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. 2023 Aug 13;4(2):100382. doi: 10.1016/j.xops.2023.100382

Early Sign of Retinal Neovascularization Evolution in Diabetic Retinopathy

A Longitudinal OCT Angiography Study

Kotaro Tsuboi 1,2, Mehdi Mazloumi 1, Yukun Guo 1, Jie Wang 1,3, Christina J Flaxel 1, Steven T Bailey 1, David J Wilson 1, David Huang 1, Yali Jia 1,3, Thomas S Hwang 1,
PMCID: PMC10587637  PMID: 37868804

Abstract

Purpose

To assess whether the combination of en face OCT and OCT angiography (OCTA) can capture observable, but subtle, structural changes that precede clinically evident retinal neovascularization (RNV) in eyes with diabetic retinopathy (DR).

Design

Retrospective, longitudinal study.

Participants

Patients with DR that had at least 2 visits.

Methods

We obtained wide-field OCTA scans of 1 eye from each participant and generated en face OCT, en face OCTA, and cross-sectional OCTA. We identified eyes with RNV sprouts, defined as epiretinal hyperreflective materials on en face OCT with flow signals breaching the internal limiting membrane on the cross-sectional OCTA without recognizable RNV on en face OCTA and RNV fronds, defined as recognizable abnormal vascular structures on the en face OCTA. We examined the corresponding location from follow-up or previous visits for the presence or progression of the RNV.

Main Outcome Measures

The characteristics and longitudinal observation of early signs of RNV.

Results

From 71 eyes, we identified RNV in 20 eyes with the combination of OCT and OCTA, of which 13 (65%) were photographically graded as proliferative DR, 6 (30%) severe nonproliferative DR, and 1 (5%) moderate nonproliferative diabetic retinopathy. From these eyes, we identified 38 RNV sprouts and 26 RNV fronds at the baseline. Thirty-four RNVs (53%) originated from veins, 24 (38%) were from intraretinal microabnormalities, and 6 (9%) were from a nondilated capillary bed. At the final visit, 53 RNV sprouts and 30 RNV fronds were detected. Ten eyes (50%) showed progression, defined as having a new RNV lesion or the development of an RNV frond from an RNV sprout. Four (11%) RNV sprouts developed into RNV fronds with a mean interval of 7.0 months. Nineteen new RNV sprouts developed during the follow-up, whereas no new RNV frond was observed outside an identified RNV sprout. The eyes with progression were of younger age (P = 0.014) and tended to be treatment naive (P = 0.07) compared with eyes without progression.

Conclusions

Longitudinal observation demonstrated that a combination of en face OCT and cross-sectional OCTA can identify an earlier form of RNV before it can be recognized on en face OCTA.

Financial Disclosure(s)

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Keywords: Proliferative diabetic retinopathy, En face OCT, OCT angiography, Retinal neovascularization, Retinal neovascularization sprout


Diabetic retinopathy (DR) is the leading cause of preventable blindness in the working-age population worldwide.1, 2, 3 Retinal neovascularization (RNV) is the key clinical feature of proliferative diabetic retinopathy (PDR) that predisposes the patient to severe vision loss due to vitreous hemorrhage or tractional retinal detachment. An early detection of RNV and prompt treatment can prevent disease progression and subsequent vision loss.4 In the ETDRS, the Diabetic Retinopathy Study Scale provides the probability of progression of PDR.5 Intraretinal microvascular abnormality (IRMA) is one of the hallmarks of end-stage nonproliferative diabetic retinopathy (NPDR), and the severity of IRMA has been shown to be a risk factor for the progression into PDR.6

Prior studies demonstrated structural and angiographic changes at the location of IRMA.7, 8, 9, 10 Lee et al demonstrated the OCT features differentiating RNV from IRMA.7 Longitudinal observation with structural cross-sectional OCT showed that IRMA outpouching of the internal limiting membrane (ILM) gradually increased in size and eventually breached the ILM, confirming RNV. Russel et al also reported the longitudinal progression of RNV from IRMA using OCT angiography (OCTA).8 Serial OCTA images illustrated the intraretinal flow signals at the location of IRMA extended to the RNV, suggesting that IRMA could be a precursor lesion of RNV and that the combination of structural OCT and OCTA can be useful for detecting the early development of RNV. However, RNV originates not only from IRMA but also from retinal capillary beds,11, 12, 13 postcapillary venules,12,13 and retinal veins.12, 13, 14

Recently, we have identified presumed glial sprouts as an early biomarker for detecting RNV with serial OCTA in an eye with branch retinal vein occlusion.15 We observed that the presumed glial sprout, seen as hyperreflective tissues on en face OCT, emerged on the retinal vessel 6 months before RNV development. The longitudinal observations illustrated that the presumed glial proliferation increased in size, and the flow signal extended toward the vitreous cavity, eventually developing into RNV at the location of preexisting glial proliferation. Because en face OCT can overview abnormal structures on the entire plane of the retinal surface, the combination of en face OCT and OCTA may be useful for detecting the early sign of RNV formation.

