Chen Lili, Lan Zhicong, Xu Xiangyang, Lin Jiuxiang, Hu Huaifei
Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Key Laboratory of Education Ministry for Image Processing and Intelligent Control, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430071, China.
J Huazhong Univ Sci Technolog Med Sci. 2012 Feb;32(1):119-123. doi: 10.1007/s11596-012-0021-y. Epub 2012 Jan 27.
The accuracy and repeatability of computer aided cervical vertebra landmarking (CACVL) were investigated in cephalogram. 120 adolescents (60 boys, 60 girls) aged from 9.1 to 17.2 years old were randomly selected. Twenty-seven landmarks from the second to fifth cervical vertebrae on the lateral cephalogram were identified. In this study, the system of CACVL was developed and used to identify and calculate the landmarks by fast marching method and parabolic curve fitting. The accuracy and repeatability in CACVL group were compared with those in two manual landmarking groups [orthodontic experts (OE) group and orthodontic novices (ON) group]. The results showed that, as for the accuracy, there was no significant difference between CACVL group and OE group no matter in x-axis or y-axis (P>0.05), but there was significant difference between CACVL group and ON group, as well as OE group and ON group in both axes (P<0.05). As for the repeatability, CACVL group was more reliable than OE group and ON group in both axes. It is concluded that CACVL has the same or higher accuracy, better repeatability and less workload than manual landmarking methods. It's reliable for cervical parameters identification on the lateral cephalogram and cervical vertebral maturation prediction in orthodontic practice and research.
在头影测量中研究了计算机辅助颈椎标志点定位(CACVL)的准确性和可重复性。随机选取120名年龄在9.1至17.2岁之间的青少年(60名男孩,60名女孩)。在头颅侧位片上确定了第二至第五颈椎的27个标志点。在本研究中,开发了CACVL系统,并使用快速行进法和抛物线曲线拟合来识别和计算标志点。将CACVL组的准确性和可重复性与两个手动标志点定位组[正畸专家(OE)组和正畸新手(ON)组]进行比较。结果表明,在准确性方面,CACVL组与OE组在x轴或y轴上均无显著差异(P>0.05),但CACVL组与ON组以及OE组与ON组在两个轴上均有显著差异(P<0.05)。在可重复性方面,CACVL组在两个轴上比OE组和ON组更可靠。结论是,与手动标志点定位方法相比,CACVL具有相同或更高的准确性、更好的可重复性和更少的工作量。它对头影测量中颈椎参数的识别以及正畸临床实践和研究中的颈椎成熟度预测是可靠的。