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Review

Optical Coherence Tomography Angiography in Intermediate and Late Age-Related Macular Degeneration: Review of Current Technical Aspects and Applications

by
Adriano Carnevali
1,*,†,
Rodolfo Mastropasqua
2,†,
Valentina Gatti
1,
Sabrina Vaccaro
1,
Alessandra Mancini
1,
Rossella D’Aloisio
3,†,
Marco Lupidi
4,5,6,†,
Alessio Cerquaglia
4,
Riccardo Sacconi
7,†,
Enrico Borrelli
7,†,
Claudio Iovino
8,†,
Livio Vitiello
9,
Mario Damiano Toro
10,11,
Aldo Vagge
12,†,
Federico Bernabei
13,†,
Marco Pellegrini
13,†,
Antonio Di Zazzo
14,†,
Matteo Forlini
15,† and
Giuseppe Giannaccare
1,†
1
Department of Ophthalmology, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy
2
Ophthalmology Clinic, University of Modena and Reggio Emilia, Azienda Ospedaliero-Universitaria di Modena, 41125 Modena, Italy
3
Ophthalmology Clinic, Department of Medicine and Science of Ageing, University G. D’Annunzio Chieti-Pescara, 66100 Chieti, Italy
4
Department of Surgical and Biomedical Sciences, Section of Ophthalmology, University of Perugia, S. Maria della Misericordia Hospital, 06156 Perugia, Italy
5
Fondazione per la Macula Onlus, Di.N.O.G.Mi., University Eye Clinic, Viale Benedetto XV 5, 16132 Genova, Italy
6
Centre de l’Odéon, 113 Boulevard St. Germain, 75006 Paris, France
7
Department of Ophthalmology, University Vita-Salute, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy
8
Eye Clinic, Multidisciplinary Department of Medical, Surgical and Dental Sciences, University of Campania Luigi Vanvitelli, 80131 Naples, Italy
9
Eye Clinic, Department of Medicine, Surgery and Dentistry, “Scuola Medica Salernitana”, University of Salerno, 84081 Salerno, Italy
10
Department of Ophthalmology, University Hospital of Zurich, University of Zurich, 9081 Zurich, Switzerland
11
Faculty of Medicine, Collegium Medicum, Cardinal Stefan Wyszyński University, 01815 Warsaw, Poland
12
Eye Clinic of Genoa, DiNOGMI—University of Genova IRCCS Ospedale, Policlinico San Martino, 16132 Genova, Italy
13
Ophthalmology Unit, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), Alma Mater Studiorum University of Bologna, S.Orsola-Malpighi Teaching Hospital, 40138 Bologna, Italy
14
Department of Ophthalmology, University Campus Bio-Medico of Rome, 00128 Rome, Italy
15
Department of Ophthalmology, Istituto per la Sicurezza Sociale, San Marino State Hospital, 47890 San Marino, San Marino
*
Author to whom correspondence should be addressed.
Member of the Young Ophthalmologists Reviews Study Group (YORSG).
Appl. Sci. 2020, 10(24), 8865; https://doi.org/10.3390/app10248865
Submission received: 6 November 2020 / Revised: 1 December 2020 / Accepted: 8 December 2020 / Published: 11 December 2020
(This article belongs to the Special Issue Optical Coherence Tomography: From OCT-A to All Latest Advances)

Abstract

:
Optical coherence tomography angiography (OCTA) is a non-invasive diagnostic instrument that has become indispensable for the management of age-related macular degeneration (AMD). OCTA allows quickly visualizing retinal and choroidal microvasculature, and in the last years, its use has increased in clinical practice as well as for research into the pathophysiology of AMD. This review provides a discussion of new technology and application of OCTA in intermediate and late AMD.

1. Introduction

Age-related macular degeneration (AMD) is the third leading cause of severe irreversible vision loss worldwide, and it represents the major cause of central blindness in developed countries, especially among people older than 60 years [1,2,3]. Prevalence data suggest that about 200 million of people are nowadays affected by AMD, and this value is expected to increase to nearly 300 million by 2040 [4].
The advancement of imaging technology, in particular the use of optical coherence tomography (OCT) and OCT angiography (OCTA), has improved scientific knowledge on AMD, making mandatory a multimodal imaging approach for retinal and choroidal conditions. OCTA allows a clear and detailed visualization of retinal and choroidal microvasculature, and it is useful either for reaching the diagnosis or for guiding treatment choice and monitoring AMD patients [5,6].
In 2013, Ferris proposed a five-stage AMD clinical classification based on the risk of progression [7]. According to this classification, the presence of only small drusen ≤63 µm without pigmentary abnormalities is considered normal aging change; early AMD is characterized of medium drusen >63 µm and ≤125 µm, while intermediate AMD (iAMD) is defined with the presence of large drusen >125 µm and/or pigmentary abnormalities. Late AMD develops when macular neovascularization (MNV) or geographic atrophy (GA) occur [7].
MNVs are a growth of abnormal vessel and associated tissues into the outer retina, subretinal space, or subretinal pigmentary epithelium (RPE) space. They are classified according to the anatomic location determined by OCT imaging into three types: type 1 is a growth of vessels from choriocapillaris that proliferates into and within the sub-RPE space; type 2 originates from the choroid, and it passes through the Bruch’s membrane and the RPE monolayer proliferating in the subretinal space; type 3 develops from the retinal circulation, usually in the deep capillary plexus, and it grows toward the outer retina [8,9].
MNV are usually characterized by intraretinal or subretinal fluid within the macula, but recent studies demonstrated that type 1 MNV can present without exudation on OCT, but it can be well visualized by means of fluorescein angiography (FA), indocyanine green angiography (ICGA), and OCTA [10,11]. The Consensus on Neovascular AMD Nomenclature (CONAN) group stated that this form of MNV could be identified more commonly with the improvement of imaging technology, but there is still not a consensus on which term to use [9]. In this article, we will use the term nonexudative MNV, even if there is a substantial difference between the term “treatment-naïve quiescent neovascularization” used by Querques and colleagues [10] and “asymptomatic, nonexudative or subclinical MNV” used by other authors [12,13,14,15]. Treatment-naïve quiescent neovascularization are MNVs without sign of activity for at least 6 months from baseline, while all the other terms refer to new diagnosis MNVs without exudation [10,12,13,14,15].

2. Materials and Methods: Search Strategy Design

A preliminary Pubmed search strategy was built up by an experienced information specialist, aided by all authors, combining free-text terms and synonyms of “optical coherence tomography angiography” and “age-related macular degeneration”. Only scientific articles wrote in English language in the last 5 years were included for internal review and were further evaluated. Overall, there were 2246 scientific articles, and after analyzing manuscript′s titles and abstracts, 89 articles were selected. Moreover, a few select articles published before 2015 have been cited for historical purposes.

3. AMD Diagnosis

In the last decades, new multimodal imaging techniques have been incorporated to study AMD. They have led to a remarkable improvement in both understanding of the pathophysiology of macular diseases and its progression, but most importantly, to monitor treatment response [16].
FA is an irreplaceable dye-based invasive diagnostic tool to detect subtle neovascularization, monitor leaks, and compare them with staining and window defects. In the era of photodynamic therapy, FA has been considered the gold standard method for detecting and classifying subtle choroidal neovascularization as classic, occult, or combination subtypes [16,17]. Nowadays, it is still a useful method for the detection of “active” neovascularization and geographic atrophy [16]. However, fluorescein dye leaks from blood vessels, making it less ideal for visualization of details in the choroidal circulation [18]. Although FA is useful for the visualization of MNV, retinal–choroidal anastomoses and other choroidal vascular abnormalities are better visualized using ICGA [18]. In contrast to FA, it uses a dye that is 98% protein bound, providing more detailed images of the choroid and thus identifying the entire extension of the MNV [16]. However, both modalities have many drawbacks: they are time consuming and invasive, requiring intravenous dye injection, which can cause some side effects such as nausea and anaphylaxis [19].
In last two decades, OCT has emerged as a new non-invasive diagnostic tool for the diagnosis and follow-up treatment of macular diseases. Particularly in AMD, OCT facilitates in vivo high-resolution evaluation of the retina [20], so detecting the presence of drusen, RPE atrophy, fibrovascular complex, sub and intraretinal fluid, among other features [18].
More recently, OCTA has become available to retinal specialists. Unlike traditional angiography and ICGA, OCTA is a quick and non-invasive 3D imaging modality that does not require the use of a contrast agent [21]. OCTA detects the erythrocyte movement by analyzing the signal decorrelation within multiple B-scans performed repeatedly at the same location of the retina [12,16,21]. Changes in temporal contrast at a specific location indicate movement (erythrocyte motion) and hence vessel location [21].
OCTA allows the direct visualization and measurement of the foveal avascular zone (FAZ) area and provides morphologic and quantitative vascular information on macular microcirculation, including the deep and superficial capillary plexus, with good reproducibility and repeatability, in vivo and without dye leakage and staining that may obscure the limits and anatomy of pathologies [22].
However, as with any other imaging methods, several image artifacts also occur in OCTA, such as the shadow effect or those due to algorithms for data acquisition and image processing and motion-related artifacts [21].

