores were statistically higher than before-pandemic GAD-7 scores (P<.001).Conclusions. Demographic parameters had no connection with anxiety levels in patients with masticatory muscle pain before and during the COVID-19 pandemic. However, the COVID-19 pandemic anxiety levels in the participants were higher than the levels before the pandemic. (J Prosthet Dent 2023;130:74-9)
  • No Thumbnail Available
    Item
    Comment on: Intensity Modulated Radiotherapy in Head and Neck Cancer: Initial Experience of the First Treated Cases from North-East India
    (2023) Topkan, Erkan; Somay, Efsun; Selek, Ugur; 0000-0001-8251-6913; 38187854; AAG-2213-2021; O-5474-2014
  • No Thumbnail Available
    Item
    In reply to Cheng et al. (DOI: 10.1186/s13550-023-00965-8)
    (2023) Somay, Efsun; Topkan, Erkan; Pehlivan, Berrin; Selek, Ugur; 0000-0001-8251-6913; 0000-0001-8120-7123; 37589948; AAG-2213-2021
  • No Thumbnail Available
    Item
  • No Thumbnail Available
    Item
    Comment on: Quality of Life After Segmental Mandibulectomy and Free Flap for Mandibular Osteonecrosis: Systematic Review
    (2023) Topkan, Erkan; Somay, Efsun; 0000-0001-8251-6913; 37459741; AAG-2213-2021
  • No Thumbnail Available
    Item
    The Effects of Vaccines on the Sequelae Rates of Recurrent Infections and the Severity of Pulmonary COVID-19 Infection by Imaging
    (2023) Bahadir, Suzan; Kabacaoglu, Ebru; Memis, Kemal Bugra; Hasan, Hasan Ilksen; Aydin, Sonay; 37631888
    Although vaccines have been shown to reduce the number of COVID-19 infection cases significantly, vaccine-related reactions, long COVID-19 syndrome, and COVID-19 infection following vaccination continue to be a burden on healthcare services and warrant further scientific research. The purpose of this study was to research the severity of pulmonary COVID-19 infection following vaccination and the sequelae rates of recurrent infections in vaccinated cases by imaging. Patients who underwent follow-up CTs at 1 month, 3 months, and 6 months in our hospital with a diagnosis of COVID-19 were scanned retrospectively. Furthermore, all essential information was gathered from patients' immunization records. The major findings of our study were: (1) sequelae were frequently observed in unvaccinated cases; (2) the correlation between vaccination status and the severity of sequelae was significant; (3) there was not any significant relationship between the vaccine type and the severity of sequelae; and (4) hematocrit, hemoglobin, and lymphocyte parameters may be used as predictors of sequelae rates. COVID-19 infection, although reduced in prevalence following the development of vaccines, still remains a public health concern because of reinfection. Vaccination not only appears to protect against primary infection, but also seems to reduce reinfection and sequalae rates following reinfection.
  • No Thumbnail Available
    Item
    Machine Learning Based Orthodontic Treatment Planning for Mixed Dentition Borderline Cases Suffering from Moderate to Severe Crowding: An Experimental Research Study
    (2023) Senirkentli, G. Burcu; Bingol, Sinem Ince; Unal, Metehan; Bostanci, Erkan; Guzel, Mehmet Serdar; Acici, Koray; 36970921
    BACKGROUND: Pedodontists and general practitioners may need support in planning the early orthodontic treatment of patients with mixed dentition, especially in borderline cases. The use of machine learning algorithms is required to be able to consistently make treatment decisions for such cases. OBJECTIVE: This study aimed to use machine learning algorithms to facilitate the process of deciding whether to choose serial extraction or expansion of maxillary and mandibular dental arches for early treatment of borderline patients suffering from moderate to severe crowding. METHODS: The dataset of 116 patients who were previously treated by senior orthodontists and divided into two groups according to their treatment modalities were examined. Machine Learning algorithms including Multilayer Perceptron, Linear Logistic Regression, k-nearest Neighbors, Naive Bayes, and Random Forest were trained on this dataset. Several metrics were used for the evaluation of accuracy, precision, recall, and kappa statistic. RESULTS: The most important 12 features were determined with the feature selection algorithm. While all algorithms achieved over 90% accuracy, Random Forest yielded 95% accuracy, with high reliability values (kappa = 0.90). CONCLUSION: The employment of machine learning methods for the treatment decision with or without extraction in the early treatment of patients in the mixed dentition can be particularly useful for pedodontists and general practitioners.
