Optical Coherence Tomography Angiography in Type 1 Diabetes Mellitus. Report 1: Diabetic Retinopathy

Marina Barraso, Aníbal Alé-Chilet, Teresa Hernández, Cristian Oliva, Irene Vinagre, Emilio Ortega, Marc Figueras-Roca, Anna Sala-Puigdollers, Cristina Esquinas, Enric Esmatjes, Alfredo Adán, Javier Zarranz-Ventura, Marina Barraso, Aníbal Alé-Chilet, Teresa Hernández, Cristian Oliva, Irene Vinagre, Emilio Ortega, Marc Figueras-Roca, Anna Sala-Puigdollers, Cristina Esquinas, Enric Esmatjes, Alfredo Adán, Javier Zarranz-Ventura

Abstract

Purpose: The purpose of this study was to evaluate specifically in type 1 diabetes mellitus (DM) individuals the relationship between perifoveal superficial capillary plexus (SCP) parameters assessed by optical coherence tomography angiography (OCTA) and diabetic retinopathy (DR) grade.

Methods: Cross-sectional analysis of a large scale prospective OCTA trial cohort (ClinicalTrials.gov NCT03422965). A total of 1186 eyes (593 individuals), 956 type 1 DM eyes (478 patients), and 230 control eyes (115 healthy volunteers) were included in this study. DR stage was graded according to the International Classification. OCTA imaging was performed with a commercially available device (Cirrus HD-OCT). Vessel density (VD), perfusion density (PD), and foveal avascular zone (FAZ) area, perimeter and circularity measurements were quantified in the SCP and receiver operating characteristic (ROC) curves were constructed for each OCTA parameter.

Results: VD and PD (in both 3 × 3 and 6 × 6 mm captures) were inversely associated with DR stage (P < 0.001 in all cases) in a multiple regression analysis after controlling by age, gender, signal strength index, axial length, and DM duration. Greater FAZ area and perimeter and conversely lower circularity measurements were observed as DR severity increased in both scanning protocols (P < 0.05 in all cases).

Conclusions: In type 1 DM individuals, OCTA provides an objective, continuous, and reliable method for accurate quantification of VD, PD, and FAZ parameters in the SCP, which ultimately correlate with DR stages.

Translational relevance: Objective OCTA measurements of the retinal microvasculature could substitute the clinical DR classification in patients with type 1 DM, identify patients at risk of DR progression, and inform treatment decisions to modify the evolution of the disease.

Keywords: diabetic retinopathy; optical coherence tomography angiography; retinal blood flow; retinal imaging; type 1 diabetes mellitus.

Conflict of interest statement

Disclosure: M. Barraso, None; A. Alé-Chilet, None; T. Hernández, None; C. Oliva, None; I. Vinagre, None; E. Ortega, None; M. Figueras-Roca, None; A. Sala-Puigdollers, None; C. Esquinas, None; E. Esmatjes, None; A. Adán, None; J. Zarranz-Ventura, None

Copyright 2020 The Authors.