4. Current OCTA Devices

OCTA represents an emerging non-invasive imaging technology that provides detailed visualization of the retinal and choroidal vascular networks. This technique employs the principle of motion contrast in order to generate blood flow and thereby images the vasculature without the need for a contrast agent [23]. Since its introduction, OCTA has allowed a deep characterization of several retinal pathologies, including AMD, diabetic retinopathy, vascular diseases, and also different inherited retinal diseases such as Stargardt macular dystrophy, Best disease, and choroideremia [24,25]. OCTA is able to compare the signals of sequential OCT B-scans from the same cross-section and distinguish the moving scatters from the tissue in the background in order to provide an image of retinal and choroidal networks [23]. In this way, it allows acquiring angiograms in a short time (<5 min), without the use of dye.
OCTA technology is constantly evolving to improve image quality, acquisition time, and the automatic interpretation of scans. Table 1 shows the comparison of different commercially available OCTA devices: Zeiss AngioPlex, Cirrus HD-OCT 6000; Optovue AngioVue, RTVue XR AVANTI; Topcon Triton, DRI Triton; Heidelberg Spectralis, OCT2, Angiography; Nidek AngioScan RS-3000 Advance 2 and Canon Angio Xephilio OCT-S1. Table 1 compares the main characteristics provided by the manufacturer, including central wavelength, scanning speed, resolution, imaging depth, and imaging size.
The OCTA devices available at the present can do 70,000 to 100,000 scans per seconds. The scanning speed is related to the presence of motion artifact and to the image resolution. In particular, the higher the scanning speed, the lower the motion artifacts that would be present in the final image. This feature plays a fundamental role in the clinical practice, where it is often necessary to optimize exam times. Recently, Topcon, Zeiss, and Canon developed novel systems that allow a scanning speed of 100,000 scans per second.
In addition, imaging depth has been improved compared to the first models. In particular, in current available devices, the imaging depth ranges from 2.0 to 5.3 mm.
The software for the visualization of volumetric data, and segmentation algorithms, is different between the devices and hardly comparable. Different approaches, such as the amplitude decorrelation algorithm and the combined intensity and phase decorrelation, have been developed to improve image quality and to reduce the motion artifacts [26,27,28].
Finally, the image size has been significantly increased over the years. In fact, in the first models, only 3 × 3 or 6 × 6 scans were possible. Recently, 12 × 12 by Zeiss and even 20 × 23 by Canon have also been introduced.
Moreover, two main Fourier domain detection systems of OCTA are available: the spectral domain (SD-OCTA) and the swept source OCTA (SS-OCTA) [16].
The SD-OCT employs a broadband near-infrared superluminescent diode that has a wavelength of 840 nm, with a spectrometer to measure wavelengths of light. The SS-OCT instead employs a tunable swept laser that has a wavelength of 1050 nm and uses a single photodiode detector [16,29,30].
The main advantages of SS-OCTA imaging over SD-OCTA are (i) the faster scanning speed, which allows for denser scan patterns and larger scan areas compared with SD-OCT scans for a given acquisition time, it presents a faster scanning speed, resulting in a higher number of scans for a given acquisition time compared with SD-OCT, (ii) its reduced sensitivity roll-off, resulting in enhanced light penetration through the RPE, as well as a better detection of signals from the sub- RPE layer due to its reduced sensitivity roll-off, which allows a better light penetration through the RPE and thus a greater detection of signals from the sub-RPE layer [31], which is particularly important in case of drusen or RPE thickening (iii). Since that resolution depends mainly on the wavelength, increasing this parameter allowed a better axial resolution, resulting in a better characterization of the different layers even in the presence of obstacles such as the presence of cataracts or vitreous opacities.
The higher wavelength in combination with the reduced sensitivity roll-off improves the detection the weaker signals from the deeper layer, resulting in a better detection of type 1 MNV compared with SD-OCTA imaging [30,31].

5. OCTA in Intermediate AMD

AMD may present at different stages, and the “intermediate AMD” stage is clinically characterized by the presence of pigmentary abnormalities and/or large drusen [7]. Of note, eyes with subretinal fluid may be also characterized by the absence of neovascularization and thus classified as iAMD [32].
Although the AMD pathogenesis is intricated and related to several systemic and lifestyle factors that may have a role in the development and progression of this disorder [33,34], a growing body of evidence suggests that this disorder is ultimately characterized by damage of the unit comprised of photoreceptors, RPE, Bruch’s membrane, and choriocapillaris (CC) complex [35,36,37]. Importantly, several pieces of evidence suggest that this may be considered as a tightly knit, integrated unit [38,39,40]. In AMD, this impairment causes the development of drusen and progressive photoreceptor, RPE, and CC degeneration [41,42,43,44].
Previous studies have fully characterized the CC perfusion in eyes with iAMD [25,45,46,47,48]. In detail, using both spectral domain and swept source technologies, Borrelli and colleagues demonstrated that the CC is impaired (i.e., CC ischemia) in these eyes [45,46]. Importantly, they provided a topographical analysis revealing that the CC impairment is mainly confined to the CC beneath and surrounding drusen [46]. Moreover, the CC perfusion was more affected in iAMD eyes with neovascular AMD in the fellow eyes [45], especially in those with type 3 MNV [47]. In two studies employing OCTA in iAMD eyes [49,50], the authors showed that the CC perfusion is strictly correlated with macular function in these eyes, further highlighting the association between CC ischemia and outer retina dysfunction in iAMD.
Although the CC is known to be the vascular plexus most affected in AMD, also retinal vessels were demonstrated to be impaired in these eyes [51,52]. Toto et al. demonstrated that eyes with iAMD are characterized by a lower retinal perfusion as compared with normal eyes [51]. Of note, iAMD eyes with OCT signs of nascent GA are featured by a greater reduction in retinal vessels perfusion [52].

6. OCTA in Type 1 MNV Secondary to AMD

Type MNV has been identified as the main complication of AMD [53]. The typical “pin-points” hyperfluorescent spots at the late stages of FA and the plaque pattern in ICGA characterize type 1 MNV lesion that peculiarly grows under RPE [54]. Different responses to anti-vascular endothelial growth factor (VEGF) treatment can be observed with a consequent variable visual outcome of subjects suffering from such a condition.
To date, many advances in multimodal imaging have been made and routinely added in the clinical practice to better identify and follow MNV lesions, studying in detail retinal and choroidal microvasculature combined with the co-registered OCT structural scan.
Given the longer wavelength and the wider scan, SS-OCTA imaging modality provides a more qualitative analysis of tissues beneath the RPE, thus allowing a precise evaluation of perfusion and structural features, despite drusen-related shadowing artifacts [30].
SS-OCTA has also the advantage of providing a full extension of MNV lesion, if compared with spectral domain imaging modalities and is beneficial particularly in asymptomatic eyes with presumed intermediate AMD, given the systemic risks of FA/ICGA as well as their costs.
Furthermore, the detection of subclinical MNV using OCTA is being crucial to identify early signs of the disease activity and to investigate some biomarkers that have been considered as predictors in terms of functional and anatomical outcomes. Indeed, subclinical MNV can appear as slightly elevated RPE with moderately reflective material in the sub-RPE space. Shi et al. have considered the OCT double-layer sign as a predictive biomarker in identifying subclinical neovascularization in AMD [55]. Double-layer sign has been observed on OCT scan as an irregular pigment epithelial detachment described as highly reflective layers corresponded to a little separation between the RPE and another highly reflective layer and Bruch’s membrane [55].
Some OCTA-based criteria have been proposed as well, especially to identify different subgroups [56].
Using advanced post-processing analysis, Arrigo et al. described an OCTA-based classification of type 1 MNV, quantifying OCTA features in 120 patients with newly diagnosed type 1 MNV and distinguishing two different subgroups: a high vessel tortuosity (VT) subgroup and a low VT one [57]. The latter seems to have a better clinical prognosis with higher final visual outcomes and with lower signs of degenerative outer retinal alterations. On the other hand, the patients presenting high VT have a more florid neovascular network and probably more aggressive nature (Figure 1).
Although the presence of the intraretinal hyper-reflective foci is a known biomarker of the MNV’s response to treatment, it seems to be less reliable than VT in differentiating clinically relevant MNV subgroups, suggesting a key role in VT as a predictive biomarker of lesion worsening with the onset of subretinal fibrosis. However, the authors noticed that both subgroups (high and low VT) required a similar number of intravitreal injections.
Of note, Farecki et al. observed that type 1 MNV has fewer sharp boundaries with a larger extension if compared with a type 2 MNV on an OCTA scan [58].
The OCTA categorization of type 1 MNV secondary to AMD has become essential both in research field and in the clinical setting to have a better knowledge about the prognosis and response to treatment.
Pilotto et al. described early MNV changes after intravitreal anti-VEGF using OCTA imaging, such as a decrease in MNV mean area after treatment clearly visible at en face OCTA images and reduction in pigment epithelial detachment (PED) height and central macular thickness (CMT) on an OCT scan [59]. Only after 48 h, in most cases, a decreased visibility of the littler choroidal branching vessels was detected, which was not always associated with a persistence of flow from larger vessel trunks. Similarly, Spaide et al. had already observed the behavior of new vessels during anti-VEGF treatment, providing qualitative and quantitative changes in the morphology and flow of the network [60].
A reduction of VEGF after injections seems to lead vessel vasoconstriction combined with the flow signal regression [61].
One of the main limitations of OCTA in investigating type 1 MNV remains the lack of subtle leakage identification, which is easily seen from the traditional FA. Nevertheless, the traditional FA combined with ICGA is really time consuming and requires the use of dye with possible systemic complications. Farecki et al. have reported that FA does not give more information for the management of exudative AMD if compared with OCT imaging [58].
Another important OCTA limitation that deserves mentioning is represented by a projection artifact that in AMD conditions is from inner retinal vessels to both above and under RPE. To solve projections-related problems, the masking technique was firstly proposed blocking the larger vessel projection of the en face superficial retinal slab to the en face outer retinal and choriocapillaris slabs [62]. Unfortunately, this method removed the flow signal from blood vessels in the outer retinal layer as well.
Another projection removal system proposed was the subtraction of flow signal of superficial vessels from flow signal detected in the deeper retinal layers, thus allowing a better exploration of MNV extension. Nevertheless, it also caused the flow signal attenuation of the choroidal lesions [63,64].
A new algorithm for projection-resolved OCTA (PR-OCTA) with a high within-visit repeatability has been developed, acting on the single voxels, thus providing more resolution of MNV on both en face and cross-sectional images [65,66,67].
The current standard of classifying MNV type seems to remain a multimodal imaging approach that utilizes both FA/ICGA and OCTA combined with the co-registered structural OCT. However, OCTA can give a new understanding of the vascular features and changes over time and/or after treatment of macular new vessels and has become a fast imaging tool in clinical real-life settings for the follow up and management of exudative macular lesions.

