Department of Orthopaedic Surgery, Lampang Hospital and Medical Education Center, Lampang, Thailand.
Clin Orthop Relat Res. 2023 Jun 1;481(6):1104-1113. doi: 10.1097/CORR.0000000000002474. Epub 2022 Nov 18.
Digital templating is a standard preoperative planning method in THA. Unfortunately, many hospitals cannot afford the software or have accessibility barriers owing to a limited number of installed computer workstations. We created a templating method using a picture archiving and communication system and the Keynote program on a mobile phone. The method's accuracy and reliability have not been compared with those of commercial digital templating software.
QUESTIONS/PURPOSES: (1) How accurate is this novel method on iPhone and iPad mobile devices compared with a commercially available digital templating software program? (2) Is the method reproducible among users with different levels of experience? (3) Are the results similar for different types of femoral prostheses?
Between January 2017 and May 2020, we treated 209 patients for hip disease or trauma with primary cementless THA. We considered patients with a normal contralateral hip as potentially eligible for this retrospective study. Thus, 91% (191 of 209 hips) were eligible; a further 13% (27 hips) were excluded because of postoperative leg length discrepancy > 5 mm, femoral offset discrepancy > 5 mm (9% [18 hips]), intraoperative periprosthetic fracture (4% [eight hips]), and proximal femoral deformity (0.5% [one hip]), leaving 78% (164 hips) for analysis here. Their preoperative radiographs were evaluated by three independent assessors, including one senior orthopaedic surgeon, one senior resident, and one junior resident, using three methods. The first was digital templating using OrthoView software, which is a commercially available digital templating software program used worldwide and known to possess high accuracy. The other two methods were technically similar to one another, with the only difference being the interface: iPhone versus iPad. In both of those approaches, using the picture archiving and communication system measurement tool, we drew a circle on an acetabular radiograph to depict the cup. We took a photograph of the computer display and imported the photograph into slides of the Keynote program, a presentation software application for Mac computers, on both devices. It was then underlaid on transparent digital templates of the femoral stem, which were scanned from plastic templates and positioned at the center of each slide. We scaled the image to the template by adjusting the image size until a 15-cm straight line on the hip photograph was equal to the 15-cm scale markers of the template. All templating results were compared with the actual implanted cementless THA components to assess accuracy. All assessors were blinded to the information about the actual implants, and they were not involved in performing the surgical procedures. The intrarater and interrater reliabilities were analyzed using intraclass correlation coefficients and kappa values. The accuracy for predicting stem size for each type of the four stem designs was compared among the three methods.
We were able to predict the acetabular cup size within one size in 92% of hips (151 of 164) using OrthoView and in 92% (150 of 164) using the novel method (p > 0.99). The accuracies of the three methods were comparable for predicting a femoral stem size within one size (OrthoView: 90% [148 hips], iPhone: 93% [152 hips], and iPad: 91% [149 hips]; p = 0.78), and neck length (OrthoView: 96% [157 hips], iPhone: 96% [158 hips], and iPad: 97% [159 hips]; p = 0.95). Using OrthoView, the neck offset was correctly predicted in 80% (132 hips), compared to 85% (139 hips) when using the iPhone and 82% (134 hips) when using the iPad (p = 0.57). All methods showed substantial or excellent agreement regarding intrarater and interrater reliability. There was no difference in accuracy regarding any of the four femoral stem designs we evaluated (Avenir, Excia, ML taper, and Metha).
The digital templating technique for THA using an iPhone or iPad combined with a picture archiving and communication system demonstrated high accuracy, comparable to that of commercial digital templating software. This technique is reliable and reproducible for predicting a cementless prosthesis size, neck length, and offset in different types of femoral stems. It may be useful as an alternative in resource-constrained centers where commercial software programs are too expensive to be used in practice.
Level IV, diagnostic study.