The purpose of this study was to assess whether the combination of en face OCT and OCTA can capture observable but subtle, structural changes that precede clinically evident RNV in eyes with DR. We conducted a longitudinal observation study including eyes from a prospective DR cohort with at least 2 visits. We analyzed all lesions with abnormal structures on en face OCT with flow signal breaching the ILM on cross-sectional OCTA to characterize the early signs of RNV.

Methods

This retrospective cohort study comprises 2 prospective OCT/OCT angiography (OCTA) studies of DR (NIH R01 EY027833) performed at the Casey Eye Institute, Oregon Health Science University. The details of the studies have been previously published.16, 17, 18, 19, 20 The study adhered to the tenets of the Declaration of Helsinki and complied with the Health Insurance Portability and Accountability Act of 1996. The institutional review board of Oregon Health Science University approved the study. All participants provided a written informed consent to participate in the OCT/OCTA studies.

The study included eyes with DR that underwent wide-field OCTA imaging protocol at least twice, with a minimum interval of 5 months, from December 19, 2017, to February 25, 2022. Data analysis was performed in April 2022. The study excluded pregnant or lactating women, those unable to consent or cooperate with OCT or OCTA scans, or those with the presence of significant nondiabetic ocular diseases such as age-related macular degeneration. Only 1 eye of each participant was included in the study.

All participants underwent ETDRS protocol for visual acuity, intraocular pressure measurement, slit-lamp biomicroscopy, and indirect binocular ophthalmoscopy. Standard 7-field ETDRS color fundus photography was performed at the baseline visit, and a retinal specialist (T.S.H.) assessed the severity of DR based on standard 7-field ETDRS color fundus photographs using the ETDRS severity scale. OCT angiography findings were not considered in the grading.

The current study used 2 commercially available OCTA devices to generate a montage wide-field OCTA scan. A 70-kHz spectral-domain OCT (Avanti; OptoVue) was used between December 19, 2017, and December 13, 2019, and a 120-kHz spectral-domain OCT (Solix; OptoVue) was used from January 15, 2020, to February 25, 2022. The scan protocol for Avanti was 3 6- × 6-mm high-definition OCTA scans (400 × 400 sampling positions) centered on the fovea, the disc, and the point 5 mm temporal to the fovea, generating a 15- × 6-mm montage OCTA. The scan protocol for Solix was 4 9- × 9-mm (600 × 600 sampling positions) OCTA scan patterns centered on points superotemporal to the fovea, superonasal to the fovea, inferotemporal to the fovea, and inferonasal to the fovea, generating an approximately 17- × 17-mm montage OCTA. Despite the different fields of view between the OCTA devices, both montage images have the same sampling density (15 μm/A-line).

A custom segmentation that optimized identification of RNV was used, with distinct custom segmentations for en face OCT and en face OCTA. The vitreoretinal interface slab has been described in the literature to optimize the visualization of RNV in OCTA.12,21, 22, 23 In this study, for en face OCT, the vitreoretinal interface slab was bounded by the internal limiting membrane (ILM) and the position 30 μm anterior to the ILM. For en face OCTA, the slab was bounded by the ILM and the position 300 μm anterior to the ILM (Fig S1, available at www.ophthalmologyscience.org).

We defined RNV based on the flow signal above the ILM seen on cross-sectional OCTA corresponding to epiretinal hyperreflective material (EHM) on en face OCT or abnormal flow signal on en face OCTA (Fig 2). Further, based on the morphology, we divided the RNV lesions into RNV sprouts and RNV fronds (Table 1, Fig 3). Retinal neovascularization sprouts were defined as EHM on en face OCT with flow signals breaching the ILM on the cross-sectional OCTA without recognizable RNV on en face OCTA; and RNV fronds were defined as recognizable abnormal vascular structures on the en face OCTA. We did not differentiate IRMA with outpouching of the ILM from the IRMA with breaching of the ILM as proposed by Lee et al7. Intraretinal microvascular abnormality was defined as having dilated capillaries detected by en face OCTA with entire retinal slab but lack of structural change on the retinal surface by structural en face OCT and the corresponding cross-sectional OCT (Table 1). If abnormal structural changes (EHM on en face OCT) with flow signal were detected, we classified them into RNV spouts. If a follow-up scan disclosed any abnormalities, we examined all previous scans at the exact location registered based on superficial en face OCTA to determine whether the RNV was new or preceded by an abnormality. We evaluated the progression of RNV qualitatively. When a new RNV lesion or the development of an RNV frond from an RNV sprout was identified from the longitudinal observation, we defined this as progression.

Figure 2.

