Abstract
Exostosis is a benign, irreversible growth of bone in the external auditory canal commonly seen in aquatic enthusiasts such as surfers and swimmers. Traditional assessment of the severity of exostosis is by visual estimate during otoscopic exam, with four grades; Grade 0 (no identifiable exostosis), Grade 1 (less than 33 percent obstruction), Grade 2 (≥34% to ≤ 66% obstruction) or Grade 3 (> 67% obstruction). Gold standard diagnostic assessment of exostosis severity is traditionally via computerized tomography; however, this technique exposes the patient to high dose radiation, is expensive and cannot typically be conducted during appointments. We describe a novel analysis of exostosis using National Institute of Health public domain software which allows accurate determination of the severity of exostosis from otoscopic exam images during patient consults. ImageJ analyses presents an accurate, highly reliable, time and cost-efficient method of exostosis analysis in clinical practice and research.
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