Choroidal thickness profile in inherited retinal diseases in Indian subjects
Purpose: To evaluate changes in choroidal thickness (CT) in inherited retinal diseases and its relationship with age, spherical equivalent, visual acuity, and macular thickness. Methods: Retrospective analysis of 51 eyes with features of retinal dystrophy of 26 subjects, who underwent enhanced depth...
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| Published in | Indian journal of ophthalmology Vol. 63; no. 5; pp. 391 - 393 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
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India
Medknow Publications
01.05.2015
Medknow Publications and Media Pvt. Ltd Medknow Publications & Media Pvt. Ltd Medknow Publications & Media Pvt Ltd Wolters Kluwer Medknow Publications |
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| Online Access | Get full text |
| ISSN | 0301-4738 1998-3689 1998-3689 |
| DOI | 10.4103/0301-4738.159862 |
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| Abstract | Purpose: To evaluate changes in choroidal thickness (CT) in inherited retinal diseases and its relationship with age, spherical equivalent, visual acuity, and macular thickness. Methods: Retrospective analysis of 51 eyes with features of retinal dystrophy of 26 subjects, who underwent enhanced depth imaging using spectral domain (SD) optical coherence tomography (OCT), were included. The CT measurements were made at the fovea and at 5 points with an interval of 500 microns in both directions, nasal and temporal from the fovea and were compared with age-matched healthy subjects. Step-wise regression was used to find the relationship between age, spherical equivalent, best-corrected visual acuity (BCVA), central macular thickness (CMT), and subfoveal CT. Results: Disease distribution was as follows: Stargardt′s disease 18 eyes (9 subjects); Best disease 5 eyes (3 subjects); cone-rod dystrophy 26 eyes (13 subjects); and Bietti′s crystalline dystrophy 2 eyes (1 subject). Mean subfoveal CT was 266.33 ± 76 microns. On regression analysis, no significant correlation was found between subfoveal CT and any other variable such as age (P = 0.9), gender (P = 0.5), CMT (P = 0.1), spherical equivalent (P = 0.3) and BCVA (P = 0.6). While comparing with age-matched healthy subjects, no significant statistical difference was noted (P < 0.05) among all age groups. Conclusion: Our study reports quantitative changes in CT in various common inherited retinal diseases seen in Indian populations. To validate changes in choroid, a longitudinal study with larger sample size is warranted. |
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| AbstractList | Purpose: To evaluate changes in choroidal thickness (CT) in inherited retinal diseases and its relationship with age, spherical equivalent, visual acuity, and macular thickness. Methods: Retrospective analysis of 51 eyes with features of retinal dystrophy of 26 subjects, who underwent enhanced depth imaging using spectral domain (SD) optical coherence tomography (OCT), were included. The CT measurements were made at the fovea and at 5 points with an interval of 500 microns in both directions, nasal and temporal from the fovea and were compared with age-matched healthy subjects. Step-wise regression was used to find the relationship between age, spherical equivalent, best-corrected visual acuity (BCVA), central macular thickness (CMT), and subfoveal CT. Results: Disease distribution was as follows: Stargardt′s disease 18 eyes (9 subjects); Best disease 5 eyes (3 subjects); cone-rod dystrophy 26 eyes (13 subjects); and Bietti′s crystalline dystrophy 2 eyes (1 subject). Mean subfoveal CT was 266.33 ± 76 microns. On regression analysis, no significant correlation was found between subfoveal CT and any other variable such as age (P = 0.9), gender (P = 0.5), CMT (P = 0.1), spherical equivalent (P = 0.3) and BCVA (P = 0.6). While comparing with age-matched healthy subjects, no significant statistical difference was noted (P < 0.05) among all age groups. Conclusion: Our study reports quantitative changes in CT in various common inherited retinal diseases seen in Indian populations. To validate changes in choroid, a longitudinal study with larger sample size