7. OCTA in Type 2 MNV Secondary to AMD

Type 2 neovascular networks in AMD originate from the choroid and are located in the subretinal space [8]. The presence of subretinal hyperreflective material (SHRM) on structural OCT is a common finding in type 2 MNVs, and it was reported to be highly correlated with visual function worsening [68]. SHRM was described to be related to several components as neovascular tissue, hemorrhage, subretinal exudation (Figure 2), and fibrosis [69,70]. Sometimes, it might be challenging to distinguish between SHRM components using conventional imaging; therefore, OCTA can be decisive in distinguishing the neovascular from the exudative component [71]. Kuehlewein et al. described the visualization of a large type 2 neovascular lesion on OCT angiograms [72]. Two large central trunks and a dense branching network of smaller caliber vessels radiating in all directions from the main trunk were appreciated [72]. El Ameen et al. observed different type 2 MNV patterns on OCTA: the “medusa-shaped” and the “glomerulus-shaped” [73]. In the medusa-shaped pattern, a compact zone of tiny blood vessels with a minimal hypodense structure inside was present, whereas the glomerulus-shaped lesions were compared with the kidney glomerulus as globular structures of entwined vessels separated by hypodense spaces [73]. The capability of OCTA in detecting the flow signal at the level of SHRM was demonstrated even when type 1 and 2 components coexist in the same neovascularization, the so-called mixed lesion [74]. Coscas et al. observed on OCT angiograms a qualitative and quantitative reduction of both type 1 and type 2 components of vascular networks after intravitreal VEGF-trap treatment [74]. Dolz-Marco et al. described the regression of type 2 lesions into a type 1 pattern after anti-VEGF treatment [75]. OCTA was also able to show the disappearance of flow signal in the subretinal space with the progressive attenuation and dislocation beneath the RPE of the same flow signal after treatment [75].
Moreover, the OCTA detection of neovascular networks in patients with subretinal fibrosis secondary to neovascular AMD was reported to be associated with poorer visual function outcomes [76]. Several authors have quantitatively analyzed OCT-A biomarkers of both type 1 and type 2 MNVs, detecting different behaviors of neovascular networks [62,72,74,77,78]. Jia et al. reported that larger lesions and type 2 MNVs showed higher flow index, which is a parameter that was directly correlated with the presence of active blood flow within the vascular complex [62]. Zhao et al. observed that type 2 lesions showed a smaller flow area, smaller greatest vascular caliber (GVC), and smaller greatest linear dimension (GLD) when compared to type 1 lesions [77]. Moreover, type 2 networks were associated with a shorter duration of the disease, which is a parameter that was positively correlated with GVC [77]. Kuehlewein et al. observed that MNV vessel and lesion size reduction after anti-VEGF treatment was mostly prominent in type 2 MNVs, rather than in more complex and long-standing vascular networks as type 1 MNVs [72]. Even other parameters such as MNV area and GLD, computed on “en face” OCT angiograms, were reported to decrease after anti-VEGF treatment more in type 2 than in type 1 lesions [56,72]. Two new quantitative parameters have been recently proposed: the VT, which reflects the geometrical properties of a neovascular network, and the vessel dispersion (VDisp), which express the disorganization degree of the MNV [78]. Type 2 lesions seemed to show highest VDisp values than type 1 MNVs, whereas VT values were similar in both neovascular subtypes [56].

8. OCTA in Type 3 MNV Secondary to AMD

Type 3 MNV, also known as retinal angiomatous proliferation (RAP), is considered a peculiar form of neovascular AMD [79]. It originates from retinal vessels in the deep vascular complex and infiltrates the sub-RPE space [80]. Multimodal imaging evaluation including color fundus photography, FA, ICGA, SD-OCT, and OCTA is helpful in type 3 MNV diagnosis [80,81,82].
On SD-OCT, the lesion is characterized by the presence of a characteristic intraretinal hyperreflective lesion emanating from the deep capillary plexus (DCP) at the junction of the inner nuclear layer (INL) and outer plexiform layer (OPL) [81]. It is associated with intraretinal cystoid edema with or without subretinal RPE fluid [81]. The pathophysiology of type 3 MNV remains unclear, but in recent years, OCTA has increasingly played a greater role in the diagnosis and treatment monitoring of this retinal disease [83].
Concerning the diagnosis of type 3 MNV, OCTA has been shown to clearly display the retinal–retinal anastomosis [80]. Such lesions originate from the DCP, creating a clear, tuft-shaped, high-flow network in the outer retinal segment, abutting in the sub-RPE space [84] (Figure 3).
Furthermore, the choriocapillaris segmentation slab could contain a small, clew-like lesion, connected in some cases with the choroid through a small-caliber vessel [84,85,86].
It is also possible to find the presence of intraretinal hyperreflective foci at the site of type 3 MNV development, which is characterized by detectable flow on OCTA, identified within the avascular slab or either the DCP or avascular slabs [87]. Typically, these hyperreflective foci on OCTA are characterized by the absence of intraretinal exudation, or very mild microcystic changes, until the lesion progresses from the DCP into the RPE and sub-RPE space [87,88,89].
Using OCTA findings, a recent classification of type 3 MNV was also proposed, providing a better characterization of the disease [90]. Stage 1 is characterized by telangiectatic flow in the DCP without OPL disruption, stage 2 presents downward intraretinal flow and subretinal flow without RPE disruption, while stage 3 shows downward flow and RPE disruption [90].
Interestingly, OCTA evaluation of the fellow eye of patients with unilateral type 3 MNV also showed several significant changes. In particular, affected eyes showed increased choriocapillaris nonperfusion versus contralateral non-neovascular eyes, suggesting that choroidal ischemia could play an important role in the development of type 3 MNV [47]. In addition, contralateral eyes of patients with unilateral lesion show a reduced vascular perfusion compared to control eyes [91].
Of note, OCTA has been shown to be very useful in the type 3 MNV assessment after anti-VEGF therapy [92]. It clearly shows how the tuft-shaped abnormal outer retinal lesion tends to change after 1 year of anti-VEGF therapy. Either the flow becomes undetectable, or a sub-RPE neovascularization, with persistence of the DCP abnormalities, can develop [92].
Moreover, at the non-exudative stage after the treatment, OCTA can show a decrease of the flow inside the retinal lesions, with a regression of the connection between DCP and the RPE/sub-RPE space [93]. Whereas, at the time of recurrence of the exudation after the treatment, OCTA shows the presence of intra/sub-retinal exudation with restoration of the flow deepening from the DCP to the RPE/sub-RPE space [93].
OCTA has also confirmed the efficacy of a combined treatment with photodynamic therapy and anti-VEGF injections, showing a resolution of vascular and structural abnormalities, although this does not always correspond to a visual acuity improvement [94,95].
Overall, OCTA showed a good level of sensitivity and accuracy in the diagnosis and characterization of type 3 MNV by increasing the detection rate for these lesions and offering new insights into this retinal disease [96,97].

9. OCTA in Geographic Atrophy

Geographic atrophy (GA) represents the advanced form of dry AMD, and it affects more than 5 million people worldwide [4]. GA is characterized by the degeneration of photoreceptor cells, RPE, and CC. Usually, in the early stages of the disease, it involves the extrafoveal region and then includes the fovea, limiting daily activities and impairing quality of life [98,99,100,101].
GA is commonly assessed by color fundus photography and fundus autofluorescence (FAF), which is considered the gold standard for the evaluation of progression of atrophy enlargement [102,103,104].
Recently, several studies conducted using OCTA showed that the atrophic patches present a loss of choriocapillaris flow and an improved visualization of choroidal vessels [105]. In particular, GA appears with loss or rarefaction of CC at the level of RPE atrophy [105,106]. In these areas of CC impairment, large choroidal vessels may be displaced and may be seen on the en face OCTA image at the depth level where CC is ordinarily seen [105]. Corbelli et al. demonstrated that OCTA is an effective technique for the visualization and quantification of GA lesions [107]. Evaluating 47 eyes affected by GA, they showed that OCTA can quantify the area of atrophy as FAF and en face OCT [107].
Another advantage of OCTA is the ability to evaluate the CC status of eyes with GA. Sacconi et al. firstly reported a quantitative CC impairment surrounding the GA margin before RPE alterations observed using FAF, assuming a “primum movens” at the level of the CC [37]. Moreover, the same group and others showed a greater CC impairment in the area that subsequently developed GA expansion, suggesting that the impairment of CC flow could predict the enlargement of the atrophic lesion [24,108,109]. For this reason, OCTA showed that the CC impairment could be considered as a new a risk factor for GA progression and a biomarker to be measured to determine the efficacy of new interventions aiming to slow the progression of GA.
Finally, OCTA results useful in the evaluation of patients affected by GA in order to exclude the presence of treatment-naïve nonexudative MNV. Capuano et al. firstly reported the presence of nonexudative MNV in patients affected by GA, showing outcomes and follow-up of 19 eyes [110]. In detail, the authors reported a rate of activation of 26% during a follow-up of 45.7 ± 14.7 months. In this way, OCTA play an important role in the diagnosis and follow-up of patients affected by nonexudative MNV and GA.
In conclusion, the benefits of using OCTA compared with other imaging approaches for GA include the convenience of using only one type imaging technique for showing en face flow images and structural OCT data, the quantification of GA area, and the potential ability to exclude the presence of MNV without performing fluorescein angiography, particularly in treatment-naïve nonexudative type 1 MNV.

