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全髋关节置换术的术前模板制作:一种利用患者人口统计学数据和人体测量学指标校准数字X线片的方法。

Preoperative Templating for Total Hip Arthroplasty: A Method for Calibrating Digital Radiographs Using Patient Demographics and Anthropometric Measurements.

作者信息

Attwood Joseph, Banks Philippa, Sidhom Adam, Pandit Hemant, Sidhom Sameh, van Duren Bernard

机构信息

Trauma and Orthopaedics, Huddersfield Royal Infirmary, Huddersfield, GBR.

Orthopaedics, Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, GBR.

出版信息

Cureus. 2023 Oct 25;15(10):e47668. doi: 10.7759/cureus.47668. eCollection 2023 Oct.

Abstract

Background Preoperative templating aids the surgeon in estimating implant size and placement. Calibration markers are used to set the correct magnification of digital images before templating. Improper marker placement or complete absence can lead to inaccuracy or an inability to calibrate images altogether. Aims This study describes a method for calibrating images using a patient's femoral head size (FHS) predicted using demographics and anthropometric data. Materials and methods A formula predicting the FHS was derived from a cohort of 507 patients who underwent hemiarthroplasty for an intracapsular fractured neck of the femur through multivariate regression analysis. A separate validation cohort (n=50) who had undergone total hip arthroplasty (THA) had postoperative radiographs calibrated using the predicted FHS and the native contralateral hip as a surrogate calibration marker. The THA femoral head implant size was subsequently measured and compared with the actual implant size selected intraoperatively. Measurements were performed by two independent assessors to determine intra- and interobserver reliability. Results Multivariate regression analyses showed four variables significantly correlated with the size of the femoral head: gender (p < 0.001), height (p < 0.001), weight (p < 0.001), and race (Asian) (p = 0.01). Using these, a regression model to predict the FHS was obtained with an R value of 0.65 and a standard error of 2.18 mm. The validation cohort showed that THA head implant size could be accurately measured with an average root-mean-squared error (RMSE) of 1.41 mm (SD = 0.97 mm; %RMSE = 4.7%). The implant head size was measured to be within 5%, 10%, and 15% RMSE in 57.5%, 93.0%, and 100.0% of cases, respectively. There was excellent intraobserver (R = 0.94 and 0.95) and interobserver (R = 0.94) reliability. Conclusions The novel method proposed and validated in this study, using a predicted FHS to calibrate digital images, provides an alternative means of templating THA for fractured neck of the femur patients, in whom external calibration markers are often absent.

摘要

背景

术前模板制作有助于外科医生估计植入物的大小和位置。校准标记用于在模板制作前设置数字图像的正确放大倍数。标记放置不当或完全缺失会导致不准确或根本无法校准图像。目的:本研究描述了一种使用通过人口统计学和人体测量数据预测的患者股骨头大小(FHS)来校准图像的方法。材料和方法:通过多变量回归分析,从507例因股骨颈囊内骨折接受半髋关节置换术的患者队列中得出预测FHS的公式。一个单独的接受全髋关节置换术(THA)的验证队列(n = 50),使用预测的FHS和对侧天然髋关节作为替代校准标记对术后X光片进行校准。随后测量THA股骨头植入物的大小,并与术中选择的实际植入物大小进行比较。由两名独立评估人员进行测量,以确定观察者内和观察者间的可靠性。结果:多变量回归分析显示,有四个变量与股骨头大小显著相关:性别(p < 0.001)、身高(p < 0.001)、体重(p < 0.001)和种族(亚洲人)(p = 0.01)。利用这些变量,获得了一个预测FHS的回归模型,R值为0.65,标准误差为2.18毫米。验证队列表明,THA股骨头植入物大小可以准确测量,平均均方根误差(RMSE)为1.41毫米(标准差 = 0.97毫米;%RMSE = 4.7%)。分别在57.5%、93.0%和100.0%的病例中,测量的植入物头部大小在RMSE的5%、10%和15%以内。观察者内(R = 0.94和0.95)和观察者间(R = 0.94)的可靠性都非常好。结论:本研究中提出并验证的新方法,即使用预测的FHS校准数字图像,为股骨颈骨折患者的THA模板制作提供了一种替代方法,这类患者通常没有外部校准标记。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/827f/10667944/c690c9de63c4/cureus-0015-00000047668-i01.jpg

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