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All Journal IJRETINA - International Journal of Retina
Agrawal, Mohini
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Health Professions Medicine & Pharmacology Public Health

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Characteristics and topographical distribution of retinal thinning on optical coherence tomography in Schizophrenics and healthy Bista, Nabaratna; Shyamsundar, K; Agrawal, Mohini; Rajkarnikar, Sagar; Dhakal, Sachit; Thapa, Kamala; KC, Pradip; Jindal, Imroz
International Journal of Retina Vol 6 No 2 (2023): International Journal of Retina (IJRetina) - INAVRS
Publisher : Indonesian Vitreoretinal Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35479/ijretina.2023.vol006.iss002.228

Abstract

Introduction: To compare results of spectral-domain optical coherence tomography (SD-OCT) like retinal nerve fiber layer (RNFL) and macular thickness (MT) in Schizophrenic patients and healthy individuals. Method: Cross-sectional study. Forty schizophrenic patients and age-gender matched 40 healthy individuals were included in the study. Using SD-OCT, peripapillary RNFL thickness, MT, neuro-retinal rim area (NRR) and mean cup-to-disc ratio (CDR) were measured and compared in 4 quadrants. Results: Mean age of schizophrenic patients was 30.9±7.57years and healthy individuals was 29.65±5.53years (p>0.05). Mean duration of illness was 4.63±2.75 years. Schizophrenic patients showed a significant reduction in overall RNFL thickness (patients: 87.75±8.49µm in the right eye [RE] and 88.42±10.51µm in the left eye [LE]; healthy: 97.75±8.74µm RE and 98±8.744µm LE; p=0.0001 both eyes); except in temporal quadrant. Average MT (patients: 251.92±19.55µm RE and 249.37±22.24µm LE; healthy: 262.07±24.55µm RE and 260.92±23.37µm LE; p=0.044 RE and p=0.026 LE). However, there was no significant difference in central MT (p=0.52 RE, p=0.37 LE), NRR area (p=0.45 RE, p=0.11 LE) and mean CDR (p=0.26 RE, p=0.19 LE) between schizophrenics and healthy. Conclusion: RNFL and macular thickness reduces in schizophrenics when compared to normal, particularly in the superior, inferior and nasal quadrants.
Assessment of early and late dry age-related macular degeneration with spectral-domain optical coherence tomography and fundus autofluorescence Singh, Archana; Agrawal, Mohini; Vannadil, Harikrishnan; Bhatta, Sunandan
International Journal of Retina Vol 7 No 1 (2024): International Journal of Retina (IJRetina) - INAVRS
Publisher : Indonesian Vitreoretinal Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35479/ijretina.2024.vol007.iss001.264

Abstract

Aim: To assess features of early and late dry age-related macular degeneration (ARMD) using spectral-domain optical coherence tomography (SDOCT) versus fundus Autofluorescence (FAF). Method: Observational cross-sectional study conducted from January-2022 to December-2022 in a tertiary eye care center, India. Patients >55 years and clinically diagnosed dry ARMD underwent SDOCT and FAF. OCT and FAF were assessed and correlated with best-corrected visual acuity (BCVA). Results: 106 eyes of 60 cases were included. Mean age was 65.24+4.80 years. Mean BCVA was 0.4±0.24 LogMAR. Among clinically evident drusen, hard drusen (>63µm) was 88.6% (n=94 eyes), confluent soft-drusen 9% (n=10 eyes) and pigmentary changes at macula in 01 eye only. On OCT, 65% (n=69) eyes showed RPE irregularity, which was there in all the cases with soft drusen, whereas it varied in cases with hard drusen. On FAF, hypo/hyper was observed in 81 eyes (76%). When correlated with BCVA, RPE irregularity was not seen in cases with BCVA>6/12. An abnormality in macular autofluorescence was evident in 62% (n= 31) in cases with vision >6/12; whereas in cases with vision<6/18, it was seen in 80% (n=49) cases. A strong correlation was found between the OCT findings and abnormal FAF (kappa=0.60), suggesting comparable results by both the modalities in cases of early and late dry ARMD. Conclusion: OCT and FAF show good correlation in assessing early and late dry ARMD, thereby explaining the correlation between anatomical and biochemical changes. Thus, these can be used as a progression predictor, when used together.
Co-Authors Bhatta, Sunandan Bista, Nabaratna Dhakal, Sachit Jindal, Imroz KC, Pradip Rajkarnikar, Sagar Shyamsundar, K Singh, Archana Thapa, Kamala Vannadil, Harikrishnan