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用于评估特发性脊柱侧凸脊柱畸形的轴向椎体旋转的全自动测量。

Fully automatic measurements of axial vertebral rotation for assessment of spinal deformity in idiopathic scoliosis.

机构信息

Department of Biomedical Engineering, Linköping University, Sweden.

出版信息

Phys Med Biol. 2013 Mar 21;58(6):1775-87. doi: 10.1088/0031-9155/58/6/1775. Epub 2013 Feb 26.

Abstract

Reliable measurements of spinal deformities in idiopathic scoliosis are vital, since they are used for assessing the degree of scoliosis, deciding upon treatment and monitoring the progression of the disease. However, commonly used two dimensional methods (e.g. the Cobb angle) do not fully capture the three dimensional deformity at hand in scoliosis, of which axial vertebral rotation (AVR) is considered to be of great importance. There are manual methods for measuring the AVR, but they are often time-consuming and related with a high intra- and inter-observer variability. In this paper, we present a fully automatic method for estimating the AVR in images from computed tomography. The proposed method is evaluated on four scoliotic patients with 17 vertebrae each and compared with manual measurements performed by three observers using the standard method by Aaro-Dahlborn. The comparison shows that the difference in measured AVR between automatic and manual measurements are on the same level as the inter-observer difference. This is further supported by a high intraclass correlation coefficient (0.971-0.979), obtained when comparing the automatic measurements with the manual measurements of each observer. Hence, the provided results and the computational performance, only requiring approximately 10 to 15 s for processing an entire volume, demonstrate the potential clinical value of the proposed method.

摘要

在特发性脊柱侧凸中,可靠的脊柱畸形测量至关重要,因为它们用于评估脊柱侧凸的程度、决定治疗方案以及监测疾病的进展。然而,常用的二维方法(如 Cobb 角)并不能完全捕捉脊柱侧凸中三维的畸形,其中轴向椎体旋转(AVR)被认为非常重要。有用于测量 AVR 的手动方法,但这些方法通常耗时且具有较高的观察者内和观察者间变异性。在本文中,我们提出了一种用于从计算机断层扫描图像中估计 AVR 的全自动方法。该方法在四名各有 17 个椎体的脊柱侧凸患者上进行了评估,并与三位观察者使用 Aaro-Dahlborn 标准方法进行的手动测量进行了比较。比较结果表明,自动测量与手动测量之间的 AVR 差异与观察者间差异处于同一水平。这进一步得到了观察者内相关系数(0.971-0.979)的支持,该系数是通过将自动测量与每个观察者的手动测量进行比较而获得的。因此,所提供的结果和计算性能,即处理整个容积仅需约 10 到 15 秒,证明了所提出方法的潜在临床价值。

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