Figure 2

Four different image modalities from a single 9- × 9-mm OCT angiography (OCTA) scan were utilized for detecting retinal neovascularization (RNV). A,En face OCTA with entire retinal slab illustrated 2 RNV lesions (white arrows). B,En face OCTA with the vitreoretinal interface (VRI) slab bounded by the internal limiting membrane (ILM) and positioned 300 μm anterior, illustrated 3 RNV lesions (white arrows), and (C) en face OCT with a slab bounded by the ILM and positioned 30 μm anterior to the ILM toward the vitreous cavity, shows 4 areas of epiretinal hyperreflective material (EHM) (white arrows and red arrow). Abnormal flow breaching the ILM is confirmed at the location of RNV (D, E) on the corresponding cross-sectional OCTA. C, An EHM labeled F on en face OCT does not have any flow signal on the corresponding cross-sectional image (F), indicating that this is not an RNV lesion. Three RNV lesions are identified in this scanned area.

Table 1.

Morphological Characteristics of Retinal Neovascularization

Findings
En Face OCT with VRI Slab En Face OCTA with VRI Slab Cross-sectional OCT Cross-sectional OCTA
IRMA No abnormality No abnormality No abnormality Flow signals below the ILM
RNV sprout Epiretinal hyperreflective material Indistinct flow signal Medium- to hyper- reflective pyramid-shaped abnormal tissue emerging on the retinal surface Flow signals above the ILM connected to the retinal vasculature
RNV frond Hyperreflective vascular structures Vascular pattern flow signal Increased epiretinal tissues Vascular patten flow signal above ILM level

ILM = internal limiting membrane; IRMA = intraretinal microvascular abnormalities; OCTA = OCT angiography; RNV = retinal neovascularization; VRI = vitreoretinal interface.

Note: en face OCTA with entire retinal slab illustrates dilated capillaries.

Figure 3.

Figure 3

Classification of retinal neovascularization (RNV). A–O, The first and second rows show RNV sprouts. En face OCT (A, F) shows RNV sprouts as foci of epiretinal hyperreflective material (EHM) with flow signal above the internal limiting membrane (ILM) (orange vs. magenta for flow below the ILM) on cross-sectional OCT angiography (OCTA) (D, I). The cross-sectional OCT illustrates the pyramid-shaped proliferation emerging on the retinal vessels (E, J). However, the abnormal flow signal either cannot be detected (B, C) or is not distinct as a vascular structure (G, H) on en face OCTA. K–O, The bottom row shows an RNV frond, which is recognizable as a vascular network on en face OCT (K) and OCTA (L, M) with a clear flow signal above the ILM on the cross-sectional OCTA (N, O).

Two trained graders (K.T. and M.M.) evaluated all RNV-suspected lesions using a combination of en face OCT, en face OCTA, and cross-sectional OCTA generated by commercially available software (ReVue, OptoVue, version 2018.1.1.63; and Solix ReVue, OptoVue, version 2019 V1.0.1.1). A senior grader (T.S.H.) resolved any discrepancies between graders. We assessed intergrade agreement on 40 montage scans from 20 participants using the intraclass correlation coefficient (ICC).

Descriptive statistics included the mean, standard deviation (SD), 95% confidence interval (CI), and percentages where appropriate. Normality was assessed by a normal probability plot and the Shapiro–Wilk test. All analyses were conducted using JMP version 13.1.0 (SAS Institute, Inc.) and GraphPad Prism (GraphPad Software). All P values were from 2-sided tests, and results were deemed statistically significant at P < 0.05.

Results

We initially reviewed a total of 71 eyes (PDR, 13 eyes; severe NPDR, 22 eyes; moderate NPDR, 19 eyes; mild NPDR, 17 eyes) with 226 wide-field OCTA scans. The mean (SD) follow-up duration was 13.1 (8.2) months (95% CI, 7.3–18.9 months), and the mean (SD) number of visits was 3.3 (1.2) visits (95% CI, 2.5–4.1 visits). Of these eyes, we found 20 eyes (28%) with RNV, of which 13 (65%) were photographically graded as PDR, 6 (30%) as severe NPDR, and 1 (5%) as moderate NPDR. Of the eyes with RNV, 11 (55%) were treatment-naive, defined as no previous panretinal photocoagulation or anti-VEGF injections. Patient characteristics of these 20 eyes are summarized in Table 2. The 2 graders had a high level of agreement on the diagnosis of RNV (ICC for RNV, 0.96), as well as the diagnosis of RNV sprouts and RNV fronds (ICC for RNV sprouts, 0.96; ICC for RNV fronds, 0.99).

Table 2.

