KMID : 1144120170070030245
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Biomedical Engineering Letters 2017 Volume.7 No. 3 p.245 ~ p.251
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Application of computer-aided approaches to the PUMC classification of scoliosis
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Zhang Junhua
Li Hongjian Zhang Yufeng
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Abstract
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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.
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KEYWORD
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Computer-aided diagnosis, Scoliosis, Classification, Radiograph
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