Correlation analysis of macular microvascular structure and macular pigment opticaldensity in retinal vein occlusion_Chinese Journal of Ocular Fundus Diseases

Authors：

Ding Guolong , Wu Binghui , Suo Yan , Li Chan , Lu Huiqin , Zhang Hongbing ,  Wu Huiqin

Ophthalmology Hospital, Xi'an No.1 Hospital, Xi'an 710002, China;

Corresponding author：

Wu Huiqin, Email: wuhuiqin65@163.com

Keywords：

Retinal vein occlusion; Macular edema; Tomography, optical coherence; Regional blood flow; Macular pigment optical density

DOI：

10.3760/cma.j.cn511434-20210903-00488

Video：

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Objective To observe the changes of macular microvascular structure and macular pigment density (MPOD) in eyes with macular edema (ME) secondary to retinal vein occlusion (RVO), and preliminarily analyze their correlation. Methods A prospective clinical study. A total of 62 eyes of 62 patients with monocular RVO secondary ME (RVO-ME) diagnosed in the Ophthalmology Hospital of Xi'an No.1 Hospital from July 2020 to May 2021 were included in this study. There were 33 males with 33 eyes, 29 females with 29 eyes. The age was 58.30±12.15 years. The course of disease from the onset of symptoms to medical treatment was 12.29±7.65 days. All patients underwent best corrected visual acuity (BCVA), optical coherence tomography angiography (OCTA) and MPOD test. BCVA examination was performed using a standard logarithmic visual acuity chart, which was converted to logarithm of minimum angle of resolution (logMAR). The vascular density (VD), vascular skeletal density (SD), foveal avascular area (FAZ) and central macular thickness (CMT) of the superficial retinal capillary plexus (SCP) in the range of 3 mm×3 mm in the macular area of bilateral eyes were measured by OCTA. MPOD was measured by heterochromatic scintillation photometry. Bilateral eyes passed examination in 37 cases. The eyes of 25 patients failed to pass the test. The changes of macular VD, SD, FAZ area, CMT and MPOD between the affected eyes and the contralateral eyes were compared. The MPOD of the affected eye and the contralateral eye was compared by paired t test. FAZ area, CMT, VD, SD, and logMAR BCVA were tested by paired Wilcoxon signed rank sum test. Spearman rank correlation test was used to analyze the correlation between macular blood flow density (VD, SD) and foveal morphology (FAZ area, CMT) with logMAR BCVA and MPOD. Results Compared with contralateral eyes, VD (Z=－5.981) and SD (Z=－6.021) were decreased, FAZ area (Z=－2.598) and CMT (Z=－6.206) were increased, and the differences were statistically significant (P＜0.05). In 37 patients who passed MPOD test in bilateral eyes, the MPOD value of the affected eye was lower than that of the contralateral eye, and the difference was statistically significant (t=－2.930, P＜0.05). Compared with the affected eye which failed to pass the MPOD detection, macular VD (Z=－2.807) and SD (Z=－2.460) were increased, FAZ area (Z=－4.297) and CMT (Z=－3.796) were decreased in the affected eye which passed the MPOD test, and the differences were statistically significant (P＜0.05). Correlation analysis showed that logMAR BCVA in the affected eye was negatively correlated with macular VD and SD (r=－0.298, －0.461; P＜0.05), which was positively correlated with FAZ area and CMT (r=0.487, 0.789; P＜0.05). MPOD in the affected eye was negatively correlated with logMAR BCVA (r=－0.344, P＜0.05). MPOD in the contralateral eye was positively correlated with CMT (r=0.358, P＜0.05). Conclusions The VD and SD of macular SCP are decreased, FAZ area is enlarged, CMT is thickened, and MPOD is decreased in RVO-ME eyes. MPOD is negatively correlated with logMAR BCVA.

Citation： Ding Guolong, Wu Binghui, Suo Yan, Li Chan, Lu Huiqin, Zhang Hongbing, Wu Huiqin. Correlation analysis of macular microvascular structure and macular pigment opticaldensity in retinal vein occlusion. Chinese Journal of Ocular Fundus Diseases, 2022, 38(10): 835-839. doi: 10.3760/cma.j.cn511434-20210903-00488 Copy

