DESIGN: Single-centre prospective two-arm parallel randomised controlled trial.
SETTING: Orthodontic Clinic, Faculty of Dentistry, Universiti Teknologi MARA, Selangor, Malaysia.
PARTICIPANTS: Adult orthodontic patients aged 18-35 years, indicated for DPT and LC, who were fit and healthy with a body mass index of 18.5-25.0, not contraindicated to radiographic examination, not pregnant, and did not have a history of facial or skeletal abnormalities or bone diseases were included.
METHODS: Thirty-eight adult orthodontic patients were randomised into control and intervention groups. DPT and LC radiographs in the control group were obtained using standard scanning parameters as prescribed by the manufacturer using Orthopantomograph® OP300 by Instrumentarium. Scanning parameters in the intervention group were reduced by 60% for DPT (60 kV, 3.2 mA) and 30% for LC (85 kV, 8 mA). A five-point rating scale was used for the assessment of image quality. Images were evaluated for diagnostic performance by detection of anatomical landmarks. Mann-Whitney test was performed to compare the quality and diagnostic performance of the images and the observer agreement was assessed using the intraclass correlation coefficient (ICC).
RESULTS: For image quality, the control group produced slightly lower median scores (DPT 2.0, LC 2.0) compared to the intervention group (DPT 2.0, LC 3.0). For diagnostic performance, both groups showed similar median scores (DPT 21.0, LC 32.0). The differences between control and intervention groups for both modalities were not statistically significant. The average scores for intra-observer agreement were excellent (ICC 0.917) and inter-observer agreement was good (ICC 0.822).
CONCLUSION: Minimising radiation exposure by reducing scanning parameters on digital DPT by 60% and LC by 30% on Intsrumentarium 300 OP did not affect the quality and diagnostic performance of the images. Thus, scanning parameters on digital DPT and LC should be reduced when taking radiographs.
OBJECTIVE: This article aims to evaluate current artificial intelligence applications and discuss their performance concerning the algorithm architecture used in forensic odontology.
METHODS: This study summarizes the findings of 28 research papers published between 2010 and June 2022 using the Arksey and O'Malley framework, updated by the Joanna Briggs Institute Framework for Scoping Reviews methodology, highlighting the research trend of artificial intelligence technology in forensic odontology. In addition, a literature search was conducted on Web of Science (WoS), Scopus, Google Scholar, and PubMed, and the results were evaluated based on their content and significance.
RESULTS: The potential application of artificial intelligence technology in forensic odontology can be categorized into four: (1) human bite marks, (2) sex determination, (3) age estimation, and (4) dental comparison. This powerful tool can solve humanity's problems by giving an adequate number of datasets, the appropriate implementation of algorithm architecture, and the proper assignment of hyperparameters that enable the model to perform the prediction at a very high level of performance.
CONCLUSION: The reviewed articles demonstrate that machine learning techniques are reliable for studies involving continuous features such as morphometric parameters. However, machine learning models do not strictly require large training datasets to produce promising results. In contrast, deep learning enables the processing of unstructured data, such as medical images, which require large volumes of data. Occasionally, transfer learning was used to overcome the limitation of data. In the meantime, this method's capacity to automatically learn task-specific feature representations has made it a significant success in forensic odontology.
METHODS: Cone-beam computed tomography (CBCT) images of 211 anterior mandibular teeth were analyzed in sagittal slices to measure the thickness of the facial alveolar bone crest (FAB1) and apex (FAB2), and the lingual alveolar bone crest (LAB1) and apex (LAB2). Tooth angulation was classified as 1°-10°, 11°-20°, and >20° according to the tooth's long axis and alveolar bone wall. Spearman correlation coefficients were used to evaluate correlations between the variables.
RESULTS: FAB1 and LAB1 were predominantly thin (<1 mm) (84.4% and 73.4%, respectively), with the lateral incisors being thinnest. At the apical level, FAB2 and LAB2 were thick in 99.5% and 99.1% of cases, respectively. Significant differences were documented in FAB2 (P=0.004), LAB1 (P=0.001), and LAB2 (P=0.001) of all mandibular teeth. At all apical levels of the inspected teeth, a significant negative correlation existed between TA and FAB2. Meanwhile, TA showed a significant positive correlation with LAB2 of the lateral incisors and canines. These patterns were then divided into class I (thick facial and lingual alveolar bone), class II (facially inclined teeth) with subtype A (1°-10°) and subtype B (11°-20°), and class III (lingually inclined teeth) with subtype A (1°-10°) and subtype B (11°-20°).
CONCLUSIONS: Mandibular anterior teeth have predominantly thin facial and lingual crests, making the lingual bone apical thickness crucial for IIP. Although anchorage can be obtained from lingual bone, tooth angulation and tooth types had an impact on IIP planning. Hence, the new classification based on TA and alveolar bone wall may enable rational clinical planning for IIP treatment.
MATERIAL AND METHODS: A PRISMA-compliant systematic search of literature was done from the MEDLINE, CENTRAL, Science Direct, PubMed and Google Scholar. Literature that fulfilled eligibility criteria was identified. Data measuring plaque score and bleeding score were extracted. Qualitative and random-effects meta-analyses were conducted.
RESULTS: From 1736 titles and abstracts screened, eight articles were utilized for qualitative analysis, while five were selected for meta-analysis. The pooled effect estimates of SMD and 95% CI were -0.07 [-0.60 to 0.45] with an χ2 statistic of 0.32 (p = 0.0001), I2 = 80% as anti-plaque function and 95% CI were -2.07 [-4.05 to -0.10] with an χ2 statistic of 1.67 (p = 0.02), I2 = 82%.
CONCLUSION: S. persica chewing stick is a tool that could control plaque, comparable to a standard toothbrush. Further, it has a better anti-gingivitis effect and can be used as an alternative.
METHODS: Using the PRISMA 2020 Protocol, a systematic search of the publications was undertaken from the MEDLINE, CENTRAL, Science Direct, PubMed, and Google Scholars for randomized control trials published through 31st January 2022 to determine the effectiveness of Salvadora persica-extract mouthwash relative to chlorhexidine gluconate as anti-plaque and anti-gingivitis properties.
RESULTS: A total of 1809 titles and abstracts were screened. Of these, twenty-two studies met the inclusion criteria for the systematic review while only sixteen were selected for meta-analysis. The overall effects of standardized mean difference and 95% CI were 0.89 [95% CI 0.09 to 1.69] with a χ2 statistic of 2.54, 15 degrees of freedom (p
MATERIALS AND METHODS: This retrospective audit study included patients seen from the clinic's inception in January 2017 until June 2022, retrieved from the faculty's record management system. The pattern of patients seen was arranged on an Excel sheet and analyzed using SPSS. Quantitative data were analyzed via descriptive analysis (frequency) and chi-square test (P < 0.05).
RESULTS: A 220% surge in the number of patients treated between January 2017 and June 2022, from two to 91 years old, with more male patients seen. Most patients had an intellectual disability (49.7%), followed by medical compromised (16.4%) and genetic conditions or syndromes (12.0%). 43% of had caries, which is more prevalent in women, and 31.6% had periodontal disease, with the majority being between the ages of 21 and 40. Periodontal treatment accounted for most of the dental treatment (76.1%). Even though only a small percentage of endodontic therapy was performed (2.4%), a significant association was found between the treatment, gender and age group of patients seen in the clinic.
CONCLUSION: Considering their health profile, oral diagnosis and therapy, this study demonstrated the varied sorts of patients encountered in an SCD specialist clinic. This useful information will be beneficial in the development of a comprehensive care dentistry center for this community.