Predicting Radial Head Dislocation in Hereditary Multiple Osteochondromatosis: A Quantitative Radiologic Approach
Abdulbaki Kurt1, Berkay Doğan1, Mustafa Kavasoğlu1
1Metin Sabanci Baltalimani Bone Diseases Training and Research Hospital, Istanbul, Türkiye.
Insights
Proportional ulnar length is a key predictor of radial head dislocation in children with hereditary multiple osteochondromatosis (HMO). A new classification system using this measure aids in risk stratification for better management.
Area of Science:
- Orthopedics
- Pediatric Radiology
- Skeletal Dysplasias
Background:
- Hereditary multiple osteochondromatosis (HMO) frequently causes forearm deformities in children.
- Radial head dislocation (RHD) is a significant complication, potentially preventable with early detection.
- Current classification systems lack reliability for guiding surveillance and treatment decisions.
Purpose of the Study:
- Identify radiologic predictors of RHD in pediatric HMO patients.
- Develop a quantitative, clinically applicable classification system for RHD risk stratification.
- Support growth-oriented surveillance and surgical decision-making.
Main Methods:
- Retrospective review of 143 patients (186 forearms) with HMO (2006-2024).
- Radiographic analysis included lesion distribution, proportional ulnar length (PUL), radial bowing, ulnar variance, and RHD presence.
- Multivariate analysis to identify RHD predictors and develop a risk-based classification framework.
Main Results:
- RHD occurred in 36% of forearms.
- Lower PUL (≤0.89) was a significant predictor of RHD.
- Absence of distal radius lesions increased RHD likelihood; radial bowing and ulnar variance were not independent predictors.
- A 3-tier risk classification (Type A1, A2, B) based on PUL and distal radius lesions was developed.
Conclusions:
- Proportional ulnar length (PUL) is the most reliable radiographic predictor of RHD in HMO.
- Integrating distal radius lesion status enhances risk stratification for pediatric patients.
- The proposed system offers a reproducible, growth-oriented framework, addressing limitations of existing classifications.
Background:
Forearm deformities are common in children with hereditary multiple osteochondromatosis (HMO) and may progress during growth, leading to functional impairment. Among these deformities, radial head dislocation (RHD) represents one of the most clinically significant and potentially preventable complications. Existing classification systems are primarily descriptive and show limited reliability in guiding surveillance and treatment decisions. This study aimed to identify radiologic predictors of RHD in HMO and to develop a quantitative, clinically applicable classification system to support risk stratification during skeletal growth.
Methods:
A retrospective review was conducted of 143 patients (186 forearms) with HMO treated and followed between 2006 and 2024. Standard anteroposterior and lateral radiographs available at the time of evaluation were evaluated for lesion distribution, proportional ulnar length (PUL), radial bowing, ulnar variance, distal radial epiphyseal angle, carpal slip, and the presence of RHD. Forearms were classified using the Masada and Jo systems. Multivariate analysis was performed to identify independent predictors of RHD and to construct a risk-based classification framework.
Results:
Radial head dislocation was identified in 36% of forearms. Patients with RHD demonstrated substantially lower PUL compared with those without dislocation, and a PUL threshold of ≤0.89 effectively distinguished high risk from low-risk cases. Absence of a distal radius lesion was also associated with an increased likelihood of RHD, whereas radial bowing and ulnar variance were not independent predictors. Existing classification systems showed limited applicability, with a considerable proportion of forearms remaining unclassifiable. On the basis of radiologic and statistical findings, a 3-tier risk classification was developed: type A1 (PUL ≤0.89 without distal radius lesion), type A2 (PUL ≤0.89 with distal radius lesion), and type B (PUL >0.89).
Conclusion:
Proportional ulnar length is the most reliable radiographic predictor of radial head dislocation in children with HMO. Incorporating distal radius lesion status improves risk stratification and enables a practical, growth-oriented framework for surveillance and surgical decision-making in pediatric patients. This study presents one of the largest single-center HMO cohorts to propose a reproducible risk stratification system that addresses unclassifiable cases in Masada/Jo criteria and integrates distal radius lesions as a novel modifier.
Level Of Evidence:
Level III.
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