Red-Free Fundus Photograph and Fluoroscein Angiography Aggreement in Assessing Retinal Nonperfusion Area

Kurniawan Chalid (1) , Iskandar Erwin (2) , Rini Mayang (3)
(1) Department of Ophthalmology, Faculty of Medicine, Padjadjaran University National Eye Center Cicendo Eye Hospital, Bandung, West Java , India
(2) Department of Ophthalmology, Faculty of Medicine, Padjadjaran University National Eye Center Cicendo Eye Hospital, Bandung, West Java , Indonesia
(3) Department of Ophthalmology, Faculty of Medicine, Padjadjaran University National Eye Center Cicendo Eye Hospital, Bandung, West Java , Indonesia

Abstract

Background: Retinal nonperfusion area assessment in retinal vein occlusion (RVO) patient is valuable to evaluate progression, therapy, and prognosis. Noninvasive method such as red free fundus photograph that has been processed using a specific program are expected to have correspondence with fundus fluorescein angiography (FFA), as the gold standard in assessing nonperfusion area.

Methods: A cross-sectional study. 24 pairs of red free image and FFA were collected from RVO patients at Cicendo Eye Hospital selective consecutively admission from March until August 2013. Red free digital image processing was done by a technician and nonperfusion area was deliminated by a vitreoretina expert. Statistical analysis Wilcoxon signed ranks test was used to compared the nonperfusion area, Spearman correlation test to assessed the correlation coefficient, and the overlapping ratio was used to assessed the morphology suitability between two method.

Results: Nonperfusion area analysis between two method showed no statistical difference (Zw 4.257, p=0.161, Wilcoxon) and have a high correlation(r>0.988, p=0.000, Spearman). Suitability was determined by the ratio of morphology overlap that approaches one (overlapping ratio was 0.89).

Conclusion: Red free fundus photograph digital image processing has compatibility with the FFA in assessing nonperfusion area. It’s a noninvasive method, easy, safe, and can be used as an alternative for assessing nonperfusion area of RVO patients.

Keywords: Nonperfusion area, red free fundus photograph, FFA, retinal vein occlusion

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References

1. Louri M, Chen E, Looman M, Gallagher M. The burden of disease of retinal vein occlusion: review of the literature. Eye 2011 [diunduh 20 September 2012];1-8

2. Karial N. Retinal vein occlusion: pathophysiology and treatment options. Clinical Ophthalmology 2010 [diunduh 20 September 2012]; 4:809-16

3. American Academy of Ophthalmology. Section 12. Retina and vitreous. 2008-2009 ed. San Fransisco. The Foundation of the American Academy of Ophthalmology. 2008:5:107-131

4. Bhisitkul RB. Vascular endothelial growth factor biology: clinical implications for ocular treatment. Br J Ophthalmol. 2006 [diunduh 20 September 2012];90:1542-7

5. Boyd BF, Federman JL, Boyd S. Fluorescein angiography. Highlights of ophthalmology retinal and vitreoretinal surgery. Mastering the latest technique. Panama. Highlight Press. 2002. 17-32

6. Johnson R, McDonald H, Ai E, Jumper J, Fu A. Fluorescein Angiography: Basic Principles and Interpretation. Dalam: Ryan SJ. Retina. Edisi 3. China: Mosby. 2001

7. Tam J, Martin JA, Roorda A. Noninvasive visualization and analysis of parafoveal capillaries in humans. Invest Ophthalmol Vis Sci. 2010;51:1691-8

8. Squirrell D, Dinakaran S, Dhingra S, et al. Oral fluorescein angiography with the scanning laser ophthalmoscope in diabetic retinopathy: a case controlled comparison with intravenous fluorescein angiography. Eye. 2004;19:411–7

9. Shin YU, Lee BR, Kim S, Lee WJ. A novel noninvasive detection method for retinal nonperfusion using confocal red free imaging. Ophthalmology. 2012;119:1447-54

10. Saari JM, Summanen P, Kivela T, Saari KM. Sensitivity and specificity of digital retinal image in grading retinopathy. Acta Ophthalmologica Scandinavia. 2004. 2004;82(2):126-30

11. Sinthanayothin C, Boyce JF, Cook HL, Williamson TH. Automated localization of the disc, fovea, and retinal blood vessels from digital colour fundus image. Br J Ophthalmol. 1999;83:902-10

12. Gonzales, Refael C, Woods RE. Digital image processing. Conneticut: Prentice Hall. 2002

13. Jain Anil. Fundamental of digital image processing. Conneticut: Prentice Hall. 1989

14. Febiana M, Sovani I, Dahlan MR. Perbandingan peningkatan tajam penglihatan pada pasien BRVO dan CRVO yang dilakukan terapi injeksi intravitreal anti-VEGF dan kombinasi injeksi intravitreal anti-VEGF dengan laser fotokoagulasi. [Observasional]. Bandung: Universitas Padjadjaran, 2013

15. Jamal I, Akram MU, Tariq A. Retinal image preprocessing: background and noise segmentation. Telkomnika vol 10 No 3. July 2012.537-44

16. Hann CE, Revie JA, Hewett D, Chase JG, Shaw GM. Screening for diabetic retinopathy using computer vision and physiological markers. J Diabetes Sci Technol. 2009;3(4):819-34

17. Delori FC, Pflibsen KP. Spectral reflectance of the human ocular fundus. Applied Optics. 1989;28(6):1061-77

Authors

Kurniawan Chalid
author@perdami.or.id (Primary Contact)
Iskandar Erwin
Rini Mayang
Chalid, K., Erwin, I., & Mayang, R. (2016). Red-Free Fundus Photograph and Fluoroscein Angiography Aggreement in Assessing Retinal Nonperfusion Area. Ophthalmologica Indonesiana, 41(3). https://doi.org/10.35749/journal.v41i3.50
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Chalid, K., Erwin, I., & Mayang, R. (2016). Red-Free Fundus Photograph and Fluoroscein Angiography Aggreement in Assessing Retinal Nonperfusion Area. Ophthalmologica Indonesiana, 41(3). https://doi.org/10.35749/journal.v41i3.50