Abstract
Purpose :
To evaluate the repeatability and reproducibility of four glaucoma risk score models on spectral domain optical coherence tomography (SD-OCT) and swept source optical coherence tomography (SS-OCT) 12mm by 9mm widefield OCT scans.
Methods :
A cross-sectional study was conducted on 25 glaucoma and 23 healthy patients. All patients underwent an ocular examination to determine if they belonged in the healthy or glaucoma group. Each patient was scanned by a SS-OCT, Triton (Topcon Healthcare, Tokyo, Japan) and a SD-OCT, Maestro (Topcon Healthcare, Tokyo, Japan) with the same eye by three operators using 12 mm by 9 mm widefield OCT scans. Scans were excluded from the dataset for the following reasons: blinks, motion artifacts, a TopQ score less than 25, segmentation errors, or a mispositioned optic disc. All the OCT scans from both devices were used to generate risk scores using all four models developed by Fukai et al. (2022). Repeated measures analysis of variance (ANOVA) analyses were conducted on both groups to assess the repeatability and reproducibility of the models across two different devices and three operators.
Results :
The mean risk scores for the healthy group ranged from 6 to 28, while the mean risk scores for the glaucoma group ranged from 73.8 to 87.5. The reproducibility limit values for the glaucoma group were 17 and higher for both devices. In contrast, the limit values for the healthy group were lower than those for the glaucoma group, indicating a relatively higher precision for the healthy group.
Conclusions :
The mean values for the healthy group were consistent with the cut off specified in the Fukai paper, 0 to 89 for healthy eyes, whereas the mean risk scores for the glaucoma group were lower than the cutoff for glaucomatous eyes (90 to 100). The lower risk scores and high limit values for the glaucoma group may suggest the need to reconsider the threshold for identifying glaucoma when applying these models.
This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.