12 research outputs found
Bilateral bifid mandibular canal: a case report
The objective of this case report is to help clinicians identify bifid mandibular canals on panoramic radiographs and subsequently use the information in the modification of dental treatment planning. A 45-year old man was referred to the service of Oral Diagnosis and Radiology. Routine panoramic radiography, suggested the presence of bilateral bifid mandibular canals (BMC). Mandibular computed tomography revealed a clear view of bilateral mandibular canals. BMC can be detected on a panoramic radiograph
The prevalence of root dilacerations in a Turkish population
Objectives: The aim of this study was to determine the prevalence of root dilaceration in a Turkish dental patient population with respect to sexes and dental localization in relation between sex and this anomaly. Study Design: A retrospective study was performed using periapical radiography of 2,124 patients ranging in age from 15 to 65. All data (age, sex and systemic disease or syndrome) was obtained from the files. These patients were analyzed for root dilaceration. Descriptive characteristics of sexes, jaws, and dental localization were recorded. The Pearson chi-squared test was used. Results: Of 2,251 patients, 214 (9.5%) had root dilaceration. Root dilacerations were determined in 276 (4.3%) of 6386 teeth belong to 2251 patients. Anomalies were found in 9.8% of males compared with 9.3% of females. However, this difference was not statistically significant (p>0.05). Root dilacerations were similarly distributed between maxilla and mandible. The most frequently root dilacerated teeth were found to be mandibular third molars (12.8%), followed by maxillary third molars (7.4%), maxillary first molars (6.7%). Root dilaceration was not detected in maxillary central incisors, mandibular central incisors and mandibular lateral incisors. Conclusion: According to our results, root dilaceration is an uncommon developmental anomaly which mostly occurs in the posterior teeth that is not also possible to have trauma. The radiographic diagnosis of this anomaly is important before surgery and orthodontics treatment, but firstly endodontic treatment
Correlation between oral health-related quality of life (OHQoL) and oral disorders in a Turkish patient population
Objectives: The purpose of the present study is to determine the nature of the complaints that bring patients to our clinic and to what degree these complaints affect their quality of life (QoL). We also aimed to determine any associations between gender, education or harmful habits and each patient?s oral health-related quality of life (OHQoL). Methods: A total of 1090 patients, consisting of 651 females (59.7 %) and 439 males (40.3 %), were included in this study. Of these patients, 220 constituted healthy controls. Two patient-centered outcome measures, the 14 item OHIP-14 and the 16 item OHQoL-UK measures were used. Results: Most of the patients presented with toothache and caries (50.1 %), 11.2 % had suffered tooth loss and had denture needs, 9.2 % had periodontal problems, 1.8 % had temporomandibular joint (TMJ) disorders, 3.8 % had buried third molars, 2.4 % had orthodontic and aesthetic disorders, 1.3 % had suffered injury due to trauma, and 20.2 % came only for control checkups. OHQoL was best in the control group and the worst in patients who had suffered trauma. In addition, we noted correlations between gender, education and harmful habits, and that of the patient?s oral health-related quality of life. Conclusion: According to our results, OHQoL is associated with the oral complaints of patients. Furthermore, OHQoL may not only be associated with the oral health status of patients, but factors such as gender, education and harmful habits may also play a role
Boron removal from geothermal waters by electrocoagulation
Most of the geothermal waters in Turkey contain extremely high concentration of boron when they are used for irrigation. The use of geothermal waters for irrigation can results in excess amount deposition of boron in soil. On the other hand, a minimal boron concentration is required for irrigational waters. In this study, electrocoagulation (EC) was selected as a treatment process for the removal of boron from thermal waters obtained from Ihca-Erzurum in Turkey. Current density (CD), pH of solution and temperature of solution were selected as operational parameters. The results showed that boron removal efficiency increased from pH 4.0 to 8.0 and decreased at pH 10.0. Although boron removal efficiency was highest at pH 8.0, energy consumption was very high at this pH value compared to other pH intervals. Boron removal efficiency reached to 95% with increasing current density from 1.5 to 6.0 mA/cm(2), but energy consumption was also increased in this interval. At higher temperatures of solution, such as 313 and 333 K, boron removal efficiency increased. At optimum conditions, boron removal efficiency in geothermal water reached up to 95%. (c) 2007 Elsevier B.V. All rights reserved
Removal of divalent heavy metal ions from aqueous solutions by Dowex HCR-S synthetic resin
