Optical Coherence tomography

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Researchers have found that the retinal ganglion cell-inner plexiform and retinal nerve fiber layer parameters of optical coherence tomography had similar diagnostic value, while combining the two increased that value.

As reported in Investigative Ophthalmology and Visual Science, researchers aimed to develop a predictive model to detect glaucoma. They included 500 eyes in the study group and 187 in the validation group. Those with glaucoma were organized into five groups depending on their visual field damage.

“The combined model includes information from eight parameters from three structures: optic nerve head, peripapillary retinal nerve fiber layer (RNFL) and ganglion cell-inner plexiforms (GCIPLs), and requires only 1 minute to determine the probability of glaucoma in a suspected patient using the diagnostic calculator,” the researchers said.

Researchers found that the best parameters were inferior RNFL, average RNFL, vertical cup-to-disc ratio, minimal GCIPL and inferior-temporal GCIPL. They explained that the areas under the receiver operating characteristic curves (AUC) were used to determine the discriminatory capabilities between healthy and glaucomatous eyes. They found that the highest AUC was in the combined predictive model and was significantly higher than the other isolated parameters considered in early and advanced glaucoma. The combined predictive formula improved glaucoma detection vs. the best isolated parameters, according to researchers.

Reference: Larrosa JM, et al. Invest Ophthal Vis Sci. 2015;doi:10.1167/iovs.15-17176.

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