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Scoliotic Progression Patterns in Prognostic Factors and Future Prediction of Spinal Deformity Progression

机译:脊柱侧弯进展模式的预后因素和脊柱畸形进展的未来预测。

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摘要

This study investigated how an adolescent idiopathic scoliosis progresses with time. 154 consecutive measurements from 26 consecutive AIS patients were analyzed. Each subject had at least four successive scans at six-month intervals. Progression patterns of Cobb angle and apex lateral deviation were extracted from 34 serial data sets of the most common AIS type RT-LL, in the format of four serial data sets, by using the fuzzy c-means clustering technique. Progression of spinal deformity was predicted with previous serial data of Cobb angle and apex lateral deviation by using a GCV extrapolating technique alone and in conjunction with progression patterns. Our results showed that scoliotic progression appears to follow progression patterns. Progression of spinal deformity has potential to be accurately predicted with previous serial spinal deformities by using GCV extrapolating technique with assistance of progression patterns.
机译:这项研究调查了青少年特发性脊柱侧凸如何随时间发展。分析了来自26位连续AIS患者的154次连续测量。每个受试者每六个月进行至少四次连续扫描。通过使用模糊c均值聚类技术,从四个最常见的AIS类型RT-LL的34个序列数据集中提取Cobb角和顶点横向偏差的进展模式,格式为四个序列数据集。脊柱畸形的进展是通过以前的Cobb角和先端横向偏差的串行数据通过单独使用GCV外推技术并结合进展模式来预测的。我们的结果表明,脊柱侧弯进展似乎遵循进展模式。脊柱畸形的进展有可能通过使用GCV外推技术并借助进展模式而与以前的一系列脊柱畸形一起准确预测。

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