Purpose: To evaluate the effect of non-extraction treatment protocol combined with rapid palatal expansion and lower molar distalization in borderline Class III malocclusion in adolescents.
Methods: Nine borderline Class III patients (average age: 13.4 ± 0.7 years) with average (6.7 ± 2.8)mm crowding in maxilla and (2.6 ± 0.4) mm crowding in mandible received the treatment described above. The lateral cephalograms of these patients were analyzed. All patients had a pretreatment ANB angle greater than -3°. The difference before and after treatment was analyzed with paired t test using SPSS11.0 software package.
Results: Evaluation of cephalometric measurements revealed forward movement of the maxilla, indicated by 1.69 mm forward positioning of A-point (P < 0.05), and an increase in SNA by 1° (P = 0.054). The mandible was inhibited from growing forward with slight retrusion evidenced by a decreased B-point (-1.88 mm, P < 0.05), and a decrease in SNB by 0.69° (P < 0.05). The combined maxillary and mandibular changes resulted in an increase in ANB angle (1.69°, P < 0.05). A clockwise rotation of the mandible was found, with an increase in Y-axis (0.88°,P < 0.05) and SN-MP (1.50°,P<0.05). Significant change was also found in the forward movement of maxillary incisors (+3.44 mm, P < 0.05), and the slight retrusive positioning of mandibular incisors (-0.5 mm, P > 0.05). An increase in U1-SnPg' (1 mm, P < 0.05) and a decrease in L1-SnPg' (0.63 mm, P > 0.05) resulted in the improvement of upper and lower lips relationship (1.88 mm, P < 0.05).
Conclusion: This treatment protocol can improve the sagittal jaws and upper-lower lip relationship.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Enhanced Intrusion Detection for ICS Using MS1DCNN and Transformer to Tackle Data Imbalance.
Sensors (Basel)
December 2024
School of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin 300132, China.
With the escalating threat posed by network intrusions, the development of efficient intrusion detection systems (IDSs) has become imperative. This study focuses on improving detection performance in programmable logic controller (PLC) network security while addressing challenges related to data imbalance and long-tail distributions. A dataset containing five types of attacks targeting programmable logic controllers (PLCs) in industrial control systems (ICS) was first constructed.
View Article and Find Full Text PDFClustering and classification for dry bean feature imbalanced data.
Sci Rep
December 2024
School of Big Data, Fuzhou University of International Studies and Trade, Fuzhou, 350202, China.
The traditional machine learning methods such as decision tree (DT), random forest (RF), and support vector machine (SVM) have low classification performance. This paper proposes an algorithm for the dry bean dataset and obesity levels dataset that can balance the minority class and the majority class and has a clustering function to improve the traditional machine learning classification accuracy and various performance indicators such as precision, recall, f1-score, and area under curve (AUC) for imbalanced data. The key idea is to use the advantages of borderline-synthetic minority oversampling technique (BLSMOTE) to generate new samples using samples on the boundary of minority class samples to reduce the impact of noise on model building, and the advantages of K-means clustering to divide data into different groups according to similarities or common features.
View Article and Find Full Text PDFNon-surgical Treatment of Severe Skeletal Class III Malocclusion in an Adolescent Patient: A Case Report.
Cureus
December 2024
Department of Orthodontics, Tishreen University, Latakia, SYR.
Class III malocclusion is one of the most challenging malocclusions in orthodontics. Its nature and multifactorial etiology should be taken into consideration, especially in growing and adolescent patients. Many treatment modalities have been proposed.
View Article and Find Full Text PDFThe development of classification-based machine-learning models for the toxicity assessment of chemicals associated with plastic packaging.
J Hazard Mater
November 2024
Drug Theoretics and Cheminformatics (DTC) Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700032, India. Electronic address:
Assessing chemical toxicity in materials like plastic packaging is critical to safeguarding public health. This study presents the development of classification-based machine learning models to predict the toxicity of chemicals associated with plastic packaging. Using an extensive dataset of chemical structures, we trained multiple machine learning models-Random Forest, Support Vector Machine, Linear Discriminant Analysis, and Logistic Regression-targeting endpoints such as Neurotoxicity, Hepatotoxicity, Dermatotoxicity, Carcinogenicity, Reproductive Toxicity, Skin Sensitization, and Toxic Pneumonitis.
View Article and Find Full Text PDFSurvival comparison in adults with congenital systemic to pulmonary shunt and borderline elevated pulmonary vascular resistance versus Eisenmenger syndrome.
Sci Rep
December 2024
Department of Pediatrics, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang Rd., Bangkok, 10700, Thailand.
Pulmonary arterial hypertension (PAH) associated with congenital heart disease (PAH-CHD) is a consequence of unrepaired large systemic-to-pulmonary shunts. The long-term data of adult patients who have PAH-CHD with elevated pulmonary vascular resistance (PVR) are limited. We aimed to investigate the survival of adults who had PAH-CHD with predominantly left-to-right (L-R) shunts with (1) borderline-to-high PVR and (2) treat-and-repair compared with those with Eisenmenger syndrome (ES).
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!