Application of new fundus imaging in diabetic retinopathy_Chinese Journal of Ocular Fundus Diseases

Authors：

Li Xiaoli ,  Meng Qianli , Xie Jie , Chen Xiangting , Huang Tian

Department of Ophthalmology, Guangdong General Hospital, Guangdong Eye Institute, Guangdong Academy of Medical Sciences, 515100 Guangzhou, ChinaLi Xiaoli, graduate student of Shantou University Medical College; Xie Jie, Chen Xiangting and Huang Tian are graduate students of South China University of Technology;

Corresponding author：

Meng Qianli, Email: mengqly@163.com

Keywords：

Diabetic retinopathy/diagnosis; Ophthalmoscopy; Microscopy, confocal; Tomography, optical coherence; Color fundus photography

DOI：

10.3760/cma.j.issn.1005-1015.2019.01.022

Video：

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Diabetic retinopathy (DR) is one of the most common causes of visual impairment and blindness in diabetic patients. It is particularly important to set up simpler, safer, non-invasive and highly effective methods for diagnosis as well as monitoring DR. A variety of new fundus imaging techniques show great advantages in early diagnosis, treatment and monitoring of DR in recent years. The main characteristics of wide-field scanning laser imaging system is achieving a large range of retinal image in a single photograph and without mydriasis. It provides several options for color images, FFA and FAF, which satisfy to detect the retina, choroid and vascular structure. Multi spectral fundus imaging system is suitable for DR screening, because it is able to recognize the typical characteristics of DR, such as microaneurysms, hemorrhage and exudation, and is non-invasive and convenient. OCT angiography is a quantitative examination that provides foveal avascular zone area, macular blood flow density, which provides strong evidence for DR diagnosis. The improvement of these new techniques will help us to build up a personalized evaluation system of DR.

Citation： Li Xiaoli, Meng Qianli, Xie Jie, Chen Xiangting, Huang Tian. Application of new fundus imaging in diabetic retinopathy. Chinese Journal of Ocular Fundus Diseases, 2019, 35(1): 90-94. doi: 10.3760/cma.j.issn.1005-1015.2019.01.022 Copy

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8.	Wessel MM, Aaker GD, Parlitsis G, et al. Ultra-wide-field angiography improves the detection and classification of diabetic retinopathy[J]. Retina, 2012, 32(4): 785-791. DOI: 10.1097/IAE.0b013e3182278b64.
9.	Zhang J, Yu Z, Liu L. Multimodality imaging in diagnosing polypoidal choroidal vasculopathy[J]. Optom Vis Sci, 2015, 92(1): 21-26. DOI: 10.1097/OPX.0000000000000440.
10.	Everdell NL, Styles IB, Calcagni A, et al. Multispectral imaging of the ocular fundus using light emitting diode illumination[J]. Rev Sci Instrum, 2010, 81(9): 093706. DOI: 10.1063/1.3478001.
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13.	Li S, Huang L, Bai Y, et al. In vivo study of retinal transmission function in different sections of the choroidal structure using multispectral imaging[J]. Invest Ophthalmol Vis Sci, 2015, 56(6): 3731-3742. DOI: 10.1167/iovs.14-15783.
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15.	Xia JT. Evaluation of the application value of LED multi-spectral imaging system in diabetic retinopathy[D]. Lanzhou University, 2016.
16.	Li L, Zhang P, Liu H, et al. Evaluation of multspectral imaging in diagnosing diabetic retinopathy[J/OL]. Retina, 2018, 2018: E1[2018-06-12]. http://dx.doi.org/10.1097/IAE.0000000000002225. DOI: 10.1097/IAE.0000000000002225. [published online ahead of print].
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20.	Tan AC, Fleckenstein M, Schmitz-Valckenberg S, et al. Clinical application of multicolor imaging technology[J]. Ophthalmologica, 2016, 236(1): 8-18. DOI: 10.1159/000446857.
21.	Gao SS, Liu G, Huang D, Jia Y. Optimization of the split-spectrum amplitude-decorrelation angiography algorithm on a spectral optical coherence tomography system[J]. Opt Lett, 2015, 40(10): 2305-2308. DOI: 10.1364/OL.40.002305.
22.	Jia Y, Tan O, Tokayer J, et al. Split-spectrum amplitude-decorrelation angiography with optical coherence tomography[J]. Opt Express, 2012, 20(4): 4710-4725. DOI: 10.1364/OE.20.004710.
23.	Rispoli M, Lumbroso B, Jia YL, et al. Clinical guide to angio-OCT: non invasive, dyeless OCT angiography[M]. New Delhi: New Delhi Jaypee Brothers Medical Publishers, 2015: 2-3.
24.	Spaide RF, Klancnik JM Jr, Cooney MJ. Retinal vascular layers imaged by fluorescein angiography and optical coherence tomography angiography[J]. JAMA Ophthalmol, 2015, 133(1): 45-50. DOI: 10.1001/jamaophthalmol.2014.3616.
25.	Tokayer J, Jia Y, Dhalla AH, et al. Blood flow velocity quantification using split-spectrum amplitude-decorrelation angiography with optical coherence tomography[J]. Biomed Opt Express, 2013, 4(10): 1909-1924. DOI: 10.1364/BOE.4.001909.
26.	Di G, Weihong Y, Xiao Z, et al. A morphological study of the foveal avascular zone in patients with diabetes mellitus using optical coherence tomography angiography[J]. Graefe's Arch Clin Exp Ophthalmol, 2016, 254(5): 873-879. DOI: 10.1007/s00417-015-3143-7.
27.	Lee J, Moon BG, Cho AR, et al. Optical coherence tomography angiography of DME and its association with anti-VEGF treatment response[J]. Ophthalmology, 2016, 123(11): 2368-2375. DOI: 10.1016/j.ophtha.2016.07.010.
28.	Parravano M, De Geronimo D, Scarinci F, et al. Diabetic microaneurysms internal reflectivity on spectral-domain optical coherence tomography and optical coherence tomography angiography detection[J]. Am J Ophthalmol, 2017, 179: 90-96. DOI: 10.1016/j.ajo.2017.04.021.

