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We report a case of combined brilliant blue G and endoilluminator retinal toxicity in a patient who has undergone macular hole surgery. The patient developed extensive degeneration of the retinal pigment epithelium as early as 1 week following surgery that eventually lead to poor visual outcome. We look into the pathogenesis of BBG and endoilluminator causing retinal toxicity and also suggest measures to avoid this irreversible retinal damage.
RESUMO
We report the retinal and choroidal manifestations using multimodal imaging in a patient with Neurofibromatosis type 1 (NF-1). In this report, we describe the occurrence of a new retinal finding which we label as retinal caf�-au-lait macules. Also, we describe the superiority of multicolour imaging in comparison to colour fundus photography for identifying the retinal manifestations in NF-1.
RESUMO
Purpose: To study the utility and predictive ability of newer macular hole (MH) indices for closure following surgery. Methods: In this retrospective study, pre- and post-operative optical coherence tomography images of 49 eyes with idiopathic full-thickness MH were reviewed and analysed. Various quantitative parameters of MH like maximum outer diameter (OD), minimum diameter between edges, height, nasal and temporal arm lengths, macular hole angle were noted. Indices including hole form factor, Macular Hole Index, (MHI), Diameter Hole Index (DHI) and Tractional Hole Index (THI) were calculated. Newer area indices like macular hole area index (MAI), cystoid space area index (MCSAI) and tissue area index (MTAI) were calculated using Image J (Ver. 1.51). Receiver operating characteristic (ROC) curves and cut-off values were derived for indices predicting type 1 or type 2 closure. Stepwise regression analysis and binary logistic regression analysis were carried out to predict the chances of hole closure. Results: ROC curve analysis showed indices like MHI, THI and MCSAI were capable of successfully predicting type 1 closure while OD, DHI and MAI predicted type 2 closure. On stepwise regression analysis, MAI was identified as the most important index in predicting the type of hole closure. Using the binary logistic regression analysis, the predictive ability of the model to identify success or failure following MH surgery was 89.7% and 80% respectively. Conclusion: MAI measurement could be used as a single important index in predicting hole closure in idiopathic MH. Further research is required to study this area index in detail.