Mapping an intelligent algorithm for predicting female adolescents' cervical vertebrae maturation stage with high recall and accuracy.

BACKGROUNDS AND OBJECTIVES: The present study was designed to define a novel algorithm capable of predicting female adolescents' cervical vertebrae maturation stage with high recall and accuracy. METHODS: A total of 560 female cephalograms were collected, and cephalograms with unclear vertebral shapes and deformed scales were removed. 480 films from female adolescents (mean age: 11.5 years; age range: 6-19 years) were used for the model development phase, and 80 subjects were randomly and stratified allocated to the validation cohort to further assess the model's performance. Derived significant predictive parameters from 15 anatomic points and 25 quantitative parameters of the second to fourth cervical vertebrae (C2-C4) to establish the ordinary logistic regression model. Evaluation metrics including precision, recall, and F1 score are employed to assess the efficacy of the models in each identified cervical vertebrae maturation stage (iCS). In cases of confusion and mispredictions, the model underwent modification to improve consistency. RESULTS: Four significant parameters, including chronological age, the ratio of D3 to AH3 (D3:AH3), anterosuperior angle of C4 (@4), and distance between C3lp and C4up (C3lp-C4up) were administered into the ordinary regression model. The primary predicting model that implements the novel algorithm was built and the performance evaluation with all stages of 93.96% for accuracy, 93.98% for precision, 93.98% for recall, and 93.95% for F1-score were obtained. Despite the hybrid logistic-based model achieving high accuracy, the unsatisfactory performance of stage estimation was noticed for iCS3 in the primary cohort (89.17%) and validation cohort (85.00%). Through bivariate logistic regression analysis, the posterior height of C4 (PH4) was further selected in the iCS3 to establish a corrected model, thus the evaluation metrics were upgraded to 95.83% and 90.00%, respectively. CONCLUSIONS: An unbiased and objective assessment of the cervical vertebrae maturation (CVM) method can function as a decision-support tool, assisting in the evaluation of the optimal timing for treatment in growing adults. Our novel proposed logistic model yielded individual formulas for each specific CVM stage and attained exceptional performance, indicating the capability to function as a benchmark for maturity evaluation in clinical craniofacial orthopedics for Chinese female adolescents.

Nasolabial morphological changes in patients with unilateral cleft lip and palate using a Korat-modified nasoalveolar moulding appliance with primary correction.

OBJECTIVE: The objective of this study is to measure the morphological changes of the nose and lip in patients with unilateral cleft lip and palate before and after cheiloplasty with primary rhinoplasty (primary correction) in conjunction with Korat-NAM usage. DESIGN: Longitudinal cohort study. SETTING: Cleft Center Maharat Nakhon Ratchasima Hospital, Nakhon Ratchasima, Thailand. SUBJECTS: Twenty-six patients with unilateral cleft lip and palate. INTERVENTIONS: Control group: only active obturator before primary correction. Experimental group: an active obturator and Korat-NAM I before primary correction. A customized endotracheal tube was retained in the nostril for 3 weeks before switching to Korat-NAM II for 1 year. MAIN OUTCOME MEASURES: Six measurements comprising nostril rim length, nostril height, nostril sill width, columella angle, vertical lip height, and horizontal lip length were measured from the patients' photographs. All measurements, except the columella angle, were reported as the cleft side/non-cleft side value ratio. Measurements were taken at the initial appointment, immediately before, 3 weeks after, and 1 year after primary correction. RESULTS: Nostril rim length ratio, nostril height ratio, nostril sill width ratio, columella angle on the cleft side, and vertical lip height ratio were improved using Korat-NAM before and 3 weeks after primary correction. Nostril rim length and height ratios were significantly better than the control group. CONCLUSIONS: Korat-NAM improved nose and lip morphology before primary correction. An overcorrection improved the nose and lip morphology on the cleft side. The nostril rim length and vertical lip height on the cleft side also improved with Korat-NAM II 1 year after primary correction.

Is automatic cephalometric software using artificial intelligence better than orthodontist experts in landmark identification?

BACKGROUND: To evaluate the techniques used for the automatic digitization of cephalograms using artificial intelligence algorithms, highlighting the strengths and weaknesses of each one and reviewing the percentage of success in localizing each cephalometric point. METHODS: Lateral cephalograms were digitized and traced by three calibrated senior orthodontic residents with or without artificial intelligence (AI) assistance. The same radiographs of 43 patients were uploaded to AI-based machine learning programs MyOrthoX, Angelalign, and Digident. Image J was used to extract x- and y-coordinates for 32 cephalometric points: 11 soft tissue landmarks and 21 hard tissue landmarks. The mean radical errors (MRE) were assessed radical to the threshold of 1.0 mm,1.5 mm, and 2 mm to compare the successful detection rate (SDR). One-way ANOVA analysis at a significance level of P < .05 was used to compare MRE and SDR. The SPSS (IBM-vs. 27.0) and PRISM (GraphPad-vs.8.0.2) software were used for the data analysis. RESULTS: Experimental results showed that three methods were able to achieve detection rates greater than 85% using the 2 mm precision threshold, which is the acceptable range in clinical practice. The Angelalign group even achieved a detection rate greater than 78.08% using the 1.0 mm threshold. A marked difference in time was found between the AI-assisted group and the manual group due to heterogeneity in the performance of techniques to detect the same landmark. CONCLUSIONS: AI assistance may increase efficiency without compromising accuracy with cephalometric tracings in routine clinical practice and research settings.