Demographic and Clinical Characteristics of the Eyes with Retinal Neovascularization

Parameters (n = 20)
Age, yrs (SD) [95% CI] 53.5 (12.3) [47.7–59.2]
Sex, n (male/female) 11/9
Most recent HbA1c, % (SD) [95% CI] 8.0 (2.3) [6.8–9.1]
Duration of DM, yrs (SD) [95% CI] 21.7 (12.4) [15.9–27.5]
Type 1 DM, n (%) 10 (50)
Follow-up duration, mos (SD) [95% CI] 15.5 (10.8) [10.4–20.6]
OCTA scans, n (SD) [95% CI] 3.4 (1.2) [2.8–3.9]
DR stage
 Mild NPDR, eyes (%) 0 (0)
 Moderate NPDR, eyes (%) 1 (5.0)
 Severe NPDR, eyes (%) 6 (30.0)
 PDR, eyes (%) 13 (65.0)
Treatment naive, eyes (%) 11 (55)
Previous treatment
 Panretinal photocoagulation, eyes 4
 Intravitreal VEGF injection, eyes 5

CI = confidence interval; DM = diabetes mellitus; DR = diabetic retinopathy; HbA1c = hemoglobin A1c; NPDR = nonproliferative diabetic retinopathy; PDR = proliferative diabetic retinopathy; SD = standard deviation.

Longitudinal Observation of RNV Sprout and RNV Fronds

In the 20 eyes with RNV, 64 RNV lesions were identified at the baseline, of which 38 were RNV sprouts and 26 were RNV fronds. When we assessed the origin of the flow signal in the RNV lesions, 34 (53%) originated from veins, 24 (38%) were from IRMA (dilated capillary), and 6 (9%) were from a nondilated capillary bed (Table 3). There was a significant difference in the proportion of origin of RNV between RNV sprouts and RNV fronds at the baseline (P < 0.001, Fisher exact test). Twenty-two (58%) RNV sprouts originated from IRMA, but only 2 (8%) RNV fronds were observed at the location of IRMA, and most RNV fronds (77%) originated from retinal veins. The number of RNV sprouts was greater in the treatment-naive eyes than in previously treated eyes (mean [SD] number of RNV sprouts, 2.7 [2.7] vs. 0.7 [0.5]; P = 0.037 by unpaired t test), but the number of RNV fronds was similar between the groups (mean [SD] number of RNV fronds, 1.4 [2.9] vs. 1.1 [1.3]; P = 0.81 by unpaired t test).

Table 3.

Origin of Retinal Neovascularization

Retinal Vein IRMA Nondilated Capillaries All
Baseline visit
 RNV sprout, n 14 22 2 38
 RNV frond, n 20 2 4 26
Final visit
 RNV sprout, n 16 28 9 53
 RNV frond, n 23 3 4 30

IRMA = intraretinal microvascular abnormalities; RNV = retinal neovascularization.

At the final visit, 83 RNV lesions were detected, of which 53 were RNV sprouts, and 30 were RNV fronds. Ten eyes (50%) showed progression of RNV, defined as a new RNV lesion or the development of RNV frond from an RNV sprout. During the follow-up, 4 (11%) of 38 RNV sprouts developed into RNV fronds with intervals ranging from 3 to 10 months (mean [SD], 7.0 [3.6] months). Three RNV fronds that developed during the follow-up originated from retinal veins, and 1 was from IRMA. Although 19 new RNV sprouts formed de novo during the follow-up period, no RNV frond developed outside an identified RNV sprout. The proportion of the origin of RNV flow signals at the final visit was similar to those at the baseline (Table 3). Table 4 summarizes the characteristics of the patients with evolution in their RNV.

Table 4.

Characteristics of the Eyes with Retinal Neovascularization Evolution

Patient DR Severity HbA1c, % Scan Area, mm Previous Treatment Observation Period (M) Baseline
Final Visit
Treatments During the Follow-up
RNV Sprout RNV Frond Total RNV Sprout RNV Frond Total
1 PDR 8.3 6 × 15 34 0 0 0 1 0 1 PRP
2 PDR 6.7 6 × 15 16 2 1 3 4 1 5 PRP
3 Severe NPDR 14 17 × 17 11 6 2 8 9 2 11
4 PDR 6 6 × 15 PRP 6 1 0 1 5 0 5 Anti-VEGF × 3
5 PDR 7.5 6 × 15 Anti-VEGF 12 1 2 3 2 2 4
6 Moderate NPDR 6.7 17 × 17 16 6 7 13 7 7 14
7 Severe NPDR 5.5 17 × 17 10 0 0 0 2 0 2
8 Severe NPDR 13 17 × 17 10 4 0 4 4 1 5 Anti-VEGF × 2
9 PDR 10.9 17 × 17 5 6 1 7 5 2 7 PRP
10 PDR 7.8 17 × 17 11 2 0 2 4 2 6

DR = diabetic retinopathy; HbA1c = hemoglobin A1c; NPDR = nonproliferative diabetic retinopathy; PDR = proliferative diabetic retinopathy; PRP = panretinal photocoagulation; RNV = retinal neovascularization.

