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Algorithm Improves Acetabular Fracture Radiograph Interpretation Among Inexperienced Practitioners
Bennet A Butler1, Ryan S Selley1, Colin K Cantrell1
1Department of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, Chicago, USA.
Abstract:
Acetabular fractures are often first evaluated in the emergency department, where physicians with little experience reading pelvic radiographs may be required to make an accurate diagnosis and early management decisions. In this study, medical students classified radiographs of 20 acetabular fractures and repeated the exercise three weeks later with the aid of a previously described algorithm; half the students were given a lesson prior to using the algorithm. The pre-algorithm accuracy was 4/20 and the post-algorithm accuracy was 8.3/20 (p<0.01). The lesson provided no difference (p=0.5). This algorithm is therefore a useful reference to help classify and triage acetabular fractures.

