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All evidence

Added value of artificial intelligence for the detection of pelvic and hip fractures

Data

  • 940 radiographs from adult patients with pelvic or hip trauma

Design

  • Retrospective study

  • Junior radiologist analysed the radiographs without and with AI (3-month washout)

  • MSK imaging radiologists, junior radiologist and emergency physicians analyzed 10% of the radiographs first without AI, then with AI (100 exams)

  • Ground truth established by either CT scan, confirmation by radiography or regular follow-up at the hospital

Results

  • 940 patients with pelvic X-rays, 539 patients with at least one fracture

    • Older population with a mean age = 83 years old

  • In total, 633 pelvic fractures (64.8% from hip, 35.2% from pelvic ring)

  • Good standalone performance of AI across all pelvic fractures (sens = 81%, spec = 78%)

  • AI improved the junior radiologist’s sensitivity by 8.39% (Rel Diff) without decreasing specificity

  • AI most significantly improved the performance of emergency physicians with an average increase in sensitivity of 29% without any loss of specificity

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