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Emerg Radiol ; 30(4): 419-423, 2023 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-37273151

RESUMEN

INTRODUCTION: Grey Scale Inversion Imaging (GSII), a radiology reading software, has been utilized to improve anatomical and pathological delineation and consequently increase the diagnostic accuracy in a variety of trauma and Orthopaedic conditions. OBJECTIVE/AIM: The objective of this study was to assess whether Grey Scale Inversion Imaging (GSII) has any impact on the diagnostic accuracy and inter-observer reliability in diagnosing neck of femur fractures. METHOD: We performed a retrospective, single-centre study, to identify 50 consecutive anteroposterior (AP) pelvis radiographs of patients who presented to our unit with suspected neck of femur fractures between 2020 and 2021. The images included a combination of normal pelvic radiographs and others with features suggestive either intracapsular or extracapsular neck of femur fractures, which had been confirmed on computed tomography (CT), magnetic resonance imaging (MRI) and/or subsequent surgery. Four independent observers (two Trauma and Orthopaedics (T&O) consultants, one T&O Trainee Registrar (ST3 level) and one Trainee Senior House Officer (SHO in T&O) reviewed the images and graded each radiograph image using the Likert scale in response to the statement "there is a fracture". Following this, the same radiographs were inverted to Grey Scale Inversion Imaging (GSII) grey scale images and reassessed. RAND correlation was used for statistical analysis. RESULTS: Overall, observers appeared to have similar accuracy with normal radiographic imaging and with GSI sequences. CONCLUSION: Grey Scale Inversion Imaging (GSII) of digital radiographs did not affect the diagnostic accuracy of detecting neck of femur fractures in our study.


Asunto(s)
Fracturas del Fémur , Humanos , Reproducibilidad de los Resultados , Estudios Retrospectivos , Fracturas del Fémur/diagnóstico por imagen , Tomografía Computarizada por Rayos X/métodos , Fémur , Variaciones Dependientes del Observador
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