数字化模板是全髋关节置换术(THA)术前规划的标准方法。不幸的是,由于安装的计算机工作站数量有限,许多医院无法负担软件费用或存在使用障碍。我们创建了一种使用图片存档与通信系统(PACS)和移动电话上的 Keynote 程序的模板制作方法。该方法的准确性和可靠性尚未与商业数字化模板软件进行比较。
问题/目的:(1)与商业数字化模板软件程序相比,使用 iPhone 和 iPad 移动设备的这种新方法的准确性如何?(2)该方法在不同经验水平的用户之间是否具有可重复性?(3)对于不同类型的股骨假体,结果是否相似?
在 2017 年 1 月至 2020 年 5 月期间,我们对 209 例髋部疾病或创伤患者进行了初次非骨水泥 THA。我们认为,正常对侧髋部的患者可能有资格参加这项回顾性研究。因此,91%(191/209 髋)符合条件;进一步的 13%(27 髋)因术后下肢长度差异>5mm、股骨偏心距差异>5mm(9%[18 髋])、术中假体周围骨折(4%[8 髋])和近端股骨畸形(0.5%[1 髋])而被排除在外,因此,这里可对 78%(164 髋)进行分析。对他们的术前 X 线片进行了三位独立评估者(一位骨科资深医师、一位资深住院医师和一位初级住院医师)的评估,使用三种方法进行评估。第一种是使用 OrthoView 软件进行数字化模板制作,这是一种全球范围内使用的商业数字化模板软件程序,已知具有很高的准确性。另外两种方法在技术上彼此相似,唯一的区别在于界面:iPhone 与 iPad。在这两种方法中,我们使用 PACS 测量工具在髋臼 X 线片上画一个圆圈来描绘髋臼杯。我们拍摄计算机显示器的照片,并将照片导入 Keynote 程序的幻灯片中,Keynote 程序是一款用于 Mac 计算机的演示软件应用程序,在这两种设备上都可以使用。然后,将其覆盖在从塑料模板扫描并放置在每张幻灯片中央的股骨柄透明数字模板上。我们通过调整图像大小来调整图像大小,直到髋部照片上的 15cm 直线与模板上的 15cm 刻度标记相等,从而对模板进行缩放。所有模板制作结果均与实际植入的非骨水泥 THA 组件进行比较,以评估准确性。所有评估者均对实际植入物的信息不知情,且他们未参与手术操作。使用组内相关系数和kappa 值分析了内部和外部评估者的可靠性。比较了三种方法预测四种柄设计类型中每种类型的柄尺寸的准确性。
我们能够使用 OrthoView 在 92%(151/164)的髋部中准确预测髋臼杯的尺寸,在 92%(150/164)的髋部中使用新型方法准确预测髋臼杯的尺寸(p>0.99)。三种方法预测股骨柄尺寸在一个尺寸内的准确性相当(OrthoView:90%[148 髋],iPhone:93%[152 髋],iPad:91%[149 髋];p=0.78),预测颈长的准确性也相当(OrthoView:96%[157 髋],iPhone:96%[158 髋],iPad:97%[159 髋];p=0.95)。使用 OrthoView,正确预测颈偏移的比例为 80%(132 髋),而使用 iPhone 为 85%(139 髋),使用 iPad 为 82%(134 髋)(p=0.57)。所有方法在内部和外部评估者的可靠性方面均表现出高度或极好的一致性。我们评估的四种股骨柄设计(Avenir、Excia、ML 锥度和 Metha)之间没有任何一种方法在准确性方面存在差异。
使用 iPhone 或 iPad 结合 PACS 的 THA 数字化模板制作技术具有很高的准确性,与商业数字化模板软件相当。该技术可靠且可重复,可用于预测不同类型股骨柄的非骨水泥假体尺寸、颈长和颈偏移。在商业软件程序过于昂贵而无法在实践中使用的资源有限的中心,它可能是一种有用的替代方法。
IV 级,诊断研究。