Comparing the eyes with and without progression, the eyes with progression were younger in age (mean [SD] years, 47.0 [10.3] vs. 59.9 [10.9]; P = 0.014 by unpaired t test) and tended to be treatment naive (8 eyes [80%] vs. 3 eyes previously treated [30%], P = 0.07 by Fisher exact test) compared with eyes without progression, but there were no differences in other factors including the follow-up duration (P = 0.33) and the number of visits (P = 0.86; Table 5). There were also no differences in HbA1c (mean [SD] %, 8.6 [3.0] vs. 7.3 [1.3], P = 0.21 by unpaired t test) and duration of DM (mean [SD] years, 22.2 [7.3] vs. 21.2 [16.4], P = 0.86 by unpaired t test).

Table 5.

Characteristics of Eyes with and without RNV Progression

Parameters RNV Progression (+)
(n = 10)
RNV Progression (−)
(n = 10)
P Value
Age, yrs (SD) [95% CI] 47.0 (10.3) [39.7–54.3] 59.9 (10.9) [52.1–67.7] 0.014
Sex, n (male/female) 6/4 5/5 1.00
Most recent HbA1c, % (SD) [95% CI] 8.6 (3.0) [6.5–10.8] 7.3 (1.3) [6.4–8.2] 0.21
Duration of DM, yrs (SD) [95% CI] 22.2 (7.3) [17.0–27.4] 21.2 (16.4) [9.5–32.94] 0.86
Type 1 DM, n (%) 6 (60) 4 (40) 0.66
Follow-up duration, mos (SD) [95% CI] 13.1 (8.2) [7.3–18.9] 17.9 (13.0) [8.6–27.2] 0.33
OCTA scans, n (SD) [95% CI] 3.3 (1.2) [2.5–4.1] 3.4 (1.3) [2.5–4.3] 0.86
DR stage
 Moderate NPDR, eyes (%) 1 (10.0) 0 (0.0) 1.00
 Severe NPDR, eyes (%) 3 (30.0) 3 (30.0)
 PDR, eyes (%) 6 (60.0) 7 (70.0)
Treatment naive, eyes (%) 8 (80) 3(30) 0.070
Treatments during the follow-up, eyes (%) 5 (50) 5 (50) 1.00

CI = confidence interval; DM = diabetes mellitus; DR = diabetic retinopathy; HbA1c = hemoglobin A1c; NPDR = nonproliferative diabetic retinopathy; PDR = proliferative diabetic retinopathy; SD = standard deviation.

Fisher exact test.

Unpaired t test.

Case Presentation

Figures 4, 5, and 6 illustrate the representative cases. Figure 4 (patient number 8) shows a scan superior to the macula from a 51-year-old, treatment-naive, male patient with severe NPDR diagnosis at the initial visit. The en face OCT revealed multiple foci of EHM with flow signal seen above the ILM in the corresponding cross-sectional OCTA. These lesions were classified as RNV sprouts. At 10 months, 1 RNV sprout, indicated with a blue arrow, increased in size and developed into a RNV frond that extended into the vitreous cavity. Another RNV sprout, shown with a yellow arrow, increased in size, but the en face OCTA did not demonstrate a detectable vascular structure. During the 10-month interval period, this eye received 2 anti-VEGF injections for diabetic macular edema.

Figure 4.

Figure 4

Representative case from a 51-year-old treatment-naive male patient with severe nonproliferative diabetic retinopathy. The baseline en face OCT (A) showed retinal neovascularization (RNV) sprouts (blue and yellow dashed arrows) as hyperreflective foci which have flow signal above the internal limiting membrane on corresponding cross-sectional OCT angiography (OCTA) (C and D, respectively) but are difficult to recognize as RNV on en face OCTA (B). At 10 months, these hyperreflective foci increased in area on en face OCT (E) and in height on the cross-sectional OCTA (G). One RNV sprout (blue dashed arrow) formed a recognizable vascular pattern and was classified into an RNV frond (forward type), whereas the other (yellow dashed arrow) remained indistinct on en face OCTA (B) and was classified as an RNV sprout.

Figure 5.

Figure 5

Representative case from a 43-year-old female patient with a proliferative diabetic retinopathy diagnosis at baseline. The baseline en face OCT (A) showed epiretinal hyperreflective material (EHM) on the optic disc (blue dashed arrow) and questionable EHM on the superonasal vessel (yellow dashed arrow). Corresponding cross-sectional OCT angiography (OCTA) images (C, D) show small tissue above the internal limiting membrane with flow signal. At 3 months, the lesion on the optic disc was clearly recognizable as retinal neovascularization frond on en face OCTA (F) and further increased in size at 10 months (J). On en face OCT (E, I), the small superonasal lesion (yellow dashed arrow) also grew in size and was recognizable as a vascular loop at 10 months on en face OCTA (J). Note that the EHM at the inferior optic disc on en face OCT (A, E, I) is an artifact due to a segmentation error.

