Literature DB >> 31389212

Evaluation of Foveal Avascular Zone and Capillary Plexuses in Diabetic Patients by Optical Coherence Tomography Angiography.

Emine Ciloglu1, Fikret Unal2, Emine Alyamaç Sukgen2, Yusuf Koçluk2.   

Abstract

PURPOSE: To investigate the foveal avascular zone (AVZ), superficial and deep foveal and parafoveal vessel density (VD) changes related to diabetic retinopathy.
METHODS: Forty-nine type 2 diabetes mellitus (DM) and 45 healthy control subjects were included in this study. The demographic data (age and sex), disease duration, and level of glycated hemoglobin were collected. Superficial VD (%), superficial AVZ area (mm²), deep VD (%) and deep AVZ area (mm²) were evaluated via optic coherence tomography angiography.
RESULTS: Superficial AVZ was 0.438 ± 0.05 mm² in the DM group, 0.246 ± 0.022 mm² in the control group (p < 0.001). Deep AVZ was 0.732 ± 0.06 mm² in the DM group, and 0.342 ± 0.022 mm² in the control group (p < 0.001). Superficial foveal VD was 29.45 ± 0.76 mm² in the DM group, and 34.86 ± 0.75 mm² in the control group (p < 0.001). Deep foveal VD was 24.85 ± 1.08 mm² in the DM group, and 33.47 ± 0.56 mm² in the control group (p < 0.001).
CONCLUSIONS: In this study, we demonstrated an enlargement in the foveal AVZ along with a reduction in the vascular density of the superficial and deep capillary network in the foveal and parafoveal area using optic coherence tomography angiography in patients with nonproliferative diabetic retinopathy. This technique can be used to monitor the progression of the disease and to evaluate the response to treatment.
© 2019 The Korean Ophthalmological Society.

Entities:  

Keywords:  Capillary plexus; Diabetic retinopathy; Foveal avascular zone; Ischemia; Optic coherence tomography angiography

Mesh:

Year:  2019        PMID: 31389212      PMCID: PMC6685831          DOI: 10.3341/kjo.2018.0025

Source DB:  PubMed          Journal:  Korean J Ophthalmol        ISSN: 1011-8942


Optical coherence tomography angiography (OCTA) is a new imaging technique that enables detailed imaging of retinal veining by obtaining movement contrast of the erythrocytes in vessels through consecutive optic coherence tomography screenings of a specific retinal area. In contrast to fundus fluorescein angiography (FFA), this angiography method is noninvasive and requires no intravenous contrast materials [123456]. OCTA enables high resolution and rapid imaging of the blood stream in various layers of the retina, and also generates a three-dimensional image belonging to these vascular layers. This feature makes it possible to get a quantitative measurement of the neovascular formation areas as well as blood stream in these vessels. OCTA facilitates individual analysis of the distinct vascular layers of the retina, namely the superficial and deep capillary plexus. As imaging with FFA is limited with only superficial capillary plexus (SCP), OCTA is superior over FFA in terms of its use in the diagnosis of diseases that affect deep capillary plexus (DCP). This is a very important advantage since previous studies have shown that the most important vascular changes happen in DCP, and decreased perfusion, ischemia and neovascularizations in DCP are important in visual prognosis [1789]. In addition the en face imaging mode of OCTA enables imaging of a normal foveal avascular zone (FAZ) like in FFA. As the extension of FAZ is viewed before microaneurisms appear, and retinopathy is still reversible at this phase, it is very important to measure the FAZ area. Diabetes mellitus (DM) is characterized by capillary nonperfusion, vessel hyperpermeability and neovascularization. After the discovery that early detection and intervention was efficacious in preventing severe vision loss in patients with diabetic retinopathy (DR), subsequent research has focused on new methods for screening diabetic eyes. OCTA can detect the posterior pole in retinopathy and ischemia areas in the mid-peripheral retina. In OCTA, the shape and size of FAZ can be assessed and FAZ changes can be followed by revealing the deterioration in the perifoveal microvascular stream reaching the central macula [1011]. De Carlo et al. [12] reported with OCTA that FAZ was larger in diabetic eyes in comparison to healthy eyes. Takase et al. [13] reported that retinal microcirculation disorder in macula could be viewed with OCTA before DR develops in diabetic eyes. These vascular anomalies are reportedly seen more in DCP [14]. Pruning in macular capillaries, telangiectasia, microvascular loops, and loop increase in capillaries can also be detected with OCTA [615]. When using the AngioVue system, the retina-choroid layer is divided into four layers that include the SCP, DCP, outer retina and the choroidal vessels [161718]. The aim of this study was to investigate the FAZ, and superficial and deep foveal and parafoveal vessel density (VD) changes related to DR.

