Ultrasonography, lateral cephalometry and 3D imaging of the human masseter muscle
Ultrasonography, lateral cephalometry and 3D imaging of the human masseter muscle
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DOI：
10.1111/j.1601-6343.2010.01505.x
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发表时间：
2011-02-01
影响因子：
3.1
通讯作者：
Sampson, W. J.
中科院分区：
文献类型：
--
作者：
Naser-ud-Din, S.;Thoirs, K.;Sampson, W. J.
作者-Naser-Ud-Din S，Thoir K，Sampson WJ旨在建立预测方程，以帮助临床医生从超声(US)和3D成像的非侵入性研究中得出头影测量正常值。设定和抽样人群-来自阿德莱德大学的成人志愿者参与了这项研究。方法-11名志愿者(8名女性，3名男性，年龄22-30岁)被招募进行US和标准侧位片测量，并使用结构光技术进行3D面部成像。这三项检查被用来评估面部的垂直和横向尺寸以及咬肌浅层的尺寸。结果皮尔逊相关系数显示侧位头影测量(Co-GO to R3-R4)与US(体积-厚度)变量之间存在高度显著的相关性(r=0.92p<；0.0001；r=0.95p<；0.0001)。超声测量的Co-Go和咬肌面积与Co-Go和咬肌面积之间也有很强的相关性(p=0.01)。与此相似的是，Go-Me与3D成像的面部宽度之间也有很强的相关性(r=0.83，p=0.003)。与线性测量相比，曲线测量具有很高的统计学意义(p>；0.0001)。因子分析为侧位头影测量变量从3D图像坐标生成的预测方程提供了有意义的相互关系。结论--这项初步调查表明，可以在不重复暴露于电离辐射的情况下收集有用的临床信息，用于治疗计划和随访。对于更稳健的预测方程，将需要更大的样本来验证这样的模型。
Authors - Naser-ud-Din S, Thoirs K, Sampson WJPurpose - To develop prediction equations to assist the clinician to derive cephalometric norms from the non-invasive investigations of ultrasonography (US) and 3D imaging.Setting and Sample Population - Adult volunteers from University of Adelaide participated in the study.Methods - Eleven volunteers (eight women, three men; age range 22-30 years) were recruited for US and standard lateral radiographs measurements along with 3D facial imaging using a structured light technique. The three examinations were performed to assess the vertical and transverse dimensions of the face along with superficial masseter muscle dimensions. In total, 31 variables were statistically analysed for relationship among the three imaging modalities.Results - Pearson's correlation coefficients showed highly significant correlations between lateral cephalometric (Co-Go to R3-R4) and US (volume - thickness) variables (r = 0.92, p < 0.0001; r = 0.95, p < 0.0001, respectively). Strong correlations were also observed with Co-Go and masseter muscle area derived from US r = 0.81 (p = 0.01). Similarly, strong correlations were seen between gonion-menton (Go-me) and facial width from 3D imaging (r = 0.83, p = 0.003). A high statistical significance (p > 0.0001) for curvilinear measurements compared with linear counterparts was revealed with the paired Hest. Factor analyses provided meaningful interrelationships for predictive equations generated for lateral cephalometric variables from 3D image coordinates.Conclusions - This preliminary investigation suggests that useful clinical information for treatment planning and follow-up can be gathered without repeated exposure to ionizing radiation. For more robust predictive equations, a larger sample would be required to validate such a model.