Current coronoid fracture classification systems are based on fragment size and configuration using plain radiographs and/or CT. During surgery, coronoid fracture fragments appear much larger than anticipated because cartilage is radiolucent and therefore not taken into account with preoperative imaging. The purpose of this study was to quantify the articular cartilage thickness of the coronoid process, with reference to coronoid fracture classifications. Twenty-four cadaveric ulnae were dissected, imaged, and analyzed using the OsiriX software program (3.6–64 bit, Geneva). Thirteen identifiable landmarks were chosen on the coronoid, olecranon and proximal radioulnar joint to measure articular cartilage thickness. Intra-observer and inter-observer reliability were calculated.Purpose
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