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Turner's Syndrome Screening Based on Hand Image Assessment

机译:基于手工图像评估的特纳综合征筛查

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摘要

The study presents a algorithm to screen the children with Turner's Syndrome based on the hand digital images analysis. The ratio of the distal-middle phalanx of the left fifth finger versus chronological age in normal children and children with Turner's syndrome were analyzed. Most Turner syndrome cases mixed with few normal cases are identifed in the first screening process based on phalanx's length analysis. The relationship between bone age and chronological age is also studied to locate the TS patterns precisely. Linear regression analysis is used to find the boundary lines to promote the accuracy in two screening stages. The preliminary result indicates the metacarpal sign, carpal angle, and body mass index are not significant parameters to the TS screening. On the other hand, the sensitivity and specificity can achieve to 0.81 and 0.91, respectively.
机译:该研究提出了一种绘制具有特纳综合征的儿童的算法,基于手工数字图像分析。分析了左图第五个手指的远端鳞片比例与正常儿童和特纳综合征的儿童中的年龄年龄的比例进行了分析。大多数特纳综合征案例与少数正常情况混合在基于Phalanx的长度分析的第一筛选过程中。还研究了骨龄和时间年龄之间的关系,精确地定位了TS模式。线性回归分析用于找到促进两个筛选阶段的准确性的边界线。初步结果表明了Metacarpal符号,腕骨角和体重指数对TS筛选不具有重要参数。另一方面,敏感性和特异性分别可以达到0.81和0.91。

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