Biomechanics Section, KU Leuven, Leuven, Belgium; Materialise N.V., Heverlee, Belgium.
Biomechanics Section, KU Leuven, Leuven, Belgium; Materialise N.V., Heverlee, Belgium.
J Shoulder Elbow Surg. 2018 Jan;27(1):160-166. doi: 10.1016/j.jse.2017.07.026. Epub 2017 Oct 9.
Description of the native shape of a glenoid helps surgeons to preoperatively plan the position of a shoulder implant. A statistical shape model (SSM) can be used to virtually reconstruct a glenoid bone defect and to predict the inclination, version, and center position of the native glenoid. An SSM-based reconstruction method has already been developed for acetabular bone reconstruction. The goal of this study was to evaluate the SSM-based method for the reconstruction of glenoid bone defects and the prediction of native anatomic parameters.
First, an SSM was created on the basis of 66 healthy scapulae. Then, artificial bone defects were created in all scapulae and reconstructed using the SSM-based reconstruction method. For each bone defect, the reconstructed surface was compared with the original surface. Furthermore, the inclination, version, and glenoid center point of the reconstructed surface were compared with the original parameters of each scapula.
For small glenoid bone defects, the healthy surface of the glenoid was reconstructed with a root mean square error of 1.2 ± 0.4 mm. Inclination, version, and glenoid center point were predicted with an accuracy of 2.4° ± 2.1°, 2.9° ± 2.2°, and 1.8 ± 0.8 mm, respectively.
The SSM-based reconstruction method is able to accurately reconstruct the native glenoid surface and to predict the native anatomic parameters. Based on this outcome, statistical shape modeling can be considered a successful technique for use in the preoperative planning of shoulder arthroplasty.
描述肩盂的固有形态有助于外科医生在术前规划肩部植入物的位置。统计形状模型 (SSM) 可用于虚拟重建肩盂骨缺损，并预测固有肩盂的倾斜度、版本和中心位置。已经开发出一种基于 SSM 的髋臼骨重建方法。本研究的目的是评估基于 SSM 的方法在重建肩盂骨缺损和预测固有解剖参数方面的应用。
首先，基于 66 个健康肩胛骨创建了 SSM。然后，在所有肩胛骨中创建人工骨缺损，并使用基于 SSM 的重建方法进行重建。对于每个骨缺损，将重建表面与原始表面进行比较。此外，将重建表面的倾斜度、版本和肩盂中心点与每个肩胛骨的原始参数进行比较。
对于较小的肩盂骨缺损，健康的肩盂表面用均方根误差 1.2 ± 0.4mm 进行重建。倾斜度、版本和肩盂中心点的预测精度分别为 2.4°±2.1°、2.9°±2.2°和 1.8 ± 0.8mm。
基于 SSM 的重建方法能够准确地重建固有肩盂表面，并预测固有解剖参数。基于这一结果，可以认为统计形状建模是肩部关节置换术术前规划的一种成功技术。
