Guvenc Busra, Kuru Cigdem Ayhan, Namaldi Seda, Kuru Ilhami
Priviate Physiotherapy Clinic, Bursa, Turkey.
Faculty of Physical Therapy and Rehabilitation, Hacettepe University, Ankara, Turkey.
J Hand Ther. 2025 Jan-Mar;38(1):103-112. doi: 10.1016/j.jht.2024.05.001. Epub 2024 Aug 31.
Various virtual goniometers have been used for photographic measurements. However, there is no single method that is both reliable and valid for measuring the forearm, wrist, and finger joints.
This study aimed to investigate the criterion validity and intra- and inter-rater reliability of a virtual goniometer for assessing forearm, wrist, and finger joints using screenshots from video recordings and to calculate the standard error of measurement (SEM) and minimum detectable change (MDC).
This is a clinical measurement study.
Goniometric measurements were performed independently by two observers in 26 healthy participants (49 hands) using a virtual goniometer. Criterion validity was assessed by examining the agreement between virtual and manual goniometer measurements. Reliability was calculated using the intraclass correlation coefficient (ICC) to assess agreement between virtual and manual goniometers and interobserver agreement for virtual measurements. The difference between measurements was analyzed using the Student test and Bland-Altman plots. SEM and MDC were both used to determine the error associated with the measurements.
Strong agreement between measurements (ICC = 0.69-0.98) and positive moderate to high correlation (r = 0.52-0.96; p < 0.001) were observed. Bland-Altman plots showed the agreement between the two measurement methods. Intra-rater (ICC = 0.80-0.99) and inter-rater reliability (ICC = 0.76-0.99) were high. SEM was low (2°-4°) and MDC ranged from 4°-12°.
The virtual goniometer proved to be a valid and reliable method for measuring joint angles from screenshots. The inter-rater and intra-rater reliability of the virtual goniometer was high. The average bias between the virtual and manual goniometer was small. Measurement errors were low for forearm, wrist, and hand movements, with the largest measurement errors observed for the second and third fingers.
各种虚拟测角仪已用于摄影测量。然而,尚无一种既可靠又有效的方法可用于测量前臂、腕关节和手指关节。
本研究旨在探讨一种虚拟测角仪的标准效度以及评估者内和评估者间的可靠性,该虚拟测角仪使用视频记录的截图来评估前臂、腕关节和手指关节,并计算测量标准误(SEM)和最小可检测变化(MDC)。
这是一项临床测量研究。
两名观察者使用虚拟测角仪对26名健康参与者(49只手)独立进行测角测量。通过检查虚拟测角仪和手动测角仪测量结果之间的一致性来评估标准效度。使用组内相关系数(ICC)计算可靠性,以评估虚拟测角仪和手动测角仪之间的一致性以及虚拟测量的观察者间一致性。使用学生检验和布兰德-奥特曼图分析测量结果之间的差异。SEM和MDC均用于确定与测量相关的误差。
观察到测量结果之间有很强的一致性(ICC = 0.69 - 0.98)以及正的中度到高度相关性(r = 0.52 - 0.96;p < 0.001)。布兰德-奥特曼图显示了两种测量方法之间的一致性。评估者内(ICC = 0.80 - 0.99)和评估者间可靠性(ICC = 0.76 - 0.99)都很高。SEM较低(2° - 4°),MDC范围为4° - 12°。
事实证明,虚拟测角仪是一种从截图测量关节角度的有效且可靠的方法。虚拟测角仪的评估者间和评估者内可靠性都很高。虚拟测角仪和手动测角仪之间的平均偏差很小。前臂、腕关节和手部运动的测量误差较低,第二和第三手指的测量误差最大。