Figures

Figure 1.
Figure 1.
Consolidated standard of reporting trials (CONSORT)-style flow chart describing included and excluded eyes in the study and each individual optical coherence tomography angiography (OCTA) analysis. (*1 eye = ≥ 1 criteria for exclusion; VD = vessel density; PD = perfusion density; FAZ = foveal avascular zone; a = area; p = perimeter; c = circularity; SSI = signal strength index).
Figure 2.
Figure 2.
Optical coherence tomography angiography images of the superficial capillary plexus in study eyes. Examples of 3 × 3 mm (top row) and 6 × 6 mm (bottom row) OCTA captures of the control group (left) and different diabetic retinopathy (DR) stages showing progressively lower vessel density (VD) and perfusion density (PD), greater foveal avascular zone (FAZ) area. and perimeter and lower FAZ circularity in greater DR stages.
Figure 3.
Figure 3.
Vessel density (VD) and perfusion density (PD) measurements and diabetic retinopathy (DR) grade, after adjusting for age, gender, signal strength index (SSI), axial length and duration of diabetes mellitus disease. Top: VD (left) and PD (right) measurements in the complete scanned area using the 3 × 3 mm scanning protocol. Bottom: VD (left) and PD (right) measurements in the complete scanned area using the 6 × 6 mm scanning protocol. Generalized Estimating Equation (GEE) adjusted for age, gender, signal strength index (SSI), axial length, and duration of diabetes mellitus disease for global P value; pairwise comparisons by Kruskal-Wallis test with Bonferroni correction. P < 0.05: (a) vs. Control; (b) vs. No DR; (c) vs. Mild DR; (d) vs. Moderate DR; (e) vs. Severe DR; (f) vs Proliferative DR (Total number of eyes [3 × 3/6 × 6]: control 189/183, no DR 504/503, mild NPDR 202/198, moderate NPDR 29/30, severe NPDR 4/3, PDR 10/10).
Figure 4.
Figure 4.
Foveal Avascular Zone (FAZ) measurements and diabetic retinopathy (DR) grade after adjusting for gender, age, SSI, axial length, and duration of diabetes mellitus disease. Top: FAZ area (left), perimeter (middle), and circularity (right) measurements in the complete scanned area using the 3 × 3 mm scanning protocol. Bottom: FAZ area (left), perimeter (middle), and circularity (right) measurements in the complete scanned area using the 6 × 6 mm scanning protocol. Generalized Estimating Equation (GEE) adjusted for age, gender, signal strength index (SSI), axial length, and duration of diabetes mellitus disease for global P value; pairwise comparisons by Kruskal-Wallis test with Bonferroni correction. P < 0.05: (a) vs. Control; (b) vs. No DR; (c) vs Mild DR; (d) vs Moderate DR; (e) vs Severe DR; (f) vs Proliferative DR. (Total number of eyes [3 × 3/6 × 6]: control 174/169, no DR 470/461, mild NPDR 180/178, moderate NPDR 26/26, severe NPDR 3/2, PDR 8/8).
Figure 5.
Figure 5.
Receiver operating curves (ROC) of Optical Coherence Tomography Angiography (OCTA) parameters in 3 × 3 mm scans. Subgroup analysis by controls (left column), patients with type 1 diabetes mellitus with no diabetic retinopathy (middle column) and with diabetic retinopathy (mild, moderate, and severe nonproliferative and proliferative diabetic retinopathy)(right column). Top row: vessel density; Top-middle row: perfusion density; Middle row: Foveal Avascular Zone (FAZ) area; Middle-bottom row: FAZ perimeter; Bottom row: FAZ circularity. AUC, area under the curve; CI, confidence interval.

