{"title":"[考虑个体牙弓横向参数的正畸治疗计划]。","authors":"O I Arsenina, A V Shefova, L N Soldatova","doi":"10.17116/stomat202510403166","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Aim: To determine the current coefficients of transverse parameters for calculating the ideal width of the dental arch.</p><p><strong>Material and methods: </strong>This study examined the ideal width of the dental arch, considering the anatomical dimensions of the jaws and teeth. Correlation between the mesiodistal dimensions of the upper incisors and the width of the dental arch in the premolar and molar regions was used to calculate index values. Patients with a history of orthodontic treatment were excluded from the study. The sample consisted of 500 young patients (18-44 years old) as categorized by WHO. Each participant underwent a dental examination and cone-beam computed tomography. Control-diagnostic models of dental arches were also obtained for further measurements. The width of the dental arches was measured with a caliper between selected points, allowing the determination of parameters in the premolar and molar regions of the upper and lower jaws. Statistical analysis was performed using StatTech v. 4.2.5 software, including the Kolmogorov-Smirnov test to assess normality of distribution. Correlation evaluation was conducted using Pearson's coefficient, and a predictive model was developed via linear regression.</p><p><strong>Results: </strong>By using occlusal points to measure the width of the dental arch in the premolar and molar regions, values applicable to both the upper and lower jaws were calculated. These points represent the contacts between the teeth of the upper and lower jaws during occlusion, ensuring normal alignment. Regression analysis was used to determine the calculated coefficients for the ideal width of the dental arch in the premolar and molar regions. The results obtained were transformed into molar and premolar coefficients.</p><p><strong>Conclusion: </strong>Diagnosis of dental arch narrowing based on anthropometric parameters directly impacts the stability of orthodontic treatment outcomes. A combination of traditional anthropometric methods and modern technologies provides more precise and individualized diagnostics. This not only improves the accuracy of detecting dental arch narrowing but also allows for the selection of optimal orthodontic treatment strategies, leading to predictable and stable results while minimizing the risk of complications.</p>","PeriodicalId":35887,"journal":{"name":"Stomatologiya","volume":"104 3","pages":"66-70"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Planning of orthodontic treatment considering individual transversal parameters of dental arches].\",\"authors\":\"O I Arsenina, A V Shefova, L N Soldatova\",\"doi\":\"10.17116/stomat202510403166\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Aim: To determine the current coefficients of transverse parameters for calculating the ideal width of the dental arch.</p><p><strong>Material and methods: </strong>This study examined the ideal width of the dental arch, considering the anatomical dimensions of the jaws and teeth. Correlation between the mesiodistal dimensions of the upper incisors and the width of the dental arch in the premolar and molar regions was used to calculate index values. Patients with a history of orthodontic treatment were excluded from the study. The sample consisted of 500 young patients (18-44 years old) as categorized by WHO. Each participant underwent a dental examination and cone-beam computed tomography. Control-diagnostic models of dental arches were also obtained for further measurements. The width of the dental arches was measured with a caliper between selected points, allowing the determination of parameters in the premolar and molar regions of the upper and lower jaws. Statistical analysis was performed using StatTech v. 4.2.5 software, including the Kolmogorov-Smirnov test to assess normality of distribution. Correlation evaluation was conducted using Pearson's coefficient, and a predictive model was developed via linear regression.