Figure 6.

Figure 6

The progression of a retinal vascularization sprout from an intraretinal microvascular abnormality (IRMA). A–C, no abnormalities are observable at the baseline by any image modalities. At 13 months, en face OCT angiography (OCTA) (E) showed an IRMA where no abnormalities were observed at baseline. At 34 months, both epiretinal hyperreflective material on en face OCT (G) and IRMA on en face OCTA (H) showed increase in size, and cross-sectional OCT (I) showed the breaching of the internal limiting membrane.

Figure 5 (patient number 10) is a scan that includes the optic nerve from a 43-year-old female patient with a PDR diagnosis at baseline. The patient was treatment naive and had no treatment during the follow-up period. At baseline, en face OCT revealed a small EHM at the optic disc and a questionable EHM on a superonasal arcade vessel. Flow signals were detected in the EHM at the optic disc on both en face OCTA and cross-sectional OCTA. Along a superonasal vessel, a small focus of EHM, indicated with a yellow arrow, with flow signal above the ILM on cross-sectional OCTA is present. This is distinct from other smaller hyperreflective dots seen on the en face OCT, which lack flow signal and are similar to previous descriptions of the macrophage-like cell (hyalocyte-like cell).24, 25, 26 Three months later, the RNV sprout at the optic disc developed into recognizable neovascularization at the disc (blue arrow) on en face OCTA, continuing to enlarge at 10 months. The EHM seen along the superonasal vessel also increased in size with the detectable flow on en face OCTA at 3 months. At 10 months, the lesion developed into a recognizable RNV frond.

Figure 6 (patient number 1) shows the superior scan of a 31-year-old female treatment-naive patient diagnosed with PDR at the initial visit. The eye underwent PRP at 10 months. At the 13-month visit, a focal dilation of the capillary was seen on the en face OCTA (white arrow) at the location where no abnormalities in any of the modalities at baseline. At 34 months, the corresponding location had a focus of EHM (white arrow) on en face OCT with flow signal above the ILM on cross-sectional OCTA, but en face OCTA did not illustrate a distinct vascular structure.

Discussion

In this study, we used en face OCT, en face OCTA, and cross-sectional OCTA to characterize the early signs of RNV in eyes with PDR and NPDR. The combination of en face OCT and cross-sectional OCTA showed the RNV sprout before it can be recognized on en face OCTA. Longitudinal observation illustrated that RNV sprouts developed into RNV fronds, suggesting that RNV sprouts may be the early sign of RNV. Prior studies have already reported RNV sprout-like changes at the location of IRMA using SD-OCT and OCTA.7, 8, 9, 10 In the current study, we utilized en face OCT that can show structural changes on the entire plane of the retinal surface to identify early initiation of RNV at not only IRMA but also in retinal veins and nondilated capillaries. Thus, combining en face OCT and cross-sectional OCTA could be useful to detect the early stages of RNV.

A RNV sprout was seen by cross-sectional OCT as a pyramid-shaped EHM (Figure 3, Figure 4, Figure 5, Figure 6). This is similar to the histologic descriptions of autopsy eyes with retinopathy of prematurity27 and to eyes from experimental nonhuman primates,28 which were presumed to be early endothelial proliferation. Some of these lesions increased in size on en face OCT and became recognizable on en face OCTA with characteristic vascular patterns of RNV (Figs 4, 5). Lee et al demonstrated IRMA initially outpouching the ILM without breaching the ILM, subsequently progressing into RNV. Similarly, we also saw that an RNV sprout can evolve from IRMA (Fig 6), seeming to outpouch the ILM (Fig 6F) then breaching the ILM (Fig 6I). However, the case in Figure 5 demonstrated that an RNV sprout (indicated with a yellow arrow) can evolve directly from a retinal vein without an outpouching dilated capillaries. In this study, the RNV originating from IRMA represented 38% of cases, and the other RNV lesions were from retinal veins and nondilated capillaries, consistent with a prior study.12 Although IRMA could be a precursor of RNV,7, 8, 9, 10 EHM on en face OCT also could be an important precursor of RNV associated with an increased risk of progression to PDR.