Materials and Methods

This study included type 2 diabetic patients with non-proliferative diabetic retinopathy (NPDR) and persons with healthy eyes as the control group. The control group included age-matched subjects who underwent routine ophthalmic examination to our clinic. This prospective cross-sectional observational case-control clinical study was performed according to the Declaration of Helsinki and was approved by the ethics committee (16-2017). All individuals were screened after informed consent was obtained. The right eyes of the control subjects and of type 2 DM patients with NPDR were included in the study. Demographic data (age and sex), disease duration, and level of glycated hemoglobin were also collected. Exclusion criteria for both groups were: the presence of glaucoma, age-related macular degeneration, retinal vascular occlusion, refractive error >6 diopters, ocular surgery, panretinal photocoagulation, intravitreal anti-vascular endothelial growth factor/steroid injection, and proliferative DR. In addition, the exclusion criteria for the control group included presence of DM. The diagnosis of DR was based on medical and ophthalmic history and full ophthalmic examination. DR was graded according to the Early Treatment of Diabetic Retinopathy Study classification. All patients underwent comprehensive ophthalmic examination, which included best corrected visual acuity, refractive error using autorefractometry, slit-lamp biomicroscopic and fundus examination. FFA and spectral-domain optical coherence tomography were used for retinal assessment. OCTA (Optovue RTVue XR Avanti; Optovue, Fremont, CA, USA) was used for macular retinal vascularization assessment. Superficial VD (%), superficial FAZ area (mm2), deep VD (%) and deep FAZ area (mm2) were evaluated. This instrument has an A-scan rate of 70,000 scans per second and uses a light source centered on 840 nm with a bandwidth of 45 nm. After setting the image scale to 3 × 3 mm in the software parameters, the FAZ area was evaluated in the superficial and deep vessel plexus using the nonflow area tool from the software, which automatically delineates the FAZ after selecting a segment of it. The superficial retinal, deep retinal vascular networks were generated by using an automated software algorithm (Fig. 1).
Fig. 1

Macular perfusion parameters of a 3 × 3 mm2 angiography scan size using optical coherence tomography angiography. The foveal avascular zone is automatically delineated by the software and represented by the color yellow.

The en face image was then automatically segmented with an inner boundary 3 µm beneath the internal limiting membrane and an outer boundary 15 µm beneath the inner plexiform layer to obtain images of the SCP. The segmentation was carried out with an inner boundary 15 µm beneath the inner plexiform layer and an outer boundary 70 µm beneath the inner plexiform layer in order to obtain DCP images. The parafoveal VD was calculated for the ring-shaped area between a 0.3 and 1.25 mm radius from the center of the macula. Parafoveal VD is defined as the percentage of total area occupied by vessels and microvasculature, and was quantified in the SCP and DCP. The AngioVue Analytics software (Optovue) was used to calculate the VD to extract a binary image of the blood vessels from the grey scale OCTA image and then calculate the percentage of pixels with flow signal greater than the threshold in the defined region (Fig. 2).
Fig. 2

Images of the macular region and the sections where vessel densities are calculated.

Statistical analyses were performed using the IBM SPSS Statistics ver. 20.0 (IBM Corp., Armonk, NY, USA). The Kolmogorov-Smirnov test was used to assess the appropriateness of calculations for a normal distribution. In parametric comparisons, the Student t-test was used for two independent groups. The Mann-Whitney U-test was used for variables without a normal distribution. A 5% level of significance was adopted and results with a p-value <0.05 were considered significant.

