Ghaneei Maliheh, Komeili Amin, Li Yong, Parent Eric C, Adeeb Samer
Department of Civil and Environmental Engineering, Donadeo-ICE, University of Alberta, 9203 116th St, Edmonton, AB, T6G 1R1, Canada.
Faculty of Kinesiology, University of Calgary, Calgary, Canada.
BMC Musculoskelet Disord. 2018 Oct 24;19(1):385. doi: 10.1186/s12891-018-2303-4.
Three dimensional (3D) markerless asymmetry analysis was developed to assess and monitor the scoliotic curve. While the developed surface topography (ST) indices demonstrated a strong correlation with the Cobb angle and its change over time, it was reported that the method requires an expert for monitoring the procedure to prevent misclassification for some patients. Therefore, this study aimed at improving the user-independence level of the previously developed 3D markerless asymmetry analysis implementing a new asymmetry threshold without compromising its accuracy in identifying the progressive scoliotic curves.
A retrospective study was conducted on 128 patients with Adolescent Idiopathic Scoliosis (AIS), with baseline and follow-up radiograph and surface topography assessments. The suggested "cut point" which was used to separate the deformed surfaces of the torso from the undeformed regions, automatically generated deviation patches corresponding to scoliotic curves for all analyzed surface topography scans.
By changing the "cut point" in the asymmetry analysis for monitoring scoliotic curves progression, the sensitivity for identifying curve progression was increased from 68 to 75%, while the specificity was decreased from 74 to 59%, compared with the original method with different "cut point".
These results lead to a more conservative approach in monitoring of scoliotic curves in clinical applications; smaller number of radiographs would be saved, however the risk of having non-measured curves with progression would be decreased.
三维(3D)无标记不对称分析技术已被开发用于评估和监测脊柱侧弯曲线。虽然所开发的表面地形(ST)指数与Cobb角及其随时间的变化显示出很强的相关性,但据报道,该方法需要专家来监测操作过程,以防止对某些患者进行错误分类。因此,本研究旨在提高先前开发的3D无标记不对称分析的用户独立性水平,在不影响其识别进展性脊柱侧弯曲线准确性的前提下,采用新的不对称阈值。
对128例青少年特发性脊柱侧弯(AIS)患者进行回顾性研究,进行基线和随访的X线片及表面地形评估。用于将躯干变形表面与未变形区域分开的建议“切点”,为所有分析的表面地形扫描自动生成与脊柱侧弯曲线对应的偏差斑块。
与采用不同“切点”的原方法相比,通过改变用于监测脊柱侧弯曲线进展的不对称分析中的“切点”,识别曲线进展的敏感性从68%提高到75%,而特异性从74%降低到59%。
这些结果导致在临床应用中监测脊柱侧弯曲线时采用更保守的方法;可以节省较少数量的X线片,然而未测量到曲线进展的风险将会降低。