Ion exchange technology is currently the best way to remove heavy metals from water and wastewater. In this study, we investigated heavy metal ions as cadmium (Cd2+), nickel (Ni2+) and zinc (Zn2+) removal from aqueous solutions using synthetic resin. Batch experiments on the removal efficiency of heavy metal ions at under different conditions such as initial solution pH, stirring speeds, temperatures, initial concentrations and resin dosages of synthetic wastewater solutions were carried out. The maximal exchange levels attained were as follows: 99.76% Cd2+, 93.66% Ni2+ and 83.10% Zn2+ onto Dowex HCR-S synthetic resin at 293 K, 250 L-1 mg initial metal concentration, ion exchange time of 60 min, 400 rpm stirring speed, pH: 6.0 and 2 g resin dosage
REMOVAL OF CATIONIC DYE (BASIC RED 18) FROM AQUEOUS SOLUTION USING NATURAL TURKISH CLAY
In this study, the removal of a cationic dye, basic red 18, used in the textile industry with montmorillonite was investigated as a function of initial dye concentration, agitation speed, ionic strength, adsorbent dosage, pH and temperature. Adsorption process was attained to the equilibrium within 30 minutes. The adsorption capacity of basic red 18 increased with increasing ionic strength, initial dye concentration, pH, agitation speed, and temperature, but decreased with increasing adsorbent dosage. The experimental data were analyzed by Langmuir, Freundlich, Temkin, Elovich and Dubinin-Radushkevich isotherms, and it was found that the isotherm data were reasonably correlated by Freundlich isotherm. Pseudo-first order, pseudo-second order, Elovich kinetic equations and intraparticle diffusion model were used to examine the experimental data of different initial conditions. It was found that the pseudo-second order kinetic equation described the data of dye adsorption onto nnontmorillonite very well. Furthermore, for the removal of basic red 18, a semi-empirical model was established. Thermodynamic analysis was carried out for basic red 18 onto montmorillonite. It was found that the adsorption processes were endothermic in nature. The values of E-a, Delta H*, Delta S* and Delta G* at 293 K for basic red 18 adsorption on clay were calculated as 27.635 kJ mol(-1), 25.041kJ mol(-1), -0.090 kJ mal K-1 and 51.412 kJ mol(-1), respectively. The results indicated that montmorillonite could be employed as an alternative to commercial adsorbents in wastewater treatment for the removal of color and dyes
The effect of psychotrop drugs in bruxism ethiology and treatment: An overview of bruxism in the light of information
Evaluation of the snowing-like ultrasonographic features of intraosseous jaw pathologies
Aim of the study: Ultrasonographic examination of intraosseous jaw pathologies may reveal interesting incidental, mobile hyperechoic particles ("snowflakes") in anechoic areas. Purpose of this study is to explain and discuss this snowing-like ultrasonographic feature of intraosseous jaw pathologies. Material and methods: This study included 113 patients admitted to our clinic for examination: 43 (38.05%) males and 70 (61.9%) females with a mean age of 34.9 +/- 17.2 years (range: 6-72 years). A total of 120 intraosseous lesions were evaluated prior to surgery using ultrasonography; these included non-neoplastic, odontogenic, and non-odontogenic lesions. Results: In total, 5 (4.1%) of the 120 lesions exhibited snowing-like feature on ultrasonography, including 2 (1.6% of total) of 3 incisive canal cysts, 2 (1.6% of total) of 7 dentigerous cysts, and 1 (0.8% of total) of 19 odontogenic keratocysts. Conclusions: Snowflakes evident on ultrasonography of intraosseous jaw lesions may be specific to certain pathologies. Future studies correlating radiologic and pathologic features of intraosseous jaw lesions should focus on ultrasonographic snowing-like appearance in different types of lesions and explore why they occur
COMPARISON OF DIFFUSION-WEIGHTED MAGNETIC RESONANCE IMAGING VERSUS F-18 FLUORODEOXYGLUCOSE POSITRON EMISSION TOMOGRAPHY IN THE ASSESSMENT OF N2 LYMPH NODE METASTASIS DUE TO NON-SMALL CELL LUNG CANCER
Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs
Objective: This study evaluated the use of a deep-learning approach for automated detection and numbering of deciduous teeth in children as depicted on panoramic radiographs. Methods and materials: An artificial intelligence (AI) algorithm (CranioCatch, Eskisehir-Turkey) using Faster R-CNN Inception v2 (COCO) models were developed to automatically detect and number deciduous teeth as seen on pediatric panoramic radiographs. The algorithm was trained and tested on a total of 421 panoramic images. System performance was assessed using a confusion matrix. Results: The AI system was successful in detecting and numbering the deciduous teeth of children as depicted on panoramic radiographs. The sensitivity and precision rates were high. The estimated sensitivity, precision, and F1 score were 0.9804, 0.9571, and 0.9686, respectively. Conclusion: Deep-learning-based AI models are a promising tool for the automated charting of panoramic dental radiographs from children. In addition to serving as a time-saving measure and an aid to clinicians, AI plays a valuable role in forensic identification