Abstract
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.
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Data availability
The data that support the findings of this study are available from the corresponding author, [RB], upon reasonable request.
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Ahmed, M., Saad, A., Bani-Khalid, A. et al. The role of Grey Scale Inversion Imaging (GSII) as a diagnostic tool of neck of femur fractures: is it more effective?. Emerg Radiol 30, 419–423 (2023). https://doi.org/10.1007/s10140-023-02146-5
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DOI: https://doi.org/10.1007/s10140-023-02146-5