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Article

Morphology and Vessel Density of the Macula in Preterm Children Using Optical Coherence Tomography Angiography

by
Agnieszka Czeszyk
1,*,
Wojciech Hautz
1,
Maciej Jaworski
2,
Dorota Bulsiewicz
3 and
Justyna Czech-Kowalska
3
1
Department of Ophthalmology, Children’s Memorial Health Institute, 04-730 Warsaw, Poland
2
Department of Biochemistry, Radioimmunology and Experimental Medicine, The Children’s Memorial Health Institute, 04-730 Warsaw, Poland
3
Department of Neonatology and Neonatal Intensive Care, Children’s Memorial Health Institute, 04-730 Warsaw, Poland
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2022, 11(5), 1337; https://doi.org/10.3390/jcm11051337
Submission received: 12 January 2022 / Revised: 20 February 2022 / Accepted: 24 February 2022 / Published: 28 February 2022
(This article belongs to the Collection The Eye in Systemic Diseases)

Abstract

:
Background: Retinal morphology changes may be associated with prematurity and can lead to visual impairment. Optical coherence tomography angiography may contribute to understanding the pathomechanism of structural and vascular retinal impairment in premature children. The aim of this study was to assess an influence of prematurity, neonatal clinical characteristics, and a history of retinopathy of prematurity (ROP) on the morphology and retinal vascularity of macula in children. Methods: A case–control study of 123 preterm children and 86 full-term children was performed. The age of the subjects was 10.45 years (IQR: 8.12–12.77), while the age of the control group was 11.78 years (IQR: 8.81–13.79). Optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA, angio-OCT) were performed using RTVueXR Avanti (Optovue, Fremont, CA, USA). Ganglion cell complex (GCC), foveal thickness (FT), parafoveal thickness (PFT), size of foveal avascular zone (FAZ) in superficial plexus, superficial capillary vessel density (sVD), deep capillary vessel density (dVD), central choroidal thickness (CCT), and presence of macular hypoplasia were analyzed. The association between OCT/angio-OCT results and clinical characteristics including the degree of ROP and therapy requirements was assessed in preterm infants. Results: Foveal morphology was affected in preterm children with high incidence of foveal hypoplasia (24.77%). GCC was thinner in preterm children compared to controls: avgGG 93 μm vs. 100 μm, p < 0.001. No associations between GCC and gestational age (R = −0.085; p = 0.228) and birth weight (R = −0.054; p = 0.446) were found. FAZ in preterm group was smaller than in controls (0.13 ± 0.09 vs. 0.22 ± 0.09; p < 0.001). FAZ area correlated with gestational age (R = 0.456; p < 0.001) and birth weight (R = 0.472; p < 0.001). Deep vessel density in the fovea was higher in preterm children than in control group (p < 0.001). PFT was significantly lower in preterm children compared to control group. However, increased thickness in the fovea was noted in preterm children (p < 0.001). FT was inversely correlated with gestational age (R = −0.562; p < 0.001) and birth weight (R = −0.508, p < 0.001). CCT was lower in preterm children (312 μm vs. 337.5 μm, p < 0.001) Parameters of GCC and FT were higher in patients with ROP required treatment compared to patients without ROP and spontaneously regressed retinopathy. FAZ was smaller in patients with retinopathy than in preterm children without ROP. Conclusion: Prematurity has a significant negative impact on GCC, macular morphology, and vascularization. In premature children, decreased FAZ, increased FT, and vessel density were strongly associated with gestational age, birth weight, Apgar score, ROP stage, and treatment requirement. Optical coherence tomography angiography is a useful tool for detecting retinal changes in premature children.

1. Introduction

Retinopathy of prematurity (ROP) is vasoproliferative disorder that commonly occurs in preterm children and still remains an important cause of blindness in childhood worldwide. Retinal neovascularization develops due to production of vascular endothelial growth factor (VEGF) in response to the primary avascular retinal area [1,2,3,4]. The aim of currently available treatment is to decrease the level of VEGF directly by intravitreous injection of an anti-VEGF agent or to destroy the peripheral avascular retina with laser therapy or cryotherapy [5]. Visual outcome depends on ROP stage and treatment method. Children with a history of prematurity are reported to have higher risk of ocular disorders including reduced vision acuity, high refractive error, anisometropia, amblyopia, strabismus, glaucoma, cataract, and retinal detachment [1,2,3,6,7].
Children born preterm can have lower visual acuity despite normal-appearing fundus [8,9]. The differentiation and maturation of the fovea and retinal layers begin at 24 to 27 weeks after conception and finish at 8 months of age [10,11,12]. Preterm birth can lead to the disruption of normal retinal development. Abnormal foveal contour, foveal hypoplasia with absence of foveal depression, retention of inner retinal layers at foveal center, macula edema, retinoschisis, preretinal neovascularization, and retinal detachment have been reported in preterm children [2,3,13].
Optical coherence tomography (OCT) is a noninvasive technique which enables visualizing the structure of the retina, and dye-less optical coherence tomography angiography (OCTA, angio-OCT) additionally shows retinal and choroidal microcirculation [14,15]. OCTA enables a quantitative assessment of macular perfusion via detecting erythrocyte movement and provides high-resolution images of superficial and deep capillary plexuses of the foveal avascular zone [14,16]. OCT and OCT angiography allow measurements of the ganglion cell complex (GCC), retinal nerve fiber layers (RNFL), retinal thickness (RT), choroidal thickness (CT), foveal avascular zone (FAZ), and vessel density (VD) [14,17].
The ganglion cell complex is an indicator of nerve tissue damage. Assessment of progression of GCC changes is an essential tool in monitoring glaucoma or optic neuropathy and detecting optic nerve damage [18,19]. Ganglion cells are very sensitive to acute hypoxia, which causes their apoptosis [20]. Nerve tissue damage due to episodes of hypoxia during delivery or the neonatal period can affect the ganglion cell complex in premature children [21]. Changes in ganglion cell complex thickness have been reported in the literature in preterm children [22,23].
On the other hand, there are limited studies presenting choroidal changes including decreased thickness of the choroid in preterm children [24,25]. This finding is very important in the context of the choroid’s role in providing oxygen and nutrients to the external retina, being the only source of nutrition for the foveal avascular zone [26]. Additionally, there is a disrupted development of retinal vessels in preterm children. Vessel growth depends on oxygen gradient and chemical factors which are disturbed in prematurity. The critical period for foveal vasculature development is between 24 and 28 weeks of gestation. This is the reason why preterm birth can affect the foveal vasculature [27,28].
Changes in the vascular density and decreased size of the FAZ in preterm children compared to full-term controls have been reported in the literature [16,29,30,31].
The aim of the study was to assess an influence of prematurity, neonatal clinical characteristics, and a history of ROP on the morphology and retinal vascularity of macula in children using optical coherence tomography angiography (OCTA).

