Validation of an automatic three-dimensional method for distal radius measurements and malunion quantification.

Rémy Winter, Thibault Poujade, Brieuc Monin, Chloé Viricel, Nicolas Bronsard, Patrick Chabrand, Marc-Olivier Gauci
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Abstract

Preoperative CT measurements of distal radial inclination and volar tilt are useful for surgical planning, but current methods are time-consuming and user-dependent. This study validates an automated 3D measurement method for these measurements. We analysed 20 bilateral CT scans, including healthy and pathological sides with extra-articular malunions. Three senior observers performed manual measurements and an automated algorithm generated measurements based on the radiocarpal surface. Agreement between manual and automatic methods was evaluated using concordance correlation coefficients and Bland-Altman analysis, with acceptable agreement set at 5° for the coefficient of repeatability. Correction quantification accuracy was assessed by comparing each method to a reference method. The mean difference in radial inclination between the automatic and manual methods was -6° and for volar tilt was -2.6°. The automated method showed closer correction agreement with the reference, enhancing reproducibility and saving time in preoperative planning.Level of evidence: III.

远端半径测量和畸形定量的自动三维方法的验证。
术前CT测量远端桡骨倾斜度和掌侧倾斜度对手术计划有用,但目前的方法耗时且依赖于用户。本研究验证了一种用于这些测量的自动3D测量方法。我们分析了20个双侧CT扫描,包括关节外畸形的健康侧和病理侧。三名高级观察员进行了手动测量和基于桡腕关节表面的自动算法生成的测量。使用一致性相关系数和Bland-Altman分析评估手动和自动方法之间的一致性,可接受的一致性设置为重复性系数5°。通过将每种方法与参考方法进行比较,评估校正定量精度。自动和手动方法的径向倾角平均差值为-6°,掌侧倾角平均差值为-2.6°。自动化方法与参考文献的校正一致性更强,提高了重复性,节省了术前计划的时间。证据水平:III。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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