Multimodal imaging quantitative analysis of geographic atrophy in aged-related macular degeneration_Chinese Journal of Ocular Fundus Diseases

Authors：

Tian Meng , Li Shuang , Wang Jingjing ,  Wang Kang

Department of Ophthalmology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China;

Corresponding author：

Wang Kang, Email: bnbn2000@163.com

Keywords：

Macular degeneration; Geographic atrophy; Fluorescein angiography; Tomography, optical coherence

DOI：

10.3760/cma.j.issn.1005-1015.2017.06.006

Video：

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Objective To compare and quantitatively analyse the different characteristics of multimodal imaging of geographic atrophy (GA) in age-related macular degeneration (AMD). Methods The study included multimodel images of 32 eyes of 27 patients with GA secondary to AMD. There were 14 males (17 eyes) and 13 females (15 eyes). The age ranged from 64 to 83 years, with the mean age of (74.4±7.6) years. All eyes were examined by color fundus photography (CFP), fundus autofluorescence (FAF), fundus fluorescein angiography (FFA) and spectral domain optical coherence tomography (OCT). Using image J software, two trained ophthalmologists, operating in masked fashion, graded the area of lesions of CFP, FAF and FFA independently and compared the sizes of GA area. OCT was performed to confirm the border of lesion when FAF difficult to be determined. The results consistency of two ophthalmologists was analyzed by Bland-Altman. Results The results consistency was high of two ophthalmologists, with the variation range of FFA＜FAF＜CFP. The GA area of CFP, FAF and FFA were (19.81±13.03), (21.50±13.61), (23.10±14.29) mm². The difference of GA area between three multimodel images was statistically significant (F=0.466, P=0.629). Conclusion The mean size of GA measured by CFP, FAF and FFA showed no statistical difference.

Citation： Tian Meng, Li Shuang, Wang Jingjing, Wang Kang. Multimodal imaging quantitative analysis of geographic atrophy in aged-related macular degeneration. Chinese Journal of Ocular Fundus Diseases, 2017, 33(6): 580-583. doi: 10.3760/cma.j.issn.1005-1015.2017.06.006 Copy

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1. Resnikoff S, Pascolini D, Etya'ale D, et al. Global data on visual impairment in year 2002[J]. Bull World Health Organ, 2004, 82(11): 844-851. DOI: 10.1016/S0042-96862004001100009.
2. Chakravarthy U, Harding SP, Rogers CA, et al. Alternative treatments to inhibit VEGF in age-related choroidal neovascularisation: 2-year findings of the IVAN randomised controlled trial[J]. Lancet, 2013, 382(9900): 1258-1267. DOI: 10.1016/S0140-6736(13)61501-9.
3. Grunwald JE, Daniel E, Huang J, et al. Risk of geographic atrophy in the comparison of age-related macular degeneration treatments trials[J]. Ophthalmology, 2014, 121(1): 150-161. DOI: 10.1016/j.ophtha.2013.08.015.
4. Sikorav A, Semoun O, Zweifel S, et al. Prevalence and quantification of geographic atrophy associated with newly diagnosed and treatment-naïve exudative age-related macular degeneration[J]. Br J Ophthalmol, 2017, 101(4): 438-444. DOI: 10.1136/bjophthalmol-2015-308065.
5. Biarnés M, Arias L, Alonso J, et al. Increased fundus autofluorescence and progression of geographic atrophy secondary to age-related macular degeneration: the GAIN study[J]. Am J Ophthalmology, 2015, 160(2): 345-543. DOI: 10.1016/j.ajo.2015.05.009.
6. Simader C, Sayegh RG, Montuoro A, et al. A longitudinal comparison of spectral-domain optical coherence tomography and fundus autofluorescence in geographic atrophy[J]. Am J Ophthalmol, 2014, 158(3): 557-566. DOI: 10.1016/j.ajo.2014.05.026.
7. Danis RP, Domalpally A, Chew EY, et al. Methods and reproducibility of grading optimized digital color fundus photographs in the Age-related Eye Disease Study 2 (AREDS2 report number 2)[J]. Invest Ophthalmol Vis Sci, 2013, 54(7): 4848-4854. DOI: 10.1167/iovs.13-11804.
8. Nunes RP, Gregori G, Yehoshua Z, et al. Predicting the progression of geographic atrophy in age-related macular degeneration with SD-OCT en face imaging of the outer retina[J]. Ophthalmic Surg Lasers Imaging Retina, 2013, 44(4): 344-359. DOI: 10.3928/23258160-20130715-06.
9. Yehoshua Z, de Amorim Garcia Filho CA, Nunes RP, et al. Comparison of geographic atrophy growth rates using different imaging modalities in the COMPLETE study[J]. Ophthalmic Surg Lasers Imaging Retina, 2015, 46(4): 413-422. DOI: 10.3928/23258160-20150422-03.
10. Domalpally A, Danis R, Agrón E, et al. Evaluation of geographic atrophy from color photographs and fundus autofluorescence images: Age-related Eye Disease Study 2 Report Number 11[J]. Ophthalmology, 2016, 123(11): 2401-2407. DOI: 10.1016/j.ophtha.2016.06.025.
11. Lujan BJ, Rosenfeld PJ, Gregori G, et al. Spectral domain optical coherence tomographic imaging of geographic atrophy[J]. Ophthalmic Surg Lasers Imaging, 2009, 40(2): 96-101. DOI: 10.3928/15428877-20090301-16.
12. Schmitz-Valckenberg S, Fleckenstein M, Gobel AP, et al. Optical coherence tomography and autofluorescence findings in areas with geographic atrophy due to age-related macular degeneration[J]. Invest Ophthalmol Vis Sci, 2011, 52(1): 1-6. DOI: 10.1167/iovs.10-5619.

Chinese Journal of Ocular Fundus Diseases

Multimodal imaging quantitative analysis of geographic atrophy in aged-related macular degeneration

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