In:
Cornea, Ovid Technologies (Wolters Kluwer Health), Vol. 38, No. 5 ( 2019-05), p. 574-580
Abstract:
To evaluate the validity and reliability of alternative methods for evaluating meibomian gland (MG) dropout without using an infrared light system: red-filtered or isolated red-channel images (RCIs) of the everted eyelid. Methods: We evaluated MG dropout in the everted upper and lower eyelids of 125 eyes of 64 patients with good-quality infrared meibography images (IMIs) and color digital photographs with and without a red filter. Red-filtered images (RFIs) were converted to black and white and adjusted for contrast/brightness [adjusted red-filtered images (aRFIs)] . RCIs were computationally isolated from color digital photographs obtained without a red filter. After randomization, the total meiboscore (0–6) was evaluated by 2 independent evaluators (interobserver reliability) masked to the image origin, and again after a 30-day interval (intraobserver reliability). Results: The meiboscores evaluated using the RFI, aRFI, and RCI were strongly positively correlated with those evaluated using the IMI (RFI: ρ = 0.788; aRFI: ρ = 0.735; RCI: ρ = 0.630; all P 〈 0.001, Spearman correlation analysis). Linear-weighted κ-values (κ w ) showed substantial agreement between the RFI and IMI (κ w = 0.676, 95% CI = 0.594–0.759). The RFI had substantial intraobserver reliability (κ w = 0.735, 95% CI = 0.685–0.785) and moderate interobserver reliability (κ w = 0.467, 95% CI = 0.371–0.563). Computational adjustment of RFIs did not enhance the validity or reliability, and RCIs had limitations in some cases. Conclusions: MGs were successfully visualized using a red filter on a slit lamp and showed substantial agreement with visualization using the standard infrared method. Although interobserver reliability was only moderate, this alternative technique may be useful for evaluating MG dropout when an infrared meibography device is not available.
Type of Medium:
Online Resource
ISSN:
0277-3740
DOI:
10.1097/ICO.0000000000001892
Language:
English
Publisher:
Ovid Technologies (Wolters Kluwer Health)
Publication Date:
2019
detail.hit.zdb_id:
2045943-9
