Russell Kathy A, Milne Andrew D, Varma Devesh, Josephson Keith, Lee J Michael
Cleft Palate Craniofac J. 2011 Jan;48(1):28-37. doi: 10.1597/09-040. Epub 2010 Feb 24.
The purposes of this study were (1) to develop imaging methods and objective numeric parameters to describe nose morphology, and (2) to correlate those parameters with nasal esthetics for patients with clefts.
A total of 28 patients with repaired complete unilateral cleft lip and palate (CUCLP) and 20 age- and gender-matched individuals without clefts were identified. A panel of orthodontists rated and ranked nasal esthetics from nose casts for the cleft group. Best and worst esthetic cleft groups were established from the cast assessments. Three-dimensional surface coordinates of the casts were digitally mapped with an electromagnetic tracking device. Digitized nasal images were oriented, voxelated, sliced, and mathematically curve-fitted. Maximum difference, percent area difference, and maximum and minimum derivative differences between cleft and noncleft and between right and left nose sides were calculated. Differences in parameters between groups were assessed with the use of analysis of variance (ANOVA) and t tests, and correlations with esthetics were assessed with the Spearman rank correlation test.
Differences were seen between cleft and noncleft and best and worst esthetic groups for all four parameters (p < .05). The best esthetic cleft group had (1) lower percent area difference (p < .0001), (2) lower maximum difference (p < .001), and (3) smaller differences in slope of the nose in the coronal plane (p < .0001) than the worst esthetic cleft group.
Maximum difference and maximum derivative difference and, to a lesser degree, percent area difference can be used to identify differences between cleft and noncleft nasal morphology and to assess levels of nasal esthetics for patients with CUCLP.
本研究的目的是(1)开发成像方法和客观数值参数来描述鼻形态,以及(2)将这些参数与唇腭裂患者的鼻美学进行关联。
共纳入28例单侧完全性唇腭裂(CUCLP)修复患者和20例年龄及性别匹配的非唇腭裂个体。一组正畸医生对唇腭裂组的鼻模进行鼻美学评分和排序。根据模型评估确定美学最佳和最差的唇腭裂组。用电磁跟踪设备对模型的三维表面坐标进行数字映射。对数字化的鼻图像进行定向、体素化、切片和数学曲线拟合。计算唇腭裂与非唇腭裂之间以及左右鼻侧之间的最大差异、面积百分比差异以及最大和最小导数差异。采用方差分析(ANOVA)和t检验评估组间参数差异,采用Spearman秩相关检验评估与美学的相关性。
所有四个参数在唇腭裂与非唇腭裂组以及美学最佳和最差组之间均存在差异(p <.05)。美学最佳的唇腭裂组与美学最差的唇腭裂组相比,(1)面积百分比差异更低(p <.0001),(2)最大差异更低(p <.001),(3)冠状面鼻斜率差异更小(p <.0001)。
最大差异和最大导数差异,以及在较小程度上的面积百分比差异,可用于识别唇腭裂与非唇腭裂鼻形态之间的差异,并评估CUCLP患者的鼻美学水平。