10. OCTA in Nonexudative MNV in AMD

Previous studies have demonstrated that MNV can present without clinical sign of exudation. In the 1970s, histopathological studies pointed out the presence of what is now known as type 1 MNV in patients without any hemorrhage or exudation [111,112]; later, Chang et al. reported that ICGA was able to detect subclinical MNV not viewable with FA, by the presence of hyperfluorescent plaque with late staining, in the fellow eyes harboring soft drusen [113]. Querques et al. detected on FA and ICGA type 1 MNV that had not developed intraretinal or subretinal exudation visualizable on OCT for at least 6 months, and they called this form treatment-naïve quiescent neovascularization [10]. In 2016, Roisman et al. observed in patients with previously diagnosed neovascular AMD in one eye and asymptomatic iAMD in the contralateral eye the presence on ICGA of MNV without exudation and subsequently confirmed by OCTA [12].
Nonexudative MNV can be found both in iAMD and GA [12,13,14,30,114]. Nonexudative MNVs were described also in other retinal diseases such as pachychoroid, large colloid drusens, and angioid streaks [115,116,117]. Carnevali et al. determined that OCTA has a good sensitivity and specificity for nonexudative MNV detection in eyes with iAMD, thus representing a valid diagnostic tool [114]. Several studies compared the ability of detecting MNV of SD-OCTA and SS-OCTA demonstrated that SS-OCTA provides better image quality and a more accurate representation of MNV than SD-OCTA [30,31].
In iAMD, nonexudative MNVs usually present on OCTA as irregular, without visible-core, with a well-defined margin and foveal-sparing vessel networks, even if sometimes, they do not present a detectable core vessel, and it was hypothesized that this could represent a protective factor against increased activity [113] (Figure 4).
They are usually located in the subfoveal/perifoveal area [114]. As mentioned above, Capuano et al. described nonexudative MNV in GA using OCTA, and this MNV showed different characteristics from those in iAMD [110]. OCTA in GA has a lower detection rate than in iAMD, which is probably because small MNV are more difficult to differentiate from choroid due to the low contrast between MNV and choroidal vessels in the absence of RPE and CC or due to their slow flow [110]. Nonexudative MNVs in GA show irregular-shaped high flow with well-defined margin networks without a visible core, and they present vessel arteriolization with few or without visible fine capillaries; they are usually found bordering the atrophic area [110].
The prevalence of nonexudative MNV was evaluated with OCTA by different groups, particularly in the contralateral eyes of patients with unilateral exudative AMD [13,14,15]. De Oliveira Dias et al. [13] and Yang et al. [14] reported a prevalence of 14.4% and 13.2% respectively at baseline of eyes with iAMD and GA, while Bailey et al. [15] found a prevalence of 7.9%. Capuano et al. analyzed 644 eyes from 399 consecutive patients with unilateral or bilateral GA secondary to AMD and identified 73 eyes from 71 patients (11%) with nonexudative MNV [110].
De Oliveira Dias et al. and Yang et al. found a cumulative incidence of exudation of 24% after 1 year and of 34.5% after 2 years of follow-up in eyes with iAMD [13,14], whereas Heiferman et al. described an incidence of exudation of 20% after 15 months of follow up in patients with active neovascular AMD in the contralateral eye [116]. Different results were obtained by Bailey et al., who found an incidence of exudation of 80% at 2 years [15]. These differences could be explained by several factors including different populations, the number of patients evaluated, and the duration of AMD. Carnevali et al. [11] and Capuano et al. [110] reported the rate of activation, following the criteria for diagnosis of quiescent CNVs, respectively of 6.6% in patients with iAMD at 1 year of follow-up and of 26.3% in eyes with GA within a mean of 20 months of follow-up.
OCTA may be useful to predict exudation; in fact, there was a reported increase in the size and area of the vascular network of nonexudative MNVs that later developed signs of activity [11,15,109,118,119]. Capuano et al. also described a morphologic change such as the sprouting of new vascular loops and tiny capillaries before exudation [110]. It was not found a significant difference between the area of the CC nonperfusion in eyes with exudative MNV and nonexudative MNV [120,121].
In conclusion, OCTA is a valid diagnostic tool for the identification of nonexudative MNVs in eyes with iAMD or GA for the evaluation of signs of exudation; it can be also used to predict a possible activation of nonexudative MNV to guide the time of follow-up and treatment.

11. Conclusions and Future Perspectives

In recent years, OCTA has become indispensable in clinical practice for both the diagnosis and follow-up of AMD as well as to evaluate the response to treatment with anti-VEGF agents. OCTA is a quick and non-invasive diagnostic tool that does not require the use of a contrast agent. It helps to identify early signs of AMD; it shows a good level of sensitivity and accuracy in the diagnosis of late stage of AMD; it also provides the correct characterization of subtypes of MNV, improving the detection rate and offering new insights into the pathophysiology and progression of these lesions.
OCTA provides some biomarkers as predictors of functional and anatomical outcomes improving patient management and therapy. Moreover, OCTA has several advantages, including a non-invasive and rapid acquisition of angiograms, depth resolution, and perfect microvascular resolution. On the contrary, the main limitation of current OCTA devices are image artifacts; however, OCTA technology is evolving in order to improve image quality, acquisition time, and automatic interpretation of scans, allowing for improved diagnosis and understanding of AMD [122].
Visualization of the choroid and choriocapillaris may be affected by the loss of flow signal with depth in short-wavelength OCTA devices, but this limitation may be addressed in the near future by new-generation of OCTA devices. In particular, artifacts of masking and unmasking are very common in patients with AMD. These regions are lined with areas of PEDs or large retinal vessels anterior to the choroid on B scans. The creation of artifacts due to PEDs are accompanied by focal unmasking artifacts due to RPE atrophy. In the region immediately below RPE atrophy, there is an increase in OCT reflectivity throughout the choroid. This is also accompanied by an augmented artifacts decorrelation signal in the underlying sub-levels.
Despite these disadvantages, OCTA is a promising imaging modality that may provide various precious information in patients with AMD, and it may help in correlating functional parameters. Moreover, OCTA might provide deeper knowledge in the pathophysiology of human choroid AMD and possibly allow predicting the natural history of the disease and choosing the best therapeutic approach. In particular, non-invasive in vivo identification of the histopathologic substrate and understanding of biogenesis of first signs of the disease will open the door to further therapeutic targets.

