Establishing Confidence Intervals for Normal Radiographic Intracarpal Alignment Throughout the Arc of Wrist Motion: A Cadaveric Pilot Study.

IF 1.8 Q2 ORTHOPEDICS
HAND Pub Date : 2025-03-01 Epub Date: 2023-11-28 DOI:10.1177/15589447231213382
Sean P Renfree, Nan Zhang, Kevin J Renfree
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引用次数: 0

Abstract

Background: High-quality lateral radiographs with the wrist in neutral (0°) or near neutral (less than 15° flexion or extension) are felt to be important for diagnosing carpal instability using intracarpal angular measurements, but may be unavailable. In addition, radiolunate (RLA) and capitolunate (CLA) measurement angles for defining carpal instability have poor validation. We sought to establish 95% confidence intervals (CIs) for predicted RLA and CLA throughout the arc of wrist motion in normal cadaveric wrists.

Methods: Fresh frozen cadaveric upper extremities were secured in a limb positioner. Scaphopisocapitate lateral radiographs were obtained throughout the arc of motion and RLA and CLA, and wrist flexion or extension angles (WA) were measured by a board-certified hand surgeon. Scatter plots of variables were constructed, and correlation coefficients calculated for areas under the curves. Regression equations for predicted RLA and CLA based on WA were developed.

Results: Both RLA and CLA correlated strongly with WA for each measurement in both flexion and extension (r = 0.7-0.8). Linear regression modeling demonstrated a good relationship between RLA (R2 = 84%) and CLA (R2 = 80%) with WA. Regression equations were constructed to give predicted values for RLA and CLA based on WA and 95% prediction CI.

Conclusions: If RLA and CLA exceed 20° with neutral (0°) wrist alignment, it likely represents pathologic carpal alignment. Presented tables demonstrate 95% CI of RLA and CLA throughout the arc of wrist flexion/extension. Values outside of the 95% CI are also likely to indicate pathologic carpal alignment.

在整个手腕运动弧线中建立正常的胸片腕内对齐的置信区间:一项尸体试验研究。
背景:高质量的侧位x线片,腕关节处于中立(0°)或接近中立(屈曲或伸展小于15°),被认为是通过腕关节内角度测量诊断腕关节不稳定的重要方法,但可能无法获得。此外,放射月形(RLA)和头月形(CLA)测量角度用于定义腕关节不稳定性的有效性较差。我们试图建立95%可信区间(ci)来预测正常尸体手腕在整个手腕运动弧度中的RLA和CLA。方法:将新鲜冰冻尸体上肢固定在肢体定位器内。肩胛头侧位片在整个运动弧线和RLA和CLA中获得,手腕屈伸角(WA)由委员会认证的手外科医生测量。构建变量的散点图,计算曲线下面积的相关系数。建立了基于WA的预测RLA和CLA的回归方程。结果:RLA和CLA与WA在屈曲和伸展时的每一次测量都有很强的相关性(r = 0.7-0.8)。线性回归模型表明,RLA (R2 = 84%)和CLA (R2 = 80%)与WA之间存在良好的关系。建立回归方程,根据WA和95%预测CI给出RLA和CLA的预测值。结论:如果RLA和CLA超过20°并伴有中性腕线(0°),则可能是病理性腕线。表中显示在整个腕关节屈伸弧度中RLA和CLA的95% CI。95% CI以外的值也可能表明病理性腕线。
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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来源期刊
HAND
HAND Medicine-Surgery
CiteScore
3.30
自引率
0.00%
发文量
209
期刊介绍: HAND is the official journal of the American Association for Hand Surgery and is a peer-reviewed journal featuring articles written by clinicians worldwide presenting current research and clinical work in the field of hand surgery. It features articles related to all aspects of hand and upper extremity surgery and the post operative care and rehabilitation of the hand.
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