2. Material and Methods

This prospective, case–control study was conducted at the Department of Ophthalmology of The Children’s Memorial Health Institute in Warsaw between January 2016 and May 2021. The study was approved by the Bioethics Committee of The Children’s Memorial Health Institute (21/KBE/2019) and adhered to the tenets of the Declaration of Helsinki. Written informed consent was obtained from parents or the patient’s legal guardians and from patients ≥ 16 years old. Inclusion criteria for the study group were as follows: age ≤ 18 years and gestational age < 37 weeks. Exclusion criteria were as follows: ROP 4 and 5, as well as other concomitant retinal pathologies, such as hereditary retinal dystrophies, vitreoretinal diseases, media opacities including cataract preventing detailed imaging, history of uveitis, glaucoma, optic neuropathy, eye surgery, ocular trauma, or retinal detachment. Poor-quality scans due to low visual acuity or poor cooperation were also excluded. Analyzed scans had a signal strength index greater than 40 and no evidence of motion artefacts.
Control subjects were defined as having a normal ophthalmic examination and a best-corrected visual acuity (BCVA) of 0.0 according to logMAR chart, with no refractive error and no history of prematurity.
Data of neonatal characteristics were extracted from infants’ medical charts. Gestational age, birth weight, intrauterine growth restriction (IUGR) defined as birth weight < 10th percentile for gestational age, Apgar score, and stage of ROP including requirement of treatment were analyzed [32,33]. The indications for ROP treatment were based on the ETROP study [5].
All participants underwent a complete ophthalmological examination, including best-corrected visual acuity (BVCA) assessed with logMAR chart, anterior segment slit-lamp biomicroscopy, dilated fundus examination, and cycloplegic refraction using 1% tropicamide.
The spectral domain OCT (SD-OCT) and OCT angiography were performed using RTVue XR Avanti OCT with the AngioVue imaging system (Optovue, Fremont, CA, USA) and SSADA algorithm.
The GCC scan protocol consisted of one horizontal line with 7 mm scan length and 15 vertical lines with 7 mm scan length at 0.5 mm intervals centered at 1 mm temporally to the fovea. GCC thickness was measured as a distance between the internal limiting membrane (ILM) and the outer boundary of the inner plexiform layer (IPL) and was automatically calculated by the device (Figure 1). The RTVue XR Avanti measures GCC thickness separately in the superior (supGCC) and inferior (inf GCC) sector, as well as the average thickness in both sectors (avg GCC) [34].
A crossline scan was performed to obtain high-quality images of the retina and choroid. Choroidal thickness was measured manually, using a caliper in SD-OCT software. Choroidal thickness was defined as the distance between the hyperreflective line corresponding to the outer boundary of the retinal pigment epithelium (RPE) and the hyperreflective line corresponding to the chorioscleral border. The measurements were obtained in the subfoveal region, which was defined as the lowest point shown on the retinal images.
The presence of macular hypoplasia was analyzed on crossline scans according to classification presented by Thomas et al. [35].
OCTA was performed using 3 mm × 3 mm images of the macula centered on the foveola (Figure 2). Each OCTA en face image contains 304 × 304 pixels created from the intersection of 304 vertical and 304 horizontal B-scans [29]. AngioVue automatically segments the area into four layers: superficial capillary plexus layer (SP), deep capillary plexus layer (DP), outer retina layer, and choriocapillaries. Integrated automated algorithms provided by the machine software were used to quantify FAZ area (mm2) and macular vascular density (%). FAZ area was automatically calculated for superficial plexus [2,14]. The FAZ area is noted as an avascular region within the central fovea (Figure 3). It is measured at the thinnest point of the inner retina visible on OCTA B-scan with no vessels and blood flow, adjacent to the vascular area [3,10]. The foveal region is a 1 mm circle, while the parafoveal region is a ring with an internal diameter of 1 mm and external diameter of 3 mm [6]. Capillary vascular density in the macular and paramacular region was measured in both superficial and deep plexuses. Vessel density was calculated as the percentage area occupied by flowing blood vessels in the selecting region. The whole superficial capillary vessel density (wsVD), foveal superficial vessel density (fsVD), parafoveal superficial vessel density (psVD), whole deep vessel density (wdVD), foveal deep vessel density (fdVD), and parafoveal deep vessel density (pdVD) were analyzed.
Foveal thickness (FT) and parafoveal thickness (PFT) data were obtained from retinal maps, using the same device, and measured in micrometers (μm). Head stabilization was achieved with the standard chinrest and forehead support. Patients were asked to focus on an internal fixation target. Poor-quality scans, with motion artefacts or blurred images, were excluded [36]. The data collected from both eyes of the studied patients were analyzed.

3. Statistical Analysis

Nonparametric statistics were used. Data for categorical variables were presented as numbers and percentages, while continuous variables were presented as medians and interquartile ranges (IQRs). The Mann–Whitney test and Kruskal–Wallis test were used for comparisons of two and more than two groups, respectively. Correlation analysis was carried out by calculating Spearman’s R-value.
The subgroup analyses were performed in preterm children according to birth weight (<1500 g vs. ≥1500 g), gestational age (<28 weeks vs. ≥28 weeks), Apgar score (<4 in first minute), IUGR, ROP stage, and laser treatment requirement.
Statistica software v. 10 (StatSoft Inc., Tulsa, OK, USA) was used. A p-value less than 0.05 was considered significant.

4. Results

The clinical characteristics of the study group of 123 preterm children at the age of 10.45 years (IQR: 8.12–12.77) are presented in Table 1. A total of 203 eyes of 123 preterm children were included in the study, but 43 (17.5%) eyes were excluded from the analysis due to poor-quality images. Choroidal thickness was measurable in 179 eyes, while scans of 67 (27.2%) eyes were excluded due to movement artefacts. Good-quality OCT angiography images were available for 106 (43%) eyes of premature children. A comparison of clinical and ophthalmic characteristics between analyzed eyes and eyes excluded from the analysis in the study population of preterm children is presented in the Supplementary Materials (Table S1). The control group consisted of 86 healthy children (48 females, 38 males) at the age of 11.78 years (IQR: 8.81–13.79). A total of 171 eyes were analyzed. One eye was excluded due to poor-quality scans. Good-quality OCT angiography images were available for 133 (77.3%) eyes.

4.1. Macular Hypoplasia

Macular hypoplasia was present in 56 (24.77%) out of 226 eyes of preterm children. 20 eyes were excluded due to poor-quality scans. First-degree hypoplasia was noticed in 15 eyes (6.63%), second-degree hypoplasia was noticed in 11 eyes, (4.86%), third-degree hypoplasia was noticed in 20 eyes (8.84%), and fourth-degree hypoplasia was noticed in 10 eyes (4.42%). An irregular foveal contour with retinoschisis was noted in two eyes (0.88%).

4.2. Ganglion Cell Complex

The ganglion cell complex (regardless of location) was significantly thinner in preterm children than in healthy control group (Table 2). Additionally, GCC was thinner in patients with Apgar score < 4 and children with IUGR (Table 3). No correlations between GCC and gestational age (R = −0.085; p = 0.228) and birth weight (R = −0.054; p = 0.446) were found (Table 4).

