ABSTRACT
OBJECTIVE: To evaluate the quality, source, popularity, visibility and reliability of Tiktok videos on dental implants. MATERIALS AND METHODS: A Tiktok search for dental implants was performed English language setting. Search hashtags were determined as "#dentalimplants," "#dentalimplantsurgery," "#dentalimplantstreatment," and "#implantdentistry." 148 of the 300 videos watched were included the study. Two periodontologists scored the videos for quality, reliability, utility, visibility and popularity. Videos' quality was evaluated using the Global Quality Scale (GQS) and the DISCERN tools, by categorizing them through quality of communication, duration, likes and dislikes, views, source and video type of each video were recorded. RESULTS: There was significant positive correlation between "GQS" and "Total DISCERN" (Rho: 0.636) and "Duration in seconds" (Rho: 0.343) (p<0.05). For Total DISCERN, averages of the 31-45 seconds (p=0.010) and 46 seconds and above (p=.018) groups were higher than the averages of the 0-15 seconds group and average of the Educational group was higher than the average of the Testimonial, Product Advertisement and Entertainment groups (p=0.001, p=0.033 and p=0.041). Healthcare professionals mostly upload GQS 2 score videos and Hospital/Universities mostly upload GQS 2 and 3 score videos (p<0.05). Testimonial videos mostly receive GQS2 score videos and the 'Videos rich in supplementary visuals' quality also receives the most GQS4 score videos (p<0.05). CONCLUSIONS: The results of this study demonstrate that TikTok videos provide low to moderate quality information about dental implants and that TikTok may not provide reliable information about dental implants.
Subject(s)
Dental Implants , Social Media , Humans , Reproducibility of Results , Communication , Hospitals, UniversityABSTRACT
OBJECTIVE: The aim of the present study is to assess the root and root canal morphology of maxillary and mandibular premolars in a Turkish population by using cone beam computed tomography (CBCT). MATERIALS AND METHODS: In this study, CBCT images of 2134 premolars (987 maxillary, 1147 mandibular) were obtained from 404 patients. Details of gender, age, number of roots and canals, and canal configuration in each root were recorded. The canal configuration was classified and evaluated according to Vertucci's criteria. RESULTS: The majority of maxillary premolars had two separate roots; although, three roots were identified in 1% of maxillary first premolars. However, most of the mandibular premolars had a single root. The two canals (69.9%) and type I (62.6%) and type II (34.1%) configuration for upper first premolar, one canal (82.1%) and type I (77.6%) canal configuration for second premolar was the most prevalent root canal frequency. The most prevalent root canal frequency was the one canal (96.2%) and type I (94.2%) and type V (3.2%) configuration for mandibular first premolar, one canal (98.9%) and type I (98.9%) canal configuration for second premolar. There was no difference in the root canal configurations and the numbers of canals between the left and the right side of both females and males (P > 0.05). CONCLUSIONS: Recognition of morphology and anatomy of the root canal system is one of the most important factors for successful endodontic treatment. Preoperative CBCT examination allows determination of root canal configuration of premolar teeth and helps clinicians in root canal treatment.
ABSTRACT
Most periapical lesions are associated with microorganisms from infected root canal systems. Maxillary sinus can pose a diagnostic dilemma radiographically because of its anatomical variation which can mimic a periapical pathosis. The aim of this study was to describe two cases of aberrant anatomical variation of the maxillary sinus that presented radiographic similarities to a periapical cyst in order to call the attention of clinicians to the fact that several different diseases are able to mimic endodontic periapical lesions. An accurate assessment of this morphology was made with the help of cone-beam computed tomography (CBCT).
