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用于唇裂结果评估的计算机辅助人体测量学

Computer-assisted anthropometry for outcome assessment of cleft lip.

作者信息

Hurwitz D J, Ashby E R, Llull R, Pasqual J, Tabor C, Garrison L, Gillen J, Weyant R

机构信息

Department of Plastic Surgery, University of Pittsburgh Medical School, PA, USA.

出版信息

Plast Reconstr Surg. 1999 May;103(6):1608-23. doi: 10.1097/00006534-199905060-00007.

DOI:10.1097/00006534-199905060-00007
PMID:10323693
Abstract

Anthropometry and clinical examination best evaluate the morphology of repaired cleft lip and nose. An original, accurate, and practical image analysis of the lip and nose, which takes advantage of the mathematic, geometric, and organizational capabilities of public domain NIH-Image software (http://rsb.info.nih.gov/nih-image/), has been developed and tested over the past 6 years. A modified structured physical examination form that complements this analysis is under study. Accuracy of NIH-Image-based anthropometry was compared with direct measurements of 22 linear distances on the lip and nose. Twenty-five sets of direct measurements were taken, prospectively, on 15 children with repaired cleft lip over a 6-year period. The results were submitted to regression analysis. Then, relevant lip and nasal tip aesthetics were evaluated by the measuring capabilities of NIH-Image to create a quantitative assessment tool. For each episode, 15 possible faults were weighted, according to aesthetics and deformity, to provide an adverse score. The sum of the 5 lip scores, 10 nose scores, and combination gave respective grades. The analysis was modified to stratify congenital deformity to relate severity of disease to outcome. This analysis was applied to digitized images of 19 consecutive children, immediately prior to repair of complete unilateral cleft lip and nose, at the time of palate repair, and annually from the age of 3 to 6 years. There were 19 NIH-Image-based measurements of the congenital deformity and 35 measurements of surgical results; four children had three sets of records, eight had two sets, and seven had one set Descriptive statistics were applied. Following 556 paired direct and computer-assisted measurements, exceptional linear correlation was shown with a Pearson R coefficient of 0.96. The best correlation was lines within the plane of the camera lens, with the average difference ranging between 0.025 and 0.997 mm. Visual inspection of frontal and submental photographs of excellent, good, and poor results substantiates the ability of this analysis to quantify and grade a spectrum of relevant cleft lip and nasal anatomy. For these 19 patients, there was a broad range of performance scores, approximating a normal distribution. The mean of the NIH-Image-based analysis scores, 16.91, was a (very) good grade. A single standard deviation of 6.88 extended up into excellent and down to fair. The congenital analysis indicated a range of deformity. Comparing deformity with outcome, simple regression analysis had a coefficient of determination (R2) of 0.223, indicative of a weak positive relationship. An accurate and practical morphologic computer-assisted outcome assessment of repaired cleft lip and nasal deformity has been developed. There is a weak direct correlation between severity of deformity and outcome. Testing in multiple clinics is warranted.

摘要

人体测量学和临床检查最能评估唇裂鼻修复后的形态。利用公共领域的美国国立卫生研究院图像软件(http://rsb.info.nih.gov/nih-image/)的数学、几何和组织功能,对唇和鼻进行了原始、准确且实用的图像分析,该分析在过去6年中已得到开发和测试。一种补充此分析的改良结构化体格检查表正在研究中。将基于美国国立卫生研究院图像的人体测量学的准确性与对唇和鼻上22个线性距离的直接测量进行了比较。在6年期间,前瞻性地对15名唇裂修复儿童进行了25组直接测量。将结果进行回归分析。然后,通过美国国立卫生研究院图像的测量能力评估相关的唇部和鼻尖美学,以创建一种定量评估工具。对于每个病例,根据美学和畸形情况对15种可能的缺陷进行加权,以提供一个不良评分。5个唇部评分、10个鼻部评分以及两者的组合分别给出等级。对分析进行了修改,以对先天性畸形进行分层,从而将疾病的严重程度与结果相关联。该分析应用于19名连续儿童的数字化图像,这些图像分别是在完全性单侧唇裂鼻修复前、腭裂修复时以及从3岁到6岁每年拍摄的。对先天性畸形进行了19次基于美国国立卫生研究院图像的测量,对手术结果进行了35次测量;4名儿童有三组记录,8名有两组记录,7名有一组记录。应用了描述性统计。在进行了556对直接测量和计算机辅助测量后,显示出异常高的线性相关性,皮尔逊相关系数R为0.96。最佳相关性是在相机镜头平面内的线条,平均差异在0.025至0.997毫米之间。对优秀、良好和差的结果的正面和颏下照片进行目视检查,证实了该分析能够对一系列相关的唇裂和鼻解剖结构进行量化和分级。对于这19名患者,表现评分范围很广,近似正态分布。基于美国国立卫生研究院图像分析的评分平均值为16.91,属于(非常)好的等级。标准差为6.88,向上延伸到优秀等级,向下延伸到中等等级。先天性分析表明了畸形的范围。将畸形与结果进行比较,简单回归分析的决定系数(R2)为0.223,表明存在弱正相关关系。已开发出一种准确且实用的唇裂鼻修复畸形形态学计算机辅助结果评估方法。畸形严重程度与结果之间存在弱直接相关性。有必要在多个诊所进行测试。

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