Lu Jhih-Yi, Liu Yin-Cheng, Lu Jui-Bang, Tsai Ming-Han, Liao Wen-Ling, Wang I-Ming, Lin Hui-Ju, Huang Yu-Te
Eye Center, China Medical University Hospital, Taichung 404327, Taiwan.
Department of Information Engineering and Computer Science, Feng Chia University, Taichung 40724, Taiwan.
Life (Basel). 2025 Aug 13;15(8):1286. doi: 10.3390/life15081286.
This prospective pilot study aimed to develop and evaluate a VR-based screening tool for assessing distance fusional vergence amplitude in healthy orthotropic young adults aged 18 to 30 years. A VR-based balloon-hitting game was used to measure hitting deviation angles and total vergence amplitudes under five conditions: control (0 prism diopter [PD]), inward image rotation for 10 and 20 PD (negative fusional vergence [NFV] 10/20 groups), and outward image rotation for 10 and 20 PD (positive fusional vergence [PFV] 10/20 groups). Of the 20 subjects recruited, one was excluded due to esotropia, leaving 19 participants (mean age: 22.2 ± 2.2 years; 13 wore glasses and 3 were female). In the control group, the mean hitting deviation was 0.65 ± 0.25 PD. The PFV 10 PD group showed similar deviation (0.67 ± 0.25 PD, = 0.67), while the PFV 20 PD group had a significant increase (1.71 ± 2.0 PD, = 0.04). NFV groups demonstrated greater deviations (NFV 10 PD: 3.40 ± 2.05 PD; NFV 20 PD: 9.9 ± 2.40 PD, both < 0.01). Total vergence amplitudes were 8.65, 16.48, 6.60, and 10.05 PD for PFV 10, PFV 20, NFV 10, and NFV 20 PD, respectively. The VR-based tool enables standardized, efficient assessment of fusional vergence and shows promise for large-scale screening.
这项前瞻性试点研究旨在开发并评估一种基于虚拟现实(VR)的筛查工具,用于评估18至30岁健康正视年轻成年人的远距离融合性聚散幅度。使用一款基于VR的气球击打游戏,在以下五种条件下测量击打偏斜角度和总聚散幅度:对照组(0棱镜度[PD])、向内图像旋转10和20 PD(负融合性聚散[NFV] 10/20组)以及向外图像旋转10和20 PD(正融合性聚散[PFV] 10/20组)。在招募的20名受试者中,有1名因内斜视被排除,剩下19名参与者(平均年龄:22.2±2.2岁;13人戴眼镜,3人为女性)。在对照组中,平均击打偏斜为0.65±0.25 PD。PFV 10 PD组显示出相似的偏斜(0.67±0.25 PD,P = 0.67),而PFV 20 PD组有显著增加(1.71±2.0 PD,P = 0.04)。NFV组表现出更大的偏斜(NFV 10 PD:3.40±2.05 PD;NFV 20 PD:9.9±2.40 PD,两者P均<0.01)。PFV 10、PFV 20、NFV 10和NFV 20 PD的总聚散幅度分别为8.65、16.48、6.60和10.05 PD。这种基于VR的工具能够对融合性聚散进行标准化、高效的评估,并显示出在大规模筛查中的应用前景。