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| Repeatability of Intelligent Visual Acuity Chart Projector and Its Comparison with Traditional Visual Acuity Chart |
| Yiran Hao, Silu Wang, Lei Zhu, Ying Jie, Lei Tian |
| Beijing Tongren Eye Center, Beijing Key Laboratory of Ophthalmology and Visual Sciences, Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China |
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Abstract Objective: To analyze the repeatability of intelligent visual acuity chart projector in measuring visual acuity, and its comparison with the outcomes of traditional visual acuity chart. Methods: This case series study included 120 eyes of 60 patients with ocular surface diseases who visited Beijing Tongren Hospital, Capital Medical University from 4 to 22 January 2022. At first, the intelligent visual acuity chart projector
(LSJ-IVAC-6000A) was used to measure visual acuity three times, and the repeatability of the outcomes was assessed by intraclass correlation coefficient (ICC). And then, standard logarithmic visual acuity chart displayed by the light house was used to measure visual acuity once, and the consistency with intelligent visual acuity chart projector of the outcomes was assessed by ICC and Bland-Altman analysis. Results: The ICCs between the right eye and left eye of each patient by using the intelligent visual acuity chart projector were 0.830 and 0.868, respectively, both ICCs were over 0.8 (all P<0.001). The ICCs between the right eye and left eye of each patient by using intelligent visual acuity chart projector and standard logarithmic visual acuity chart were 0.846 and 0.873, respectively, both ICCs were over 0.8 (all P<0.001). And the Bland-Altman 95% limits of agreement of the difference between the two measurements were -0.25 to 0.20 and -0.24 to 0.17, respectively. Conclusion: Intelligent visual acuity chart projector can improve the efficiency of visual acuity screening with acceptable repeatability and specific consistency with traditional visual acuity.
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Received: 19 January 2022
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| Fund:The Open Research Fund from Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing Tongren Hospital, Beihang University & Capital Medical University (BHTRKFJJ-202001) |
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Corresponding Authors:
Lei Tian, Beijing Tongren Eye Center, Beijing Key Laboratory of Ophthalmology and Visual Sciences, Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China (Email: tianlei0131@163.com)
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