Shinkai Hiroki, Yamamoto Michiro, Tatebe Masahiro, Iwatsuki Katsuyuki, Kurimoto Shigeru, Hirata Hitoshi
Department of Hand Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
PLoS One. 2017 Aug 10;12(8):e0182675. doi: 10.1371/journal.pone.0182675. eCollection 2017.
Hand swelling is one of the symptoms often seen in practice, but none of the available morphometric methods can quickly and efficiently quantify hand volume in an objective manner, and the current gold-standard volume measurement requires immersion in water, which can be difficult to use. Therefore, we aimed to analyze the accuracy of using 3-dimensional (3-D) scanning to measure hand volume. First, we compared the hand volume calculated using the 3-D scanner to that calculated from the conventional method among 109 volunteers to determine the reliability of 3-D measurements. We defined the beginning of the hand as the distal wrist crease, and 3-D forms of the hands were captured by the 3-D scanning system. Second, 238 volunteers (87 men, 151 women) with no disease or history of hand surgery underwent 3-D scanning. Data collected included age, height, weight, and shoe size. The wrist circumference (WC) and the distance between distal wrist crease and tip of middle finger (DDT) were measured. Statistical analyses were performed using linear regression to investigate the relationship between the hand volume and these parameters. In the first study, a significantly strong positive correlation was observed [R = 0.98] between the hand volume calculated via 3-D scanning and that calculated via the conventional method. In the second study, no significant differences between the volumes, WC or DDT of right and left hands were found. The correlations of hand volume with weight, WC, and DDT were strong. We created a formula to predict the hand volume using these parameters; these variables explained approximately 80% of the predicted volume. We confirmed that the new 3-D scanning method, which is performed without touching the hand and can record the form of the hand, yields an accurate volumetric analysis of an asymptomatic hand.
手部肿胀是临床上常见的症状之一,但现有的形态测量方法均无法快速、有效地客观量化手部体积,而目前的金标准体积测量方法需要将手浸入水中,使用起来可能存在困难。因此,我们旨在分析使用三维(3-D)扫描测量手部体积的准确性。首先,我们在109名志愿者中比较了使用3-D扫描仪计算出的手部体积与传统方法计算出的手部体积,以确定3-D测量的可靠性。我们将手部起点定义为腕部远端褶皱处,通过3-D扫描系统获取手部的三维形态。其次,对238名无手部疾病或手术史的志愿者(87名男性,151名女性)进行3-D扫描。收集的数据包括年龄、身高、体重和鞋码。测量腕围(WC)以及腕部远端褶皱与中指指尖之间的距离(DDT)。使用线性回归进行统计分析,以研究手部体积与这些参数之间的关系。在第一项研究中,通过3-D扫描计算出的手部体积与通过传统方法计算出的手部体积之间观察到显著的强正相关[R = 0.98]。在第二项研究中,未发现左右手在体积、WC或DDT方面存在显著差异。手部体积与体重、WC和DDT之间的相关性很强。我们创建了一个使用这些参数预测手部体积的公式;这些变量解释了大约80%的预测体积。我们证实,这种新的3-D扫描方法无需接触手部即可进行,并且能够记录手部形态,可对手部无症状时进行准确的体积分析。