机构：[1]Department of Electronic Engineering, Yunnan University, No. 2 Cuihu Road, Kunming 650091, China[2]Department of Orthopedics, the First People’s Hospital of Yunnan Province, Kunming 650032, China外科片骨科云南省第一人民医院
Surgical planning for scoliosis relies on the classification of the spinal curve pattern. To improve the reliability of the Peking Union Medical College (PUMC) classification system for scoliotic spinal curves, a computer- aided system is proposed and its reliability is evaluated. First, the reliability of curve measurements was improved by the computer-aided Cobb measurement approach. Second, judgmental errors were reduced by the computer program through the automation of the PUMC classification procedure. Four observers divided into an expert group and a resident group participated in the experiments. The kappa statistic was used to evaluate the variability. Classifications of 65 scoliotic cases by the four observers showed that with the computer's aid, the average intraobserver and interobserver kappa values were improved from 0.86 to 0.93 and from 0.75 to 0.86, respectively. The results indicate that the proposed computerized system can assist a surgeon in the PUMC classification of scoliosis and is especially useful for inexperienced surgeons.
基金：
Natural Science Foundation of China under Grants
61002049 and 61361010, and from the Key Program of the Yunnan
Natural Science Foundation under Grant 2013FA008.
第一作者机构：[1]Department of Electronic Engineering, Yunnan University, No. 2 Cuihu Road, Kunming 650091, China
通讯作者：
推荐引用方式(GB/T 7714)：
Zhang Junhua,Li Hongjian,Zhang Yufeng.Application of computer-aided approaches to the PUMC classification of scoliosis[J].BIOMEDICAL ENGINEERING LETTERS.2017,7(3):245-251.doi:10.1007/s13534-017-0022-7.
APA：
Zhang, Junhua,Li, Hongjian&Zhang, Yufeng.(2017).Application of computer-aided approaches to the PUMC classification of scoliosis.BIOMEDICAL ENGINEERING LETTERS,7,(3)
MLA：
Zhang, Junhua,et al."Application of computer-aided approaches to the PUMC classification of scoliosis".BIOMEDICAL ENGINEERING LETTERS 7..3(2017):245-251
