PCA Calculation Based on Multiplane Two-Dimensional Computed Tomography Sliding Measurement in Preoperative Total Knee Arthroplasty Planning.

IF 0.9
Zeitschrift fur Orthopadie und Unfallchirurgie Pub Date : 2026-10-01 Epub Date: 2026-03-30 DOI:10.1055/a-2811-2115
Yuandong Liu, Yinong Chang, Kun Liu, Zhibo Zhang, Jidong Xie, Donglin Fu, Zongqing Fan
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Abstract

Background: Various osteotomy measurement techniques to assess the posterior condylar angle (PCA) are utilized in total knee arthroplasty (TKA). However, the most accurate method remains unclear. This study made use of preoperative two-dimensional (2D) computed tomography (CT) images to measure the PCA and integrated three-dimensional (3D) printing technology for in vitro verification and to improve preoperative planning of osteotomy measurement techniques in TKA.

Patients and methods: A retrospective study was conducted involving a limited cohort of 10 patients diagnosed with knee osteoarthritis. These patients underwent three-dimensional CT reconstruction of the knee joint using a medical 3D model. This study employed three distinct methodologies to measure the PCA. The first method involved single-plane 2D CT measurement, which provides a clear assessment of the posterior femoral condyle axis line (PCAL) and the surgical epicondylar axis (sTEA) of the femur. The second method utilized multiplane 2D CT with continuous plane sliding positioning to identify both the PCAL and sTEA when measuring PCA. The third method incorporated a 3D printing model whereby a solid model of the patient's distal femur was fabricated using 3D printing technology. In this approach, the PCAL and sTEA were marked using in vitro Kirschner wires, followed by CT scans of the marked femur. The PCA was subsequently measured based on the positioning of the Kirschner wires, with the PCA obtained from the 3D printed model considered the reference standard. The accuracy and consistency of PCA measurements obtained from different CT planes were evaluated using paired sample t-tests and intraclass correlation coefficients (ICC).

Results: In the single-plane 2D CT measurement group, the PCA value was 1.33 ± 0.50° (0.83-2.1°, 95% CI: 0.97-1.69°) with a measurement error of -0.84 ± 1.12° (-3.24-0.87°, 95% CI: -1.64--0.04°) and an outlier rate of 10%. In the multiplane 2D CT sliding measurement group, the PCA value was 1.61 ± 0.38° (1.13-2.32°, 95% CI: 1.34-1.88°) with a measurement error of -0.56 ± 1.09° (-2-1.6°, 95% CI: -1.34-0.22°) and no abnormal values were detected. The PCA measurement value for the 3D printed model group was 2.17 ± 1.16° (0.23-4.01°, 95% CI: 1.34-3.00°). The PCA measurement values in the single-plane 2D CT group were significantly lower than those in both the multiplane 2D CT sliding measurement group and the 3D printed model group, with no significant difference observed between the latter two groups. Moreover, the measurement error and outlier rates in the multiplane 2D CT sliding measurement group were significantly lower than those in the single-plane 2D CT group. The PCA measurements in the single-plane 2D CT group exhibited moderate repeatability (ICC: 0.507-0.641) while those in the multiplane 2D CT sliding group demonstrated high consistency (ICC: 0.840-0.940).

Conclusions: The utilization of multiplane 2D CT sliding measurements to assess the PCA during preoperative measurement and osteotomy planning for TKA demonstrates high accuracy and repeatability. We recommend employing this method prior to surgery to determine the rotational positioning of the femoral prosthesis during osteotomy and improve the precision of the rotational alignment of the femoral prosthesis.

基于多平面二维ct滑动测量的PCA计算在全膝关节置换术术前规划中的应用。
各种截骨测量技术评估后髁角(PCA)被用于全膝关节置换术(TKA)。然而,最准确的方法尚不清楚。本研究利用术前二维(2D)计算机断层扫描(CT)图像测量PCA,并集成三维(3D)打印技术进行体外验证,改进TKA截骨测量技术的术前规划。一项回顾性研究涉及10例诊断为膝骨关节炎的患者。这些患者使用医学三维模型对膝关节进行三维CT重建。本研究采用三种不同的方法来测量PCA。第一种方法是单平面二维CT测量,它提供了股骨后髁轴线(PCAL)和手术上髁轴(sTEA)的清晰评估。第二种方法是利用多平面二维CT连续平面滑动定位,在测量PCA时同时识别PCAL和sTEA。第三种方法采用3D打印模型,利用3D打印技术制作患者远端股骨的实体模型。在这种方法中,使用体外克氏针标记PCAL和sTEA,然后对标记的股骨进行CT扫描。随后根据克氏针的定位测量PCA,并将3D打印模型得到的PCA作为参考标准。采用配对样本t检验和类内相关系数(ICC)评估不同CT平面PCA测量值的准确性和一致性。单平面二维CT测量组PCA值为1.33±0.50°(0.83 ~ 2.1°,95% CI: 0.97 ~ 1.69°),测量误差为-0.84±1.12°(-3.24 ~ 0.87°,95% CI: -1.64 ~ 0.04°),异常率为10%。多平面二维CT滑动测量组PCA值为1.61±0.38°(1.13 ~ 2.32°,95% CI: 1.34 ~ 1.88°),测量误差为-0.56±1.09°(-2 ~ 1.6°,95% CI: -1.34 ~ 0.22°),未检出异常值。3D打印模型组PCA测量值为2.17±1.16°(0.23-4.01°,95% CI: 1.34-3.00°)。单平面二维CT组PCA测量值均显著低于多平面二维CT滑动测量组和3D打印模型组,后两组间差异无统计学意义。此外,多平面二维CT滑动测量组的测量误差和异常率明显低于单平面二维CT组。单平面二维CT组PCA测量具有中等重复性(ICC: 0.507-0.641),而多平面二维CT滑动组PCA测量具有高一致性(ICC: 0.840-0.940)。在TKA术前测量和截骨计划中,利用多平面二维CT滑动测量来评估PCA具有较高的准确性和可重复性。我们建议在手术前采用这种方法来确定截骨术中股骨假体的旋转定位,并提高股骨假体旋转对准的精度。
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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