1. Witmer MT, Kiss S. Wide-field imaging of the retina[J]. Surv Ophthalmol, 2013, 58(2): 143-154. DOI: 10.1016/j.survophthal.2012.07.003.
2. Silva PS , El-Rami H , Barham R , et al. Hemorrhage and/or microaneurysm severity and count in ultrawide field images and early treatment diabetic retinopathy study photography[J]. Ophthalmology, 2017, 124(7): 970-976. DOI: 10.1016/j.ophtha.2017.02.012.
3. Price LD, Au S, Chong NV. Optomap ultrawide field imaging identifies additional retinal abnormalities in patients with diabetic retinopathy[J]. Clin Ophthalmol, 2015, 9: 527-531. DOI: 10.2147/OPTH.S79448.
4. Talks SJ, Manjunath V, Steel DH, et al. New vessels detected on wide-field imaging compared to two-field and seven-field imaging: implications for diabetic retinopathy screening image analysis[J]. Br J Ophthalmol, 2015, 99(12): 1606-1609. DOI: 10.1136/bjophthalmol-2015-306719.
5. Manjunath V, Papastavrou V, Steel DH. Wide-field imaging and OCT vs clinical evaluation of patients referred from diabetic retinopathy screening[J]. Eye (Lond), 2015, 29(3): 416-423. DOI: 10.1038/eye.2014.320.
6. Rabiolo A, Parravano M, Querques L, et al. Ultra-wide-field fluorescein angiography in diabetic retinpathy: a narrative review[J]. Clin Ophthalmol, 2017, 11: 803-807. DOI: 10.1016/j.ophtha.2015.07.034.
7. Friberg TR, Gupta A, Yu J, et al. Ultrawide angle fluorescein angiographic imaging: a comparison to conventional digital acquisition systems[J]. Ophthalmic Surg Lasers Imaging, 2008, 39(4): 304-311. DOI: 10.3928/15428877-20080701-06.
8. Wessel MM, Aaker GD, Parlitsis G, et al. Ultra-wide-field angiography improves the detection and classification of diabetic retinopathy[J]. Retina, 2012, 32(4): 785-791. DOI: 10.1097/IAE.0b013e3182278b64.
9. Zhang J, Yu Z, Liu L. Multimodality imaging in diagnosing polypoidal choroidal vasculopathy[J]. Optom Vis Sci, 2015, 92(1): 21-26. DOI: 10.1097/OPX.0000000000000440.
10. Everdell NL, Styles IB, Calcagni A, et al. Multispectral imaging of the ocular fundus using light emitting diode illumination[J]. Rev Sci Instrum, 2010, 81(9): 093706. DOI: 10.1063/1.3478001.
11. Calcagni A, Gibson JM, Styles IB, et al. Multispectral retinal image analysis: a novel non-invasive tool for retinal imaging[J]. Eye, 2011, 25(12): 1562-1569. DOI: 10.1038/eye.2011.202.
12. Zimmer C, Kahn D, Clayton R, et al. Innovation in diagnostic retinal imaging: multispectral imaging[J]. Retina Today, 2014, 10: 94-99.
13. Li S, Huang L, Bai Y, et al. In vivo study of retinal transmission function in different sections of the choroidal structure using multispectral imaging[J]. Invest Ophthalmol Vis Sci, 2015, 56(6): 3731-3742. DOI: 10.1167/iovs.14-15783.
14. Li XX. Multispectral fundus imaging for screening and diagnosis[M]. Beijing: Beijing Science & Technology Press, 2014: 32-37.
15. Xia JT. Evaluation of the application value of LED multi-spectral imaging system in diabetic retinopathy[D]. Lanzhou University, 2016.