Results

Patients

Forty-nine DM (25 male, 24 female) and 45 healthy control subjects (25 male, 20 female) were included. The mean age was 56.61 ± 1.33 years in the DM group and 54.09 ± 1.49 yeaers in the control group. DM subjects had a mean disease duration of 13.65 ± 0.66 years (16 subjects had less than 10 years, 33 subjects had more than 10 years). All patients had NPDR, 26 (53%) patients had macular edema, 23 (47%) patients had not macular edema. The mean glycated hemoglobin A1c level was 6.8 ± 1.5%.

OCTA findings

Superficial avascular zone (AVZ) was 0.438 ± 0.05 mm2 in the DM group, and 0.246 ± 0.022 mm2 in the control group (p < 0.001). Deep AVZ was 0.732 ± 0.06 mm2 in the DM group, and 0.342 ± 0.022 mm2 in the control group (p < 0.001). Superficial foveal VD was 29.45 ± 0.76 mm2 in the DM group, and 34.86 ± 0.75 mm2 in the control group (p < 0.001). Deep foveal VD was 24.85 ± 1.08 mm2 in the DM group, and 33.47 ± 0.56 mm2 in the control group (p < 0.001). Parafoveal VD at the SCP and DCP was significantly decreased compared with that in the controls (p < 0.001) (Table 1). The patients with macular edema had a deeper AVZ than DM patients without edema (p < 0.05). No difference was observed between the groups with or without edema in terms of the other parameters (Table 2). There were ten patients with peripheral ischemia and 39 patients with no ischemia. We could not find any significant differences between the groups (Table 3). When parameters were evaluated according to duration of diabetes (<10 and >10 years), it was not significantly associated with any of the OCTA parameters in diabetic patients (Table 4).
Table 1

Baseline patient characteristics

Values are presented as the mean ± standard deviation.

NPDR = nonproliferative diabetic retinopathy; AVZ = avascular zone; VD = vessel density.

Table 2

The measurements in NPDR patients with or without DME

Values are presented as the mean ± standard deviation.

NPDR = nonproliferative diabetic retinopathy; DME = diabetic macular edema; AVZ = avascular zone; VD = vessel density.

Table 3

The measurements in NPDR patients with or without ischemia

Values are presented as the mean ± standard deviation.

NPDR = nonproliferative diabetic retinopathy; AVZ = avascular zone; VD = vessel density.

Table 4

The measurements of patients with diabetes for less than 10 years and more than 10 years

Values are presented as the mean ± standard deviation.

DM = diabetes mellitus; AVZ = avascular zone; VD = vessel density.

