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Axial plane characteristics of thoracic scoliosis and their usefulness for determining the fusion levels and the correction technique

机译:胸腔脊柱侧凸的轴平特征及其测定融合水平的用途及校正技术

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There is insufficient information regarding axial plane characteristics of scoliosis despite its 3D nature. The posterior anterior vertebral vector (VV) has been proposed to characterize the axial plane appearances of the thoracic scoliosis. This study aimed to highlight the importance of knowledge of axial plane features when determining fusion levels and correction techniques of thoracic curves. Altogether, 233 thoracic curves were analyzed using the VV after proving its usability instead of 3D angles to determine axial plane parameters such as apical vertebral (APV) axial rotations, APV lateral displacement, and intervertebral rotations (IVR). K-means clustering and regression analysis were used to identify axial plane curve patterns and determine the relationship between the coronal angles and axial plane characteristics, respectively. A close correlation was found between 3D angles and VV projected angles. Eight axial plane clusters were distinct, exhibiting different lateral APV displacement toward the interacetabular axis with relatively small axial rotations and a simultaneous decrease in sagittal curves. The regression analysis showed that the correlation of coronal curve magnitude was significantly stronger (r = 0.78) with APV lateral translation than with APV axial rotation (r = 0.65). Based on these findings, the primary goal of scoliosis correction should focus on minimizing lateral translation rather than eliminating axial rotation. Knowing the IVR in the axial plane helps accurately determine the limits of the structural curves. VV-based axial views can facilitate the accurate determination of the end vertebrae and selection of the appropriate correction technique of the curve. These slides can be retrieved under Electronic Supplementary Material.
机译:尽管其3D性质,但仍然存在关于脊柱轴突的轴向平面特征的信息不足。已经提出了后侧椎体载体(VV)来表征胸腔脊柱侧凸的轴向平面外观。该研究旨在在确定胸曲线的融合水平和校正技术时突出轴向平面特征知识的重要性。在证明其可用性而不是3D角度以确定轴向平面参数之后,使用VV分析233个胸曲线,以确定诸如顶端椎骨(APV)轴向旋转,APV横向位移和椎间旋转(IVR)。 K-Means聚类和回归分析用于识别轴向平面曲线图案,并分别确定冠状角和轴向平面特性之间的关系。在3D角度和VV投影角之间发现了紧密相关性。八个轴向平面簇明显,朝向间隙轴线的不同侧向APV位移,具有相对小的轴向旋转和矢状曲线的同时减少。回归分析表明,冠状曲线幅度的相关性具有比APV轴向旋转(R = 0.65)的APV横向翻译显着强化(r = 0.78)。基于这些发现,脊柱侧凸校正的主要目标应专注于最小化横向翻译而不是消除轴向旋转。了解轴向平面中的IVR有助于精确地确定结构曲线的限制。基于VV的轴向视图可以方便准确地确定端椎骨的终端和选择曲线的适当校正技术。这些幻灯片可以在电子补充材料下检索。

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