Abstract
Purpose
To investigate factors associated with macular vessel density and to analyze their effects according to glaucoma stage.
Study design
Retrospective cross-sectional study.
Methods
A total of 72 healthy eyes and 147 open-angle glaucomatous eyes were studied. All eyes underwent optical coherence tomography and visual field examinations. Clinical variables were compared according to the glaucoma stage. Relationships between macular vessel density (mVD) and other variables were analyzed using linear regression and segmented analyses.
Results
Age (P = 0.010) and signal strength (P < 0.001) were associated with macular vessel density in healthy eyes. In glaucomatous eyes, age, signal strength, ganglion cell-inner plexiform layer (GCIPL) thickness, and mean deviation (MD) correlated with macular vessel density (all P ≤ 0.005). When analyzed by glaucoma stage, age correlated with macular vessel density in early (P = 0.017 and all P ≤ 0.012, respectively) and moderate (P = 0.002 and all P ≤ 0.001, respectively) glaucoma. Conversely, GCIPL thickness was associated with macular vessel density (P = 0.004). According to segmented analysis between MD and mVD, the MD value at the change point for mVD was −17.92 dB, which was much lower than that for GCIPL thickness (−5.83 dB).
Conclusion
Signal strength was the most significant factor associated with macular vessel density in healthy and glaucomatous eyes. Other than signal strength, factors associated with macular vessel density of glaucomatous eyes vary according to the glaucoma stage. The segmented analysis suggests that mVD could be better than GCIPL thickness in predicting MD changes in moderate-to-advanced glaucoma.
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References
Weinreb RN, Aung T, Medeiros FA. The pathophysiology and treatment of glaucoma: a review. JAMA. 2014;311:1901–11.
Lee SY, Bae HW, Seong GJ, Kim CY. Diagnostic ability of swept-source and spectral-domain optical coherence tomography for glaucoma. Yonsei Med J. 2018;59:887–96.
Jia Y, Wei E, Wang X, Zhang X, Morrison JC, Parikh M, et al. Optical coherence tomography angiography of optic disc perfusion in glaucoma. Ophthalmology. 2014;121:1322–32.
Yarmohammadi A, Zangwill LM, Diniz-Filho A, Saunders LJ, Suh MH, Wu Z, et al. Peripapillary and macular vessel density in patients with glaucoma and single-hemifield visual field defect. Ophthalmology. 2017;124:709–19.
Liu L, Jia Y, Takusagawa HL, Pechauer AD, Edmunds B, Lombardi L, et al. Optical coherence tomography angiography of the peripapillary retina in glaucoma. JAMA Ophthalmol. 2015;133:1045–52.
Bojikian KD, Chen CL, Wen JC, Zhang Q, Xin C, Gupta D, et al. Optic disc perfusion in primary open angle and normal tension glaucoma eyes using optical coherence tomography-based microangiography. PLoS One. 2016;11:e0154691.
Rao HL, Pradhan ZS, Weinreb RN, Reddy HB, Riyazuddin M, Dasari S, et al. Regional comparisons of optical coherence tomography angiography vessel density in primary open-angle glaucoma. Am J Ophthalmol. 2016;171:75–83.
Triolo G, Rabiolo A, Shemonski ND, Fard A, Di Matteo F, Sacconi R, et al. Optical coherence tomography angiography macular and peripapillary vessel perfusion density in healthy subjects, glaucoma suspects, and glaucoma patients. Invest Ophthalmol Vis Sci. 2017;58:5713–22.
Suwan Y, Fard MA, Geyman LS, Tantraworasin A, Chui TY, Rosen RB, et al. Association of myopia with peripapillary perfused capillary density in patients with glaucoma: an optical coherence tomography angiography study. JAMA Ophthalmol. 2018;136:507–13.
Rao HL, Pradhan ZS, Weinreb RN, Reddy HB, Riyazuddin M, Sachdeva S, et al. Determinants of peripapillary and macular vessel densities measured by optical coherence tomography angiography in normal eyes. J Glaucoma. 2017;26:491–7.
Anderson DR, Patella VM. Automated static perimetry. Maryland: Mosby; 1999.
Rowe F. Visual field artefacts and errors of interpretation. In: Rowe F, editor. Visual fields via the visual pathway. Hoboken: CRC Press; 2016. p. 365–84.
Nolan JM, Stringham JM, Beatty S, Snodderly DM. Spatial profile of macular pigment and its relationship to foveal architecture. Invest Ophthalmol Vis Sci. 2008;49:2134–42.
Hood DC, Raza AS, de Moraes CG, Liebmann JM, Ritch R. Glaucomatous damage of the macula. Prog Retin Eye Res. 2013;32:1–21.
An L, Johnstone M, Wang RK. Optical microangiography provides correlation between microstructure and microvasculature of optic nerve head in human subjects. J Biomed Opt. 2012;17:116018.
Zhang A, Zhang Q, Chen CL, Wang RK. Methods and algorithms for optical coherence tomography-based angiography: a review and comparison. J Biomed Opt. 2015;20:100901.
