Related Experiment Video
Updated: Jun 19, 2026

Three-Dimensional Reconstruction of Orbital Fractures
Published on: May 16, 2025
Clinical indicators and usage of algorithms in determining need for ophthalmological consultation in the setting of
Urjita Das1, Robert W Rickert1, Bashar A Hassan2
1Department of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Purpose:
Orbital fractures are a major reason for ophthalmologic consultation in the emergency department. In this study, we studied ocular signs associated with intervention and compared 4 previously published protocols to identify which best identified higher risk patients in need of consultation.
Methods:
We performed a retrospective cross-sectional study of patients from the BALCITE (BALtimore Consultation, Inpatient, and Trauma of the Eye) database who received ophthalmologic consultation. Our primary outcomes were the ocular and orbital signs associated with receiving intervention. Our secondary outcome identified the most sensitive and specific screening algorithm for orbital fractures by comparing four existing protocols (HOPE+CT, STOP, MEE, and UTH) to our large independent cohort.
Results:
Of 814 patients with 913 eyes, 218 (24%) eyes required intervention. rAPD and periorbital laceration had the highest odds of intervention (aOR 5.7 [CI 3.2-10.1], p < 0.001 and aOR 3.3 [CI 2.3-4.7], p < 0.001, respectively). A 1-point increase in logMAR visual acuity corresponded to a 2.9-fold increase in the odds of intervention (p < 0.001). The STOP tool had the highest sensitivity of 96.3%, demonstrating a potential 29% reduction in hospital fracture consults, followed by MEE, with a sensitivity of 93.1%. The HOPE+CT tool had the highest specificity of 95.6%.
Conclusion:
The presence of an APD and periorbital laceration are strong indicators of urgent ophthalmologic treatment in the setting of acute orbital fractures. Supportive implementation of the STOP and MEE algorithms can effectively screen orbital fracture patients to help triage in the acute setting, improve resource utilization, and reduce healthcare costs.