Author Contributions

A.C. (Adriano Carnevali): project administration, methodology, resources, writing—original draft preparation, writing—review and editing, supervision, visualization, data curation, formal analysis, R.M. and G.G.: project administration, methodology, formal analysis, investigation, writing—original draft preparation, writing—review and editing, supervision, visualization, V.G., S.V., A.M., R.D., M.L., A.C. (Alessio Cerquaglia), R.S., E.B., C.I., L.V., M.D.T., A.V., F.B., M.P., A.D.Z. and M.F.: writing—original draft preparation, writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This review received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Coleman, H.R.; Chan, C.C.; Ferris, F.L., III; Chew, E.Y. Age-related macular degeneration. Lancet 2008, 372, 1835–1845. [Google Scholar] [CrossRef]
  2. Lim, L.S.; Mitchell, P.; Seddon, J.M.; Holz, F.G.; Wong, T.Y. Age-related macular degeneration. Lancet 2012, 379, 1728–1738. [Google Scholar] [CrossRef]
  3. Bourne, R.R.; Stevens, G.A.; White, R.A.; Smith, J.L.; Flaxman, S.R.; Price, H.; Jonas, J.B.; Keeffe, J.; Leasher, J.; Naidoo, K.; et al. Causes of vision loss worldwide, 1990–2010: A systematic analysis. Lancet Glob. Health 2013, 1, 339–349. [Google Scholar] [CrossRef] [Green Version]
  4. Wong, W.L.; Su, X.; Li, X.; Cheung, C.M.; Klein, R.; Cheng, C.Y.; Wong, T.Y. Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: A systematic review and meta-analysis. Lancet Glob. Health 2014, 2, e106–e116. [Google Scholar] [CrossRef] [Green Version]
  5. Spaide, R.F.; Klancnik, J.M.; Cooney, M.J. Retinal vascular layers imaged by fluorescein angiography and optical coherence tomography angiography. JAMA Ophthalmol. 2015, 133, 45–50. [Google Scholar] [CrossRef]
  6. Coscas, F.; Lupidi, M.; Boulet, J.F.; Sellam, A.; Cabral, D.; Serra, R.; Français, C.; Souied, E.H.; Coscas, G. Optical coherence tomography angiography in exudative age-related macular degeneration: A predictive model for treatment decisions. Br. J. Ophthalmol 2019, 103, 1342–1346. [Google Scholar] [CrossRef]
  7. Ferris, F.L., III; Wilkinson, C.P.; Bird, A.; Chakravarthy, U.; Chew, E.; Csaky, K.; Sadda, S.R. Clinical classification of age-related macular degeneration. Ophthalmology 2013, 120, 844–851. [Google Scholar] [CrossRef]
  8. Freund, K.B.; Zweifel, S.A.; Engelbert, M. Do we need a new classification for choroidal neovascularization in age-related macular degeneration? Retina 2010, 30, 1333–1349. [Google Scholar] [CrossRef]
  9. Spaide, R.F.; Jaffe, G.J.; Sarraf, D.; Freund, K.B.; Sadda, S.R.; Staurenghi, G.; Waheed, N.K.; Chakravarthy, U.; Rosenfeld, P.J.; Holz, F.G.; et al. Consensus Nomenclature for Reporting Neovascular Age-Related Macular Degeneration Data: Consensus on Neovascular Age-Related Macular Degeneration Nomenclature Study Group. Ophthalmology 2020, 127, 616–636. [Google Scholar] [CrossRef]
  10. Querques, G.; Srour, M.; Massamba, N.; Georges, A.; Ben Moussa, N.; Rafaeli, O.; Souied, E.H. Functional characterization and multimodal imaging of treatment-naive “quiescent” choroidal neovascularization. Investig. Ophthalmol. Vis. Sci. 2013, 54, 6886–6892. [Google Scholar] [CrossRef] [Green Version]
  11. Carnevali, A.; Sacconi, R.; Querques, L.; Marchese, A.; Capuano, V.; Rabiolo, A.; Corbelli, E.; Panozzo, G.; Miere, A.; Souied, E.; et al. Natural History of Treatment-Naïve Quiescent Choroidal Neovascularization in Age-Related Macular Degeneration Using OCT Angiography. Ophthalmol. Retin. 2018, 2, 922–930. [Google Scholar] [CrossRef] [PubMed]
  12. Roisman, L.; Zhang, Q.; Wang, R.K.; Gregori, G.; Zhang, A.; Chen, C.L.; Durbin, M.K.; An, L.; Stetson, P.F.; Robbins, G.; et al. Optical Coherence Tomography Angiography of Asymptomatic Neovascularization in Intermediate Age-Related Macular Degeneration. Ophthalmology 2016, 123, 1309–1319. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. De Oliveira Dias, J.R.; Zhang, Q.; Garcia, J.M.B.; Zheng, F.; Motulsky, E.H.; Roisman, L.; Miller, A.; Chen, C.L.; Kubach, S.; de Sisternes, L.; et al. Natural History of Subclinical Neovascularization in Nonexudative Age-Related Macular Degeneration Using Swept-Source OCT Angiography. Ophthalmology 2018, 125, 255–266. [Google Scholar] [CrossRef] [PubMed]
  14. Yang, J.; Zhang, Q.; Motulsky, E.H.; Thulliez, M.; Shi, Y.; Lyu, C.; de Sisterners, L.; Durbin, M.K.; Feuer, W.; Wang, R.K.; et al. Two-year risk of exudation in eyes with non-exudative AMD and subclinical neovascularization detected with swept source OCT angiography. Am. J. Ophthalmol. 2019, 208, 1–11. [Google Scholar] [CrossRef] [PubMed]
  15. Bailey, S.T.; Thaware, O.; Wang, J.; Hagag, A.M.; Zhang, X.; Flaxel, C.J.; Lauer, A.K.; Hwang, T.S.; Lin, P.; Huang, D.; et al. Detection of Nonexudative Choroidal Neovascularization and Progression to Exudative Choroidal Neovascularization Using OCT Angiography. Ophthalmol. Retin. 2019, 3, 629–636. [Google Scholar] [CrossRef] [PubMed]
  16. Roisman, L.; Goldhardt, R. OCT Angiography: An Upcoming Non-invasive Tool for Diagnosis of Age-related Macular Degeneration. Curr. Ophthalmol. Rep. 2017, 5, 136–140. [Google Scholar] [CrossRef]
  17. Markan, A.; Agarwal, A.; Arora, A.; Bazgain, K.; Rana, V.; Gupta, V. Novel imaging biomarkers in diabetic retinopathy and diabetic macular edema. Ther. Adv. Ophthalmol. 2020, 12, 2515841420950513. [Google Scholar] [CrossRef]
  18. Farazdaghi, M.K.; Ebrahimi, K.B. Role of the Choroid in Age-related Macular Degeneration: A Current Review. J. Ophthalmic Vis. Res. 2019, 14, 78–87. [Google Scholar]
  19. Regatieri, C.V.; Branchini, L.; Duker, J.S. The role of spectral-domain OCT in the diagnosis and management of neovascular age-related macular degeneration. Ophthalmic Surg. Lasers Imaging Retina 2011, 42, S56–S66. [Google Scholar] [CrossRef] [Green Version]
  20. Balaratnasingam, C.; Messinger, J.D.; Sloan, K.R.; Yannuzzi, L.A.; Freund, K.B.; Curcio, C.A. Histologic and optical coherence tomographic correlates in drusenoid pigment epithelium detachment in age-related macular degeneration. Ophthalmology 2017, 124, 644–656. [Google Scholar] [CrossRef]
  21. Enders, C.; Lang, G.E.; Dreyhaupt, J.; Loidl, M.; Lang, G.K.; Werner, J.U. Quantity and quality of image artifacts in optical coherence tomography angiography. PLoS ONE 2019, 14, e0210505. [Google Scholar] [CrossRef] [PubMed]
  22. Bonfiglio, V.; Ortisi, E.; Scollo, D.; Reibaldi, M.; Russo, A.; Pizzo, A.; Faro, G.; Macchi, I.; Fallico, M.; Toro, M.D.; et al. Vascular changes after vitrectomy for rhegmatogenous retinal detachment: Optical coherence tomography angiography study. Acta Ophthalmol. 2019, 98, e563–e569. [Google Scholar] [CrossRef] [PubMed]
  23. Kashani, A.H.; Chen, C.L.; Gahm, J.K.; Zheng, F.; Richter, G.M.; Rosenfeld, P.J.; Shi, Y.; Wang, R.K. Optical coherence tomography angiography: A comprehensive review of current methods and clinical applications. Prog. Retin. Eye Res. 2017, 60, 66–100. [Google Scholar] [CrossRef] [PubMed]
  24. Sacconi, R.; Corbelli, E.; Borrelli, E.; Capone, L.; Carnevali, A.; Gelormini, F.; Querques, L.; Bandello, F.; Querques, G. Choriocapillaris flow impairment could predict the enlargement of geographic atrophy lesion. Br. J. Ophthalmol. 2020. Epub ahead of print. [Google Scholar] [CrossRef]
  25. Borrelli, E.; Sarraf, D.; Freund, K.B.; Sadda, S.R. OCT angiography and evaluation of the choroid and choroidal vascular disorders. Prog. Retin. Eye Res. 2018, 67, 30–55. [Google Scholar] [CrossRef]
  26. Spaide, R.F.; Fujimoto, J.G.; Waheed, N.K. Image Artifacts in Optical Coherence Tomography Angiography. Retina 2015, 35, 2163–2180. [Google Scholar] [CrossRef]
  27. Wang, R.K.; An, L.; Francis, P.; Wilson, D.J. Depth-resolved imaging of capillary networks in retina and choroid using ultrahigh sensitive optical microangiography. Opt. Lett. 2010, 35, 1467–1469. [Google Scholar] [CrossRef] [Green Version]
  28. Jia, Y.; Tan, O.; Tokayer, J.; Potsaid, B.; Wang, Y.; Liu, J.J.; Kraus, M.F.; Subhash, H.; Fujimoto, J.G.; Hornegger, J.; et al. Split-spectrum amplitude-decorrelation angiography with optical coherence tomography. Opt. Express 2012, 20, 4710–4725. [Google Scholar] [CrossRef] [Green Version]
  29. Lane, M.; Moult, E.M.; Novais, E.A.; Louzada, R.N.; Cole, E.D.; Lee, B.; Husvogt, L.; Keane, P.A.; Denniston, A.K.; Witkin, A.J.; et al. Visualizing the Choriocapillaris Under Drusen: Comparing 1050-nm Swept-Source Versus 840-nm Spectral-Domain Optical Coherence Tomography Angiography. Investig. Ophthalmol. Vis. Sci. 2016, 57, OCT585-90. [Google Scholar] [CrossRef]
  30. Novais, E.A.; Adhi, M.; Moult, E.M.; Louzada, R.N.; Cole, E.D.; Husvogt, L.; Lee, B.; Dang, S.; Regatieri, C.V.; Witkin, A.J.; et al. Choroidal Neovascularization Analyzed on Ultrahigh-Speed Swept-Source Optical Coherence Tomography Angiography Compared to Spectral-Domain Optical Coherence Tomography Angiography. Am. J. Ophthalmol. 2016, 164, 80–88. [Google Scholar] [CrossRef] [Green Version]
