Background/Objectives: The study aimed to validate the diagnostic system proposed by the Standardized Tool for the Assessment of Bruxism (STAB) by correlating the results obtained based on questionnaire and non-instrumental and instrumental tools. Methods: The study had three stages (questionnaire, clinical examination, and electromyographic study). The subjects completed a questionnaire and clinical exam. Positive signs of bruxism included oral mucosal signs and the presence of dental wear according to the BEWE index. In stage three, sEMG was performed after allocating subjects into four groups according to the questionnaire and clinical exam results: sleep bruxism (SB), awake bruxism (AB), sleep and awake bruxism (SB AB), and no bruxism (no B). After the third stage, a new selection was made, and the subjects were divided into four groups, according to sEMG results. Diagnostic accuracy was computed for possible bruxism SB and grinding and clenching sound diagnosis, possible bruxism AB and AB acknowledgment, possible bruxism SB AB, and tooth wear index. Results: For SB, the sensitivity and specificity of the tools were the highest. The non-instrumental questionnaire and clinical assessment identified 67% of SB cases and 89% without SB. For AB, the specificity was higher (84%), while the sensitivity was lower (55%), as almost half of the subjects were not aware of the presence of AB. The tests showed a low sensitivity (15%) but a high specificity (83%) for tooth wear. The absence of tooth wear was frequently associated with the absence of bruxism, while the presence of tooth wear did not necessarily imply the existence of bruxism. Conclusions: Non-instrumental evaluation of bruxism through questionnaires and clinical exams is valuable, especially for SB. Instrumental evaluation through electromyography remains a gold standard for bruxism diagnosis.

Medical databases usually contain a significant volume of images, therefore search engines based on low-level features frequently used to retrieve similar images are necessary for a fast operation. Color, texture, and shape are the most common features used to characterize an image, however extracting the proper features for image retrievals in a similar manner with the human cognition remains a constant challenge. These algorithms work by sorting the images based on a similarity index that defines how different two or more images are, and histograms are one of the most employed methods for image comparison. In this paper, we have extended the concept of image database to the set of frames acquired following wireless capsule endoscopy (from a unique patient). Then, we have used color and texture histograms to identify very similar images (considered duplicates) and removed one of them for each pair of two successive frames. The volume reduction represented an average of 20% from the initial data set, only by removing frames with very similar informational content.

Background: Osseointegration is the main factor that ensures the long-term success of implant-prosthetic therapy, but besides this, there are other important factors, such as the quality of the alveolar bone and the time of placement of dental implants. The study aimed to analyze changes in the alveolar bone following tooth extraction, comparing natural healing with immediate implant placement, using fractal analysis on OPG images. Methods: This retrospective study included OPG images obtained before tooth extraction and 3 months after surgery in 91 patients who underwent maxillary and mandibular molar extractions and opted for either natural healing or immediate dental implant placement. Fractal analysis of OPG images was performed using Image J software, and the resulting measurements were subsequently statistically analyzed. Results: Most extractions were performed in the maxilla, and most were at the level of the first molar. The study group showed a faster healing process following immediate placement of dental implants, regardless of location, and a similar distribution of bone resorption and healing, with clear differences in location: the mandible had a faster healing process than the maxilla. Conclusions: Fractal analysis showed a better and quicker bone healing of the alveolar bone in immediate implant placement in molar areas compared with post-extraction natural healing, especially in the lower jaw.