Utility of three-dimensional printing in the surgical management of intra-articular distal humerus fractures
Abstract
A meta-analysis of randomized controlled trials validating 3D printing for preoperative planning in complex distal humerus fractures. The study quantifies the efficiency gains in the operating room, specifically regarding time and hemostasis.
Haptic Planning for Complex Elbows
Key Finding
"3D printing assistance significantly reduced operative time by 16.25 minutes (p < 0.001) and intraoperative blood loss by 30.40 mL (p = 0.005) compared to conventional planning."
Background: Intra-articular distal humerus fractures (AO Type 13C) are notorious for their complex multi-fragmentary anatomy. Conventional imaging often fails to convey the true 3D spatial relationship of fragments, leading to prolonged surgical exploration and reduction attempts. This review sought to determine if holding the fracture in hand pre-operatively translates to measurable surgical efficiency.
Methods: The authors conducted a meta-analysis of 3 Randomized Controlled Trials (RCTs) comprising 144 cases (69 3D-printed vs. 75 conventional). The intervention involved fabricating a life-size 3D model of the fracture from CT data for pre-contouring plates and simulating reduction. Primary endpoints were operative duration, blood loss, and complication rates.
Results: The rehearsal effect of 3D printing yielded statistically significant efficiency gains: surgeries were consistently faster (Mean Difference -16.25 min) and cleaner (Mean blood loss -30.4 mL). While the 3D group trended toward fewer complications (OR 0.57) and higher rates of Excellent Mayo Elbow Performance Scores (OR 1.79), these functional differences did not reach statistical significance due to sample size limitations.
Conclusion: 3D printing is a valid tool for surgical efficiency in complex elbow trauma. By shifting the learning curve of the specific fracture personality to the preoperative phase, surgeons can execute faster, less bloody procedures, indirectly lowering the risk of infection and anesthesia-related morbidity.