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1. Rogers S, McIntosh RL, Cheung N, et al. The prevalence of retinal vein occlusion: pooled data from population studies from the United States, Europe, Asia, and Australia[J]. Ophthalmology, 2010, 117(2): 313-319. DOI: 10.1016/j.ophtha.2009.07.017.
2. Berry D, Thomas AS, Fekrat S, et al. Association of disorganization of retinal inner layers with ischemic index and visual acuity in central retinal vein occlusion[J]. Ophthalmol Retina, 2018, 2(11): 1125-1132. DOI: 10.1016/j.oret.2018.04.019.
3. Balaratnasingam C, Inoue M, Ahn S, et al. Visual acuity is correlated with the area of the foveal avascular zone in diabetic retinopathy and retinal vein occlusion[J]. Ophthalmology, 2016, 123(11): 2352-2367. DOI: 10.1016/j.ophtha.2016.07.008.
4. 巩迪. OCT血管成像技术在观察正常人及糖尿病患者的黄斑拱环大小及黄斑区血流密度方面的应用[D]. 北京: 北京协和医学院, 2016. DOI: 10.7666/d.Y3075643.Gong D. Application of OCT angiography in observing the size of macular arch and macular blood flow density in normal and diabetic patients[D]. Beijing: Peking Union Medical College, 2016. DOI: 10.7666/d.Y3075643.
5. Wang Q, Chan SY, Yan Y, et al. Optical coherence tomography angiography in retinal vein occlusions[J]. Graefe's Arch Clin Exp Ophthalmol, 2018, 256(9): 1615-1622. DOI: 10.1007/s00417-018-4038-1.
6. Kang JW, Yoo R, Jo YH, et al. Correlation of microvascular structures on optical coherence tomography angiography with visual acuity in retinal vein occlusion[J]. Retina, 2017, 37(9): 1700-1709. DOI: 10.1097/IAE.0000000000001403.
7. Paques M, Tadayoni R, Sercombe R, et al. Structural and hemodynamic analysis of the mouse retinal microcirculation[J]. Invest Ophthalmol Vis Sci, 2003, 44(11): 4960-4967. DOI: 10.1167/iovs.02-0738.
8. Hajdu D, Told R, Angeli O, et al. Identification of microvascular and morphological alterations in eyes with central retinal non-perfusion[J/OL]. PLoS One, 2020, 15(11): e0241753[2020-11-10]. https://pubmed.ncbi.nlm.nih.gov/33170872/. DOI: 10.1371/journal.pone.0241753.
9. Kim DY, Fingler J, Zawadzki RJ, et al. Noninvasive imaging of the foveal avascular zone with high-speed, phase-variance optical coherence tomography[J]. Invest Ophthalmol Vis Sci, 2012, 53(1): 85-92. DOI: 10.1167/iovs.11-8249.
10. Bringmann A, Pannicke T, Grosche J, et al. Müller cells in the healthy and diseased retina[J]. Prog Retin Eye Res, 2006, 25(4): 397-424. DOI: 10.1016/j.preteyeres.2006.05.003.
11. Cuenca N, Ortuño-Lizarán I, Sánchez-Sáez X, et al. Interpretation of OCT and OCTA images from a histological approach: clinical and experimental implications[J/OL]. Prog Retin Eye Res, 2020, 77: 100828[2020-07-01]. https://pubmed.ncbi.nlm.nih.gov/31911236/. DOI: 10.1016/j.preteyeres.2019.100828.
12. 吉宇莹, 文峰. 黄斑色素密度与眼底疾病相关性的研究现状[J]. 中华眼底病杂志, 2020, 36(6): 489-493. DOI: 10.3760/cma.j.cn511434-20190411-00141.Ji YY, Wen F. Macular pigment optical density and its relation with fundus disease[J]. Chin J Ocul Fundus Dis, 2020, 36(6): 489-493. DOI: 10.3760/cma.j.cn511434-20190411-00141.
13. Davey PG, Alvarez SD, Lee JY. Macular pigment optical density: repeatability, intereye correlation, and effect of ocular dominance[J]. Clin Ophthalmol, 2016, 10: 1671-1678. DOI: 10.2147/OPTH.S111708.
14. 张新媛, Stanley C, Gaetano B, 等. 黄斑色素与黄斑区视锥细胞功能相互关系的临床观察[J]. 中华眼底病杂志, 2003, 19(4): 213-216. DOI: 10.3760/j.issn:1005-1015.2003.04.005.Zhang XY, Stanley C, Gaetano B, et al. Clinical observation on the relationship between macular pigment and the function of macular cone cells[J]. Chin J Ocul Fundus Dis, 2003, 19(4): 213-216. DOI: 10.3760/j.issn:1005-1015.2003.04.005.
15. Lee Hong Nien, Fazliana Ismail, Rafidah Sudarno, 等. 黄斑色素光学密度、中央黄斑厚度与体重指数的关系[J]. 国际眼科杂志, 2019, 5(19): 709-713. DOI: 10.3980/j.issn.1672-5123.2019.5.01.Lee HN, Ismail F, Sudarno R, et al. Correlations among macular pigment optical density, central macular thickness and body mass index[J]. Int Eye Sci, 2019, 5(19): 709-713. DOI: 10.3980/j.issn.1672-5123.2019.5.01.

Chinese Journal of Ocular Fundus Diseases

Correlation analysis of macular microvascular structure and macular pigment opticaldensity in retinal vein occlusion

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