References

    1. Zhang K, Ferreyra HA, Grob S, Bedell M, Zhang JJ. Diabetic Retinopathy. In: Retina. Elsevier; 2013: 925–939.
    1. Shah C. Diabetic retinopathy: a comprehensive review. Indian J Med Sci. 2008; 62: 500.
    1. Jia Y, Bailey ST, Hwang TS, et al. .. Quantitative optical coherence tomography angiography of vascular abnormalities in the living human eye. Proc Natl Acad Sci. 2015; 112: E2395–E2402.
    1. Ishibazawa A, Nagaoka T, Takahashi A, et al. .. Optical coherence tomography angiography in diabetic retinopathy: a prospective pilot study. Am J Ophthalmol. 2015; 160: 35–44.e1.
    1. Zarranz-Ventura J, Barraso M, Alé-Chilet A, et al. .. Evaluation of microvascular changes in the perifoveal vascular network using optical coherence tomography angiography (OCTA) in type I diabetes mellitus: a large scale prospective trial. BMC Med Imaging. 2019; 19: 91.
    1. Wu L. Classification of diabetic retinopathy and diabetic macular edema. World J Diabetes. 2013; 4: 290.
    1. Cao D, Yang D, Huang Z, et al. .. Optical coherence tomography angiography discerns preclinical diabetic retinopathy in eyes of patients with type 2 diabetes without clinical diabetic retinopathy. Acta Diabetol. 2018; 55: 469–477.
    1. Ting DSW, Tan GSW, Agrawal R, et al. .. Optical coherence tomographic angiography in type 2 diabetes and diabetic retinopathy. JAMA Ophthalmol. 2017; 135: 306–312.
    1. Zeng Y, Cao D, Yang D, et al. .. Retinal vasculature – function correlation in non- proliferative diabetic retinopathy. Doc Ophthalmol. 2019; 140: 129–138.
    1. Kim K, Kim ES, Yu SY. Optical coherence tomography angiography analysis of foveal microvascular changes and inner retinal layer thinning in patients with diabetes. Br J Ophthalmol. 2018; 102: 1226–1231.
    1. Lupidi M, Coscas G, Coscas F, et al. .. Retinal microvasculature in nonproliferative diabetic retinopathy: automated quantitative optical coherence tomography angiography assessment. Ophthalmic Res. 2017; 58: 131–141.
    1. Choi W, Waheed NK, Moult EM, et al. .. Ultrahigh speed swept source optical coherence tomography angiography of retinal and choriocapillaris alterations in diabetic patients with and without retinopathy. Retina. 2017; 37: 11–21.
    1. Tang FY, Ng DS, Lam A, et al. .. Determinants of quantitative optical coherence tomography angiography metrics in patients with diabetes. Sci Rep. 2017; 7: 2575.
    1. Conti FF, Qin VL, Rodrigues EB, et al. .. Choriocapillaris and retinal vascular plexus density of diabetic eyes using split-spectrum amplitude decorrelation spectral-domain optical coherence tomography angiography. Br J Ophthalmol. 2019; 103: 452–456.
    1. Onishi AC, Nesper PL, Roberts PK, et al. .. Importance of considering the middle capillary plexus on OCT angiography in diabetic retinopathy. Investig Ophthalmol Vis Sci. 2018; 59: 2167–2176.
    1. Vujosevic S, Muraca A, Gatti V, et al. .. Peripapillary microvascular and neural changes in diabetes mellitus: an OCT-angiography study. Investig Ophthalmol Vis Sci. 2018; 59: 5074–5081.
    1. Rosen RB, Andrade Romo JS, Krawitz BD, et al. .. Earliest evidence of preclinical diabetic retinopathy revealed using optical coherence tomography angiography perfused capillary density. Am J Ophthalmol. 2019; 203: 103–115.
    1. Shen C, Yan S, Du M, Zhao H, Shao L, Hu Y. Assessment of capillary dropout in the superficial retinal capillary plexus by optical coherence tomography angiography in the early stage of diabetic retinopathy. BMC Ophthalmol. 2018; 18: 113.
    1. Mastropasqua R, D'Aloisio R, Di Antonio L, et al. .. Widefield optical coherence tomography angiography in diabetic retinopathy. Acta Diabetol. 2019; 56: 1293–1303.
    1. Yang J, Wang E, Zhao X, et al. .. Optical coherence tomography angiography analysis of the choriocapillary layer in treatment-naïve diabetic eyes. Graefe's Arch Clin Exp Ophthalmol. 2019; 257: 1393–1399.
    1. Vujosevic S, Toma C, Villani E, et al. .. Early detection of microvascular changes in patients with diabetes mellitus without and with diabetic retinopathy: comparison between different swept-source OCT-A instruments. J Diabetes Res. 2019; 2019: 1–12.
    1. Rodrigues TM, Marques JP, Soares M, et al. .. Macular OCT-angiography parameters to predict the clinical stage of nonproliferative diabetic retinopathy: an exploratory analysis. Eye. 2019; 33: 1240–1247.
    1. Gozlan J, Ingrand P, Lichtwitz O, et al. .. Retinal microvascular alterations related to diabetes assessed by optical coherence tomography angiography. Medicine (Baltimore). 2017; 96: e6427.
