Furlanetto Tássia S, Candotti Cláudia T, Sedrez Julianna A, Dutra Vinícius H, Vieira Adriane, Loss Jefferson F
School of Physical Education, Physiotherapy and Dance, Federal University of the Rio Grande do Sul, Porto Alegre, RS, Brazil.
School of Physical Education, Physiotherapy and Dance, Federal University of the Rio Grande do Sul, Porto Alegre, RS, Brazil.
J Manipulative Physiol Ther. 2020 Feb;43(2):93-99. doi: 10.1016/j.jmpt.2019.03.010.
To analyze the concurrent validity of the Digital Image-based Postural Assessment (DIPA) method for identifying the magnitude and classification of thoracic kyphosis in adults.
On the same day and in the same place, thoracic kyphosis was assessed in 68 adults using 2 methods: the DIPA software protocol and radiography. The DIPA software provided angular values of thoracic kyphosis based on trigonometric relations, while with the radiograph, the curvature was calculated using the Cobb method. The following tests were applied in the statistical analysis: Pearson's correlation, Bland-Altman's graphic representation, root mean square error, and receiver operating characteristic (ROC) curve; α = 0.05. The reference angular values for the standard thoracic posture used in DIPA were determined with the ROC curve based on the Cobb angles.
The correlation between the angles obtained for thoracic kyphosis using the DIPA and Cobb methods was found to be high (r = 0.813, P < .001), and the accuracy was ±4°. According to Bland-Altman's representation, the magnitudes provided by the DIPA software were in agreement with those of the Cobb method. In reference values for determining the standard posture of the thoracic spine, the ROC curve indicated good accuracy in diagnosing a decrease in thoracic kyphosis (with a value of 33.9°) and excellent accuracy in diagnosing thoracic hyperkyphosis (with a value 39.9°) when using DIPA.
The DIPA postural assessment method is valid in the sagittal plane for identifying the magnitude of thoracic kyphosis in adults. Furthermore, it is accurate in diagnosing alterations in thoracic kyphosis.
分析基于数字图像的姿势评估(DIPA)方法在识别成人胸椎后凸畸形的程度和分类方面的同时效度。
在同一天、同一地点,使用两种方法对68名成人的胸椎后凸畸形进行评估:DIPA软件协议和X线摄影。DIPA软件基于三角关系提供胸椎后凸的角度值,而通过X线片,使用Cobb法计算曲率。统计分析采用以下测试:Pearson相关性、Bland-Altman图形表示、均方根误差和受试者工作特征(ROC)曲线;α = 0.05。基于Cobb角,通过ROC曲线确定DIPA中使用的标准胸椎姿势的参考角度值。
发现使用DIPA和Cobb方法获得的胸椎后凸角度之间的相关性很高(r = 0.813,P <.001),准确性为±4°。根据Bland-Altman的表示,DIPA软件提供的数值与Cobb方法的数值一致。在确定胸椎标准姿势的参考值时,ROC曲线表明,使用DIPA诊断胸椎后凸减少(值为33.9°)时准确性良好,诊断胸椎过度后凸(值为39.9°)时准确性极佳。
DIPA姿势评估方法在矢状面中对于识别成人胸椎后凸畸形的程度是有效的。此外,它在诊断胸椎后凸畸形改变方面是准确的。