</p><p><strong>Results: </strong>By using occlusal points to measure the width of the dental arch in the premolar and molar regions, values applicable to both the upper and lower jaws were calculated. These points represent the contacts between the teeth of the upper and lower jaws during occlusion, ensuring normal alignment. Regression analysis was used to determine the calculated coefficients for the ideal width of the dental arch in the premolar and molar regions. The results obtained were transformed into molar and premolar coefficients.</p><p><strong>Conclusion: </strong>Diagnosis of dental arch narrowing based on anthropometric parameters directly impacts the stability of orthodontic treatment outcomes. A combination of traditional anthropometric methods and modern technologies provides more precise and individualized diagnostics. This not only improves the accuracy of detecting dental arch narrowing but also allows for the selection of optimal orthodontic treatment strategies, leading to predictable and stable results while minimizing the risk of complications.</p>\",\"PeriodicalId\":35887,\"journal\":{\"name\":\"Stomatologiya\",\"volume\":\"104 3\",\"pages\":\"66-70\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Stomatologiya\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17116/stomat202510403166\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stomatologiya","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17116/stomat202510403166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
摘要
目的:确定牙弓理想宽度的横向参数电流系数。材料和方法:本研究考察了牙弓的理想宽度,考虑到颌骨和牙齿的解剖尺寸。采用上切牙中远端尺寸与前磨牙区、磨牙区牙弓宽度的相关性计算指标值。有正畸治疗史的患者被排除在研究之外。样本由世卫组织分类的500名年轻患者(18-44岁)组成。每位参与者都接受了牙科检查和锥束计算机断层扫描。为进一步测量,还获得了牙弓的对照诊断模型。在选定的点之间用卡尺测量牙弓的宽度,从而确定上下颌的前磨牙和磨牙区域的参数。统计分析采用StatTech v. 4.2.5软件,采用Kolmogorov-Smirnov检验评估分布的正态性。采用Pearson系数进行相关性评价,采用线性回归建立预测模型。结果:利用咬合点测量前磨牙区和磨牙区牙弓宽度,计算出适用于上下颌的牙弓宽度。这些点代表在咬合时上下颌牙齿之间的接触,确保正常对齐。采用回归分析确定前磨牙区和磨牙区牙弓理想宽度的计算系数。所得结果转化为摩尔系数和前摩尔系数。结论:基于人体测量参数诊断牙弓狭窄直接影响正畸治疗结果的稳定性。传统的人体测量方法和现代技术的结合提供了更精确和个性化的诊断。这不仅提高了检测牙弓狭窄的准确性,而且还允许选择最佳的正畸治疗策略,导致可预测和稳定的结果,同时最大限度地减少并发症的风险。
[Planning of orthodontic treatment considering individual transversal parameters of dental arches].
Objective: Aim: To determine the current coefficients of transverse parameters for calculating the ideal width of the dental arch.
Material and methods: This study examined the ideal width of the dental arch, considering the anatomical dimensions of the jaws and teeth. Correlation between the mesiodistal dimensions of the upper incisors and the width of the dental arch in the premolar and molar regions was used to calculate index values. Patients with a history of orthodontic treatment were excluded from the study. The sample consisted of 500 young patients (18-44 years old) as categorized by WHO. Each participant underwent a dental examination and cone-beam computed tomography. Control-diagnostic models of dental arches were also obtained for further measurements. The width of the dental arches was measured with a caliper between selected points, allowing the determination of parameters in the premolar and molar regions of the upper and lower jaws. Statistical analysis was performed using StatTech v. 4.2.5 software, including the Kolmogorov-Smirnov test to assess normality of distribution. Correlation evaluation was conducted using Pearson's coefficient, and a predictive model was developed via linear regression.
Results: By using occlusal points to measure the width of the dental arch in the premolar and molar regions, values applicable to both the upper and lower jaws were calculated. These points represent the contacts between the teeth of the upper and lower jaws during occlusion, ensuring normal alignment. Regression analysis was used to determine the calculated coefficients for the ideal width of the dental arch in the premolar and molar regions. The results obtained were transformed into molar and premolar coefficients.
Conclusion: Diagnosis of dental arch narrowing based on anthropometric parameters directly impacts the stability of orthodontic treatment outcomes. A combination of traditional anthropometric methods and modern technologies provides more precise and individualized diagnostics. This not only improves the accuracy of detecting dental arch narrowing but also allows for the selection of optimal orthodontic treatment strategies, leading to predictable and stable results while minimizing the risk of complications.