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库马尔和戴加瓦内利用全景曲面断层片(OPG)作为诊断工具,对单侧唇腭裂患者的扇形分类和受影响犬齿分级系统进行的比较分析。

A Comparative Analysis of Sector Classification and the Impacted Canine Grading System by Kumar and Daigavane in Patients With Unilateral Cleft Lip and Palate Utilizing Orthopantomogram (OPG) as a Diagnostic Tool.

作者信息

Soni Nikita, Niranjane Priyanka, Daigavane Pallavi, Kamble Ranjit

机构信息

Department of Orthodontics and Dentofacial Orthopaedics, Sharad Pawar Dental College and Hospital, Datta Meghe Institute of Higher Education and Research, Wardha, IND.

出版信息

Cureus. 2024 Aug 17;16(8):e67079. doi: 10.7759/cureus.67079. eCollection 2024 Aug.

Abstract

Introduction Non-syndromic oral clefts, affecting one in 700 newborns in India, are the most prevalent craniofacial anomalies, with genetic or environmental causes impacting various life aspects. Studies indicate higher dental disturbances, particularly impacted canines, in cleft lip and palate (CLP) patients compared to non-cleft individuals. Impacted canines, trapped by hard tissues, require early diagnosis to prevent orthodontic issues. The widely used Ericson and Kurol method employs orthopantomograms (OPGs) to classify canine impaction in typical children. However, diagnosing canines in CLP patients is challenging due to palate defects and post-grafting complications. This study aims to compare the utility of the Kumar and Daigavane (KD) grading system and the sector classification to determine the best method for diagnosing impacted canine eruption paths. Method This cross-sectional comparative observational study was conducted at Sharad Pawar Dental College's Department of Orthodontics and Dentofacial Orthopaedics. The sample size, calculated using a significance level of 5% and a prevalence of 1%, required a minimum of 16 participants aged 9-11 years with non-syndromic clefts and impacted canines. Patients with systemic diseases or over 12 years of age were excluded. The sectoral and KD classification systems collected and evaluated OPGs from qualifying cleft patients. Sector classification considered the angle between the occlusal plane or canine tip and the adjacent tooth's long axis, while KD's classification considered the Frankfort horizontal plane, occlusal plane, vertical height from the occlusal plane, canine apex root position, and canine exposure to the cleft defect. Results The study found an 81.25% agreement between the KD grading system and the sector classification, with a Cohen's kappa value of 0.586, indicating a moderate agreement. The KD system showed 81.82% sensitivity and 80.00% specificity, with positive and negative predictive values of 90.00% and 66.67%, respectively. The receiver operating characteristic (ROC) curve analysis revealed the KD system's superior performance in identifying impacted and non-impacted canines compared to the sector classification. Conclusion The KD grading system demonstrated higher efficacy than the sector classification for evaluating the impacted canines in children with unilateral cleft lip and palate (UCLP). The KD system's high sensitivity and specificity make it a valuable tool for predicting canine eruption paths and addressing anatomical challenges in cleft conditions. This study highlights the need for accurate diagnostic tools tailored to cleft patients and contributes to advancing orthodontic treatment outcomes through improved classification systems.

摘要

引言

非综合征性口腔裂隙影响着印度每700名新生儿中的1名,是最常见的颅面畸形,其遗传或环境原因会影响生活的各个方面。研究表明,与非腭裂个体相比,唇腭裂(CLP)患者的牙齿紊乱情况更严重,尤其是阻生犬齿。阻生犬齿被硬组织困住,需要早期诊断以预防正畸问题。广泛使用的埃里克森和库罗尔方法采用曲面断层片(OPG)对典型儿童的犬齿阻生进行分类。然而,由于腭裂缺陷和移植后并发症,诊断CLP患者的犬齿具有挑战性。本研究旨在比较库马尔和戴加瓦内(KD)分级系统与扇形分类的效用,以确定诊断阻生犬齿萌出路径的最佳方法。

方法

这项横断面比较观察性研究在沙拉德·帕瓦尔牙科学院正畸与牙颌面正畸科进行。使用5%的显著性水平和1%的患病率计算样本量,至少需要16名年龄在9至11岁、患有非综合征性腭裂和阻生犬齿的参与者。患有全身性疾病或年龄超过12岁的患者被排除。扇形和KD分类系统收集并评估了符合条件的腭裂患者的OPG。扇形分类考虑咬合平面或犬齿尖端与相邻牙齿长轴之间的角度,而KD分类考虑法兰克福水平面、咬合平面、从咬合平面算起的垂直高度、犬齿根尖位置以及犬齿暴露于腭裂缺损的情况。

结果

研究发现KD分级系统与扇形分类之间的一致性为81.25%,科恩kappa值为0.586,表明一致性中等。KD系统的敏感性为81.82%,特异性为80.00%,阳性预测值和阴性预测值分别为90.00%和66.67%。受试者工作特征(ROC)曲线分析显示,与扇形分类相比,KD系统在识别阻生和非阻生犬齿方面表现更优。

结论

KD分级系统在评估单侧唇腭裂(UCLP)儿童的阻生犬齿方面比扇形分类显示出更高的效能。KD系统的高敏感性和特异性使其成为预测犬齿萌出路径和解决腭裂情况下解剖学挑战的有价值工具。本研究强调了需要为腭裂患者量身定制准确的诊断工具,并通过改进分类系统为推进正畸治疗结果做出贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d75f/11405062/0c85d27da89a/cureus-0016-00000067079-i01.jpg

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