4.3. Vessel Density

Superficial whole vessel density, as well as that in the superior and inferior quadrants, was lower in preterm children, whereas deep vessel density in the fovea was significantly higher in preterm children than in healthy controls (Table 2).
There was a correlation between parafoveal superficial vessel density and birth weight (R = 0.298; p = 0.002) but not gestational age (R = 0.184; p = 0.059). Higher density in the fovea was associated with lower gestational age (superficial: R = −0.376; p < 0.001, deep: R = −0.444; p < 0.001) and lower birth weight (superficial: R = −0.306; p < 0.001, deep: R = −0.339; p < 0.001) (Table 4). Lower parafoveal and higher foveal superficial vessel density were noted in children < 1500 g (Table 3).
Whole superficial vessel density was lower in patients with Apgar score < 4 (p = 0.046).
Superficial vessel density of the fovea was higher in preterm children than in the control group, but the difference was not significant (Table 2). No associations were found in whole deep and parafoveal deep vessel density. No significant differences between gestational age and whole superficial (R = 0.051; p = 0.604), whole deep (R = −0.451; p = 0.645), and parafoveal vessel density (superficial: R = 0.184; p = 0.059, deep: R = 0.044; p = 0.065) were found (Table 4). Birth weight did not have an influence on whole and parafoveal deep vessel density (Table 3). Additionally, no significant difference was found in density in patients born < 28 weeks comparing to ≥28 weeks and with IUGR (Table 3).

4.4. Foveal Avascular Zone

FAZ in the preterm group was significantly smaller compared to control patients (p < 0.001). There was a positive correlation between FAZ and gestational age (R = 0.456; p < 0.001) and birth weight (R = 0.47; p < 0.001) (Table 4). FAZ was significantly smaller in children born < 28 weeks than in children born ≥ 28 weeks and in children with birth weight < 1500 g than ≥1500 g (Table 3).

4.5. Retinal and Choroidal Thickness

Parameters of whole retinal thickness and parafoveal thickness were lower in preterm children than in healthy controls (Table 2). There was an inverse correlation between the foveal thickness and gestational age (R = −0.562; p < 0.001) and birth weight (R = −0.508; p < 0.001) (Table 4).
The retina was significantly thicker in the fovea of preterm children than healthy controls (Table 2). More immature children (gestational age: <28 weeks vs. ≥28 weeks) and with lower birth weight (<1500 g vs. ≥1500 g) had a thicker whole, foveal, and parafoveal retina (Table 3), but this was only statistically significant in the fovea (p < 0.001).
The choroid was significantly thinner in preterm children than in the healthy control group (312 vs. 337.5, p = 0.005) (Table 2).

4.6. The Influence of Stage of Retinopathy and Laser Treatment on OCT and OCTA Parameters

All examined eyes of preterm infants were divided into three groups regarding ROP history as follows: eyes without ROP (Group 0), eyes with ROP without treatment (Group 1), and eyes with ROP which required treatment (Group 2). Laser therapy was performed in all treated eyes; only one patient (two eyes) had laser therapy combined with ranibizumab injection. GCC was analyzed in 183 eyes. The remaining eyes had poor-quality images and, therefore, were excluded from the analysis. Good-quality OCTA scans were available for 89 eyes. The Kruskal–Wallis test showed a significantly thicker GCC in treated ROP eyes compared to eyes without ROP and with spontaneous regression of ROP (Table 5).
In OCT angiography, there was significant difference between eyes without ROP and treated ROP eyes in terms of superficial whole density, as well as foveal and parafoveal vessel density. Additionally, smaller deep foveal density was observed in eyes without ROP compared to eyes with regressed ROP. No associations in other parameters of vessel density between groups were found. Eyes following ROP treatment had higher foveal thickness compared to other eyes with ROP. Smaller FAZ was found in eyes with treated ROP in comparison to eyes without ROP or spontaneously regressed ROP (Table 5).

