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Validity of an automatic measure protocol in distal femur for allograft selection from a three-dimensional virtual bone bank system

机译:自动测量方案在股骨远端从三维虚拟骨库系统中选择同种异体移植的有效性

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Osteoarticular allograft is one possible treatment in wide surgical resections with large defects. Performing best osteoarticular allograft selection is of great relevance for optimal exploitation of the bone databank, good surgery outcome and patient's recovery. Current approaches are, however, very time consuming hindering these points in practice. We present a validation study of a software able to perform automatic bone measurements used to automatically assess the distal femur sizes across a databank. 170 distal femur surfaces were reconstructed from CT data and measured manually using a size measure protocol taking into account the transepicondyler distance (A), anterior-posterior distance in medial condyle (B) and anterior-posterior distance in lateral condyle (C). Intra- and inter-observer studies were conducted and regarded as ground truth measurements. Manual and automatic measures were compared. For the automatic measurements, the correlation coefficients between observer one and automatic method, were of 0.99 for A measure and 0.96 for B and C measures. The average time needed to perform the measurements was of 16 h for both manual measurements, and of 3 min for the automatic method. Results demonstrate the high reliability and, most importantly, high repeatability of the proposed approach, and considerable speed-up on the planning.
机译:同种异体骨关节移植术是一种广泛的,有较大缺陷的外科手术切除术。进行最佳的同种异体骨移植选择与最佳利用骨骼数据库,良好的手术结果和患者的康复息息相关。然而,当前的方法非常耗时,从而在实践中阻碍了这些观点。我们介绍了一项能够执行自动骨骼测量的软件的验证研究,该软件用于自动评估整个数据库的股骨远端大小。从CT数据重建170个股骨远端表面,并使用尺寸测量方案进行手动测量,同时考虑跨上皮距离(A),内侧con的前后距离(B)和外侧con的前后距离(C)。进行了观察者内部和观察者之间的研究,并将其视为基本事实测量。比较了手动和自动措施。对于自动测量,观察者1和自动方法之间的相关系数对于A量度为0.99,对于B和C量度为0.96。两次手动测量所需的平均时间为16小时,自动方法平均为3分钟。结果表明,该方法具有很高的可靠性,最重要的是,具有很高的可重复性,并且大大加快了规划速度。

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