  31. Miller, A.R.; Roisman, L.; Zhang, Q.; Zheng, F.; Rafael de Oliveira Dias, J.; Yehoshua, Z.; Schaal, K.B.; Feuer, W.; Gregori, G.; Chu, Z.; et al. Comparison Between Spectral-Domain and Swept-Source Optical Coherence Tomography Angiographic Imaging of Choroidal Neovascularization. Investig. Ophthalmol. Vis. Sci. 2017, 58, 1499–1505. [Google Scholar] [CrossRef] [PubMed]
  32. Hilely, A.; Au, A.; Freund, K.B.; Loewenstein, A.; Soudied, E.H.; Zur, D.; Sacconi, R.; Borrelli, E.; Peiretti, E.; Iovino, C.; et al. Non-neovascular age-related macular degeneration with subretinal fluid. Br. J. Ophthalmol. 2020. Epub ahead of print. [Google Scholar] [CrossRef] [PubMed]
  33. Klein, R.; Myers, C.E.; Cruickshanks, K.J.; Gangnon, R.E.; Danforth, L.G.; Sivakumaran, T.A.; Iyengar, S.K.; Tsai, M.Y.; Klein, B.E. Markers of Inflammation, Oxidative Stress, and Endothelial Dysfunction and the 20-Year Cumulative Incidence of Early Age-Related Macular Degeneration. JAMA Ophthalmol. 2014, 132, 446–455. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Saksens, N.T.M.; Geerlings, M.J.; Bakker, B.; Schick, T.; Daha, M.R.; Fauser, S.; Boon, C.J.; de Jong, E.K.; Hoyng, C.B.; den Hollander, A.I. Rare Genetic Variants Associated with Development of Age-Related Macular Degeneration. JAMA Ophthalmol. 2016, 134, 287–293. [Google Scholar] [CrossRef] [PubMed]
  35. Zarbin, M.A.; Rosenfeld, P.J. Pathway-based therapies for age-related macular degeneration: An integrated survey of emerging treatment alternatives. Retina 2010, 30, 1350–1367. [Google Scholar] [CrossRef] [PubMed]
  36. Querques, G.; Rosenfeld, P.J.; Cavallero, E.; Borrelli, E.; Corvi, F.; Querques, L.; Bandello, F.M.; Zarbin, M.A. Treatment of dry age-related macular degeneration. Ophthalmic Res. 2014, 52, 107–115. [Google Scholar] [CrossRef] [PubMed]
  37. Sacconi, R.; Corbelli, E.; Carnevali, A.; Querques, L.; Bandello, F.; Querques, G. Optical coherence tomography angiography in geographic atrophy. Retina 2018, 38, 2350–2355. [Google Scholar] [CrossRef]
  38. Bhutto, I.; Lutty, G. Understanding age-related macular degeneration (AMD): Relationships between the photoreceptor/retinal pigment epithelium/Bruch’s membrane/choriocapillaris complex. Mol. Asp. Med. 2012, 33, 295–317. [Google Scholar] [CrossRef] [Green Version]
  39. Campochiaro, P.A. Molecular pathogenesis of retinal and choroidal vascular diseases. Prog. Retin. Eye Res. 2015, 49, 67–81. [Google Scholar] [CrossRef] [Green Version]
  40. Saint-Geniez, M.; Kurihara, T.; Sekiyama, E.; Maldonado, A.E.; D’Amore, P.A. An essential role for RPE-derived soluble VEGF in the maintenance of the choriocapillaris. Proc. Natl. Acad. Sci. USA 2009, 106, 18751–18756. [Google Scholar] [CrossRef] [Green Version]
  41. Seddon, J.M.; McLeod, D.S.; Bhutto, I.A.; Villalonga, M.B.; Silver, R.E.; Wenick, A.S.; Edwards, M.M.; Lutty, G.A. Histopathological Insights Into Choroidal Vascular Loss in Clinically Documented Cases of Age-Related Macular Degeneration. JAMA Ophthalmol. 2016, 134, 1272–1280. [Google Scholar] [CrossRef] [PubMed]
  42. Roberts, K.F.; Artes, P.H.; O’Leary, N.; Reis, A.S.; Sharpe, G.P.; Hutchison, D.M.; Chauhan, B.C.; Nicolela, M.T. Peripapillary choroidal thickness in healthy controls and patients with focal, diffuse, and sclerotic glaucomatous optic disc damage. Arch. Ophthalmol. 2012, 130, 980–986. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Mullins, R.F.; Schoo, D.P.; Sohn, E.H.; Flamme-Wiese, M.J.; Workamelahu, G.; Johnston, R.M.; Wang, K.; Tucker, B.A.; Stone, E.M. The membrane attack complex in aging human choriocapillaris: Relationship to macular degeneration and choroidal thinning. Am. J. Pathol. 2014, 184, 3142–3153. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Borrelli, E.; Abdelfattah, N.; Uji, A.; Nittala, M.; Boyer, D.S.; Sadda, S.R. Postreceptor Neuronal Loss in Intermediate Age-related Macular Degeneration. Am. J. Ophthalmol. 2017, 181, 1–11. [Google Scholar] [CrossRef] [PubMed]
  45. Borrelli, E.; Uji, A.; Sarraf, D.; Sadda, S.R. Alterations in the choriocapillaris in intermediate age-related macular degeneration. Investig. Opthalmol. Vis. Sci. 2017, 11, 4792–4798. [Google Scholar] [CrossRef] [Green Version]
  46. Borrelli, E.; Shi, Y.; Uji, A.; Balasubramanian, S.; Nassisi, M.; Sarraf, D.; Sadda, S.R. Topographical Analysis of the Choriocapillaris in Intermediate Age-related Macular Degeneration. Am. J. Ophthalmol. 2018, 196, 34–43. [Google Scholar] [CrossRef] [PubMed]
  47. Borrelli, E.; Souied, E.H.; Freund, K.B.; Querques, G.; Miere, A.; Gal-Or, O.; Sacconi, R.; Sadda, S.R.; Sarraf, D. Reduced Choriocapillaris Flow in eyes with type 3 neovascularization due to age-related macular degeneration. Retina 2018, 38, 1968–1976. [Google Scholar] [CrossRef]
  48. Vujosevic, S.; Toma, C.; Villani, E.; Muraca, A.; Torti, E.; Florimbi, G.; Pezzotti, M.; Nucci, P.; De Cillà, S. Quantitative choriocapillaris evaluation in intermediate age-related macular degeneration by swept-source optical coherence tomography angiography. Acta Ophthalmol. 2019, 97, e919–e926. [Google Scholar] [CrossRef]
  49. Borrelli, E.; Mastropasqua, R.; Senatore, A.; Palmieri, M.; Toto, L.; Sadda, S.R.; Mastropasqua, L. Impact of choriocapillaris flow on multifocal electroretinography in intermediate age-related macular degeneration eyes. Investig. Ophthalmol. Vis. Sci. 2018, 59, AMD25–AMD30. [Google Scholar] [CrossRef] [Green Version]
  50. Nassisi, M.; Tepelus, T.; Corradetti, G.; Sadda, S.R. Relationship between choriocapillaris flow and scotopic microperimetry in early and intermediate age related macular degeneration. Am. J. Ophthalmol. 2020, 28, 302–309. [Google Scholar]
  51. Toto, L.; Borrelli, E.; Di Antonio, L.; Carpineto, P.; Mastropasqua, R. Retinal vascular plexuses’ changes in dry age-related macular degeneration, evaluated by means of optical coherence tomography angiography. Retina 2016, 36, 1566–1572. [Google Scholar] [CrossRef] [PubMed]
  52. Toto, L.; Borrelli, E.; Mastropasqua, R.; Di Antonio, L.; Doronzo, E.; Carpineto, P.; Mastropasqua, L. Association between outer retinal alterations and microvascular changes in intermediate stage age-related macular degeneration: An optical coherence tomography angiography study. Br. J. Ophthalmol. 2017, 101, 774–779. [Google Scholar] [CrossRef] [PubMed]
  53. Jung, J.J.; Chen, C.Y.; Mrejen, S.; Gallego-Pinazo, R.; Xu, L.; Marsiglia, M.; Boddu, S.; Freund, K.B. The incidence of neovascular subtypes in newly diagnosed neovascular age-related macular degeneration. Am. J. Ophthalmol. 2014, 158, 769–779. [Google Scholar] [CrossRef] [PubMed]
  54. Schmidt-Erfurth, U.; Chong, V.; Loewenstein, A.; Larsen, M.; Souied, E.; Schlingemann, R.; Eldem, B.; Monés, J.; Richard, G.; Bandello, F. Guidelines for the management of neovascular age-related macular degeneration by the European Society of Retina Specialists (EURETINA). Br. J. Ophthalmol. 2014, 98, 1144–1167. [Google Scholar] [CrossRef] [PubMed]
  55. Shi, Y.; Motulsky, E.H.; Goldhardt, R.; Zohar, Y.; Thulliez, M.; Feuer, W.; Gregori, G.; Rosenfeld, P.J. Predictive Value of the OCT Double-Layer Sign for Identifying Subclinical Neovascularization in Age-Related Macular Degeneration. Ophthalmol. Retin. 2019, 3, 211–219. [Google Scholar] [CrossRef]
  56. Arrigo, A.; Romano, F.; Aragona, E.; Di Nunzio, C.; Battista, M.; Bandello, F.; Battaglia Parodi, M. Optical Coherence Tomography Angiography Can Categorize Different Subgroups of Choroidal Neovascularization Secondary to Age-Related Macular Degeneration. Retina 2020, 40, 2263–2269. [Google Scholar] [CrossRef]
  57. Arrigo, A.; Aragona, E.; Di Nunzio, C.; Bandello, F.; Parodi, M.B. Quantitative Optical Coherence Tomography Angiography Parameters in Type 1 Macular Neovascularization Secondary to Age-Related Macular Degeneration. Transl. Vis. Sci. Technol. 2020, 9, 48. [Google Scholar] [CrossRef]
  58. Farecki, M.L.; Gutfleisch, M.; Faatz, H.; Rothaus, K.; Heimes, B.; Spital, G.; Lommatzsch, A.; Pauleikhoff, D. Characteristics of type 1 and 2 CNV in exudative AMD in OCT-Angiography. Graefes Arch. Clin. Exp. Ophthalmol. 2017, 255, 913–921. [Google Scholar] [CrossRef]
  59. Pilotto, E.; Frizziero, L.; Daniele, A.R.; Convento, E.; Longhin, E.; Guidolin, F.; Parrozzani, R.; Cavarzeran, F.; Midena, E. Early OCT angiography changes of type 1 CNV in exudative AMD treated with anti-VEGF. Br. J. Ophthalmol. 2019, 103, 67–71. [Google Scholar] [CrossRef]
  60. Spaide, R.F. Optical coherence tomography angiography signs of vascular abnormalization with antiangiogenic therapy for choroidal neovascularization. Am. J. Ophthalmol. 2015, 160, 6–16. [Google Scholar] [CrossRef]
  61. Tilton, R.G.; Chang, K.C.; LeJeune, W.S.; Stephan, C.C.; Brock, T.A.; Williamson, J.R. Role for nitric oxide in the hyperpermeability and hemodynamic changes induced by intravenous VEGF. Investig. Ophthalmol. Vis. Sci. 1999, 40, 689–696. [Google Scholar]