5. Discussion

It has been well documented that prematurity has a great impact on the development of retinal morphology and vascular network [1,2,3,6,7]. OCTA is a very useful, noninvasive method for visualization of the optic disc, retina, choroid, and their vasculature. It is very helpful in pediatric patients and enables detecting abnormalities that affect vision and cause amblyopia.
A critical period for macula development including the perifoveal vascular plexus, FAZ, and foveal pit formation is between 24 and 27 weeks post conception. The foveal pit is created due to migration of inner retinal neurons away from the fovea. FAZ forms in the process of apoptosis of foveal vessels. Preterm delivery disrupts this process and may have huge implications on visual acuity and retinal morphology [11,12,13].
The present prospective case–control study investigated the influence of prematurity, neonatal clinical characteristics, and diagnosis of ROP on macular morphology and retinal vascularity in preterm children. We found that the ganglion cell complex was thinner in preterm children compared to the control group; however, no associations with birth weight and gestational age were found. In contrast to our results, Yanni et al. and Rosen et al. found thicker GCC in preterm children [37,38]. Similarly to our study, Pueyo et al. noted ganglion cell damage in preterm children. GCC results were associated with low birth weight but not with gestational age [22]. Miki et al. also presented decreased GCC in preterm children compared to controls [23]. Neurological deficits but also the high retinal immaturity due to lower gestational age might result in differences in GCC data, and this requires further attention. Interestingly, the ganglion cell complex was thinner in patients with Apgar score < 4 and IUGR, which may suggest a negative impact of hypoxia and prolonged nutritional deficits during the vulnerable prenatal period of life. It might be speculated that severe hypoxemia at birth, as well as ROP, might disrupt further retinal vascularization with long-term consequences. As far as an association between ROP and Apgar score is concerned, it should be underlined that hypoxia at birth (Apgar score < 4) has been reported as a predictor of severe ROP [39,40,41]. On the other hand, other authors did not find any association between ROP including AP-ROP and Apgar score [42,43]. The significant limitations of Apgar score in the diagnosis of perinatal hypoxia in preterm infants should be underlined. It would be better to base the assessment on the more reliable markers of perinatal asphyxia as the result of an umbilical cord blood gas test. Unfortunately, such measurement was previously not a routine procedure in the delivery room. Therefore, the influence of low Apgar score on OCT/angio-OCT results should be interpreted with caution. The superficial vascular plexus begins to develop at around 21 weeks of gestation, while the deep vascular plexus begins to develop at around 25 to 26 weeks of gestation [44,45]. Therefore, prematurity has a great impact on the formation of both vascular plexuses. Lower superficial vessel density was noted in the preterm group compared to healthy controls but no difference in the deep vessel plexus was found. In addition to the fovea, increased vessel density was found in the superficial and deep plexus and was associated with lower gestational age and low birth weight. This might be the outcome of foveal immaturity and interruption of foveal apoptosis due to preterm birth. Similarly to our results, a significantly higher capillary density in both plexuses of the fovea was reported in the previous study [2,3,15].
Furthermore, FAZ area was smaller in preterm children than in healthy controls. Small FAZ was associated with low birth weight, lower gestational age, and a history of ROP. Apgar score did not have an impact on size of FAZ. Significantly decreased thickness of the choroid was noted in the preterm group. The choroid is the main source of nutrition for FAZ; hence, choroidal damage might implicate FAZ changes. In our study, FAZ was automatically calculated by software, whereas manual calculation is also used [15]. It should be underlined that no difference between manual and automated calculation of FAZ was reported [44,45,46]; thus, a comparison of such results is acceptable. Our study presented significantly smaller FAZ in preterm children than in the control group, similarly to the several previous reports [2,3,15,29,30]. The explanation for smaller FAZ in preterm babies is that the fovea is vascularized in the fetus. Retinal blood vessels are shown in the optic disc at 14 weeks of gestation and grow nasally and temporally, reaching the fovea at 22 weeks of gestation. They fully cover the macular area up to 25 weeks [28]. A further step of macular formation is vessel apoptosis to form the avascular zone after 36 weeks of gestation [13,41]. Therefore, children born before 30 weeks have smaller or absent FAZ. Children born after 36 weeks usually have normal FAZ [28,47]. A small FAZ might be a sign of prematurity in adults [47]. Balasubramanian et al. suggested that a small FAZ could be an indicator of worse visual outcomes of preterm babies [2]. Furthermore, in our study, FAZ changes were associated with lower visual acuity.
The absence of FAZ was typically associated with foveal depression and foveal hypoplasia. We included preterm children with foveal hypoplasia; however, in all cases, FAZ was measurable. In our study, almost 25% of preterm children had macular hypoplasia. Patients with third- and fourth-degree foveal hypoplasia did not manage to fixate properly to obtain good-quality scans; thus, measurement of FAZ was technically impossible.
Vinekar et al. did not notice differences in sVD and dVD according to birth weight, whereas FAZ was smaller in patients with birth weight < 1500 g [15]. Our results allow a similar conclusion regarding FAZ area, but we noted different parameters in foveal and perifoveal vessel density between groups.
Central choroidal thickness was lower in premature children similarly to previous reports [24,26]. Furthermore, retinal thickness in the fovea was higher in preterm children, which was also confirmed by other authors [2,3,29].
Main treatment methods for ROP currently available are anti-vascular endothelial growth factor (VEGF) intravitreal injections and laser photocoagulation [5]. Risk of delayed retinal maturation leading to a large area of the avascular zone is a possible side-effect of anti-VEGF treatment [48,49]. On the other hand, laser therapy is associated with risk of high myopia and glaucoma in patients and leads to peripheral visual field deficits in the area of laser spots [4,50]. The disadvantage of OCT and OCTA is the visualization of only the posterior pole and a lack of assessment of the peripheral retina following ROP changes. The negative influence of laser therapy on macular area in eyes following ROP treatment has been recently described [2,3,8,15]. In subgroup analysis based on ROP severity, we found a significantly thicker fovea in patients who required treatment. Additionally, we found increased GCC and foveal thickness in patients with ROP requiring laser therapy compared to the group without ROP or spontaneous ROP regression. This might suggest the severe immaturity of retinal layers in patients with more advanced ROP stages. FAZ area was smaller in all our ROP patients compared to children without ROP. Our findings are consistent with previous reports presenting a significant association between laser therapy and smaller FAZ and increased foveal thickness [2,3,8,15].
The present study compared OCT and angio-OCT parameters between preterm children and control full-term born children. The strength of our study is the large cohort consisting of 209 participants including 123 preterm children. The additional value is a comparison between subgroups based on neonatal characteristics. To the best of our knowledge, this is the first study widely describing comparisons of OCT/angio-OCT parameters in patients without ROP, spontaneously regressed ROP, and severe ROP in a population of preterm children. However, this study also had some limitations. Firstly, a quite large number of eyes were excluded from the analysis of angio-OCT parameters due to poor quality or lack of cooperation across preterm children. Children with a history of prematurity have difficulty obtaining proper fixation because of neurological deficits, low visual acuity, or nystagmus. Nevertheless, most GCC scans and crossline scans were successfully performed due to the short examination time, but the excluded eyes were those with worse pathology, poorer visual acuity, and higher refractive error. Additionally, lower gestational age and birth weight, as well as a higher prevalence of ROP and ROP treatment, were noted in excluded eyes than analyzed eyes in the case of GCC images. Additionally, younger patients with lower gestational age and ROP had a higher percentage of excluded OCTA images, which are more demanding and time-consuming to obtain. It might be expected that wider analysis with excluded eyes might strengthen our result or help to reveal differences in the other examined parameters of OCT/angio-OCT rather than cease proven differences between preterm children and healthy controls. However, OCTA parameters should be interpreted with caution because the selection bias cannot be neglected due to the higher percentage of excluded eyes from the analysis. Secondly, AngioVue software did not use skeletonized vessel density which might provide a more accurate assessment. Currently available handheld OCT angiography will hopefully provide additional value in the diagnosis and management of preterm children to gain more insight into the mechanism of ROP. Thirdly, the study group had a limited number of patients with aggressive posterior retinopathy of prematurity (AP-ROP) and plus disease; therefore, a separate analysis for these subgroups was not performed. Lastly, the study included only one patient following anti-VEGF injection, because this treatment was introduced later. Future OCTA studies are needed in a larger group of ROP patients following anti-VEGF therapy to compare both methods of treatment.

6. Conclusions

OCTA seems to be a very promising tool to diagnose and monitor retinal changes in preterm children because of the quick time exposure and noninvasiveness; hence, it should be performed routinely. However, the limitation of the OCTA technique is the difficulty in obtaining good-quality images for analysis caused by fixation problems more often present in this specific population.
This study confirmed the influence of prematurity on FAZ size, vessel density, and retinal and choroidal thickness. We documented the association of selected neonatal parameters with macular morphology and vascularity. This study showed that the impairment of retinal structure and vessel density is more prominent in patients with severe ROP requiring laser therapy. Further studies are needed to explore the microvasculature in preterm children and choroidal changes to gain more insight into the pathomechanism of retinopathy with respect to structural and functional outcome.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/jcm11051337/s1. Table S1. Clinical and ophthalmic characteristics of preterm children—comparison between analyzed eyes and excluded from the analysis. Data are presented as a number (%) or median and interqartile range (IQR).

