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使用专门的工作流程软件进行6点形态测量评估骨质疏松性椎体骨折。

Assessment of osteoporotic vertebral fractures using specialized workflow software for 6-point morphometry.

作者信息

Guglielmi Giuseppe, Palmieri Francesco, Placentino Maria Grazia, D'Errico Francesco, Stoppino Luca Pio

机构信息

Department of Radiology, University of Foggia, Viale Luigi Pinto, Foggia 71100, Italy.

出版信息

Eur J Radiol. 2009 Apr;70(1):142-8. doi: 10.1016/j.ejrad.2007.12.001. Epub 2008 Feb 1.

Abstract

PURPOSE

To evaluate the time required, the accuracy and the precision of a model-based image analysis software tool for the diagnosis of osteoporotic fractures using a 6-point morphometry protocol.

MATERIALS AND METHODS

Lateral dorsal and lumbar radiographs were performed on 92 elderly women (mean age 69.2+/-5.7 years). Institutional review board approval and patient informed consent were obtained for all subjects. The semi-automated and the manual correct annotations of 6-point placement were compared to calculate the time consumed and the accuracy of the software. Twenty test images were randomly selected and the data obtained by multiple perturbed initialisation points on the same image were compared to assess the precision of the system.

RESULTS

The time requirement data of the semi-automated system (420+/-67 s) were statistically different (p<0.05) from that of manual placement (900+/-77 s). In the accuracy test, the mean reproducibility error for semi-automatic 6-point placement was 2.50+/-0.72% [95% CI] for the anterior-posterior reference and 2.16+/-0.5% [95% CI] for the superior-inferior reference. In the precision test the mean error resulted averaged over all vertebrae was 2.6+/-1.3% in terms of vertebral width.

CONCLUSIONS

The technique is time effective, accurate and precise and can, therefore, be recommended in large epidemiological studies and pharmaceutical trials for reporting of osteoporotic vertebral fractures.

摘要

目的

使用六点形态测量方案评估基于模型的图像分析软件工具诊断骨质疏松性骨折所需的时间、准确性和精密度。

材料与方法

对92名老年女性(平均年龄69.2±5.7岁)进行了背部和腰椎侧位X线摄影。所有受试者均获得机构审查委员会批准和患者知情同意。比较六点放置的半自动和手动正确标注,以计算软件的耗时和准确性。随机选择20张测试图像,并比较同一图像上多个扰动初始化点获得的数据,以评估系统的精密度。

结果

半自动系统的时间需求数据(420±67秒)与手动放置的数据(900±77秒)在统计学上有差异(p<0.05)。在准确性测试中,半自动六点放置的平均再现误差,前后参考为2.50±0.72%[95%CI],上下参考为2.16±0.5%[95%CI]。在精密度测试中,就椎体宽度而言,所有椎体的平均误差为2.6±1.3%。

结论

该技术省时、准确且精密,因此可推荐用于大型流行病学研究和药物试验中骨质疏松性椎体骨折的报告。

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