Epiretinal membrane: optical coherence tomography-based diagnosis and classification

Stevenson, William; Ponce, Claudia M. Prospero; Agarwal, Daniel R.; Gelman, Rachel; Christoforidis, John B.

doi:10.2147/opth.s97722

Cited by 109 publications

(85 citation statements)

References 81 publications

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“…13 In this study, an inflammatory etiology is suggested by the relative higher frequency of ERMs (8 of the 10 eyes) than PVD (4 of the 10 eyes) at diagnosis, as well as the frequent identification of posterior vitreous cells on OCT and of hyperreflective deposits (which may represent cellular debris) on the posterior hyaloid surface of eyes without PVD. Secondary ERM formation in inflammatory ocular disease is thought to be mediated by cytokines that promote proliferation of not only glial cells typically found in idiopathic ERMs but also leukocytes.…”

Section: Discussionmentioning

confidence: 76%

A Randomized Double-Blind Placebo-Control Pilot Study of Eplerenone for the Treatment of Central Serous Chorioretinopathy (Ecselsior)

Rahimy

Pitcher

Hsu

et al. 2018

Retina

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Section: Discussionmentioning

confidence: 76%

A Randomized Double-Blind Placebo-Control Pilot Study of Eplerenone for the Treatment of Central Serous Chorioretinopathy (Ecselsior)

Rahimy

Pitcher

Hsu

et al. 2018

Retina

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“…A) (Stevenson et al. ). Epiretinal membrane (ERM) contracture can involve the centre of the macula, with flattening of foveal pit and other changes in the outer retinal layers.…”

Section: Resultsmentioning

confidence: 99%

The European Eye Epidemiology spectral‐domain optical coherence tomography classification of macular diseases for epidemiological studies

Gattoussi

Buitendijk

Leung

et al. 2018

Acta Ophthalmologica

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Purpose The aim of the European Eye Epidemiology (E3) consortium was to develop a spectral‐domain optical coherence tomography (SD‐OCT)‐based classification for macular diseases to standardize epidemiological studies. Methods A European panel of vitreoretinal disease experts and epidemiologists belonging to the E3 consortium was assembled to define a classification for SD‐OCT imaging of the macula. A series of meeting was organized, to develop, test and finalize the classification. First, grading methods used by the different research groups were presented and discussed, and a first version of classification was proposed. This first version was then tested on a set of 50 SD‐OCT images in the Bordeaux and Rotterdam centres. Agreements were analysed and discussed with the panel of experts and a final version of the classification was produced. Results Definitions and classifications are proposed for the structure assessment of the vitreomacular interface (visibility of vitreous interface, vitreomacular adhesion, vitreomacular traction, epiretinal membrane, full‐thickness macular hole, lamellar macular hole, macular pseudo‐hole) and of the retina (retinoschisis, drusen, pigment epithelium detachment, hyper‐reflective clumps, retinal pigment epithelium atrophy, intraretinal cystoid spaces, intraretinal tubular changes, subretinal fluid, subretinal material). Classifications according to size and location are defined. Illustrations of each item are provided, as well as the grading form. Conclusion The E3 SD‐OCT classification has been developed to harmonize epidemiological studies. This homogenization will allow comparing and sharing data collection between European and international studies.

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“…Although the typical presentation of an ERM is metamorphopsia, the symptoms can range from asymptomatic to severely decreased visual acuity (VA) (Stevenson et al. ). The prevalence of ERM has been variously reported from 2.2% to 28.9%, depending on the population studied (You et al.…”

Section: Introductionmentioning

confidence: 99%

Comparison of MultiColor fundus imaging and colour fundus photography in the evaluation of epiretinal membrane

Song

Moon

Jang

et al. 2018

Acta Ophthalmologica

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Purpose To compare MultiColor fundus imaging (MC) and colour fundus photography (CFP) for the evaluation of epiretinal membrane (ERM). Methods In this retrospective study, 192 eyes (181 patients) that underwent vitrectomy for ERM were imaged using Spectralis optical coherence tomography (for MC) and AFC‐210 digital camera (for CFP) 1 week before vitrectomy. Two investigators independently determined the rate of delineability and ERM area for each modality. Results The intergrader agreement rates for delineability were very high for both image modalities. The rate of delineability of ERM (%) was higher for MC than for CFP, for both investigators [70.8% versus 52.6% and 73.4% versus 53.6% (both p –)]. Epiretinal membrane (ERM) area measurement showed high agreement between investigators for MC (p = 0.466) but differed significantly between the investigators for CFP (p –). The ERM area determined on MC was significantly wider than that on CFP for both investigators (p – for investigator 1 and p – for investigator 2). Conclusion The ERM area is more clearly detectable and widely demarcated in MC than in CFP images. MultiColor imaging (MC) may be more sensitive and accurate for early detection of ERM and ERM area measurement.

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Epiretinal membrane: optical coherence tomography-based diagnosis and classification

Cited by 109 publications

References 81 publications

A Randomized Double-Blind Placebo-Control Pilot Study of Eplerenone for the Treatment of Central Serous Chorioretinopathy (Ecselsior)

A Randomized Double-Blind Placebo-Control Pilot Study of Eplerenone for the Treatment of Central Serous Chorioretinopathy (Ecselsior)

The European Eye Epidemiology spectral‐domain optical coherence tomography classification of macular diseases for epidemiological studies

Comparison of MultiColor fundus imaging and colour fundus photography in the evaluation of epiretinal membrane

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