is warranted. To evaluate changes in choroidal thickness (CT) in inherited retinal diseases and its relationship with age, spherical equivalent, visual acuity, and macular thickness. Retrospective analysis of 51 eyes with features of retinal dystrophy of 26 subjects, who underwent enhanced depth imaging using spectral domain (SD) optical coherence tomography (OCT), were included. The CT measurements were made at the fovea and at 5 points with an interval of 500 microns in both directions, nasal and temporal from the fovea and were compared with age-matched healthy subjects. Step-wise regression was used to find the relationship between age, spherical equivalent, best-corrected visual acuity (BCVA), central macular thickness (CMT), and subfoveal CT. Disease distribution was as follows: Stargardt's disease 18 eyes (9 subjects); Best disease 5 eyes (3 subjects); cone-rod dystrophy 26 eyes (13 subjects); and Bietti's crystalline dystrophy 2 eyes (1 subject). Mean subfoveal CT was 266.33 ± 76 microns. On regression analysis, no significant correlation was found between subfoveal CT and any other variable such as age (P = 0.9), gender (P = 0.5), CMT (P = 0.1), spherical equivalent (P = 0.3) and BCVA (P = 0.6). While comparing with age-matched healthy subjects, no significant statistical difference was noted (P < 0.05) among all age groups. Our study reports quantitative changes in CT in various common inherited retinal diseases seen in Indian populations. To validate changes in choroid, a longitudinal study with larger sample size is warranted. To evaluate changes in choroidal thickness (CT) in inherited retinal diseases and its relationship with age, spherical equivalent, visual acuity, and macular thickness.PURPOSETo evaluate changes in choroidal thickness (CT) in inherited retinal diseases and its relationship with age, spherical equivalent, visual acuity, and macular thickness.Retrospective analysis of 51 eyes with features of retinal dystrophy of 26 subjects, who underwent enhanced depth imaging using spectral domain (SD) optical coherence tomography (OCT), were included. The CT measurements were made at the fovea and at 5 points with an interval of 500 microns in both directions, nasal and temporal from the fovea and were compared with age-matched healthy subjects. Step-wise regression was used to find the relationship between age, spherical equivalent, best-corrected visual acuity (BCVA), central macular thickness (CMT), and subfoveal CT.METHODSRetrospective analysis of 51 eyes with features of retinal dystrophy of 26 subjects, who underwent enhanced depth imaging using spectral domain (SD) optical coherence tomography (OCT), were included. The CT measurements were made at the fovea and at 5 points with an interval of 500 microns in both directions, nasal and temporal from the fovea and were compared with age-matched healthy subjects. Step-wise regression was used to find the relationship between age, spherical equivalent, best-corrected visual acuity (BCVA), central macular thickness (CMT), and subfoveal CT.Disease distribution was as follows: Stargardt's disease 18 eyes (9 subjects); Best disease 5 eyes (3 subjects); cone-rod dystrophy 26 eyes (13 subjects); and Bietti's crystalline dystrophy 2 eyes (1 subject). Mean subfoveal CT was 266.33 ± 76 microns. On regression analysis, no significant correlation was found between subfoveal CT and any other variable such as age (P = 0.9), gender (P = 0.5), CMT (P = 0.1), spherical equivalent (P = 0.3) and BCVA (P = 0.6). While comparing with age-matched healthy subjects, no significant statistical difference was noted (P < 0.05) among all age groups.RESULTSDisease distribution was as follows: Stargardt's disease 18 eyes (9 subjects); Best disease 5 eyes (3 subjects); cone-rod dystrophy 26 eyes (13 subjects); and Bietti's crystalline dystrophy 2 eyes (1 subject). Mean subfoveal CT was 266.33 ± 76 microns. On regression analysis, no significant correlation was found between subfoveal CT and any other variable such as age (P = 0.9), gender (P = 0.5), CMT (P = 0.1), spherical equivalent (P = 0.3) and BCVA (P = 0.6). While comparing with age-matched healthy subjects, no significant statistical difference was noted (P < 0.05) among all age groups.Our study reports