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Updated: Nov 1, 2025

Lower Limb Biomechanical Analysis of Healthy Participants
Published on: April 15, 2020
Reporting errors in plain radiographs for lower limb trauma-a systematic review and meta-analysis
Thomas York1, Christopher Franklin2, Kate Reynolds2
1Guys and St Thomas' NHS Trust, St Thomas' Hospital, London, UK. thomas.york@nhs.net.
Interpreting lower limb radiographs for skeletal trauma shows high accuracy, but missed fractures still occur. Safety netting systems are recommended to improve patient outcomes and reduce diagnostic errors.
Area of Science:
- Radiology
- Orthopedic Surgery
- Diagnostic Imaging
Background:
- Plain radiographs are essential for musculoskeletal injury assessment globally.
- Inaccurate interpretation of radiographs leads to adverse patient outcomes.
- Limited meta-analytic research exists on radiograph interpretation accuracy for skeletal trauma.
Purpose of the Study:
- To systematically review and meta-analyze the diagnostic accuracy of initial radiograph reporting for lower limb skeletal trauma.
- To assess the sensitivity and specificity of radiograph interpretation for common lower limb injuries.
Main Methods:
- Systematic review and meta-analysis of published research from major clinical-science databases.
- Inclusion of studies based on eligibility criteria, followed by quality and risk of bias assessment.
- Application of HSROC and bivariate models to determine summary diagnostic accuracy rates, including anatomical site covariates.
Main Results:
- Analysis of 10 studies, selected from 3887 screened articles.
- Overall sensitivity of 93.5% and specificity of 89.7% for lower limb radiograph interpretation.
- Ankle radiograph interpretation demonstrated the highest accuracy, with 98.1% sensitivity and 94.6% specificity.
Conclusions:
- Lower limb skeletal radiograph interpretation demonstrates good sensitivity and specificity.
- A significant rate of missed fractures (1 in 20 true positives) necessitates improved safety netting.
- Virtual fracture clinics, teleradiology, and novel technologies are proposed to enhance diagnostic accuracy and patient safety.
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