Government Dental College, Silchar is a government dental college of Assam. It was established in 2018 by Government of Assam.The college offers 5 year full-time degree course of Bachelor of Dental Surgery (BDS). The college is affiliated under Srimanta Sankaradeva University of Health Sciences. It is recognized by Dental Council of India..
Aim: To evaluate the effect of print orientation (0°, 45°, and 90°) on the dimensional accuracy, precision, and production parameters of three-dimensional (3D) printed complete denture models fabricated using VAT photopolymerization and fused deposition modeling (FDM) technologies. Settings and Design: An in-vitro experimental comparative study was conducted to analyze orientation-dependent variations in dimensional trueness and precision among denture models fabricated with two additive manufacturing systems. Materials and Methods: A complete denture prosthesis STL file was fabricated in 60 samples using VAT photopolymerization and FDM technologies across three orientations (0°, 45°, and 90°). Printed models underwent postprocessing, followed by digital superimposition to evaluate trueness and precision. Statistical Analysis Used: Statistical analyses were performed using one-way ANOVA with post hoc Tukey’s honestly significant difference tests and independent t-tests for intertechnology comparison. Results: VAT prints demonstrated higher average accuracy (mean deviation: 0.1106 mm) but greater variability (standard deviation [SD] =0.2448 mm) than FDM (mean deviation: 0.0316 mm, SD = 0.1558 mm). Across both technologies, the 0° orientation showed the least deviation (VAT: 0.1106 mm and FDM: 0.0316 mm). ANOVA indicated no significant differences among orientations (P = 0.109), whereas t-tests revealed substantial differences between technologies (t = 16.46, P < 0.00001). FDM at 90° exhibited the lowest variability (SD = 0.1163 mm), suggesting a trend toward improved consistency, though this did not reach statistical significance. Conclusion: Print orientation influenced dimensional accuracy trends, but only technology type showed statistically significant differences. VAT photopolymerization is suitable for high-precision applications.
Maxillary sinus mucoceles are rare, benign, and expansile lesions that can lead to gradual enlargement and bony erosion. When a mucocele becomes infected, it is termed a mucopyocele or pyocele and can closely mimic odontogenic pathologies. We report the case of a 38-year-old male presenting with pain and swelling in the maxillary posterior region, mimicking a radicular cyst. Accurate diagnosis relies on a combination of symptoms, clinical evaluation, imaging, surgical exploration, and histological confirmation. This case highlights the clinical overlap between sinus mucopyoceles and odontogenic lesions, emphasizing the importance of a comprehensive diagnostic approach.
Background and aim: The healing process after Gingivectomy can vary depending on the technique used, with both diode laser and conventional scalpel methods providing satisfactory results but differing regarding postoperative recovery. Coronal displacement of the gingival margin is a possible and unwanted sequel of the gingivectomy procedure. This study aims to compare the laser and scalpel gingivectomy and determine differences in tissue rebound, healing, postoperative pain, and the need for analgesics post-gingivectomy in these patients. Material and methods: Thirty-two patients were consecutively recruited into the two groups. The parameters evaluated included pain perceived postoperatively after 30 minutes on the 7th and 14th Day, healing on the 7th, 14th, and 30th Day, gingival tissue rebound on the 14th and 30th Day, and analgesics required in the postoperative period. Results: There was a significant difference in gingival index and gingival relapse on the 14th Day and 30th Day between the groups, with a lesser amount of relapse in the laser group. Groups I and II showed statistically significant differences in healing, with the scalpel group recording better healing in all follow-up appointments. There was no significant difference in pain scores and postoperative analgesic intake. Conclusions: The study demonstrated that coronal displacement of the gingival margin was comparatively lesser in the laser group, even though it had delayed healing. Combining both techniques might enhance clinical outcomes, particularly in managing gingival inflammation and migration in the initial months following surgery.
INTRODUCTION:An increase in dental trauma due to seizures in epileptic patients is a serious concern. Other serious injuries are treated immediately, but dental trauma goes ignored. We conducted a systematic review and meta-analysis to know the proportion of dental injuries and their subgroups. METHODS:We searched PubMed, EMBASE, Web of Science, and Google Scholar from January 1, 1990, to April 30, 2023, to identify articles reporting dental trauma due to epilepsy. We used two measures of heterogeneity (Q and I2-statistic) to select appropriate model (fixed or random effect model) for estimating pooled proportion. We used meta-regression to identify the significant predictors affecting the proportion of interest. RESULTS:We included 28 articles in the final meta-analysis. The pooled proportion (prop) of dental trauma in epilepsy patients was 0.20 (95% CI 0.16 to 0.25). The categories for subgroup meta-analysis were hard tissue dental injury (prop: 0.14 (0.09, 0.20)), soft tissue dental injury (prop: 0.25 (0.18, 0.32)), both groups (prop: 0.48 (0.39, 0.57)), injury to teeth (prop: 0.14 (0.09, 0.20)), injury to tongue (prop: 0.28 (0.18, 0.37)), injury to lip (prop: 0.17 (0.10, 0.25)). gum injury (prop: 0.09 (0.05, 0.16)), injury to cheek (Prop: 0.12 (0.06, 0.18)), others (Prop: 0.61 (0.46, 0.75)), Negroid group (prop: 0.15 (0.08, 0.21)), Caucasian group (prop: 0.20 (0.12, 0.28)), and Asian group (prop: 0.24 (0.16, 0.32)). CONCLUSION:The proportion of traumatic dental injuries due in patients with epilepsy was 0.20. Oral soft tissues were more affected than hard tissues (prop: 0.25 vs 0.14), and among soft tissues, tongue was most affected (prop: 0.28). Early age of epilepsy onset and high frequency of seizures also contribute to dental trauma.