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Colles 骨折 X 射线的几何半自动化分析。

Geometric semi-automatic analysis of radiographs of Colles' fractures.

机构信息

School of Mathematics, Computer Science and Engineering, City, University of London, London, United Kingdom.

Royal Devon and Exeter Hospital, Exeter, United Kingdom.

出版信息

PLoS One. 2020 Sep 14;15(9):e0238926. doi: 10.1371/journal.pone.0238926. eCollection 2020.

Abstract

Fractures of the wrist are common in Emergency Departments, where some patients are treated with a procedure called Manipulation under Anaesthesia. In some cases, this procedure is unsuccessful and patients need to revisit the hospital where they undergo surgery to treat the fracture. This work describes a geometric semi-automatic image analysis algorithm to analyse and compare the x-rays of healthy controls and patients with dorsally displaced wrist fractures (Colles' fractures) who were treated with Manipulation under Anaesthesia. A series of 161 posterior-anterior radiographs from healthy controls and patients with Colles' fractures were acquired and analysed. The patients' group was further subdivided according to the outcome of the procedure (successful/unsuccessful) and pre- or post-intervention creating five groups in total (healthy, pre-successful, pre-unsuccessful, post-successful, post-unsuccessful). The semi-automatic analysis consisted of manual location of three landmarks (finger, lunate and radial styloid) and automatic processing to generate 32 geometric and texture measurements, which may be related to conditions such as osteoporosis and swelling of the wrist. Statistical differences were found between patients and controls, as well as between pre- and post-intervention, but not between the procedures. The most distinct measurements were those of texture. Although the study includes a relatively low number of cases and measurements, the statistical differences are encouraging.

摘要

腕部骨折在急诊科很常见,有些患者接受一种称为麻醉下复位的治疗程序。在某些情况下,该程序不成功,患者需要再次到医院进行手术治疗骨折。本工作描述了一种几何半自动化图像分析算法,用于分析和比较健康对照组和接受麻醉下复位治疗的背侧移位腕部骨折(Colles 骨折)患者的 X 射线。采集并分析了来自健康对照组和 Colles 骨折患者的 161 张前后位 X 射线照片。根据该程序的结果(成功/不成功)以及干预前后,将患者组进一步细分为五个亚组(健康、术前成功、术前不成功、术后成功、术后不成功)。半自动分析包括手动定位三个标志点(手指、月骨和桡骨茎突)和自动处理,以生成 32 个几何和纹理测量值,这些测量值可能与骨质疏松症和腕部肿胀等情况有关。在患者和对照组之间、干预前后之间都发现了统计学差异,但在程序之间没有发现统计学差异。最明显的测量值是纹理测量值。尽管该研究病例数和测量值相对较少,但统计学差异令人鼓舞。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/809c/7489566/a6bfb89a5dab/pone.0238926.g001.jpg

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