Discussion

In our study, we first aimed to compare diabetic patients with the non-diabetic healthy individuals. Then, we aimed to compare diabetic patients grouped according to duration of diabetes, presence of macular edema and peripheral ischemia. This study evaluated the FAZ area and VD of the foveal and parafoveal capillary network, using OCTA in patients with NPDR. Results from this study indicated that foveal and parafoveal VD in the SCP and DCP decreased and that foveal and parafoveal AVZ in the SCP and DCP increased when compared to the control subjects. It has been reported that retinal blood flow decreases in patients with type 2 DM who have no or mild DR, suggesting that the retinal microvasculature is impaired in early-stage DR, even in patients with no evidence of retinopathy [16]. Previous histologic studies have shown capillary nonperfusion to be an important feature of this vascular disease [17]. In the literature, there are a lot of studies reporting qualitative and quantitative OCTA metrics in diabetic patients [12131819]. Takase et al. [13] showed that in diabetic patients without DR, the FAZ is enlarged in the SCP and DCP. Freiberg et al. [14] reported FAZ diameter enlargement in DR, which was most pronounced in the DCP and correlated with visual acuity. Al-Sheikh et al. [20] found an enlargement of the AVZ area and a reduction in retinal capillary density in the SCP and DCP in eyes with DR. In our study, we also detected an increased AVZ in both the SCP and DCP of patients with NPDR in comparison to control subjects. OCTA and analytic software have facilitated automated processing of macular perfusion data. Kim et al. [18] have detected progressively decreasing capillary density, branching complexity and progressively increasing average vascular caliber in eyes with different stages of DR. They have not been able to detect a significant difference in these variables between healthy subjects and patients with mild nonproliferative DR. Agemy et al. [19] observed significantly reduced density in the SCP and DCP in mild NPDR in comparison to control subjects. Hwang et al. [10] described a similar decrease in VD in 12 patients with DR compared to healthy controls. Our findings were consistent with results from these studies; foveal VD was decreased at both the SCP and DCP. Additionally, we measured parafoveal VD. Similarly, it was decreased at both the SCP and DCP. Macular edema can develop in every stage of DR. Tang et al. [21] did not observe any statistically significant association between OCTA metrics and the presence of diabetic macular edema (DME) on SCP. Lee et al. [22] recently demonstrated that eyes with DME have an enlarged AVZ area and lower vascular density only at DCP, but not SCP, compared with eyes without DME. In our study, we observed an enlargement of deep AVZ in the eyes with DME compared to those without DME. This might be due to microvascular alternations occurring at the DCP, not at the superficial plexus during the pathogenesis of DME. However, it should be considered that Freiberg et al. [14] reported that the performance of the automated segmentation of the deep vascular layer is suboptimal in patients with DME. According to their report, the default definition of the borders of the deep vascular layer results in a fixed slab thickness of 55 microns. Thus, the outer vasculature of the deep vascular layer is regularly outside the slab. Measurement techniques that lead to more reliable results in DME can be developed. More work is needed in this regard. Multiple properties, including distance from the larger arterioles, proximity to high metabolic demand of the outer retina and the complexity of the vascular anatomical architecture may make the DCP more susceptible to diabetic damage [23]. In our study, there were ten patients with peripheral ischemia and 39 patients with no ischemia. There was no significant difference between the groups. After further subdivision of the DR group based on the duration of diabetes, we observed no difference at AVZ, VD at the SCP and DCP between the groups. The duration of diabetes is considered a risk factor for the development of retinopathy, so we anticipated that we would observe a difference between the groups. Although the two subgroups had different durations of diabetes, subjects from the two groups had similar baseline clinical findings like NPDR at the beginning. In conclusion, in this study, we demonstrated an enlargement in FAZ along with a reduction of vascular density of the superficial and deep capillary network in the foveal and parafoveal area using OCTA in patients with NPDR. Deeper AVZ was found in patients with DME compared to patients without DME. We found that the presence of peripheral ischemia did not affect the parameters in NPDR patients. To prove this, additional studies are needed. DM progressively impairs the microvascular structures of retinal vessels, resulting in DR. OCTA allows a precise visualization of these changes, circumventing the risk from invasive conventional angiography.
  21 in total

1.  Structural and functional changes in retinal vasculature induced by retinal ischemia-reperfusion in rats.

Authors:  Tsutomu Nakahara; Maya Hoshino; Shin-Ichiro Hoshino; Asami Mori; Kenji Sakamoto; Kunio Ishii
Journal:  Exp Eye Res       Date:  2015-02-26       Impact factor: 3.467

2.  Optical imaging of the chorioretinal vasculature in the living human eye.

Authors:  Dae Yu Kim; Jeff Fingler; Robert J Zawadzki; Susanna S Park; Lawrence S Morse; Daniel M Schwartz; Scott E Fraser; John S Werner
Journal:  Proc Natl Acad Sci U S A       Date:  2013-08-05       Impact factor: 11.205

3.  Retinal vascular layers imaged by fluorescein angiography and optical coherence tomography angiography.

Authors:  Richard F Spaide; James M Klancnik; Michael J Cooney
Journal:  JAMA Ophthalmol       Date:  2015-01       Impact factor: 7.389

Review 4.  Microvascular modifications in diabetic retinopathy.