Author Contributions

A.C., conceptualization, methodology, investigation, data curation, and writing—original draft preparation; J.C.-K., supervision, writing—review and editing, methodology, and conceptualization; W.H., supervision, funding acquisition, and writing—review; D.B., investigation and data curation; M.J. formal analysis and writing—review. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Bioethics Board of The Children’s Memorial Health Institute (21/KBE/2019).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data are available on request due to restrictions.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Zhao, J.; Wu, Z.; Lam, W.; Yang, M.; Chen, L.; Zheng, L.; Zhang, F.; Zeng, J.; Wang, J.; Zhang, G. Comparison of OCT angiography in children with a history of intravitreal injection of ranibizumab versus laser photocoagulation for retinopathy of prematurity. Br. J. Ophthalmol. 2020, 104, 1556–1560. [Google Scholar] [CrossRef] [PubMed]
  2. Balasubramanian, S.; Borrelli, E.; Lonngi, M.; Velez, F.; Sarraf, D.; Sadda, S.R.; Tsui, I. Visual Function and Optical Coherence Tomography Angiography Features in Children Born Preterm. Retina 2019, 39, 2233–2239. [Google Scholar] [CrossRef] [PubMed]
  3. Falavarjani, K.G.; Iafe, N.A.; Velez, F.G.; Schwartz, S.D.; Sadda, S.R.; Sarraf, D.; Tsui, I. Optical Coherence Tomography Angiography of the Fovea in Children Born Preterm. Retina 2017, 37, 2289–2294. [Google Scholar] [CrossRef]
  4. Gole, G.A.; Ells, A.L.; Katz, X.; Holmstrom, G.; Fielder, A.R.; Capone, A.; Flynn, J.T.; Good, W.G.; Holmes, J.M.; McNamara, J.A.; et al. The International Classification of Retinopathy of Prematurity Revisited. Arch. Ophthalmol. 2005, 123, 991–999. [Google Scholar] [CrossRef]
  5. Early Treatment for Retinopathy of Prematurity Cooperative Group. Revised indications for the treatment of retinopathy of prematurity: Results of the early treatment for retinopathy of prematurity randomized trial. Arch. Ophthalmol. 2003, 121, 168494, Clinical Trial. [Google Scholar] [CrossRef] [Green Version]
  6. Takagi, M.; Maruko, I.; Yamaguchi, A.; Kakehashi, M.; Hasegawa, T.; Iida, T. Foveal abnormalities determined by optical coherence tomography angiography in children with history of retinopathy of prematurity. Eye 2019, 33, 1890–1896. [Google Scholar] [CrossRef] [PubMed]
  7. Lee, Y.-S.; Chang, S.H.L.; Wu, S.-C.; See, L.-C.; Yang, M.-L.; Wu, W.-C. The inner retinal structures of the eyes of children with a history of retinopathy of prematurity. Eye 2017, 32, 104–112. [Google Scholar] [CrossRef]
  8. Stoica, F.; Chirita-Emandi, A.; Andreescu, N.; Stanciu, A.; Zimbru, C.-G.; Puiu, M. Clinical relevance of retinal structure in children with laser-treated retinopathy of prematurity versus controls—Using optical coherence tomography. Acta Ophthalmol. 2017, 96, e222–e228. [Google Scholar] [CrossRef]
  9. Wu, W.-C.; Shih, C.-P.; Wang, N.-K.; Lien, R.; Chen, Y.-P.; Chao, A.-N.; Chen, K.-J.; Chen, T.-L.; Hwang, Y.-S.; Lai, C.-C.; et al. Choroidal Thickness in Patients with a History of Retinopathy of Prematurity. JAMA Ophthalmol. 2013, 131, 1451–1458. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Garey, L.J. Structural development of the visual system of man. Hum. Neurobiol. 1984, 3, 75–80. [Google Scholar]
  11. Yuodelis, C.; Hendrickson, A. A qualitative and quantitative analysis of the human fovea during development. Vis. Res. 1986, 26, 847–855. [Google Scholar] [CrossRef]
  12. Hendrickson, A.E.; Yuodelis, C. The Morphological Development of the Human Fovea. Ophthalmology 1984, 91, 603–612. [Google Scholar] [CrossRef]
  13. Cabrera, M.T.; Maldonado, R.; Toth, C.A.; O’Connell, R.V.; Chen, B.B.; Chiu, S.J.; Farsiu, S.; Wallace, D.K.; Stinnett, S.S.; Panayotti, G.M.M.; et al. Subfoveal Fluid in Healthy Full-term Newborns Observed by Handheld Spectral-Domain Optical Coherence Tomography. Am. J. Ophthalmol. 2012, 153, 167–175.e3. [Google Scholar] [CrossRef] [Green Version]
  14. Gołębiewska, J.; Olechowski, A.; Wysocka-Mincewicz, M.; Odrobina, D.; Baszyńska-Wilk, M.; Groszek, A.; Szalecki, M.; Hautz, W. Optical coherence tomography angiography vessel density in children with type 1 diabetes. PLoS ONE 2017, 12, e0186479. [Google Scholar] [CrossRef] [PubMed]
  15. Vinekar, A.; Sinha, S.; Mangalesh, S.; Jayadev, C.; Shetty, B. Optical coherence tomography angiography in preterm-born children with retinopathy of prematurity. Graefe’s Arch. Clin. Exp. Ophthalmol. 2021, 259, 2131–2137. [Google Scholar] [CrossRef]
  16. Nonobe, N.; Kaneko, H.; Ito, Y.; Takayama, K.; Kataoka, K.; Tsunekawa, T.; Matsuura, T.; Suzumura, A.; Shimizu, H.; Terasaki, H. Optical Coherence Tomography Angiography of the Foveal Avascular Zone in Children with a History of Treatment-Requiring Retinopathy of Prematurity. Retina 2019, 39, 111–117. [Google Scholar] [CrossRef]
  17. Rogowska, A.; Obrycki, Ł.; Kułaga, Z.; Kowalewska, C.; Litwin, M. Remodeling of Retinal Microcirculation is Associated with Subclinical Arterial Injury in Hypertensive Children. Hypertension 2021, 77, 1203–1211. [Google Scholar] [CrossRef]
  18. Akbari, M.; Abdi, P.; Fard, M.A.; Afzali, M.; Ameri, A.; Yazdani-Abyaneh, A.; Mohammadi, M.; Moghimi, S. Retinal Ganglion Cell Loss Precedes Retinal Nerve Fiber Thinning in Nonarteritic Anterior Ischemic Optic Neuropathy. J. Neuro-Ophthalmol. 2016, 36, 141–146. [Google Scholar] [CrossRef]
  19. Zivkovic, M.; Dayanir, V.; Zlatanovic, M.; Zlatanovic, G.; Jaksic, V.; Jovanovic, P.; Radenkovic, M.; Djordjevic-Jocic, J.; Stankovic-Babic, G.; Jovanovic, S. Ganglion Cell-Inner Plexiform Layer Thickness in Different Glaucoma Stages Measured by Optical Coherence Tomography. Ophthalmic Res. 2018, 59, 148–154. [Google Scholar] [CrossRef]
  20. Kaur, C.; Foulds, W.S.; Ling, E.-A. Hypoxia-ischemia and retinal ganglion cell damage. Clin. Ophthalmol. 2008, 2, 879–889. [Google Scholar] [CrossRef] [Green Version]
  21. Hellström, A.; Smith, L.E.; Dammann, O. Retinopathy of prematurity. Lancet 2013, 382, 1445–1457. [Google Scholar] [CrossRef] [Green Version]