Rosenfeld PJ, Durbin MK, Roisman L, Zheng F, Miller A, Robbins G, et al. ZEISS angioplex spectral domain optical coherence tomography angiography: technical aspects. Dev Ophthalmol. 2016;56:18–29.
Fong Y, Huang Y, Gilbert PB, Permar SR. chngpt: threshold regression model estimation and inference. BMC Bioinformatics. 2017;18:454.
Xu H, Yu J, Kong X, Sun X, Jiang C. Macular microvasculature alterations in patients with primary open-angle glaucoma: a cross-sectional study. Med (Baltim). 2016;95:e4341.
Chen HS, Liu CH, Wu WC, Tseng HJ, Lee YS. Optical coherence tomography angiography of the superficial microvasculature in the macular and peripapillary areas in glaucomatous and healthy eyes. Invest Ophthalmol Vis Sci. 2017;58:3637–45.
Shin JW, Lee J, Kwon J, Jo Y, Jeong D, Shon G, et al. Relationship between macular vessel density and central visual field sensitivity at different glaucoma stages. Br J Ophthalmol. 2019;103:1827–33.
Wang Q, Chan S, Yang JY, You B, Wang YX, Jonas JB, et al. Vascular density in retina and choriocapillaris as measured by optical coherence tomography angiography. Am J Ophthalmol. 2016;168:95–109.
Uchida N, Ishida K, Anraku A, Takeyama A, Tomita G. Macular vessel density in untreated normal tension glaucoma with a hemifield defect. Jpn J Ophthalmol. 2019;63:457–66.
Chung JK, Hwang YH, Wi JM, Kim M, Jung JJ. Glaucoma diagnostic ability of the optical coherence tomography angiography vessel density parameters. Curr Eye Res. 2017;42:1458–67.
Rao HL, Riyazuddin M, Dasari S, Puttaiah NK, Pradhan ZS, Weinreb RN, et al. Diagnostic abilities of the optical microangiography parameters of the 3x3 mm and 6x6 mm macular scans in glaucoma. J Glaucoma. 2018;27:496–503.
Takusagawa HL, Liu L, Ma KN, Jia Y, Gao SS, Zhang M, et al. Projection-resolved optical coherence tomography angiography of macular retinal circulation in glaucoma. Ophthalmology. 2017;124:1589–99.
Lim HB, Kim YW, Kim JM, Jo YJ, Kim JY. The importance of signal strength in quantitative assessment of retinal vessel density using optical coherence tomography angiography. Sci Rep. 2018;8:12897.
Venugopal JP, Rao HL, Weinreb RN, Pradhan ZS, Dasari S, Riyazuddin M, et al. Repeatability of vessel density measurements of optical coherence tomography angiography in normal and glaucoma eyes. Br J Ophthalmol. 2018;102:352–7.
Gao SS, Jia Y, Liu L, Zhang M, Takusagawa HL, Morrison JC, et al. Compensation for reflectance variation in vessel density quantification by optical coherence tomography angiography. Invest Ophthalmol Vis Sci. 2016;57:4485–92.
Wu J, Sebastian RT, Chu CJ, McGregor F, Dick AD, Liu L. Reduced macular vessel density and capillary perfusion in glaucoma detected using OCT angiography. Curr Eye Res. 2019;44:533–40.
Shahlaee A, Samara WA, Hsu J, Say EA, Khan MA, Sridhar J, et al. In vivo assessment of macular vascular density in healthy human eyes using optical coherence tomography angiography. Am J Ophthalmol. 2016;165:39–46.
Lim HB, Lee MW, Park JH, Kim K, Jo YJ, Kim JY. Changes in ganglion cell-inner plexiform layer thickness and retinal microvasculature in hypertension: an optical coherence tomography angiography study. Am J Ophthalmol. 2019;199:167–76.
Richter GM, Madi I, Chu Z, Burkemper B, Chang R, Zaman A, et al. Structural and functional associations of macular microcirculation in the ganglion cell-inner plexiform layer in glaucoma using optical coherence tomography angiography. J Glaucoma. 2018;27:281–90.
Bowd C, Zangwill LM, Weinreb RN, Medeiros FA, Belghith A. Estimating optical coherence tomography structural measurement floors to improve detection of progression in advanced glaucoma. Am J Ophthalmol. 2017;175:37–44.
Moghimi S, Bowd C, Zangwill LM, Penteado RC, Hasenstab K, Hou H, et al. Measurement floors and dynamic ranges of OCT and OCT angiography in glaucoma. Ophthalmology. 2019;126:980–8.
Funding
This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (no. NRF-2019R1F1A1061795). The funding organization played no role in the design or conduct of the study.
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Administrative, technical, or material support: LSY, SGJ, KCY, BHW. Supervision: LK, BHW.
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Corresponding Author: Hyoung Won Bae
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Lee, K., Park, C.K., Kim, E.W. et al. Factors associated with macular vessel density measured by optical coherence tomography angiography in healthy and glaucomatous eyes. Jpn J Ophthalmol 64, 524–532 (2020). https://doi.org/10.1007/s10384-020-00757-w
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DOI: https://doi.org/10.1007/s10384-020-00757-w