Majority of previous classifications based on two-dimensional images to analyze these complicated 3-D fractures. Small or delicate changes in rotation and positioning can result to considerable disagreement in the interpretation of standard radiographs. Therefore, a classification system which had a better reliability and reproducibility for the fractures is warranted and helpful for orthopedic surgeons. Furthermore, CT and 3-D CT construction images with high resolution give a much clearer view of the pattern of proximal humeral fractures. Edelson proposed a new three-dimensional classification for fractures of the proximal humerus. The results concluded that it was a useful in classifying these injuries with reasonable interobserver reliability.

It could be hypothesized that patients with proximal humeral fractures would benefit from this 3D classification, but there is a scarcity of application of the classification in large samples. T

Inclusion Criteria:

• Whole imaging data ;
• Clear record of demographic data;
• Three dimensional construction with mimics (with CT of B30);
• Patients older than 17 years with displaced PHF occurring less than 3 weeks before allocation and treatment.

Exclusion Criteria:

• Patients with the presence of neurological disease (syringomyelia and);
• Open fractures;
• Pathological fracture (other than osteoporotic);
• Not a resident in the hospital catchment area

proximal humeral fractures without Pathological fracture

after the experiment was conducted

all authors focusing on proximal humeral fractures