Related Experiment Video
Updated: Jan 15, 2026

Binocular Dynamic Visual Acuity in Eyeglass-Corrected Myopic Patients
Published on: March 29, 2022
[Clinical application of dynamic visual acuity testing in patients with vestibular migraine]
Hongyan Shi1, Yujun Li2, Wanting Zhang1
1Shanxi Medical University First Clinical Medical College,Taiyuan,030000,China.
Abstract:
Objective:To investigate the potential characteristic manifestations and application value of the Dynamic Visual Acuity Test(DVAT) in vestibular migraine(VM). Methods:A total of 50 VM patients(case group) and 50 healthy subjects(control group) diagnosed at the Department of Otorhinolaryngology Head and Neck Surgery, First Hospital of Shanxi Medical University between November 1, 2023, and December 31, 2024, were enrolled. The case group underwent DVAT, video head impulse test(vHIT), caloric test, and Dizziness Handicap Inventory(DHI) assessment, whereas the control group only received DVAT. Group-based analyses were conducted to examine the effect of age on Dynamic Visual Acuity Loss(DVALoss), as well as the correlations of DVALoss with vestibular function tests and DHI scores. Results:DVALoss in the case group was significantly higher than that in the control group(P<0.001). In both groups, age was significantly and positively correlated with DVALoss(P<0.001). Within the case group, DVALoss was strongly and positively correlated with DHI scores(r=0.807, P<0.001); it was negatively correlated with the vestibulo-ocular reflex(VOR) gain in vHIT, though without clinical significance, and showed no significant association with the caloric test. Age and DVALoss collectively accounted for 71.3% of the variance in DHI scores(R²=0.713), with age exerting a relatively minor actual impact. Conclusion:DVAT can sensitively identify the core functional impairments of VM. DVALoss, as a direct functional reflection of the pathological mechanism of VM, is strongly correlated with DHI scores. Incorporating DVALoss into standardized assessments may provide an objective basis for the diagnosis and management of VM.