  62. Jia, Y.; Bailey, S.T.; Wilson, D.J.; Tan, O.; Klein, M.L.; Flaxel, C.J.; Potsaid, B.; Liu, J.J.; Lu, C.D.; Kraus, M.F.; et al. Quantitative optical coherence tomography angiography of choroidal neovascularization in age-related macular degeneration. Ophthalmology 2014, 121, 1435–1444. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Liu, L.; Gao, S.S.; Bailey, S.T.; Huang, D.; Li, D.; Jia, Y. Automated choroidal neovascularization detection algorithm for optical coherence tomography angiography. Biomed. Opt. Express 2015, 6, 3564–3576. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Zhang, A.; Zhang, Q.; Wang, R.K. Minimizing projection artifacts for accurate presentation of choroidal neovascularization in OCT micro-angiography. Biomed. Opt. Express 2015, 6, 4130–4143. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Zhang, M.; Hwang, T.S.; Campbell, J.P.; Bailey, S.T.; Wilson, D.J.; Huang, D.; Jia, Y. Projection-resolved optical coherence tomographic angiography. Biomed. Opt. Express 2016, 7, 816–828. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Wang, J.; Zhang, M.; Hwang, T.S.; Bailey, S.T.; Huang, D.; Wilson, D.J.; Jia, Y. Reflectance-based projection-resolved optical coherence tomography angiography. Biomed. Opt. Express 2017, 8, 1536–1548. [Google Scholar] [CrossRef] [PubMed]
  67. Patel, R.; Wang, J.; Campbell, J.P.; Kiang, L.; Lauer, A.; Flaxel, C.; Hwang, T.; Lujan, B.; Huang, D.; Bailey, S.T.; et al. Classification of Choroidal Neovascularization Using Projection-Resolved Optical Coherence Tomographic Angiography. Investig. Ophthalmol. Vis. Sci. 2018, 59, 4285–4291. [Google Scholar] [CrossRef] [Green Version]
  68. Willoughby, A.S.; Ying, G.S.; Toth, C.A.; Maguire, M.G.; Burns, R.E.; Grunwald, J.E.; Daniel, E.; Jaffe, G.J. Comparison of Age-related Macular Degeneration Treatments Trials Research Group. Subretinal hyperreflective material in the comparison of age-related macular degeneration treatments trials. Ophthalmology 2015, 122, 1846–1853. [Google Scholar] [CrossRef] [Green Version]
  69. Ristau, T.; Keane, P.A.; Walsh, A.C.; Engin, A.; Mokwa, N.; Kirchhof, B.; Sadda, S.R.; Liakopoulos, S. Relationship between visual acuity and spectral domain optical coherence tomography retinal parameters in neovascular age-related macular degeneration. Ophthalmologica 2014, 231, 37–44. [Google Scholar] [CrossRef]
  70. Keane, P.A.; Liakopoulos, S.; Chang, K.T.; Wang, M.; Dustin, L.; Walsh, A.C.; Sadda, S.R. Relationship between optical coherence tomography retinal parameters and visual acuity in neovascular age-related macular degeneration. Ophthalmology 2008, 115, 2206–2214. [Google Scholar] [CrossRef] [Green Version]
  71. Maruyama-Inoue, M.; Sato, S.; Yamane, S.; Kadonosono, K. Variable response of subretinal hyperreflective material to anti vascular endothelial growth factor classified with optical coherence tomography angiography. Graefes Arch. Clin. Exp. Ophthalmol. 2018, 256, 2089–2096. [Google Scholar] [CrossRef] [PubMed]
  72. Kuehlewein, L.; Sadda, S.R.; Sarraf, D. OCT angiography and sequential quantitative analysis of type 2 neovascularization after ranibizumab therapy. Eye 2015, 29, 932–935. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. El Ameen, A.; Cohen, S.Y.; Semoun, O.; Miere, A.; Srour, M.; Quaranta-El Maftouhi, M.; Oubraham, H.; Blanco-Garavito, R.; Querques, G.; Souied, E.H. Type 2 neovascularization secondary to age-related macular degeneration imaged by optical coherence tomography angiography. Retina 2015, 35, 2212–2218. [Google Scholar] [CrossRef] [PubMed]
  74. Coscas, G.; Lupidi, M.; Coscas, F.; Français, C.; Cagini, C.; Souied, E.H. Optical coherence tomography angiography during follow-up: Qualitative and quantitative analysis of mixed type I and II choroidal neovascularization after vascular endothelial growth factor trap therapy. Ophthalmic Res. 2015, 54, 57–63. [Google Scholar] [CrossRef]
  75. Dolz-Marco, R.; Phasukkijwatana, N.; Sarraf, D.; Freund, K.B. Regression of type 2 neovascularization into a type 1 pattern after intravitreal anti-vascular endothelial growth factor therapy for neovascular age-related macular degeneration. Retina 2017, 37, 222–233. [Google Scholar] [CrossRef]
  76. Balaskas, K.; Ali, Z.C.; Saddik, T.; Gemenetzi, M.; Patel, P.; Aslam, T.M. Swept-source optical coherence tomography angiography features of subretinal fibrosis in neovascular age-related macular degeneration. Clin. Exp. Ophthalmol. 2019, 47, 233–239. [Google Scholar] [CrossRef]
  77. Zhao, Z.; Yang, F.; Gong, Y.; Yu, S.; Liu, H.; Wang, H.; Wang, F.; Sun, X. The Comparison of Morphologic Characteristics of Type 1 and Type 2 Choroidal Neovascularization in Eyes with Neovascular Age-Related Macular Degeneration using Optical Coherence Tomography Angiography. Ophthalmologica 2019, 242, 178–186. [Google Scholar] [CrossRef]
  78. Muakkassa, N.W.; Chin, A.T.; de Carlo, T.; Klein, K.A.; Baumal, C.R.; Witkin, A.J.; Duker, J.S.; Waheed, N.K. Characterizing the effect of anti-vascular endothelial growth factor therapy on treatment-naive choroidal neovascularization using optical coherence tomography angiography. Retina 2015, 35, 2252–2259. [Google Scholar] [CrossRef]
  79. Freund, K.B.; Ho, I.V.; Barbazetto, I.A.; Koizumi, H.; Laud, K.; Ferrara, D.; Matsumoto, Y.; Sorenson, J.A.; Yannuzzi, L. Type 3 neovascularization: The expanded spectrum of retinal angiomatous proliferation. Retina 2008, 28, 201–211. [Google Scholar] [CrossRef]
  80. Miere, A.; Querques, G.; Semoun, O.; El Ameen, A.; Capuano, V.; Souied, E.H. Optical coherence tomography angiography in early type 3 neovascularization. Retina 2015, 35, 2236–2241. [Google Scholar] [CrossRef]
  81. Su, D.; Lin, S.; Phasukkijwatana, N.; Chen, X.; Tan, A.; Freund, K.B.; Sarraf, D. An updated staging system of type 3 neovascularization using spectral domain optical coherence tomography. Retina 2016, 36 (Suppl. 1), S40–S49. [Google Scholar] [CrossRef]
  82. Querques, G.; Souied, E.H.; Freund, K.B. How has high-resolution multimodal imaging refined our understanding of the vasogenic process in type 3 neovascularization? Retina 2015, 35, 603–613. [Google Scholar] [CrossRef]
  83. Hormel, T.T.; Jia, Y.; Jian, Y.; Hwang, T.S.; Bailey, S.T.; Pennesi, M.E.; Wilson, D.J.; Morrison, J.C.; Huang, D. Plexus-specific retinal vascular anatomy and pathologies as seen by projection-resolved optical coherence tomographic angiography. Prog. Retin. Eye Res. 2020. Epub ahead of print. [Google Scholar] [CrossRef]
  84. Querques, G.; Miere, A.; Souied, E.H. Optical Coherence Tomography Angiography Features of Type 3 Neovascularization in Age-Related Macular Degeneration. Dev. Ophthalmol. 2016, 56, 57–61. [Google Scholar]
  85. Bacci, T.; Freund, K.B. High-Resolution OCT Angiography Features of an Early Type 3 Neovascularization. Ophthalmology 2020, 127, 887. [Google Scholar] [CrossRef]
  86. Dansingani, K.K.; Naysan, J.; Freund, K.B. En face OCT angiography demonstrates flow in early type 3 neovascularization (retinal angiomatous proliferation). Eye 2015, 29, 703–706. [Google Scholar] [CrossRef]
  87. Sacconi, R.; Sarraf, D.; Garrity, S.; Freund, K.B.; Yannuzzi, L.A.; Gal-Or, O.; Souied, E.; Sieiro, A.; Corbelli, E.; Carnevali, A.; et al. Nascent Type 3 Neovascularization in Age-Related Macular Degeneration. Ophthalmol. Retina 2018, 2, 1097–1106. [Google Scholar] [CrossRef]
  88. Bansal, R.; Hemanth, V.; Mulkutkar, S.; Singh, R.; Gupta, V.; Dogra, M.R.; Gupta, A. OCT angiography demonstrates retinal angiomatous proliferation and chorioretinal anastomosis of type 3 neovascularization. Int. Ophthalmol. 2018, 38, 2149–2151. [Google Scholar] [CrossRef]
  89. Bhavsar, K.V.; Jia, Y.; Wang, J.; Patel, R.C.; Lauer, A.K.; Huang, D.; Bailey, S.T. Projection-resolved optical coherence tomography angiography exhibiting early flow prior to clinically observed retinal angiomatous proliferation. Am. J. Ophthalmol. Case Rep. 2017, 8, 53–57. [Google Scholar] [CrossRef]
  90. Kataoka, K.; Takeuchi, J.; Nakano, Y.; Fujita, A.; Kaneko, H.; Ito, Y.; Terasaki, H. Characteristics and classification of type 3 neovascularization with b-scan flow overlay and en face flow images of optical coherence tomography angiography. Retina 2020, 40, 109–120. [Google Scholar] [CrossRef]
  91. Martins, A.; Farinha, C.; Raimundo, M.; Lopes, M.; Santos, A.R.; Melo, P.; Marques, M.; Marques, J.P.; Barreto, P.; Cachulo, M.L.; et al. Multimodal Evaluation of the Fellow Eye of Patients with Retinal Angiomatous Proliferation. Ophthalmic Res. 2018, 59, 88–97. [Google Scholar] [CrossRef]
  92. Miere, A.; Querques, G.; Semoun, O.; Amoroso, F.; Zambrowski, O.; Chapron, T.; Capuano, V.; Souied, E.H. Optical coherence tomography angiography changes in early type 3 neovascularization after anti-vascular endothelial growth factor treatment. Retina 2017, 37, 1873–1879. [Google Scholar] [CrossRef]
