Geometric semi-automatic analysis of radiographs of Colles' fractures

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Case-Control Studies
  • Colles' Fracture / diagnostic imaging*
  • Colles' Fracture / therapy*
  • Female
  • Humans
  • Male
  • Manipulation, Orthopedic
  • Middle Aged
  • Radiographic Image Interpretation, Computer-Assisted / methods*
  • Radiography
  • Treatment Outcome

Grants and funding

Ananda Ananda PhD studies are partially funded by the School of Mathematics, Computer Science and Engineering, City, University of London. KHN is partially funded by the Data Science Institute, City, University of London. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.