Prior histological studies showed early structural changes in RNV,27,28 and foci of the proliferation of both vascular and connective tissues into the vitreous,29 corresponding to the recent OCT and OCTA findings of early structural changes in proliferative retinal vascular diseases.7,8,15,30,31 Because differentiation and proliferation of the endothelial cells precede the formation of the vessel lumen,32 it is not surprising that structural changes can be observed before the flow is detected. Additionally, the structural area of RNV is greater than the flow area of RNV.33 Therefore, en face OCT is a useful method to identify early structural changes in RNV. The flow signal above the ILM detected by cross-sectional OCTA is essential for differentiating RNV sprouts from IRMA and other retinal abnormalities.34 However, inspecting each B-frame, particularly in a wide-field OCTA, may be impractical in a clinical setting. A single 17 × 17-mm montage scan in this study contains 2400 B-scans. Identifying key areas of interest using the en face OCT by recognizing focal EHM may be a useful, expedited way to identify early signs of RNV. Although the en face OCT improves the efficiency, reviewing a combination of en face OCT, en face OCTA, and cross-sectional OCTA for detecting RNV may still be impractical for a real-life clinical setting. An algorithm that can automatically detect these lesions may be necessary to be able to apply these insights to everyday clinical practice.

In the current study, 4 RNV sprouts developed into RNV fronds with a mean interval of 7 months (range, 3 to 10 months). Prior studies reported that the IRMA progressed into an RNV 1 to 14 months after the initial evaluation. Similarly, ETDRS report No. 9 recommended that the patients with severe NPDR and non–high-risk PDR be examined within 2 to 4 months because the risk of progression to PDR was high,35 suggesting the RNV development from RNV sprouts and IRMA may occur within a few months. The combination of en face OCT and OCTA illustrated the sequential process of RNV; however, we could not find the relationship between RNV and other preretinal findings such as macrophage-like cells (hyalocyte-like cells)24, 25, 26 and epivascular glia.36 A more frequent observation may be necessary to elucidate the spatial relationship between these preretinal cells and RNV evolution.

In this cohort, the treatment-naive eyes had more RNV sprouts and tended to have more progression over the follow-up period, suggesting that treatment has an effect on the development of early RNV. However, although recent randomized clinical trials demonstrated that anti-VEGF treatment lowers the probability of eyes with moderate-to-severe NPDR progressing to PDR, it did not change the visual outcome or the rate of vitreous hemorrhage from PDR.37, 38, 39, 40 But these studies included eyes with moderate-to-severe NPDR, many of which do not progress to PDR. It is possible that by identifying the subgroup of patients with unrecognized RNV lesions, including RNV sprouts and subclinical RNV fronds, a clinical diagnosis of moderate-to-severe NPDR could make a meaningful difference in the visual outcome while reducing the population treatment burden. Further study that pairs treatment with early detection is necessary to test whether this approach can improve outcomes for patients with DR.

It should be noted that OCTA was essential in confirming the nature of the epiretinal lesions in this study. Lee et al demonstrated the utility of structural OCT in evaluating IRMA and neovascularization, pointing to the histological aspects that OCT B-scan can reveal that fluorescein angiography (FA) cannot.7 They also included cases that were diagnosed as RNV by clinical examination and by OCT but lacked leakage on FA and further argued that FA is a useful but not definitive tool in determining whether a lesion was NV elsewhere. Furthermore, they recognized that there were cases with disagreement between clinical examination and structural OCT findings in determining whether a lesion was IRMA or RNV. For these, the technology at the time (2012–2013) did not offer a way to determine the nature of the lesion. With OCTA, however, the ability to see flow signal above the ILM allows for a more satisfactory way to classify a lesion that correlates to histology than clinical examination, FA, or structural OCT.

There are several limitations to this study. The study was retrospective with a small number of patients. Visit intervals and treatment protocol were not standardized. The goal of treatment with anti-VEGF injections in this cohort was to manage diabetic macular edema or clinically evident PDR not necessarily for preventing or eliminating all RNV lesions. The clinicians did not have access to the images that demonstrated the subclinical RNV. It is perhaps not surprising that the treatment did not necessarily correlate to lower incidence or area of RNV lesions. Although HbA1c and DM duration were well-known risk factors for worsening DR,2 they were not correlated with the progression of RNV in this study. Because the small sample size limits analysis, further study with a large sample size is needed. The study included 2 different OCTA scan protocols with different fields of view. Although all scans had the same sampling density (15 μm/A-line), different scan areas affected the detection rate of RNV sprouts and RNV fronds. We did not differentiate IRMA with outpouching the ILM from the IRMA with breaching the ILM proposed by Lee et al,7 because our imaging protocol did not have an adequate resolution. Instead, we used a combination of structural and angiographic images to distinguish IRMA from RNV. Most RNV lesions are located in the midperipheral retina at a distance of 1 to 6 disc diameters away from the disc margin.41 A 15- × 9-mm montaged OCTA is expected to detect only 39.0% of RNV lesions detected by ultra-widefield FA.42 Although the aim of the study was not to assess the sensitivity of this technique to detect RNV lesions, we likely have missed many RNV lesions due to the limited field of view. Additionally, the study documented the development of RNV sprouts into RNV fronds; however, it is unknown whether an earlier detection and treatment of these subclinical lesions can reduce the risk of vision-threatening complications, such as vitreous hemorrhage and tractional retinal detachment.