  • No Thumbnail Available
    Item
    Influence of the Implant Scan Body Modifications on Trueness of Digital Impressions
    (2023) Uzel, Sema Merve; Guncu, Mustafa Baris; Aktas, Guliz; Arikan, Hale; Reiss, Natalia; Turkyilmaz, Ilser; 37799878; JXY-2357-2024
    Background/purpose: Effects of implant angulation on digital impression accuracy remain controversial. The purpose of this study was to assess the relationship between the alteration of implant scan bodies and the trueness of digital impressions. Materials and methods: A maxillary typodont without the right premolars and first molar was scanned with a laboratory scanner and saved as a standard triangular language (STL) file. A model from the STL file was fabricated with a 3-dimensional printer. Two implants were placed into the first premolar and first molar sites of the model, followed by the insertion of two scan bodies onto the implants. These scan bodies were divided into four test groups, based on the surface modifications. A digital impression of each typodont was made with three different intraoral scanners. An abutment was digitally seated on each implant. 120 STL files (30 for each group) of the typodont with two implants and two corresponding abutments were used for statistical analysis. Results: A total of 240 values (two implants for each typodont) were obtained after each sample (4 groups) was scanned 10 times by utilizing three intraoral scanners. The overall linear and angular discrepancies were analyzed. Group 1 showed the lowest linear discrepancy of 14.9 +/- 5.4 mm while Group 4 reported the highest linear discrepancy of 137.5 +/- 41.7 mm, yielding a statistical significance (P < 0.05). Conclusion: It has been concluded that the more adjustments made to the scan bodies, the greater the linear and angular deviations occur, compromising the trueness of the digital implant impression. (c) 2023 Association for Dental Sciences of the Republic of China. Publishing services by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons. org/licenses/by-nc-nd/4.0/).
  • No Thumbnail Available
    Item
    Systemic Inflammation Score for Predicting Radiation-Induced Trismus and Osteoradionecrosis of the Jaw Rates in Locally Advanced Nasopharyngeal Carcinoma Patients
    (2023) Somay, Efsun; Sezen, Duygu; Selek, Ugur; Besen, Ali Ayberk; Mertsoylu, Huseyin; Topkan, Erkan; 0000-0001-8120-7123; AAG-2213-2021
    We sought to determine the predictive value of the systemic inflammation score (SIS) for radiation-induced trismus (RIT) and osteora-dionecrosis of the jaw (ORNJ) in locally advanced nasopharyngeal carcinoma (LA-NPC) patients treated with concurrent chemoradio-therapy (C-CRT). LA-NPC patients (n= 188) who underwent C-CRT and pre-and post-C-CRT oral examinations from August 2010 to January 2022 were included. The three-tiered SIS groups were created using the serum albumin and lymphocyte-to-monocyte ratio (LMR) measures obtained on the first day of C-CRT: SIS-0: Albumin >= 40 g/dL and LMR >= 4.44); SIS-1: Albumin < 40 g/dL and LMR < 4.44 or albumin >= 0 g/dL and LMR >= 4.44; and SIS-2: Albumin < 40 g/dL and LMR <4.44. The primary objective was to ascertain whether there were irrefutable associations between pretreatment SIS groups and the respective post-C-CRT RIT and ORNJ rates. RIT and ORNJ were diagnosed in 33 (17.6%) and 21 (11.1%) patients, respectively. There were 12 (32.4%), 13 (12.7%), and 18 (45.0%) cases diagnosed with RIT in the respective SIS-0, SIS-1, and SIS-2 groups (p< 0.001). Similarly, there were 1 (2.7%), 11 (9.9%), and 9 (22.5%) cases with ORNJ diagnoses in the corresponding SIS groups (p< 0.001). The multivariate analysis's findings revealed that the SIS grouping was an independent predictor of RIT (p< 0.001) and ORNJ incidence rates (p< 0.001). Our study's findings indicate that the novel pretreatment SIS grouping is a dependable biomarker-based system, which can accurately predict the rates of RIT and ORNJ in LA-NPC patients who receive definitive C-CRT.
  • No Thumbnail Available
    Item
    In Reply to Bertl et al.
    (2023) Somay, Efsun; Topkan, Erkan; Selek, Ugur; 0000-0001-8087-3140; 0000-0001-8120-7123; 0000-0001-8251-6913; O-5474-2014; AAG-2213-2021