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Can a semi-automated surface matching and principal axis-based algorithm accurately quantify femoral shaft fracture alignment in six degrees of freedom?

机译:半自动表面匹配和基于主轴的算法是否可以在六个自由度上准确量化股骨干骨折的对中?

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摘要

Accurate alignment of femoral shaft fractures treated with intramedullary nailing remains a challenge for orthopaedic surgeons. The aim of this study is to develop and validate a cone-beam CT-based, semi-automated algorithm to quantify the malalignment in six degrees of freedom (6DOF) using a surface matching and principal axes-based approach. Complex comminuted diaphyseal fractures were created in nine cadaveric femora and cone-beam CT images were acquired (27 cases total). Scans were cropped and segmented using intensity-based thresholding, producing superior, inferior and comminution volumes. Cylinders were fit to estimate the long axes of the superior and inferior fragments. The angle and distance between the two cylindrical axes were calculated to determine flexion/extension and varus/valgus angulation and medial/lateral and anterior/posterior translations, respectively. Both surfaces were unwrapped about the cylindrical axes. Three methods of matching the unwrapped surface for determination of periaxial rotation were compared based on minimizing the distance between features. The calculated corrections were compared to the input malalignment conditions. All 6DOF were calculated to within current clinical tolerances for all but two cases. This algorithm yielded accurate quantification of malalignment of femoral shaft fractures for fracture gaps up to 60mm, based on a single CBCT image of the fractured limb.
机译:骨内钉治疗股骨干骨折的准确对准仍然是骨科医生的一个挑战。这项研究的目的是开发和验证基于锥束CT的半自动算法,该算法使用表面匹配和基于主轴的方法来量化六自由度(6DOF)中的未对准。在9具尸体股骨中创建了复杂的干端骨折,并获得了锥形束CT图像(共27例)。使用基于强度的阈值法对扫描进行裁剪和分段,产生上,下和粉碎体积。圆柱体适合于估计上部和下部碎片的长轴。计算两个圆柱轴之间的角度和距离,分别确定屈曲/伸展度和内翻/外翻角度以及内侧/外侧和前/后平移。两个表面均围绕圆柱轴展开。在最小化特征之间距离的基础上,比较了三种匹配未包裹表面以确定周向旋转的方法。将计算出的校正值与输入的未对准条件进行比较。除两个病例外,所有6DOF的计算均在当前临床耐受范围内。该算法基于单个四肢骨折的CBCT图像,可以准确量化股骨干骨折错位(对于最大60mm的骨折间隙)。

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