Measurement of axial vertebral rotation using three-dimensional ultrasound images.

Scoliosis Pub Date : 2015-02-11 eCollection Date: 2015-01-01 DOI:10.1186/1748-7161-10-S2-S7
Quang N Vo, Edmond Hm Lou, Lawrence H Le
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引用次数: 0

Abstract

Background: Axial vertebral rotation (AVR) is one of the important parameters to evaluate the severity and predict the progression of scoliosis. However, the AVR measurements on radiographs may underestimate its actual value. This pilot study investigated a new three-dimensional (3D) ultrasound method to measure AVR.

Methods: Three cadaveric vertebrae T7, L1, and L3 were scanned with a 3D medical ultrasound system. Nine sets of ultrasound data, the vertebral rotation from 0 to 40° with 5° increments, were recorded from each vertebra. An in-house program was developed to reconstruct and measure the 3D vertebral images. The rotation of each reconstructed vertebra was determined by the angle between the line going through the centres of either laminae (L-L) or transverse processes (TP-TP) and a reference vertical plane. Three raters measured the rotation in 3 sessions, in which they used the mouse pointer to select the L-L or TP-TP according to their knowledge of vertebral anatomy. The program detected the 3D coordinates of these points and calculated the AVR. The intra-class correlation coefficients (ICCs) were used to calculate the intra-reliability and inter-reliability. The mean absolute difference (MAD±SD) and the range of difference (RD) between the actual values and the average measurements of each rater were computed to evaluate the accuracy of methods.

Results: When rotation was greater than 30° for both L1 and L3, all raters found it difficult to determine one of the lamina areas due to the lack of ultrasound information in an area behind the spinous process. Therefore, the corresponding measurements were excluded. The ICC values of the intra-reliability (L-L, TP-TP) for the three raters were (0.987, 0.991), (0.989, 0.998) and (0.997, 1.000), respectively; meanwhile, the inter-reliability were 0.991 for (L-L) and 0.992 for (TP-TP). All ICC values were greater than 0.98 indicating both methods were highly reliable. The MAD±SD values (L-L, TP-TP) for the three raters were (1.5±0.3°, 1.2±0.2°), (1.6±0.3°, 1.3±0.3°), and (1.7±0.5°, 0.9±0.2°), respectively. The RD (L-L, TP-TP) were (0-4.5°, 0-3.5°), (0-5.1°, 0-4.3°), and (0-5.1°, 0-2.8°) for the three raters, respectively.

Conclusions: The (L-L) and (TP-TP) methods could be used to measure AVR reliability from the 3D ultrasound images.

Abstract Image

Abstract Image

Abstract Image

利用三维超声图像测量脊椎轴向旋转。
背景:轴向椎体旋转(AVR)是评估脊柱侧凸严重程度和预测其发展的重要参数之一。然而,X 光片上的 AVR 测量值可能会低估其实际值。这项试验性研究调查了一种新的三维(3D)超声方法来测量 AVR:方法:用三维医学超声系统扫描了三块尸体脊椎骨 T7、L1 和 L3。每个椎体记录了九组超声数据,椎体旋转角度从 0°到 40°,增量为 5°。开发了一个内部程序来重建和测量三维椎体图像。每个重建椎体的旋转度由穿过椎板(L-L)或横突(TP-TP)中心的直线与参考垂直面之间的角度确定。三位测量者分三次测量旋转,他们根据自己的脊椎解剖学知识使用鼠标指针选择 L-L 或 TP-TP。程序检测出这些点的三维坐标,并计算出 AVR。类内相关系数(ICC)用于计算可靠度内和可靠度间。计算实际值与每位评分者平均测量值之间的平均绝对差值(MAD±SD)和差值范围(RD),以评估方法的准确性:结果:当L1和L3的旋转角度大于30°时,由于棘突后方区域缺乏超声波信息,所有评分者都难以确定其中一个薄层区域。因此,相应的测量结果被排除在外。三位评分者在可靠度(L-L、TP-TP)内的 ICC 值分别为(0.987,0.991)、(0.989,0.998)和(0.997,1.000);可靠度间(L-L)为 0.991,(TP-TP)为 0.992。所有 ICC 值均大于 0.98,表明这两种方法都非常可靠。三位评分者的 MAD±SD 值(L-L、TP-TP)分别为(1.5±0.3°、1.2±0.2°)、(1.6±0.3°、1.3±0.3°)和(1.7±0.5°、0.9±0.2°)。三位评分者的 RD(L-L、TP-TP)分别为(0-4.5°、0-3.5°)、(0-5.1°、0-4.3°)和(0-5.1°、0-2.8°):L-L)和(TP-TP)方法可用于测量三维超声图像中的 AVR 可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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