  22. Pueyo, V.; González, I.; Altemir, I.; Pérez, T.; Gómez, G.; Prieto, E.; Oros, D. Microstructural Changes in the Retina Related to Prematurity. Am. J. Ophthalmol. 2015, 159, 797–802. [Google Scholar] [CrossRef]
  23. Miki, A.; Yamada, Y.; Nakamura, M. The Size of the Foveal Avascular Zone Is Associated with Foveal Thickness and Structure in Premature Children. J. Ophthalmol. 2019, 2019, 8340729. [Google Scholar] [CrossRef] [PubMed]
  24. Anderson, M.F.; Ramasamy, B.; Lythgoe, D.T.; Clark, D. Choroidal thickness in regressed retinopathy of prematurity. Eye 2014, 28, 1461–1468. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Park, K.A.; Oh, S.Y. Analysis of spectral-domain optical coherence tomography in preterm children: Retinal layer thickness and choroidal thickness profiles. Investig. Ophthalmol. Vis. Sci. 2012, 53, 7201–7207. [Google Scholar] [CrossRef] [Green Version]
  26. Wangsa-Wirawan, N.D.; Linsenmeier, R.A. Retinal oxygen: Fundamental and clinical aspects. Arch. Ophthalmol. 2003, 121, 547–557. [Google Scholar] [CrossRef]
  27. Wang, J.; Spencer, R.; Leffler, J.N.; Birch, E.E. Critical Period for Foveal Fine Structure in Children with Regressed Retinopathy of Prematurity. Retina 2012, 32, 330–339. [Google Scholar] [CrossRef]
  28. Provis, J.M. Development of the Primate Retinal Vasculature. Prog. Retin. Eye Res. 2001, 20, 799–821. [Google Scholar] [CrossRef]
  29. Chen, Y.-C.; Chen, Y.-T.; Chen, S.-N. Foveal microvascular anomalies on optical coherence tomography angiography and the correlation with foveal thickness and visual acuity in retinopathy of prematurity. Graefe’s Arch. Clin. Exp. Ophthalmol. 2019, 257, 23–30. [Google Scholar] [CrossRef]
  30. Miki, A.; Honda, S.; Inoue, Y.; Yamada, Y.; Nakamura, M. Foveal Depression and Related Factors in Patients with a History of Retinopathy of Prematurity. Ophthalmologica 2018, 240, 106–110. [Google Scholar] [CrossRef]
  31. Rezar-Dreindl, S.; Eibenberger, K.; Told, R.; Neumayer, T.; Steiner, I.; Sacu, S.; Schmidt-Erfurth, U.; Stifter, E. Retinal vessel architecture in retinopathy of prematurity and healthy controls using swept-source optical coherence tomography angiography. Acta Ophthalmol. 2021, 99, e232–e239. [Google Scholar] [CrossRef] [PubMed]
  32. American Academy of Pediatrics Committee on Fetus and Newborn. American College of obstetricians and gynecologists committee on obstetric practice. The Apgar Score. Pediatrics 2015, 136, 819–822. [Google Scholar] [CrossRef] [Green Version]
  33. Sacchi, C.; Marino, C.; Nosarti, C.; Vieno, A.; Visentin, S.; Simonelli, A. Association of Intrauterine Growth Restriction and Small for Gestational Age Status with Childhood Cognitive Outcomes: A systematic review and meta-analysis. JAMA Pediatr. 2020, 174, 772–781. [Google Scholar] [CrossRef]
  34. Tan, O.; Chopra, V.; Lu, A.T.-H.; Schuman, J.; Ishikawa, H.; Wollstein, G.; Varma, R.; Huang, D. Detection of Macular Ganglion Cell Loss in Glaucoma by Fourier-Domain Optical Coherence Tomography. Ophthalmology 2009, 116, 2305–2314.e2. [Google Scholar] [CrossRef] [Green Version]
  35. Thomas, M.; Kumar, A.; Mohammad, S.; Proudlock, F.A.; Engle, E.C.; Andrews, C.; Chan, W.-M.; Thomas, S.; Gottlob, I. Structural Grading of Foveal Hypoplasia Using Spectral-Domain Optical Coherence Tomography: A Predictor of Visual Acuity? Ophthalmology 2011, 118, 1653–1660. [Google Scholar] [CrossRef] [Green Version]
  36. Spaide, R.F.; Fujimoto, J.G.; Waheed, N.K. Image artifacts in optical coherence tomography angiography. Retina 2015, 35, 2163–2180. [Google Scholar] [CrossRef]
  37. Rosén, R.M.; Hellgren, K.M.; Venkataraman, A.P.; Vicent, A.D.; Nilsson, M. Increased foveal ganglion cell and inner plexiform layer thickness in children aged 6.5 years born extremely preterm. Retina 2020, 40, 1344–1352. [Google Scholar] [CrossRef] [PubMed]
  38. Yanni, S.E.; Wang, J.; Chan, M.; Carroll, J.; Farsiu, S.; Leffler, J.N.; Spencer, R.; Birch, E.E. Foveal avascular zone and foveal pit formation after preterm birth. Br. J. Ophthalmol. 2012, 96, 961–966. [Google Scholar] [CrossRef] [PubMed]
  39. Darlow, B.A.; Hutchinson, J.L.; Henderson-Smart, D.J.; Donoghue, D.A.; Simpson, J.M.; Evans, N.J. Prenatal Risk Factors for Severe Retinopathy of Prematurity among Very Preterm Infants of the Australian and New Zealand Neonatal Network. Pediatrics 2005, 115, 990–996. [Google Scholar] [CrossRef]
  40. Shah, V.A.; Yeo, C.L.; Ling, Y.L.F.; Ho, L.Y. Incidence, risk factors of retinopathy of prematurity among very low birth weight infants in Singapore. Ann. Acad. Med. Singap. 2005, 34, 169–178. [Google Scholar]
  41. Allegaert, K.; De Coen, K.; Devlieger, H. Threshold retinopathy at threshold of viability: The EpiBel study. Br. J. Ophthalmol. 2004, 88, 239–242. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Ahn, Y.J.; Hong, K.E.; Yum, H.R.; Lee, J.H.; Kim, K.S.; Youn, Y.A.; Park, S.H. Characteristic clinical features associated with aggressive posterior retinopathy of prematurity. Eye 2017, 31, 924–930. [Google Scholar] [CrossRef] [PubMed]
  43. Gu, M.-H.; Jin, J.; Yuan, T.-M.; Yu, H.-M. Risk Factors and Outcomes for Retinopathy of Prematurity in Neonatal Infants with a Birth Weight of 1501–2000 g in a Chinese Neonatal Unit. Med Princ. Pract. 2011, 20, 244–247. [Google Scholar] [CrossRef] [PubMed]
  44. Magrath, G.N.; Say, E.A.T.; Sioufi, K.; Ferenczy, S.; Samara, W.A.; Shields, C.L. Variability in foveal avascular zone and capillary density using optical coherence tomography angiography machines in healthy eyes. Retina 2017, 37, 2102–2111. [Google Scholar] [CrossRef]
  45. Hughes, S.; Yang, H.; Chan-Ling, T. Vascularization of the human fetal retina: Roles (39) of vasculogenesis and angiogenesis. Investig. Ophthalmol. Vis. Sci. 2000, 41, 1217–1228. [Google Scholar]
  46. 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. [Google Scholar] [CrossRef]
  47. Mintz-Hittner, H.A.; Knight-Nanan, D.M.; Satriano, D.R.; Kretzer, F.L. A small foveal avascular zone may be an historic mark of prematurity. Ophthalmology 1999, 106, 1409–1413. [Google Scholar] [CrossRef]