    1. Carnevali A, Sacconi R, Corbelli E, et al. .. Optical coherence tomography angiography analysis of retinal vascular plexuses and choriocapillaris in patients with type 1 diabetes without diabetic retinopathy. Acta Diabetol. 2017; 54: 695–702.
    1. Sacconi R, Casaluci M, Borrelli E, et al. .. Multimodal imaging assessment of vascular and neurodegenerative retinal alterations in type 1 diabetic patients without fundoscopic signs of diabetic retinopathy. J Clin Med. 2019; 8: 1409.
    1. Li T, Jia Y, Wang S, et al. .. Retinal microvascular abnormalities in children with type 1 diabetes mellitus without visual impairment or diabetic retinopathy. Investig Ophthalmol Vis Sci. 2019; 60: 990–998.
    1. Gołębiewska J, Olechowski A, Wysocka-Mincewicz M, et al. .. Optical coherence tomography angiography vessel density in children with type 1 diabetes. Malik RA, ed. PLoS One. 2017; 12: e0186479.
    1. Niestrata-Ortiz M, Fichna P, Stankiewicz W, Stopa M. Enlargement of the foveal avascular zone detected by optical coherence tomography angiography in diabetic children without diabetic retinopathy. Graefe's Arch Clin Exp Ophthalmol. 2019; 257: 689–697.
    1. Mameli C, Invernizzi A, Bolchini A, et al. .. Analysis of retinal perfusion in children, adolescents, and young adults with type 1 diabetes using optical coherence tomography angiography. J Diabetes Res. 2019; 2019: 1–8.
    1. Inanc M, Tekin K, Kiziltoprak H, Ozalkak S, Doguizi S, Aycan Z. Changes in retinal microcirculation precede the clinical onset of diabetic retinopathy in children with type 1 diabetes mellitus. Am J Ophthalmol. 2019; 207: 37–44.
    1. Agemy SA, Scripsema NK, Shah CM, et al. .. Retinal vascular perfusion density mapping using optical coherence tomography angiography in normals and diabetic retinopathy patients. Retina. 2015; 35: 2353–2363.
    1. Coscas G, Lupidi M, Coscas F, Chhablani J, Cagini C. Optical coherence tomography angiography in healthy subjects and diabetic patients. Ophthalmologica. 2018; 239: 61–73.
    1. Kim AY, Chu Z, Shahidzadeh A, Wang RK, Puliafito CA, Kashani AH. Quantifying microvascular density and morphology in diabetic retinopathy using spectral-domain optical coherence tomography angiography. Investig Ophthalmol Vis Sci. 2016; 57: OCT362–OCT370.
    1. Dimitrova G, Chihara E, Takahashi H, Amano H, Okazaki K. Quantitative retinal optical coherence tomography angiography in patients with diabetes without diabetic retinopathy. Investig Ophthalmol Vis Sci. 2017; 58: 190–196.
    1. De Carlo TE, Chin AT, Bonini Filho MA, et al. .. Detection of microvascular changes in eyes of patients with diabetes but not clinical diabetic retinopathy using optical coherence tomography angiography. Retina. 2015; 35: 2364–2370.
    1. Hwang TS, Gao SS, Liu L, et al. .. Automated quantification of capillary nonperfusion using optical coherence tomography angiography in diabetic retinopathy. JAMA Ophthalmol. 2016; 134: 367–373.
    1. Nesper PL, Roberts PK, Onishi AC, et al. .. Quantifying microvascular abnormalities with increasing severity of diabetic retinopathy using optical coherence tomography angiography. Invest Ophthalmol Vis Sci. 2017; 58: BIO307–BIO315.
    1. Nesper PL, Soetikno BT, Zhang HF, Fawzi AA. OCT angiography and visible-light OCT in diabetic retinopathy. Vision Res. 2017; 139: 191–203.
    1. Carpineto P, Mastropasqua R, Marchini G, Toto L, Di Nicola M, Di Antonio L. Reproducibility and repeatability of foveal avascular zone measurements in healthy subjects by optical coherence tomography angiography. Br J Ophthalmol. 2016; 100: 671–676.
    1. Holmen IC, Konda SM, Pak JW, et al. .. Prevalence and severity of artifacts in optical coherence tomographic angiograms. JAMA Ophthalmol. 2020; 138: 119.
    1. Tang F, Sun Z, Wong R, et al. .. Relationship of intercapillary area with visual acuity in diabetes mellitus: an optical coherence tomography angiography study. Br J Ophthalmol. 2019; 103: 604–609.
    1. Samara WA, Shahlaee A, Adam MK, et al. .. Quantification of diabetic macular ischemia using optical coherence tomography angiography and its relationship with visual acuity. Ophthalmology. 2017; 124: 235–244.
    1. Tan F, Chen Q, Zhuang X, et al. .. Associated risk factors in the early stage of diabetic retinopathy. Eye Vis. 2019; 6: 23.

Source: PubMed

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