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Published on: March 13, 2026
Proximal humeral fracture classification systems revisited
Addie Majed1, Iain Macleod, Anthony M J Bull
1Division of Surgery Oncology Reproductive Medicine and Anaesthetics, Imperial College London, UK. a.majed@imperial.ac.uk
Current proximal humeral fracture classification systems show poor reliability among surgeons. The Codman-Hertel system demonstrated the highest interobserver agreement, suggesting it is the most comprehensive for these complex injuries.
Area of Science:
- Orthopedic surgery
- Radiology
- Medical imaging
Background:
- Proximal humeral fractures are complex injuries requiring accurate classification for effective treatment.
- Existing classification systems may lack sufficient reliability for clinical decision-making.
- 3D modeling from CT scans offers a novel approach to evaluating fracture classification.
Purpose of the Study:
- To evaluate the interobserver and intraobserver reliability of four proximal humeral fracture classification systems.
- To determine if 3D rapid sequence prototyping models improve classification accuracy.
- To identify the most reliable classification system for complex proximal humeral fractures.
Main Methods:
- 96 complex proximal humeral fractures were analyzed using 3D rapid sequence prototyping models derived from CT scans.
- Four independent senior surgeons classified fractures using Neer, AO, Codman-Hertel, and Resch classification systems.
- Interobserver and intraobserver reliability were assessed using kappa (κ) coefficient values.
Main Results:
- Interobserver reliability κ values ranged from 0.11 (AO) to 0.44 (Codman-Hertel), indicating slight to moderate agreement.
- The Codman-Hertel system showed the highest interobserver reliability (κ=0.44).
- Neer and AO systems demonstrated low reliability for classifying three-part fractures.
Conclusions:
- Current proximal humeral fracture classification systems exhibit poor interobserver reliability, hindering clinical management and research.
- The Codman-Hertel classification system appears to be the most reliable and comprehensive among those studied.
- Further refinement of classification systems, like Resch's, may improve accuracy for specific fracture characteristics.
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