Clear aligner vs fixed self-ligating appliances: Orthodontic emergency during the 2020 coronavirus disease 2019 pandemic.

INTRODUCTION: The aim was to investigate the type, incidence, and degree of orthodontic-related emergencies in orthodontic patients during the 2020 coronavirus disease 2019 pandemic and compare the different effects of clear aligner (CA) and fixed self-ligating appliances on the orthodontic emergency. METHODS: The questionnaire was based on emergencies in orthodontics. The responses of 428 patients between the ages of 12 and 38 years (20.4 ± 7.03) in orthodontic treatment during 2020 were examined. RESULTS: The gender, age, and the type of orthodontic appliance affect the incidence of orthodontic-related emergencies. Female or adolescent patients treated by self-ligating appliances showed a higher incidence of emergencies. The patients treated by CA exhibited a much lower incidence of emergency. Appliance detachment and mucosa injury were very common in respondents, whereas accidental ingestion and other rare emergencies were less common. The most common reason leading to appliance detachment was chewing hard food. Interestingly, the fixed self-ligating appliances group was also affected by the accidental detachment of appliances to a large extent. The CA and self-ligating groups showed an almost equal incidence of accidental ingestion. The most common foreign body was elastics in both groups. However, the self-ligating group could accidentally ingest dangerous foreign bodies, such as archwires, miniscrews, and welded attachments. CONCLUSIONS: Orthodontic-related emergencies were very common in patients. The CA could effectively reduce orthodontic-related emergencies. Dentists should raise patients' awareness of proper appliance care. A proper and standard protocol should be developed.

PRMT1-p53 Pathway Controls Epicardial EMT and Invasion.

Epicardial cells are cardiac progenitors that give rise to the majority of cardiac fibroblasts, coronary smooth muscle cells, and pericytes during development. An integral phase of epicardial fate transition is epithelial-to-mesenchymal transition (EMT) that confers motility. We uncover an essential role for the protein arginine methyltransferase 1 (PRMT1) in epicardial invasion and differentiation. Using scRNA-seq, we show that epicardial-specific deletion of Prmt1 reduced matrix and ribosomal gene expression in epicardial-derived cell lineages. PRMT1 regulates splicing of Mdm4, which is a key controller of p53 stability. Loss of PRMT1 leads to accumulation of p53 that enhances Slug degradation and blocks EMT. During heart development, the PRMT1-p53 pathway is required for epicardial invasion and formation of epicardial-derived lineages: cardiac fibroblasts, coronary smooth muscle cells, and pericytes. Consequently, this pathway modulates ventricular morphogenesis and coronary vessel formation. Altogether, our study reveals molecular mechanisms involving the PRMT1-p53 pathway and establish its roles in heart development.

Activity of chitosan antifungal denture adhesive against common Candida species and Candida albicans adherence on denture base acrylic resin.

STATEMENT OF PROBLEM: Candida adherence to the denture base is an important cause of denture stomatitis. In addition, infections with drug-resistant Candida have become more prevalent, especially among elderly and immunocompromised patients. Thus, alternative safe antifungal agents for oral applications are needed. PURPOSE: The purpose of this in vitro study was to investigate the activity of chitosan, a natural biopolymer, against common oral Candida species and its efficacy in inhibiting C albicans adherence to denture-base acrylic resin. MATERIAL AND METHODS: The minimum fungicidal concentrations (MFCs) of 5 types of chitosan against 6 species of Candida and 10 C albicans clinical isolates were determined by broth and agar dilution, respectively. N-succinyl chitosan (NSC), low- and high-molecular-weight water-soluble chitosan (LMWC and HMWC), and oligomer and polymer shrimp-chitosan were examined. NSC and HMWC, as pure gel and as a mixture with carboxymethylcellulose (CMC), were applied to acrylic resin disks, incubated with C albicans for 24 hours, and washed, and adherent cells were collected for colony count. The effects of HMWC on human gingival fibroblasts after 1 and 24 hours of treatment were measured by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay. The retention force of HMWC gel was measured by using a universal testing machine. The Kruskal-Wallis and Mann-Whitney U tests were used to compare the antiadherence activity (α=.05). RESULTS: HMWC had the highest antifungal activity against most Candida species tested and C albicans clinical isolates. HMWC gel completely inhibited C albicans adherence to denture base acrylic resin (P<.001). CMC denture adhesive significantly increased C albicans adherence (P<.001), but adding 2×MFC HMWC into CMC reduced the adherence, although this was not statistically significant (P=.06). HMWC at 1×MFC and 2×MFC showed no toxic effect on gingival fibroblast viability and proliferation. Moreover, the retention force provided by HMWC gel was sufficient for use as a denture adhesive (>5000 Pa). CONCLUSIONS: High-molecular-weight, water-soluble chitosan is a biocompatible biopolymer that could inhibit C albicans adherence and that showed properties suitable for development into an antifungal denture adhesive.