Significance: Assessing and managing glaucoma are a complicated process in which experience plays a key role in decision making. Although advanced glaucoma is more easily diagnosed, patients with early glaucoma or who present with suspicious findings are more complicated. A need to aid clinicians in the decision-making process exists.

Purpose: The purpose of this study was to assess the impact of en face ocular coherence tomography images to clinical decision making when added to standard presentations of circumpapillary retinal nerve fiber layer thickness and automated perimetry.

Methods: Thirty participants from two centers presenting either as a glaucoma suspect or for an initial glaucoma evaluation were enrolled. Six masked investigators were given standard presentations of circumpapillary retinal nerve fiber layer thickness and perimetry. They were asked if glaucomatous damage was present as well as a recommended plan of management on 5-point Likert scales. They were then given en face images of the retinal nerve fiber layer in three different presentations coupled with the standard presentation, and the questions were repeated. An intraclass correlation coefficient (ICC) was generated.

Results: The masked investigators had moderate agreement from the standard presentation for assessment (ICC = 0.67 [95% confidence interval {CI}, 0.54 to 0.80] and ICC = 0.69 [95% CI, 0.52 to 0.80], respectively), as well as with the addition of the en face images (ICC = 0.69; 95% CI, 0.56 to 0.81). The en face images tended to change decisions in both assessment and plan toward likely to have glaucoma and likely to start treatment.

Conclusions: The addition of en face images to a standard presentation has an impact on clinical decision making. Although en face images seem to influence the decision toward likely to have glaucoma and likely to treat, it is unclear if this leads to a more accurate decision. Further investigations seem warranted to assess sensitivity and specificity of this approach.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004462PMC
http://dx.doi.org/10.1097/OPX.0000000000001479DOI Listing

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