虚拟现实辅助下的SVV和SVH检测在梅尼埃病和前庭性偏头痛鉴别诊断中的应用OA

Objective To investigate the value of virtual reality-assisted subjective visual vertical(SVV)and visual horizontal(SVH)lines detection in differential diagnosis of Meniere's disease(MD)and vestibular migraine(VM).Methods In this multi-center cross-sectional study,50 patients with unilateral MD,50 patients with vestibular migraine(VM)and 50 matched healthy volunteers from the Affiliated Hospital of North Sichuan Medical College,Suining Central Hospital and Nanbu County People's Hospital were continuously recruited during January 2021 to January 2024.SVV/SVH tests at 0°,30° and 45° were completed,respectively,and the absolute skew angle and rate of anomaly were compared between the MD and VM groups.The absolute SVV/SVH skew angle in the MD and VM groups was analyzed based on receiver operating characteristic curve(ROC)characteristics of the control group to evaluate their value in the differential diagnosis of MD and VM.Results(1)Anomaly rate:The absolute SVV/SVH skew angle and rate of anomaly in the MD and VM groups were greater than those in the control group at all test angles,and greater in the MD group than in the VM group(P<0.05).(2)ROC results:The predictive value of SVV and SVH at 0° was better than at 30° and 45° for MD,with a cut-off point at 2.03° for SVV and 3.21° for SVH,respectively.The same was also true for VM patients with the predictive cut-off point at 1.88° for SVV and 1.61° for SVH.Conclusions SVV/SVH at 0° can be used as a basis for differential diagnosis of MD and VM.The dual threshold system is not only an innovation to the traditional multi-angle detection paradigm,but also promotes a paradigm shift of vestibular disease diagnosis from symptom description to quantitative analysis.These findings provide theoretical basis for clinical diagnosis and treatment,and have important clinical translational value.