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Clin Orthop Relat Res ; 448: 225-33, 2006 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-16826120

RESUMO

UNLABELLED: Fractures of the proximal humerus can be treated effectively but require proper characterization. None of the existing classifications intended to facilitate characterization have been satisfactory. We studied proximal humerus fractures using radiographs alone and radiographs plus computed tomography scans to ascertain which imaging studies were most useful to characterize these fractures. We designed an assessment protocol consisting of 17 parameters divided in four groups: cephalodiaphyseal relationship (six parameters), cephalotuberosity relationship (six parameters), humeral head (two parameters), and fracture fragment description (three parameters). The computed tomography scans were assessed using 11 parameters (the same parameters used for assessing radiographs except for the six cephalodiaphyseal parameters). Four observers analyzed the parameters in 30 selected fractures with biplanar radiographic projections (30 patients) and computed tomography scans (22 patients) on two occasions. We found good interobserver reliability and intraobserver reliability with radiographs alone for the cephalodiaphyseal parameters. The best interobserver reliabilities with radiographs plus computed tomography scans were with the number of fragments, displacement of the lesser tuberosity, and extraarticular or articular fractures. Computed tomography allows better assessment of some parameters in characterizing proximal humeral fractures. The use of a structured protocol in reading images seems useful and allows better reliability than reported for other approaches. LEVEL OF EVIDENCE: Diagnostic study, Level III (study of nonconsecutive patients without consistently applied reference "gold" standard). See the Guidelines for Authors for a complete description of levels of evidence.


Assuntos
Fraturas do Úmero/diagnóstico por imagem , Guias de Prática Clínica como Assunto , Interpretação de Imagem Radiográfica Assistida por Computador/métodos , Humanos , Variações Dependentes do Observador , Reprodutibilidade dos Testes , Tomografia Computadorizada por Raios X
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