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Quantifier variables of the back surface deformity obtained with a noninvasive structured light method: evaluation of their usefulness in idiopathic scoliosis diagnosis

机译:非侵入性结构光方法获得的背面畸形的量化变量:评估其在特发性脊柱侧弯诊断中的实用性

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摘要

New noninvasive techniques, amongst them structured light methods, have been applied to study rachis deformities, providing a way to evaluate external back deformities in the three planes of space. These methods are aimed at reducing the number of radiographic examinations necessary to diagnose and follow-up patients with scoliosis. By projecting a grid over the patient’s back, the corresponding software for image treatment provides a topography of the back in a color or gray scale. Visual inspection of back topographic images using this method immediately provides information about back deformity, but it is important to determine quantifier variables of the deformity to establish diagnostic criteria. In this paper, two topographic variables [deformity in the axial plane index (DAPI) and posterior trunk symmetry index (POTSI)] that quantify deformity in two different planes are analyzed. Although other authors have reported the POTSI variable, the DAPI variable proposed in this paper is innovative. The upper normality limit of these variables in a nonpathological group was determined. These two variables have different and complementary diagnostic characteristics, therefore we devised a combined diagnostic criterion: cases with normal DAPI and POTSI (DAPI ≤ 3.9% and POTSI ≤ 27.5%) were diagnosed as nonpathologic, but cases with high DAPI or POTSI were diagnosed as pathologic. When we used this criterion to analyze all the cases in the sample (56 nonpathologic and 30 with idiopathic scoliosis), we obtained 76.6% sensitivity, 91% specificity, and a positive predictive value of 82%. The interobserver, intraobserver, and interassay variability were studied by determining the variation coefficient. There was good correlation between topographic variables (DAPI and POTSI) and clinical variables (Cobb’s angle and vertebral rotation angle).
机译:新的非侵入性技术,其中包括结构光方法,已被应用于研究棘突畸形,为评估空间三个平面上的外部背部畸形提供了一种方法。这些方法旨在减少诊断和随访脊柱侧弯患者所需的放射线检查数量。通过在患者的背部上方投影网格,用于图像处理的相应软件可提供彩色或灰度级的背部地形。使用此方法对背面地形图像进行视觉检查可立即提供有关背部畸形的信息,但是确定畸形的量化变量以建立诊断标准很重要。在本文中,分析了两个地形变量[轴向变形指数(DAPI)和后躯干对称指数(POTSI)],这些变形量化了两个不同平面中的变形。尽管其他作者已经报告了POTSI变量,但是本文提出的DAPI变量是创新的。确定了非病理学组中这些变量的正态上限。这两个变量具有不同且互补的诊断特征,因此我们设计了一个组合的诊断标准:DAPI和POTSI正常的病例(DAPI≤3.9%和POTSI≤27.5%)被诊断为非病理性,但DAPI或POTSI高的病例被诊断为病理的。当我们使用该标准分析样本中的所有病例(56例非病理性和30例特发性脊柱侧弯)时,我们获得了76.6%的敏感性,91%的特异性和82%的阳性预测值。通过确定变异系数,研究了观察者之间,观察者内部和测定间的差异。地形变量(DAPI和POTSI)与临床变量(科布角和椎骨旋转角)之间具有良好的相关性。

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