A computerized red glass test for quantifying diplopia

Han Soo Yoo, Eunjeong Park, Soolienah Rhiu, Hyuk Jae Chang, Kyoungsub Kim, Joonsang Yoo, Ji Hoe Heo, Hyo Suk Nam

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Background: Accurate evaluation of diplopia during bedside physical examination is challenging. We developed a new computerized red glass test (CRT) to detect, localize, and quantify diplopia and investigated whether the CRT is useful and feasible. Methods: During the CRT, a white dot randomly appears on a monitor. Because a red glass is applied on the right eye, a patient can see one white dot and one red dot when diplopia is present. We defined the degree of diplopia as the direct distance of the two points with the largest deviation and compared the degree with the Hess score and Hess area ratio. Results: We prospectively enrolled 14 patients with binocular diplopia. Test-retest reliability of the CRT was excellent (overall intraclass correlation coefficient = 0.948, 95% CI 0.939-0.956). The degree of diplopia in the CRT was well correlated with both the Hess score (r = 0.719, p = 0.005) and the Hess area ratio (r = −0.620, p = 0.018). Conclusions: The CRT can easily detect the presence of diplopia and provided the quantitative values of the degree of diplopia. The CRT was useful and feasible for improving routine bedside examination.

Original languageEnglish
Article number71
JournalBMC Ophthalmology
Issue number1
Publication statusPublished - 2017 May 17

Bibliographical note

Funding Information:
This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HC15C1056). The authors are grateful to Mr. Dong-Su Jang (Yonsei University) for providing the illustration. No external funding has been obtained to perform or support this study.

Publisher Copyright:
© 2017 The Author(s).

All Science Journal Classification (ASJC) codes

  • Ophthalmology


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