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A Computer-aided Method for Improving the Reliability of Lenke Classification for Scoliosis

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机构: [1]Department of Electronic Engineering, Yunnan University, China [2]Department of Orthopedics,the First People’s Hospital of Yunnan Province, China [3]Department of Radiology, the First People’s Hospital of Yunnan Province, China
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关键词: Lenke classification scoliosis radiograph computer-aided diagnosis

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Classification of the spinal curve pattern is crucial for assessment and treatment of scoliosis. We developed a computer-aided system to improve the reliability of three components of the Lenke classification. The system semi-automatically measured the Cobb angles and identified the apical lumbar vertebra and its pedicles on digitized radiographs. The system then classified the curve type, lumbar modifier, and thoracic sagittal modifier of the Lenke classification based on the computerized measurements and identifications. The system was tested by five operators for 62 scoliotic cases. The kappa statistic was used to assess the reliability. With the aid of computer, the average intra- and interobserver kappa values were improved to 0.89 and 0.81 for the curve type, to 0.83 and 0.81 for the lumbar modifier, and to 0.94 and 0.92 for the sagittal modifier of the Lenke classification, respectively, relative to the classification by two of the operators without the aid of computer. Results indicate that the computerized system can improve reliability for all three components of the Lenke classification.

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出版当年[2015]版:
大类 | 4 区 医学
小类 | 4 区 卫生保健与服务
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出版当年[2014]版:
Q4 HEALTH CARE SCIENCES & SERVICES
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第一作者机构: [1]Department of Electronic Engineering, Yunnan University, China [*1]Department of Electronic Engineering, Yunnan University, No.2 North Cuihu Road, Kunming, China, 650091
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通讯机构: [1]Department of Electronic Engineering, Yunnan University, China [*1]Department of Electronic Engineering, Yunnan University, No.2 North Cuihu Road, Kunming, China, 650091
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