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Geometric semi-automatic analysis of radiographs of Colles’ fractures

Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018, Ngan, K. H., Ananda, A. , d’Avila Garcez, A., Appelboam, A. & Knapp, K. M. (2020). Geometric semi-automatic analysis of radiographs of Colles’ fractures. PLoS One, 15(9), article number e0238926. doi: 10.1371/journal.pone.0238926


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.

Publication Type: Article
Additional Information: © 2020 Reyes-Aldasoro et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RC Internal medicine
Departments: School of Science & Technology > Computer Science
School of Science & Technology > Computer Science > giCentre
SWORD Depositor:
[thumbnail of j2020_ReyesAldasoro_GeometricSemiAutomaticRadiographs_PLOSONE.pdf]
Text - Published Version
Available under License Creative Commons: Attribution International Public License 4.0.

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