  48. Hartnett, M.E. Retinopathy of Prematurity: Evolving Treatment with Anti–Vascular Endothelial Growth Factor. Am. J. Ophthalmol. 2020, 218, 208–213. [Google Scholar] [CrossRef]
  49. Celiker, H.; Sahin, O. Angiographic findings in cases with a history of severe retinopathy of prematurity treated with anti-VEGFs: Follow-up to age 6 years. Int. Ophthalmol. 2021, 1–21. [Google Scholar] [CrossRef]
  50. Houston, S.K.; Wykoff, C.C.; Berrocal, A.M.; Hess, D.J.; Murray, T.G. Laser treatment for retinopathy of prematurity. Lasers Med Sci. 2013, 28, 683–692. [Google Scholar] [CrossRef]
Figure 1. Measurement of retinal ganglion cell complex thickness in preterm 12 year old boy (30 weeks gestational age, birth weight 1200 g, no history of ROP) with decreased parameters (A) and in healthy full-term born child with normal parameters (B).
Figure 1. Measurement of retinal ganglion cell complex thickness in preterm 12 year old boy (30 weeks gestational age, birth weight 1200 g, no history of ROP) with decreased parameters (A) and in healthy full-term born child with normal parameters (B).
Jcm 11 01337 g001aJcm 11 01337 g001b
Figure 2. Image presenting superficial vessel density measurements.
Figure 2. Image presenting superficial vessel density measurements.
Jcm 11 01337 g002
Figure 3. Foveal avascular zone (FAZ) measurement in superficial capillary plexus.
Figure 3. Foveal avascular zone (FAZ) measurement in superficial capillary plexus.
Jcm 11 01337 g003
Table 1. Demographic and clinical characteristics of preterm children. Data are presented as a numbers and percentages (%) or medians and interquartile ranges (IQR).
Table 1. Demographic and clinical characteristics of preterm children. Data are presented as a numbers and percentages (%) or medians and interquartile ranges (IQR).
ParametersNumber (%) or Median (IQR)
Preterm children123
Males66 (53.66%)
Age (years)10.58 (8.12–12.77)
Birth weight (g)1350 (930–1678)
Birth weight < 1500 g75 (62.5%)
IUGR14 (11.38%)
Gestational Age (weeks)29 (27–32)
Gestational Age < 28 weeks35 (28.46%)
Apgar score
0–323 (18.7%)
4–767 (54.47%)
8–1022 (17.89%)
Lack of data11 (8.94%)
Ophthalmic characteristics
ParameterNumber of eyes (%)
No ROP85 (34.55%)
ROP129 (52.44%)
ROP 1 stage9 (6.98%)
ROP 2 stage57 (44.19%)
ROP 3 stage63 (48.83%)
Lack of ROP data32 (13.01%)
Plus disease47 (36.43%)
ROP with treatment70 (54.26%)
Visual Acuity (logMAR)0 (0.22–0)
Refractive error (Dioptres)1.0 (−0.75–2.27)
Macular hypoplasia56 (24.77%)
Lack of data20
Table 2. Comparison of ganglion cell complex thickness, choroidal thickness, and vessel density parameters between preterm children and healthy control subjects. Data are presented as medians and interquartile ranges (Q1–Q3).
Table 2. Comparison of ganglion cell complex thickness, choroidal thickness, and vessel density parameters between preterm children and healthy control subjects. Data are presented as medians and interquartile ranges (Q1–Q3).
VariablePreterm ChildrenNHealthy ControlNp-Value
Average GCC (μm)93 (86–100)203100 (96–103)165<0.001
GCC superior quandrant92 (85–98)20399 (94–104)165<0.001
GCC inferior quadrant93 (87–101)203100 (96–104)165<0.001
CCT (μm)312 (250–360)179337.5 (280–381)1300.005
FAZ (μm2)0.13 (0.07–0.19)1060.23 (0.17–0.3)133<0.001
wsVD45.2 (41.7–48)10648.7(47–50.3)133<0.001
wsVD superior quadrant45.1 (41.8–47.6)10648.7(47–50.2)133<0.001
wsVD inferior quadrant45.5 (42.1–48.2)10649.2 (46.9–50.5)133<0.001
fsVD24.95(19.4–31.7)10623.9 (19.7–28.7)1330.398
psVD47.75 (43.8–50.1)10651.4 (49.7–53)133<0.001
psVD superior quadrant47.7 (43.7–50.4)10651.4 (49.6–53.3)133<0.001
psVD inferior quadrant48.05 (49.3–50.3)10651.7 (49.5–53.3)133<0.001
wdVD49.8 (47–52.3)10649.8 (46.5–52.7)1330.707
wdVD superior quadrant50.1 (47.7–52.2)10649.8 (46.5–52.7)1330.644
wdVD inferior quadrant49.35 (46.6–52.2)10649.5 (46.4 −52)1330.793
fdVD41.9 (36.6–46.4)10636.9 (51.5–41.5)133<0.001
pfdVD50.8 (48.4–53.7)10651.4 (48.9–54.0)1330.522
pdVD superior quandrant51.6 (48.4–54)10651.15 (47.75–53.85)1330.706
pdVD Inferior quadrant50.5 (47.9–53.8)10651.4 (48.5–54.1)1330.454
WT (μm)310.5 (303–326)106321 (312–329,5)133<0.001
WT superior quadrant (μm)313.5 (303–329)106323.5 (313–331)133<0.001
WT inferior quadrant (μm)310 (303–325)106319.5 (311–329)133<0.001
FT (μm)274.5 (257–298)106252 (242–268)133<0.001
PFT (μm)318.5 (312–336)106331 (322–339)133<0.001
PFT superior quadrant (μm)320.5 (311–336)106331 (322–339)133<0.001
PFT inferior quadrant (μm)319 (312–335)106329.5 (321–338)133<0.001
N, number of eyes; GCC, ganglion cell complex; CCT, central choroidal thickness; FAZ, foveal avascular zone; wsVD, whole vessel density in superficial plexus; fsVD, foveal vessel density in superficial plexus; psVD, parafoveal vessel density in superficial plexus; WT, whole thickness; FT, foveal thickness; PFT, parafoveal thickness; wdVD, whole vessel density in deep capillary plexus; fdVD, foveal vessel density in deep capillary plexus; pdVD, parafoveal vessel density in deep capillary plexus.
Table 3. The results of OCT according to neonatal characteristic (gestational age, birth weight, Apgar score, IUGR) in preterm children.
Table 3. The results of OCT according to neonatal characteristic (gestational age, birth weight, Apgar score, IUGR) in preterm children.
Gestational Age (Weeks)Birth Weight (Grams)Apgar Score (Points)IUGR
WeeksMedian (IQR)p-ValueWeightMedian (IQR)p-ValueApgar ScoreMedian (IQR)p-ValueIUGRMedian (IQR)
Avg GCC (μm)<28
N = 47
96 (87–103)0.059<1500
N = 114
93 (87–100)0.522<4
N = 32
89.5 (82–93)0.003Yes
N = 25
89 (80–93)0.044
≥28
N = 156
92 (86–98)≥1500
N = 83
93 (86–98)≥4
N = 150
95 (88–100)No
N = 174
94 (87–100)
FAZ (μm2)<28
N = 18
0.08 (0.04–0.15)0.026<1500
N = 55
0.08 (0.05–0.14)<0.001<4
N = 15
0.13 (0.05–0.19)0.975Yes
N = 19
0.106 (0.074–0.208)0.796
≥28
N = 88
0.14 (0.07–0.2)≥1500
N = 45
0.1 (0.14–0.25)≥4
N = 80
0.1 (0.07–0.18)No
N = 83
0.141 (0.067–0.197)
wsVD (%)<2844.65 (38.3–48.5)0.604<150044.6 (40.3–47.6)0.116<442.3 (38.8–46.1)0.046Yes
N = 19
44 (40.4–45.3)0.057
≥2845.25 (42.6–47.9)≥150046.2 (43.2–48)≥449.3 (46.5–51.95)No
N = 83
45.6 (42.3–48.1)