In conclusion, we have demonstrated that a combination of en face OCT, en face OCTA, and cross-sectional OCTA can reveal the early stages of RNV before they are clinically recognizable. Longitudinal observation demonstrated that RNV sprouts develop into RNV fronds, suggesting that RNV sprouts may be an early sign of RNV evolution. Hyperreflective foci on the en face OCT could be a biomarker for early detection of PDR.

Manuscript no. XOPS-D-22-00266R1.

Footnotes

Supplemental material available atwww.ophthalmologyscience.org.

Presented at the ARVO meeting 2023 in New Orleans, paper session.

Disclosures: All authors have completed and submitted the ICMJE disclosures form.

The authors have made the following disclosures: J.W.: Financial interest – Optovue/Visionix Inc.

Y.J.: Financial interest – Optovue/Visionix Inc.

D.H.: Financial interest – Optovue/Visionix Inc.; Consultant – Boeringer Ingelheim.

K.T.: Financial interest – Bayer, Santen, Chugai, Alcon, Senju.

None of the other authors have any proprietary or commercial interest in any materials discussed in this article.

This work was supported by the National Institute of Health (R01 EY035410, R01 EY027833, R01 EY024544, R01 EY031394, T32 EY023211, UL1TR002369, P30 EY010572); the Malcolm M. Marquis, MD Endowed Fund for Innovation; an Unrestricted Departmental Funding Grant and Dr H. James and Carole Free Catalyst Award from Research to Prevent Blindness (NewYork, NY), Edward N. & Della L. Thome Memorial Foundation Award, and the Bright Focus Foundation (G2020168, M20230081). The funding source had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

This research was presented at the ARVO meeting, April 23–27, New Orleans, LA.

HUMAN SUBJECTS: Human subjects were included in this study. The study adhered to the tenets of the Declaration of Helsinki and complied with the Health Insurance Portability and Accountability Act of 1996. The institutional review board of Oregon Health Science University approved the study. All participants provided a written informed consent to participate in the OCT/OCT angiography studies.

No animal subjects were included in this study.

Author Contributions:

Conception and design: Tsuboi, Hwang

Data collection: Tsuboi, Mazloumi, Flaxel, Bailey, Hwang

Analysis and interpretation: Tsuboi, Guo, Wang, Jia, Hwang

Obtained funding: Jia, Hwang

Overall responsibility: Tsuboi, Wilson, Huang, Jia, Hwang

Supplementary Data

Figure S1

Optimization of custom segmentation for detecting RNV. (A to E) Segmentation #1 was a thin slab bounded by the ILM and positioned 30μm anterior to the ILM toward the vitreous cavity. Segmentation #1 can illustrate flat RNV (white dashed arrow, corresponding to panel C) and small RNV (blue dashed arrow, corresponding to panel E) on en face OCT (A), while tabletop RNV (yellow dashed arrow, corresponding to panel D) is only partially detected on en face OCT (A). On en face OCTA with segmentation #1 (B), flat RNV is only observable (white dashed arrow). (F to J) Segmentation #2 was a thick slab defined between the ILM and the position 300 μm anterior to the ILM. Segmentation #2 clearly depicts tabletop RNV (yellow dashed arrow, corresponding to panel I) on both en face OCT (F) and en face OCTA (G), however, small RNV (blue dashed arrow, corresponding to panel J) is barely detectable. Based on these observations, we defined that the vitreoretinal interface (VRI) slab for en face OCT was segmentation #1. For en face OCTA, the VRI slab was segmentation #2.

mmc1.pdf (2.6MB, pdf)

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Figure S1

Optimization of custom segmentation for detecting RNV. (A to E) Segmentation #1 was a thin slab bounded by the ILM and positioned 30μm anterior to the ILM toward the vitreous cavity. Segmentation #1 can illustrate flat RNV (white dashed arrow, corresponding to panel C) and small RNV (blue dashed arrow, corresponding to panel E) on en face OCT (A), while tabletop RNV (yellow dashed arrow, corresponding to panel D) is only partially detected on en face OCT (A). On en face OCTA with segmentation #1 (B), flat RNV is only observable (white dashed arrow). (F to J) Segmentation #2 was a thick slab defined between the ILM and the position 300 μm anterior to the ILM. Segmentation #2 clearly depicts tabletop RNV (yellow dashed arrow, corresponding to panel I) on both en face OCT (F) and en face OCTA (G), however, small RNV (blue dashed arrow, corresponding to panel J) is barely detectable. Based on these observations, we defined that the vitreoretinal interface (VRI) slab for en face OCT was segmentation #1. For en face OCTA, the VRI slab was segmentation #2.

mmc1.pdf (2.6MB, pdf)

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