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1
Total hip replacement (THR) rates are increasing, leading to a rise in peri-prosthetic femur fractures (PFFs) occurring in 3.5% of patients.
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2
PFFs account for 10.5% of revision hip arthroplasties and can be caused by low-energy falls, implant loosening, or stress from adjacent implants.
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3
The Vancouver Classification System (VCS) is used to characterize PFFs and guide surgical management based on fracture location, implant loosening, and bone quality.
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4
Current automatic fracture detection systems often exclude cases with prostheses, complicating the identification and classification of PFFs.
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5
Deep learning techniques show promise in improving the detection and classification of PFFs from X-ray images, enhancing patient outcomes.
