This study aimed to evaluate the pathological factors and anatomical variations in the maxillary sinus in patients undergoing dental implant treatment using cone beam computed tomography (CBCT). CBCT, as a key imaging technique in dentistry, offers high-resolution images to assess bone morphology and quality, crucial for preoperative dental implant planning. Material and methods: The study included a cohort of 200 patients recommended for CBCT as part of their preoperative evaluation. The methodology involved detailed CBCT image analysis to identify and document various anatomical variations due to pneumatization, exostosis, hypoplasia, polyps, cysts, foreign bodies, and anthroliths within the maxillary sinus. Results: Pneumatization was the most common variation, present in 77.5% of subjects. Polypoid lesions were found in 17.5% of patients, with a higher prevalence in younger age groups (57.1% in ages 20–35). Cysts and polyps affected 17.5% of subjects, predominantly males (65.7%). Anthroliths were observed in a minimal percentage (2%), and foreign bodies were found in 1.5% of the patients. Positive correlations were observed between the patient’s age and both mucosal thickness and polypoid lesions and between the patient’s gender and bone thickening (p-values < 0.05). Conclusions: The study concluded that CBCT is essential in the preoperative assessment of the maxillary sinus in dental implant candidates due to its superior imaging capabilities, allowing for the identification of critical anatomical variations and pathologies. This thorough evaluation is imperative to ensure the success of implant placement and to mitigate potential complications. However, further research with larger, more diverse populations is recommended to confirm these findings.
Background: This study aimed to compare the accuracy of linear measurements obtained using the classical (manual) method versus cone-beam computed tomography (CBCT) in craniofacial anthropometry, specifically targeting the infraorbital foramen (IOF). Methods: This study involved two sample groups: one of 40 dry skulls measured manually using digital calipers, and the other of 40 CBCT 3D images digitally measured. Measurements included IOF height, distances between the IOF and nasion (N), IOF and frontomalar orbital (FMO), and between the two IOFs. Statistical analysis was performed using an ANOVA, t-test, and Fisher’s test with a significance level of 0.05. Results: The manual method recorded a mean IOF height of 2.1 mm, while CBCT showed a mean of 3.52 mm. Significant differences were recorded between the two methods when measuring IOF height, with a p < 0.001. However, CBCT measurements generally yielded higher accuracy and lower variance due to the absence of significant differences (p > 0.05). The distance between the two IOFs measured by both methods differed significantly (p = 0.03157), with CBCT measurements showing higher values. Conclusions: In conclusion, although no significant differences were found in the overall accuracy of the two methods, CBCT proved to be a more reliable tool for detailed craniofacial measurements due to its higher accuracy and reproducibility. CBCT demonstrated superior consistency in measurements, offering enhanced precision in assessing craniofacial structures. These findings support the growing preference for CBCT in maxillofacial surgery, where precision is critical for successful outcomes. Nonetheless, manual techniques remain valuable in settings where advanced imaging is not accessible.
5 December 2025 in BRAIN. BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE
Toxoplasma gondii (T.gondii), a protozoan parasite with global prevalence, shows a unique neurotropism that allows it to persist chronically within the central nervous system (CNS). While often clinically silent, chronic toxoplasmosis has been increasingly associated with a range of psychiatric conditions, including schizophrenia, bipolar disorder, suicidal behaviour, and potentially Alzheimer’s disease. The underlying mechanisms are multifactorial,involving direct cyst localization, neuroinflammation, altered neurotransmission, and immunomodulation. In parallel, artificial intelligence (AI) and machine learning (ML) tools are transforming the landscape of biomedical research. In the context of T. gondii, these tools are being employed in neuroimaging analysis, behavioural prediction models, and systems-level simulation of brain-parasite interactions. AI has the potential to enhance early detection of neuroanatomical changes, predict psychiatric outcomes based on infection markers, and uncover latent patterns in large-scale datasets. This descriptive review aims to synthesize the current knowledge on the neurological effects of T. gondii infection while highlighting the emerging integration of AI methodologies in parasitic neuroscience. We discuss pathophysiological mechanisms, psychiatric implications, and how computational tools may bridge gaps in understanding this enigmatic pathogen’s impact on the human brain.
15 March 2024 in Romanian Journal of Oral Rehabilitation
Aim of the study The purpose of this study is to demonstrate the effectiveness of two primary stability measurement tools: insertion torque value and the stability coefficient using resonance frequency analysis with the ISQ (Implant Stability Quotient) in the therapeutic decision for the immediate loading of dental implants anchored in the golden quadrilateral of the maxillary bone. Material and methods 22 patients presenting with total edentation or advanced periodontal disease were consulted and operated in a private oral surgery clinic. A total of 110 conical- shaped implants were inserted. Results The average ISQ scale value for implant 1.1 was higher in the control group but it did not reach statistical significance between the two statistically analyzed groups. The average ISQ scale value for implant 1.4 was higher in the test group, compared to the control group, showing statistically significant significance. Patients in the control group associated a higher average value for the ISQ scale in the case of implant 2.4 , being a statistically significant parameter in our study group. The average insertion torque value for the implant was higher in the test group of patients at implant 1.1, implant 1.4 and implant 2.4 . Conclusions The insertion torque, along with the resonance frequency analysis, serve as tools for measuring primary stability. In our study, both groups exhibited adequate primary stability for immediate prosthetic loading, but the distal implants anchored in the golden quadrilateral of the maxilla showed a significant value.