quantitative changes in CT in various common inherited retinal diseases seen in Indian populations. To validate changes in choroid, a longitudinal study with larger sample size is warranted.CONCLUSIONOur study reports quantitative changes in CT in various common inherited retinal diseases seen in Indian populations. To validate changes in choroid, a longitudinal study with larger sample size is warranted. Purpose: To evaluate changes in choroidal thickness (CT) in inherited retinal diseases and its relationship with age, spherical equivalent, visual acuity, and macular thickness. Methods: Retrospective analysis of 51 eyes with features of retinal dystrophy of 26 subjects, who underwent enhanced depth imaging using spectral domain (SD) optical coherence tomography (OCT), were included. The CT measurements were made at the fovea and at 5 points with an interval of 500 microns in both directions, nasal and temporal from the fovea and were compared with age-matched healthy subjects. Step-wise regression was used to find the relationship between age, spherical equivalent, best-corrected visual acuity (BCVA), central macular thickness (CMT), and subfoveal CT. Results: Disease distribution was as follows: Stargardt's disease 18 eyes (9 subjects); Best disease 5 eyes (3 subjects); cone-rod dystrophy 26 eyes (13 subjects); and Bietti's crystalline dystrophy 2 eyes (1 subject). Mean subfoveal CT was 266.33 +- 76 microns. On regression analysis, no significant correlation was found between subfoveal CT and any other variable such as age (P = 0.9), gender (P = 0.5), CMT (P = 0.1), spherical equivalent (P = 0.3) and BCVA (P = 0.6). While comparing with age-matched healthy subjects, no significant statistical difference was noted (P < 0.05) among all age groups. Conclusion: Our study reports quantitative changes in CT in various common inherited retinal diseases seen in Indian populations. To validate changes in choroid, a longitudinal study with larger sample size is warranted. |
| Audience | Professional |
| Author | Rani, Padmaja Jalali, Subhadra Nayaka, Ashraya Chhablani, Jay |
| AuthorAffiliation | Smt. Kanuri Santhamma Retina Vitreous Centre, L. V. Prasad Eye Institute, Hyderabad, Telangana, India |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26139798$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1016/S0002-9394(14)70212-0 10.1038/eye.1990.50 10.1016/S0002-9394(01)01184-9 10.1136/bjo.37.3.140 10.1167/iovs.10-5964 10.1111/j.1442-9071.2012.02867.x 10.1097/IAE.0B013E31822F5678 10.1167/iovs.11-8836 10.1097/IAE.0000000000000180 10.1016/j.ophtha.2012.06.065 10.1001/archopht.1972.01000030041008 10.1007/s00417-010-1437-3 |
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| SubjectTerms | Adult Age Age-related macular degeneration Analysis Care and treatment Choroid Choroid - pathology Choroidal imaging choroidal thickness Community Diabetic retinopathy digital imaging Disease en-face optical coherence tomography enhanced depth imaging technique Female Fluorescein Angiography - methods Follow-Up Studies Fundus Oculi Gender Genetic aspects Humans Incidence India - epidemiology Karnataka Internet-assisted Diagnosis of Retinopathy of Prematurity Macular degeneration Male Methods Photoreceptors polypoidal choroidal vasculopathy Population Regression analysis Retina - pathology Retinal diseases Retinal Diseases - diagnosis Retinal Diseases - epidemiology Retinal Diseases - genetics retinal dystrophies retinopathy of prematurity Retrospective Studies Studies swept source optical coherence tomography Symposium - Retinochoroidal Imaging telemedicine Thickness measurement Tomography Tomography, Optical Coherence - methods universal screening Visual Acuity |
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| Title | Choroidal thickness profile in inherited retinal diseases in Indian subjects |
| URI | http://www.ijo.in/article.asp?issn=0301-4738;year=2015;volume=63;issue=5;spage=391;epage=393;aulast=Chhablani;type=0 https://www.ncbi.nlm.nih.gov/pubmed/26139798 https://www.proquest.com/docview/1696245755 https://www.proquest.com/docview/1693712331 https://pubmed.ncbi.nlm.nih.gov/PMC4501133 https://doaj.org/article/c68a5cdc139848dd92f57bada0901795 |
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