Automated hyperemia analysis software: reliability and reproducibility in healthy subjects

• Published in: Japanese journal of ophthalmology Vol. 56; no. 1; pp. 1 - 7
• Main Authors: Yoneda, Tsuyoshi, Sumi, Tamaki, Takahashi, Ayako, Hoshikawa, Yasuhiro, Kobayashi, Masahiko, Fukushima, Atsuki
• Format: Journal Article
• Language: English
• Published: Japan Springer Japan 01.01.2012; Springer Nature B.V
• Subjects: Adult; Algorithms; Amides - adverse effects; Bimatoprost; Clinical Investigation; Cloprostenol - adverse effects; Cloprostenol - analogs & derivatives; Conjunctiva - blood supply; Conjunctival Diseases - chemically induced; Conjunctival Diseases - physiopathology; Conjunctivitis, Allergic - physiopathology; Humans; Hyperemia - chemically induced; Hyperemia - physiopathology; Medicine; Medicine & Public Health; Middle Aged; Ophthalmology; Pattern Recognition, Automated; Photography; Reproducibility of Results; Software; Young Adult; Image analysis; Hyperemia; Software; Conjunctiva
• ISSN: 0021-5155; 1613-2246
• DOI: 10.1007/s10384-011-0107-2

Purpose To evaluate the reliability and reproducibility of automated software to analyze human bulbar hyperemia. Methods We enrolled 89 healthy volunteers in this study. A slit lamp was used to take pictures of the conjunctiva on the temporal side of each subject’s right eye. Photographic conditions were standardized by using a single photographer. Images were transferred to software for automatic pixel value calculation in the green channel of the region of interest (ROI). We investigated optimal ROI size, mean ROI pixel frequency, percentage ROI blood vessel coverage, and data reproducibility. We also used this software to evaluate bimatoprost-induced hyperemia and hyperemia in allergic conjunctival diseases. Results The optimal ROI was found to be 400 vertical pixels by 300 horizontal pixels. Mean ROI pixel frequency was 5305 and % coverage was 4.4%. We confirmed the reproducibility of the analysis by comparing two images ( r 2  = 0.7, P  < 0.0001). Percentage blood vessel coverage increased in images of bimatoprost-induced hyperemia and hyperemia in allergic conjunctival diseases compared to the data from healthy volunteers. Conclusions The software was simple to use and provided reproducible data. We established standard settings for the operation of the software. The use of our software will improve hyperemia evaluation, which is presently done using nonquantitative methods.