Le Bras A, Laporte S, Bousson V, Mitton D, De Guise J A, Laredo J D, Skalli W
Laboratoire de BioMécanique ENSAM/CNRS UMR 8005/Paris France.
Comput Aided Surg. 2004;9(3):51-7. doi: 10.3109/10929080400018122.
Accurate three-dimensional (3D) geometry of the proximal femur may be helpful for fracture risk evaluation, as well as for planning and assisting surgical procedures. The purpose of this study was to apply and validate a stereoradiographic 3D reconstruction method on the proximal femur from radiographic contours identified on bi-planar radiographs.
Twenty-five excised non-pathologic proximal femurs were investigated using a low-dose digital radiographic device. Three-dimensional personalized models were reconstructed using the Non-Stereo Corresponding Contours (NSCC) algorithm. Three-dimensional CT-scan reconstructions were defined as geometric references for the comparison protocol, in order to assess the accuracy and reproducibility of the personalized 3D stereoradiographic reconstructions. In addition, the reliability of a set of 3D parameters obtained from stereoradiographic models was evaluated.
This study demonstrated the validity of the NSCC method when applied to the proximal femur, with good results for accuracy (mean error = 0.7 mm) and reproducibility (Wilcoxon test: p > 0.28). Moreover, a precision study for the set of 3D parameters yielded a coefficient of variation lower than 5%.
Once this approach has been validated in vivo, it should find multiple applications in therapeutic fields (e.g., for surgical planning, computer assisted surgery, etc.), as well as in diagnostic contexts (e.g., equilibrium studies or osteoporosis fracture risk assessment).
准确的股骨近端三维(3D)几何结构可能有助于骨折风险评估,以及手术程序的规划和辅助。本研究的目的是应用并验证一种基于双平面X线片上识别出的X线轮廓的股骨近端立体X线摄影三维重建方法。
使用低剂量数字X线摄影设备对25个切除的非病理性股骨近端进行研究。使用非立体对应轮廓(NSCC)算法重建三维个性化模型。将三维CT扫描重建定义为比较方案的几何参考,以评估个性化三维立体X线摄影重建的准确性和可重复性。此外,还评估了从立体X线摄影模型获得的一组三维参数的可靠性。
本研究证明了NSCC方法应用于股骨近端时的有效性,在准确性(平均误差 = 0.7毫米)和可重复性(Wilcoxon检验:p > 0.28)方面均取得了良好结果。此外,对该组三维参数的精度研究得出变异系数低于5%。
一旦这种方法在体内得到验证,它应该会在治疗领域(例如手术规划、计算机辅助手术等)以及诊断环境(例如平衡研究或骨质疏松性骨折风险评估)中找到多种应用。