Sundareswaran Shobha, Ramakrishnan Ranjith
Department of Orthodontics, Government Dental College, Calicut, Kerala, India.
J Orthod Sci. 2016 Apr-Jun;5(2):57-63. doi: 10.4103/2278-0203.179409.
Facial Aesthetics, a major consideration in orthodontic diagnosis and treatment planning, may not be judged correctly and completely by simply analyzing dental occlusion or osseous structures. Despite this importance, there is no index to guarantee availability of treatment or prioritize patients based on their soft tissue treatment needs. Individuals having well-aligned teeth but unaesthetic convex profiles do not get included for treatment as per current malocclusion indices. The aim of this investigation is to develop an aesthetic index based on facial profiles which could be used as an additional tool with malocclusion indices.
A chart showing typical facial profile changes due to underlying malocclusions was generated by soft tissue manipulations of standardized profile photographs of a well-balanced male and female face. A panel of 62 orthodontists judged the profile photographs of 100 patients with different soft tissue patterns for assessing profile variations and treatment need. The index was later tested in a cross-section of school population. Statistical analysis was done using "irr" package of R environment version 2.15.1.
The index exhibited very good reliability in determining profile variations (Fleiss kappa 0.866, P < 0.001), excellent reproducibility (kappa 0.9078), high sensitivity, and specificity (95.7%). Testing in population yielded excellent agreement among orthodontists (kappa 0.9286).
A new Facial Aesthetic index, based on patient's soft tissue profile requirements is proposed, which can complement existing indices to ensure treatment to those in need.
面部美学是正畸诊断和治疗计划中的一个主要考虑因素,仅通过分析牙合或骨结构可能无法正确和全面地判断。尽管其很重要,但目前尚无指数可确保治疗的可行性或根据患者的软组织治疗需求对患者进行优先排序。按照当前的错牙合指数,牙齿排列整齐但面部轮廓不美观且前凸的个体不被纳入治疗范围。本研究的目的是开发一种基于面部轮廓的美学指数,可作为错牙合指数的补充工具。
通过对一张平衡良好的男性和女性面部的标准化侧面照片进行软组织操作,生成一张显示由于潜在错牙合导致的典型面部轮廓变化的图表。由62名正畸医生组成的小组对100名具有不同软组织模式的患者的侧面照片进行评估,以评估轮廓变化和治疗需求。该指数随后在学校人群的横断面中进行测试。使用R环境版本2.15.1的“irr”软件包进行统计分析。
该指数在确定轮廓变化方面表现出非常好的可靠性(Fleiss卡方值0.866,P < 0.001)、出色的可重复性(卡方值0.9078)、高敏感性和特异性(95.7%)。在人群中的测试在正畸医生之间产生了极好的一致性(卡方值0.9286)。
提出了一种基于患者软组织轮廓需求的新的面部美学指数,它可以补充现有指数,以确保对有需要的患者进行治疗。