摘要Purpose:To construct a symptoms-based prediction tool to assess the likelihood of superior canal dehiscence(SSCD)on high-resolution CT.Materials and methods:Mathematical modeling was employed to predict radiologic evidence of SSCD at a tertiary neurotology referral center.Results:A total of 168 patients were included,of which 118 had imaging-confirmed SSCD.On univariate analysis significant predictors of SSCD presence were:sound/pressure-induced vertigo(p=0.006),disequilibrium(p=0.008),hyperacusis(p=0.008),and autophony(p=0.034).Multivariate analysis enabled a 14-point symptom-weighted tool to be developed,wherein a score of ≥6 raised the suspicion of SSCD(≥70％likelihood of being present),R2=0.853.Conclusions:The likelihood of SSCD on CT scan can be determined with a high degree of certainty based on symptoms recorded at presentation.Using the evidenced-based diagnostic tool validated herein,a score ≥6 with any symptom combination justifies ordering a CT scan.