Authors:  Jennifer T Durham; Ira M Herman
Journal:  Curr Diab Rep       Date:  2011-08       Impact factor: 4.810

5.  Quantitative optical coherence tomography angiography of vascular abnormalities in the living human eye.

Authors:  Yali Jia; Steven T Bailey; Thomas S Hwang; Scott M McClintic; Simon S Gao; Mark E Pennesi; Christina J Flaxel; Andreas K Lauer; David J Wilson; Joachim Hornegger; James G Fujimoto; David Huang
Journal:  Proc Natl Acad Sci U S A       Date:  2015-04-20       Impact factor: 11.205

6.  Paracentral acute middle maculopathy in nonischemic central retinal vein occlusion.

Authors:  Ehsan Rahimy; David Sarraf; Michael L Dollin; John D Pitcher; Allen C Ho
Journal:  Am J Ophthalmol       Date:  2014-05-01       Impact factor: 5.258

7.  Impaired retinal circulation in patients with type 2 diabetes mellitus: retinal laser Doppler velocimetry study.

Authors:  Taiji Nagaoka; Eiichi Sato; Atsushi Takahashi; Harumasa Yokota; Kenji Sogawa; Akitoshi Yoshida
Journal:  Invest Ophthalmol Vis Sci       Date:  2010-07-14       Impact factor: 4.799

8.  OCT Angiography of Paracentral Acute Middle Maculopathy Associated With Central Retinal Artery Occlusion and Deep Capillary Ischemia.

Authors:  Joseph G Christenbury; Michael A Klufas; Theodor C Sauer; David Sarraf
Journal:  Ophthalmic Surg Lasers Imaging Retina       Date:  2015-05       Impact factor: 1.300

9.  A morphological study of the foveal avascular zone in patients with diabetes mellitus using optical coherence tomography angiography.

Authors:  Gong Di; Yu Weihong; Zhang Xiao; Yang Zhikun; Zou Xuan; Qu Yi; Dong Fangtian
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2015-09-07       Impact factor: 3.117

10.  Optical coherence tomography angiography of the foveal avascular zone in diabetic retinopathy.

Authors:  Florentina J Freiberg; Maximilian Pfau; Juliana Wons; Magdalena A Wirth; Matthias D Becker; Stephan Michels
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2015-09-04       Impact factor: 3.117

View more
  5 in total

Review 1.  The role of Optical Coherence Tomography Angiography to detect early microvascular changes in Diabetic Retinopathy: a systematic review.

Authors:  Filipa Palma; Pedro Camacho
Journal:  J Diabetes Metab Disord       Date:  2021-09-16

2.  Quantitative assessment of vascular density in diabetic retinopathy subtypes with optical coherence tomography angiography.

Authors:  Fariba Ghassemi; Kaveh Fadakar; Sahar Berijani; Ameneh Babeli; Alireza Gholizadeh; Siamak Sabour
Journal:  BMC Ophthalmol       Date:  2021-02-12       Impact factor: 2.209

3.  Retinal Vascularization Abnormalities Studied by Optical Coherence Tomography Angiography (OCTA) in Type 2 Diabetic Patients with Moderate Diabetic Retinopathy.

Authors:  Guisela Fernández-Espinosa; Ana Boned-Murillo; Elvira Orduna-Hospital; María Dolores Díaz-Barreda; Ana Sánchez-Cano; Sofía Bielsa-Alonso; Javier Acha; Isabel Pinilla
Journal:  Diagnostics (Basel)       Date:  2022-02-01

4.  A Custom-Made Semiautomatic Analysis of Retinal Nonperfusion Areas After Dexamethasone for Diabetic Macular Edema.

Authors:  Lisa Toto; Rossella D'Aloisio; Antonio Maria Chiarelli; Luca Di Antonio; Federica Evangelista; Giada D'Onofrio; Arcangelo Merla; Mariacristina Parravano; Guido Di Marzio; Rodolfo Mastropasqua
Journal:  Transl Vis Sci Technol       Date:  2020-06-11       Impact factor: 3.283

Review 5.  Optical Coherence Tomography Angiography in Diabetic Patients: A Systematic Review.

Authors:  Ana Boned-Murillo; Henar Albertos-Arranz; María Dolores Diaz-Barreda; Elvira Orduna-Hospital; Ana Sánchez-Cano; Antonio Ferreras; Nicolás Cuenca; Isabel Pinilla
Journal:  Biomedicines       Date:  2021-12-31
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.