16. Li L, Zhang P, Liu H, et al. Evaluation of multspectral imaging in diagnosing diabetic retinopathy[J/OL]. Retina, 2018, 2018: E1[2018-06-12]. http://dx.doi.org/10.1097/IAE.0000000000002225. DOI: 10.1097/IAE.0000000000002225. [published online ahead of print].
17. Ahmad MSZ, Carrim ZI. Multicolor scanning laser imaging in diabetic retinopathy[J]. Optom Vis Sci, 2017, 94(11): 1058-1061. DOI: 10.1097/OPX.0000000000001128.
18. The Diabetic Retinopathy Study Research Group. Indication for photocoagulation treatment of diabetic retinopathy: diabetic retinopathy study report NO.14[J]. Int Ophthalmol Clin, 1987, 27: 239-253. DOI: 10.1097/00004397-198702740-00004.
19. Muqit MM, Gray JC, Marcelino GR, et al. In vivo laser-tissue interactions and healing responses from 20-vs 100-millisecond pulse pascal photocoagulation burns[J]. Arch Ophthalmol, 2010, 128(4): 448-55. DOI: 10.1001/archophthalmol.2010.36.
20. Tan AC, Fleckenstein M, Schmitz-Valckenberg S, et al. Clinical application of multicolor imaging technology[J]. Ophthalmologica, 2016, 236(1): 8-18. DOI: 10.1159/000446857.
21. Gao SS, Liu G, Huang D, Jia Y. Optimization of the split-spectrum amplitude-decorrelation angiography algorithm on a spectral optical coherence tomography system[J]. Opt Lett, 2015, 40(10): 2305-2308. DOI: 10.1364/OL.40.002305.
22. Jia Y, Tan O, Tokayer J, et al. Split-spectrum amplitude-decorrelation angiography with optical coherence tomography[J]. Opt Express, 2012, 20(4): 4710-4725. DOI: 10.1364/OE.20.004710.
23. Rispoli M, Lumbroso B, Jia YL, et al. Clinical guide to angio-OCT: non invasive, dyeless OCT angiography[M]. New Delhi: New Delhi Jaypee Brothers Medical Publishers, 2015: 2-3.
24. Spaide RF, Klancnik JM Jr, Cooney MJ. Retinal vascular layers imaged by fluorescein angiography and optical coherence tomography angiography[J]. JAMA Ophthalmol, 2015, 133(1): 45-50. DOI: 10.1001/jamaophthalmol.2014.3616.
25. Tokayer J, Jia Y, Dhalla AH, et al. Blood flow velocity quantification using split-spectrum amplitude-decorrelation angiography with optical coherence tomography[J]. Biomed Opt Express, 2013, 4(10): 1909-1924. DOI: 10.1364/BOE.4.001909.
26. Di G, Weihong Y, Xiao Z, et al. A morphological study of the foveal avascular zone in patients with diabetes mellitus using optical coherence tomography angiography[J]. Graefe's Arch Clin Exp Ophthalmol, 2016, 254(5): 873-879. DOI: 10.1007/s00417-015-3143-7.
27. Lee J, Moon BG, Cho AR, et al. Optical coherence tomography angiography of DME and its association with anti-VEGF treatment response[J]. Ophthalmology, 2016, 123(11): 2368-2375. DOI: 10.1016/j.ophtha.2016.07.010.
28. Parravano M, De Geronimo D, Scarinci F, et al. Diabetic microaneurysms internal reflectivity on spectral-domain optical coherence tomography and optical coherence tomography angiography detection[J]. Am J Ophthalmol, 2017, 179: 90-96. DOI: 10.1016/j.ajo.2017.04.021.

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