fsVD (%)<2830 (23.5–32.8)0.059<150026 (21.5–32.8)<0.001<423.1 (16.4–32.2)0.571Yes
N = 19
22.2 (16–27)0.184
≥2824.15 (18.35–30.3)≥150021.5 (16.3–27.4)≥442.25 (36.8–47.05)No
N = 83
25 (19,4–31,6)
psVD (%)<2845.55 (38.6–50.1)0.222<150046.5 (42–49.1)0.011<445.2 (40–48.7)0,060Yes
N = 19
47 (43.4–48.7)0.220
≥2847.95 (44.5–50.2)>150049 (46.2–50.3)≥447.45 (44.35–50.35)No
N = 83
48.5 (44.3–50.3)
WT (μm)<28326.5 (318–347)<0.001<1500317 (302–322)0.231<4312 (295–344)0.543Yes
N = 19
304 (296–318)0.052
≥28308.5 (302–324)≥1500317 (302–332)≥431 (306–328)No
N = 83
316 (304–329)
FT (μm)<28314 (273–329)<0.001<1500293 (266–315)<0.001<4281 (262–308)0.431Yes
N = 19
273 (256–287)0.397
≥28271 (256–288)≥1500257 (252–278)≥4274.5 (257–298)No
N = 83
277 (256–300)
PFT (μm)<28334.5 (323–355)0.002<1500323 (310–339)0.24<4318 (302–350)0.446Yes
N = 19
314 (304–330)0.117
≥28317.5 (310–332)≥1500323 (310–339)≥4322.5 (316–336.5)No
N = 83
323 (313–338)
wdVD (%)<2848.7 (45.6–50.9)0.292<150049.3 (46.4–52.2)0.526<450.4 (47.5–54.3)0.226Yes
N = 19
50 (48.8–54.2)0.470
≥2850 (47.45–52.5)≥150050.1 (47.5–52,5)≥449.3 (46.5–51.95)No
N = 83
49.4 (46.7–52.3)
fdVD (%)<2843.4 (40.3–49)0.064<150043.4 (40.3–48.9)<0.001<440,4 (35–48.4)0.578Yes
N = 19
41.6 (32.9–44.7)0.367
≥2841.65 (35.55–45.65)≥150038.7 (32.9–43.8)≥442.25 (36.8–47.05)No
N = 83
42.2 (36.6–47)
pdVD (%)<2849.65 (47–52.6)0.209<150050.1 (47.2–53.6)0.124<452.6 (49.7–55.5)0.101Yes
N = 19
51.6 (50–55.5)0.359
≥2841.6 (48.5–54.15)≥150051.7 (49.3–54.4)≥450.3 (48.25–53.3)No
N = 83
50.4 (48.4–53.6)
N, number of eyes; IUGR, Intrauterine Growth Restriction; avgGCC, average ganglion cell complex; FAZ, foveal avascular zone; wsVD, whole vessel density in superficial plexus; fsVD, foveal vessel density in superficial plexus; psVD, parafoveal vessel density in superficial plexus; WT, whole thickness; FT, foveal thickness; PFT, parafoveal thickness; wdVD, whole vessel density in deep capillary plexus; fdVD, foveal vessel density in deep capillary plexus; pdVD, parafoveal vessel density in deep capillary plexus; IQR, interquartile range (Q1–Q3).
Table 4. The Spearman correlations between OCT/OCTA parameters and gestational age and birth weight.
Table 4. The Spearman correlations between OCT/OCTA parameters and gestational age and birth weight.
Gestational AgeBirth Weight
ParameterNR Spearmanp-ValueNR Spearmanp-Value
AvgGCC203−0.0850.228199−0.0540.446
wsVD1060.0510.6041020.1950.049
fsVD106−0.376<0.001102−0.306<0.001
psVD1060.1840.0591020.2980.002
wdVD106−0.4510.6451020.0130.898
fdVD106−0.444<0.001102−0.339<0.001
pdVD1060.0440.0651020.0890.372
FAZ1060.456<0.0011020.472<0.001
WF106−0.389<0.001102−0.1860.06
FT106−0.562<0.001102−0.508<0.001
PFT1060.465<0.001102−0.1850.063
N, number of eyes; avgGCC, average ganglion cell complex; FAZ, foveal avascular zone; wsVD, whole vessel density in superficial plexus; fsVD, foveal vessel density in superficial plexus; psVD, parafoveal vessel density in superficial plexus; WT, whole thickness; FT, foveal thickness; PFT, parafoveal thickness; wdPD, whole vessel density in deep capillary plexus; fdVD, foveal vessel density in deep capillary plexus; pdVD, parafoveal vessel density in deep capillary plexus.
Table 5. Comparisons of OCT/OCTA results in examined eyes according to diagnosis of ROP and ROP severity in the study population of preterm children. Data are presented as medians (IQRs).
Table 5. Comparisons of OCT/OCTA results in examined eyes according to diagnosis of ROP and ROP severity in the study population of preterm children. Data are presented as medians (IQRs).
Group 0
without ROP
Group 1
ROP without Treatment
Group 2
–Severe ROP Requiring Treatment
p-Value
for Overall Kruskal–Wallis Test
p-Value
Group 0 vs. Group 1
p-Value
Group 0 vs. Group 2
p-Value
Group 1 vs. Group 2
GCCN = 85N = 57N = 41
Avg GCC93 (87–98)91 (84–95)100 (92–105)<0.0010.2720.006<0.001
OCT AngiographyN = 50N = 21N = 18
FAZ (μm2)0.16 (0.11–0.2)0.09 (0.06–0.13)0,09 (0.04–0.13)0.0030.0460.0091.0
wsVD46 (43.2–48.1)44.7 (50.5–48.2)41.7 (38.3–45.4)0.0271.00.0220.361
fsVD22.1 (16.3–26.7)26.2 (21–31.7)31.55 21.5–33.7)0.0090.1130.0171.0
psVD49.05 (46.4–50.9)47.4 (41.5–50.3)44.25 (38.6–47.5)0.0020.2880.0020.338
WT310.5 (304–325)307 (302–324)325 (300–347)0.1871.00.3390.261
FT261.5 (255–279)273 (257–298)307 (290–321)<0.0010.442<0.0010.017
PFT (μm)51.4 (48.6–54.8)316 310–332)332.5 (307–355)0.2501.00.6880.296
wdPD50.5 (47.4–52.3)49.2 (46.6–52.2)48.55 (45.9–52.2)0.8231.01.01.0
fdVD40.2 (39.2–42.9)44.3 (42–47.9)42.3 (37–48.9)0.0040.0090.0731.0
pdVD51.4 (48.6–54.8)50.1 (47.8–53)49.65 (47–55.4)0.4761.00.8691.0
N, number of eyes; ROP, retinopathy of prematurity; avgGCC, average ganglion cell complex; FAZ, foveal avascular zone; wsVD, whole vessel density in superficial plexus; fsVD, foveal vessel density in superficial plexus; psVD, parafoveal vessel density in superficial plexus; WT, whole thickness; FT, foveal thickness; PFT, parafoveal thickness; wdVD, whole vessel density in deep capillary plexus; fdVD, foveal vessel density in deep capillary plexus; pdVD, parafoveal vessel density in deep capillary plexus; p-value < 0.05 considered statistically significant.
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Czeszyk, A.; Hautz, W.; Jaworski, M.; Bulsiewicz, D.; Czech-Kowalska, J. Morphology and Vessel Density of the Macula in Preterm Children Using Optical Coherence Tomography Angiography. J. Clin. Med. 2022, 11, 1337. https://doi.org/10.3390/jcm11051337

AMA Style

Czeszyk A, Hautz W, Jaworski M, Bulsiewicz D, Czech-Kowalska J. Morphology and Vessel Density of the Macula in Preterm Children Using Optical Coherence Tomography Angiography. Journal of Clinical Medicine. 2022; 11(5):1337. https://doi.org/10.3390/jcm11051337

Chicago/Turabian Style

Czeszyk, Agnieszka, Wojciech Hautz, Maciej Jaworski, Dorota Bulsiewicz, and Justyna Czech-Kowalska. 2022. "Morphology and Vessel Density of the Macula in Preterm Children Using Optical Coherence Tomography Angiography" Journal of Clinical Medicine 11, no. 5: 1337. https://doi.org/10.3390/jcm11051337

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