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Algorithm Improves Acetabular Fracture Radiograph Interpretation Among Inexperienced Practitioners.
Butler, Bennet A; Selley, Ryan S; Cantrell, Colin K; Nicolay, Richard W; Lawton, Cort D; Hashmi, Sohaib Z; Carlile, Kevin R; Stover, Michael D.
Afiliación
  • Butler BA; Department of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, Chicago, USA.
  • Selley RS; Department of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, Chicago, USA.
  • Cantrell CK; Department of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, Chicago, USA.
  • Nicolay RW; Department of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, Chicago, USA.
  • Lawton CD; Department of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, Chicago, USA.
  • Hashmi SZ; Department of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, Chicago, USA.
  • Carlile KR; Orthopaedic Surgery, Ortho Illinois, Chicago, USA.
  • Stover MD; Department of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, Chicago, USA.
Cureus ; 14(1): e21471, 2022 Jan.
Article en En | MEDLINE | ID: mdl-35223254
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cureus Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cureus Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos