Use of a Live Porcine Model to Detect Ocular Pathology by Bedside Sonography

2008 
A bstract Use of a Live Porcine Model to Detect Ocular Pathology by Bedside Sonography Vincent L. Ball, MD Bradley N. Younggren, MD Stephen A. Crandall, MD Madigan Army Medical Center Objectives: To evaluate emergency medicine (EM) residents’ ability to detect ocular pathology using portable ultrasound (US) in a live porcine model. Methods: This was a single-blinded outcome study to determine both the validity of a live porcine model to evaluate ocular pathology and to assess the ability of EM residents to accurately diagnose ocular pathology using handheld US. Subjects were EM residents who had undergone a two-day US course as part of their EM orientation month and had reviewed a one-hour self-instruction computer tutorial on ocular US prior to the study. Vitreous hemorrhages, retro-orbital hemorrhages and intraocular foreign bodies were simulated by placement of porcine blood and metallic objects under ultrasound guidance out of view of the subject population. Residents then performed self-directed US of two eyes each and were asked to comment on any pathology observed. Time required for each scan was noted. Results: Seventy-two scans were performed to examine for vitreous hemorrhage, retro-orbital hemorrhage, and intraocular foreign bodies. EM residents were able to detect a significant abnormality greater than 93% (95CI 87- 99%) of the time. Vitreous hemorrhage was the most detectable injury with over 95% (95CI 86-100%) accuracy. A significant abnormality was detected in the models with intraocular foreign bodies 97% (95CI 90-100%) of the time with a clear diagnosis of foreign body noted in 73% (95CI 57-89%) of the cases. Retro-orbital hemorrhage was the most difficult to detect with 62% (95CI 41-83%) accuracy. The average time taken for scanning two eyes was 458 sec. Central retinal artery flow was detected in 100% of the 26 cases in which this was documented. Accuracy of diagnoses was similar across levels of EM training. Conclusion: EM residents can accurately diagnose significant ocular pathology using handheld US in a live porcine model. This is the first study to demonstrate the feasibility and effectiveness of such a model. Volume IX, no . 3 : August 2008 S1 Western Journal of Emergency Medicine
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    0
    References
    0
    Citations
    NaN
    KQI
    []