Objective: To compare the sensitivity of 3 groups of masked graders with varying levels of ophthalmic training to identify peripheral retinal breaks utilizing ultra-widefield orthogonal, directed peripheral steering, and auto-montaged images.
Design: Retrospective observational cohort study.
Participants: 155 patients from a single vitreoretinal specialist's practice.
Methods: 221 eyes with pretreatment orthogonal, directed-peripheral steering, and auto-montage that underwent laser retinopexy for retinal tears between 2015 and 2021 were divided into 2 groups: treatment-naïve and control. Combined sensitivity and specificity of identifying all retinal breaks on orthogonal, directed-peripheral steering, and auto-montaged imaging were calculated compared with the gold standard of mydriatic, scleral depression examination. Linear probability modeling was performed to calculate the required surface area from auto-montage images to identify breaks that were missed initially on orthogonal images.
Results: For orthogonal images, combined sensitivity was highest for ophthalmologists (67.53%), residents (62.34%), and then optometrists (55.84%). The sensitivity increased for orthogonal/steering (ophthalmologists [85.71%], residents [77.92%], and optometrists [67.53%]) and auto-montage (ophthalmologists [85.51%], residents (80.28%), and optometrists [75.00%]). To ensure identification of all tears with auto-montage that was initially missed on grading the orthogonal image, for every 10% increase in montage surface area, there was a 4.8 percentage point (%p) increase in the likelihood of detecting a retinal tear on montage image grading (p = 0.023).
Conclusions: Masked graders had moderate sensitivity in identifying retinal breaks with ultra-widefield images. Even with directed-peripheral steering and auto-montage, optometrists had the lowest sensitivity compared to ophthalmology residents and general ophthalmologists and required increased surface area to identify all retinal breaks.
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| http://dx.doi.org/10.1016/j.jcjo.2025.02.002 | DOI Listing |
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