Farhan Muhannad, Wang Joyce Zhanzi, Lillia Jonathon, Cheng Tegan L, Burns Joshua
Engineering Prototypes & Implants for Children (EPIC) Lab, The Children's Hospital at Westmead, Sydney, New South Wales, Australia.
University of Sydney School of Health Sciences, Faculty of Medicine and Health, Sydney, Australia.
Prosthet Orthot Int. 2023 Dec 1;47(6):625-632. doi: 10.1097/PXR.0000000000000230. Epub 2023 Mar 16.
3D scanning of the foot and ankle is gaining popularity as an alternative method to traditional plaster casting to fabricate ankle-foot orthoses (AFOs). However, comparisons between different types of 3D scanners are limited.
The aim of this study was to evaluate the accuracy and speed of seven 3D scanners to capture foot, ankle, and lower leg morphology to fabricate AFOs.
Repeated-measures design.
The lower leg region of 10 healthy participants (mean age 27.8 years, standard deviation [SD] 9.3) was assessed with 7 different 3D scanners: Artec Eva (Eva), Structure Sensor (SS I), Structure Sensor Mark II (SS II), Sense 3D Scanner (Sense), Vorum Spectra (Spectra), Trnio 3D Scanner App on iPhone 11 (Trnio 11), and Trnio 3D Scanner App on iPhone 12 (Trnio 12). The reliability of the measurement protocol was confirmed initially. The accuracy was calculated by comparing the digital scan with clinical measures. A percentage difference of #5% was considered acceptable. Bland and Altman plots were used to show the mean bias and limit of agreement (LoA) for each 3D scanner. Speed was the time needed for 1 complete scan.
The mean accuracy ranged from 6.4% (SD 10.0) to 230.8% (SD 8.4), with the SS I (21.1%, SD 6.8), SS II (21.7%, SD 7.5), and Eva (2.5%, SD 4.5) within an acceptable range. Similarly, Bland and Altman plots for Eva, SS I, and SS II showed the smallest mean bias and LoA 21.7 mm (LoA 25.8 to 9.3), 21.0 mm (LoA 210.3 to 8.3), and 0.7 mm (LoA 213 to 11.5), respectively. The mean speed of the 3D scanners ranged from 20.8 seconds (SD 8.1, SS I) to 329.6 seconds (SD 200.2, Spectra).
Eva, SS I, and SS II appear to be the most accurate and fastest 3D scanners for capturing foot, ankle, and lower leg morphology, which could be used for AFO fabrication.
足踝部的三维扫描作为一种替代传统石膏模型制作踝足矫形器(AFO)的方法正日益受到欢迎。然而,不同类型三维扫描仪之间的比较有限。
本研究旨在评估七种三维扫描仪在获取足部、踝部和小腿形态以制作AFO方面的准确性和速度。
重复测量设计。
使用7种不同的三维扫描仪对10名健康参与者(平均年龄27.8岁,标准差[SD]9.3)的小腿区域进行评估:Artec Eva(Eva)、Structure Sensor(SS I)、Structure Sensor Mark II(SS II)、Sense 3D Scanner(Sense)、Vorum Spectra(Spectra)、iPhone 11上的Trnio 3D Scanner应用程序(Trnio 11)以及iPhone 12上的Trnio 3D Scanner应用程序(Trnio 12)。首先确认了测量方案的可靠性。通过将数字扫描与临床测量结果进行比较来计算准确性。差异百分比≤5%被认为是可接受的。使用Bland和Altman图展示每种三维扫描仪的平均偏差和一致性界限(LoA)。速度是完成一次完整扫描所需的时间。
平均准确性范围为6.4%(SD 10.0)至230.8%(SD 8.4),其中SS I(21.1%,SD 6.8)、SS II(21.7%,SD 7.5)和Eva(2.5%,SD 4.5)在可接受范围内。同样,Eva、SS I和SS II 的Bland和Altman图分别显示出最小的平均偏差和LoA:21.7毫米(LoA 25.8至9.3)、21.0毫米(LoA 210.3至8.3)和0.7毫米(LoA 213至11.5)。三维扫描仪 的平均速度范围为20.8秒(SD 8.1,SS I)至329.6秒(SD 200.2,Spectra)。
Eva、SS I和SS II似乎是获取足部、踝部和小腿形态最准确、速度最快的三维扫描仪,可用于制作AFO。