  93. Sacconi, R.; Battista, M.; Borrelli, E.; Miere, A.; Corbelli, E.; Capuano, V.; Querques, L.; Souied, E.H.; Bandello, F.; Querques, G. OCT-A characterisation of recurrent type 3 macular neovascularization. Br. J. Ophthalmol. 2020. Epub ahead of print. [Google Scholar] [CrossRef]
  94. Smid, L.M.; Vermeer, K.A.; Wong, K.T.; Martinez Ciriano, J.P.; de Jong, J.H.; Davidoiu, V.; de Boer, J.F.; van Velthoven, M.E.J. Detailed optical coherence tomography angiographic short-term response of type 3 neovascularization to combined treatment with photodynamic therapy and intravitreal bevacizumab. Acta Ophthalmol. 2020. Epub ahead of print. [Google Scholar] [CrossRef]
  95. de Jong, J.H.; Braaf, B.; Amarakoon, S.; Gräfe, M.; Yzer, S.; Vermeer, K.A.; Missotten, T.; de Boer, J.F.; van Velthoven, M.E.J. Treatment Effects in Retinal Angiomatous Proliferation Imaged with OCT Angiography. Ophthalmologica 2019, 241, 143–153. [Google Scholar] [CrossRef] [PubMed]
  96. Yeo, J.H.; Chung, H.; Kim, J.T. Swept-Source Optical Coherence Tomography Angiography According to the Type of Choroidal Neovascularization. J. Clin. Med. 2019, 8, 1272. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  97. Borrelli, E.; Sacconi, R.; Klose, G.; de Sisternes, L.; Bandello, F.; Querques, G. Rotational Three-dimensional OCTA: A Notable New Imaging Tool to Characterize Type 3 Macular Neovascularization. Sci. Rep. 2019, 9, 17053. [Google Scholar] [CrossRef] [Green Version]
  98. Schatz, H.; McDonald, H.R. Atrophic macular degeneration. Rate of spread of geographic atrophy and visual loss. Ophthalmology 1989, 96, 1541–1551. [Google Scholar] [CrossRef]
  99. Sunness, J.S.; Rubin, G.S.; Applegate, C.A.; Bressler, N.M.; Marsh, M.J.; Hawkins, B.S.; Haselwood, D. Visual function abnormalities and prognosis in eyes with age-related geographic atrophy of the macula and good visual acuity. Ophthalmology 1997, 104, 1677–1691. [Google Scholar] [CrossRef] [Green Version]
  100. Lindblad, A.S.; Clemons, T.E. Responsiveness of the National Eye Institute Visual Function Questionnaire to progression to advanced age-related macular degeneration, vision loss, and lens opacity: AREDS Report no. 14. Arch. Ophthalmol. 2005, 123, 1207–1214. [Google Scholar]
  101. Giannaccare, G.; Pellegrini, M.; Sebastiani, S.; Bernabei, F.; Moscardelli, F.; Iovino, C.; Napoli, P.E.; Campos, E. Choroidal vascularity index quantification in geographic atrophy using binarization of enhanced-depth imaging optical coherence tomographic scans. Retina 2020, 40, 960–965. [Google Scholar] [CrossRef]
  102. Bartlett, H.; Eperjesi, F. Use of fundus imaging in quantification of age-related macular change. Surv. Ophthalmol. 2007, 52, 655–671. [Google Scholar] [CrossRef]
  103. Holz, F.G.; Bellman, C.; Staudt, S.; Schütt, F.; Völcker, H.E. Fundus autofluorescence and development of geographic atrophy in age-related macular degeneration. Investig. Ophthalmol. Vis. Sci. 2001, 42, 1051–1056. [Google Scholar] [CrossRef]
  104. Holz, F.G.; Bindewald-Wittich, A.; Fleckenstein, M.; Dreyhaupt, J.; Scholl, H.P.; Schmitz-Valckenberg, S.; FAM-Study Group. Progression of geographic atrophy and impact of fundus autofluorescence patterns in age-related macular degeneration. Am. J. Ophthalmol. 2007, 143, 463–472. [Google Scholar] [CrossRef]
  105. Waheed, N.K.; Moult, E.M.; Fujimoto, J.G.; Rosenfeld, P.J. Optical Coherence Tomography Angiography of Dry Age-Related Macular Degeneration. Dev. Ophthalmol. 2016, 56, 91–100. [Google Scholar]
  106. Pellegrini, M.; Acquistapace, A.; Oldani, M.; Cereda, M.G.; Giani, A.; Cozzi, M.; Staurenghi, G. Dark Atrophy: An Optical Coherence Tomography Angiography Study. Ophthalmology 2016, 123, 1879–1886. [Google Scholar] [CrossRef]
  107. Corbelli, E.; Sacconi, R.; Rabiolo, A.; Mercuri, S.; Carnevali, A.; Querques, L.; Bandello, F.; Querques, G. Optical Coherence Tomography Angiography in the Evaluation of Geographic Atrophy Area Extension. Investig. Ophthalmol Vis. Sci. 2017, 58, 5201–5208. [Google Scholar] [CrossRef] [Green Version]
  108. Nassisi, M.; Baghdasaryan, E.; Borrelli, E.; Ip, M.; Sadda, S.R. Choriocapillaris flow impairment surrounding geographic atrophy correlates with disease progression. PLoS ONE 2019, 14, e0212563. [Google Scholar] [CrossRef]
  109. Thulliez, M.; Zhang, Q.; Shi, Y.; Zhou, H.; Chu, Z.; de Sisternes, L.; Durbin, M.K.; Feuer, W.; Gregori, G.; Wang, R.K.; et al. Correlations between Choriocapillaris Flow Deficits around Geographic Atrophy and Enlargement Rates Based on Swept-Source OCT Imaging. Ophthalmol. Retin. 2019, 3, 478–488. [Google Scholar] [CrossRef]
  110. Capuano, V.; Miere, A.; Querques, L.; Sacconi, R.; Carnevali, A.; Amoroso, F.; Bandello, F.; Souied, E.H.; Querques, G. Treatment-Naïve Quiescent Choroidal Neovascularization in Geographic Atrophy Secondary to Nonexudative Age-Related Macular Degeneration. Am. J. Ophthalmol. 2017, 182, 45–55. [Google Scholar] [CrossRef]
  111. Green, W.R.; Key, S.N. III. Senile macular degeneration: A histopathologic study. Trans. Am. Ophthalmol. Soc. 1977, 75, 180–254. [Google Scholar] [PubMed]
  112. Sarks, S.H. New vessel formation beneath the retinal pigment epithelium in senile eyes. Br. J. Ophthalmol. 1973, 57, 951–965. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  113. Chang, T.S.; Freund, K.B.; de la Cruz, Z.; Yannuzzi, L.A.; Green, W.R. Clinicopathologic correlation of choroidal neovascularization demonstrated by indocyanine green angiography in a patient with retention of good vision for almost four years. Retina 1994, 14, 114–124. [Google Scholar] [CrossRef] [PubMed]
  114. Carnevali, A.; Cicinelli, M.V.; Capuano, V.; Corvi, F.; Mazzaferro, A.; Querques, L.; Scorcia, V.; Souied, E.H.; Bandello, F.; Querques, G. Optical coherence tomography angiography: A useful tool for diagnosis of treatment-naïve quiescent choroidal neovascularization. Am. J. Ophthalmol. 2016, 169, 189–198. [Google Scholar] [CrossRef] [PubMed]
  115. Carnevali, A.; Capuano, V.; Sacconi, R.; Querques, L.; Marchese, A.; Rabiolo, A.; Souied, E.; Scorcia, V.; Bandello, F.; Querques, G. OCT Angiography of Treatment-Naïve Quiescent Choroidal Neovascularization in Pachychoroid Neovasculopathy. Ophthalmol. Retin. 2017, 1, 328–332. [Google Scholar] [CrossRef] [PubMed]
  116. Carnevali, A.; Sacconi, R.; Querques, L.; Corbelli, E.; Rabiolo, A.; Chiara, G.; Scorcia, V.; Bandello, F.; Querques, G. Abnormal quiescent neovascularization in a patient with large colloid drusen visualized by optical coherence tomography angiography. Retin. Cases Brief. Rep. 2018, 12 (Suppl. 1), S41–S45. [Google Scholar] [CrossRef]
  117. Corbelli, E.; Carnevali, A.; Marchese, A.; Cicinelli, M.V.; Querques, L.; Sacconi, R.; Bandello, F.; Querques, G. Optical coherence tomography angiography features of angioid streaks. Retina 2018, 38, 2128–2136. [Google Scholar] [CrossRef]
  118. Heiferman, M.J.; Fawzi, A.A. Progression of subclinical choroidal neovascularization in age-related macular degeneration. PLoS ONE 2019, 14, e0217805. [Google Scholar] [CrossRef] [Green Version]
  119. Yanagi, Y.; Mohla, A.; Lee, S.Y.; Mathur, R.; Chan, C.M.; Yeo, I.; Wong, T.Y.; Cheung, C.M.G. Incidence of fellow eye involvement in patients with unilateral exudative age-related macular degeneration. JAMA Ophthalmol. 2018, 136, 905–911. [Google Scholar] [CrossRef] [Green Version]
  120. Treister, A.D.; Nesper, P.L.; Fayed, A.E.; Gill, M.K.; Mirza, R.G.; Fawzi, A.A. Prevalence of subclinical CNV and choriocapillaris nonperfusion in fellow eyes of unilateral exudative AMD on OCT angiography. Transl. Vis. Sci. Technol. 2018, 7, 19. [Google Scholar] [CrossRef] [Green Version]
  121. Laiginhas, R.; Yang, J.; Rosenfeld, P.J.; Falcão, M. Nonexudative Macular Neovascularization—A Systematic Review of Prevalence, Natural History, and Recent Insights from OCT Angiography. Ophthalmol. Retin. 2020, 4, 651–661. [Google Scholar] [CrossRef] [PubMed]
  122. Rabiolo, A.; Carnevali, A.; Bandello, F.; Querques, G. Optical coherence tomography angiography: Evolution or revolution? Expert Rev. Ophthalmol. 2016, 11, 243–245. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Multimodal imaging clearly shows a treated type 1 macular neovascularization (MNV). (A,B) Color and autofluorescence images; (CE) early, middle, and late phase of fluorescein angiography. (FH) Early, middle, and late stage of indocyanine green. (IK) 3 mm × 3 mm optical coherence tomography angiography (OCTA) and co-registered structural optical coherence tomography (OCT) scan show that a florid arborization of vessels is evident at the outer retina slab with a high choroidal flow void signal under the subretinal pigmentary epithelium (RPE) in correspondence with the macular neovascularization (MNV) lesion.
Figure 1. Multimodal imaging clearly shows a treated type 1 macular neovascularization (MNV). (A,B) Color and autofluorescence images; (CE) early, middle, and late phase of fluorescein angiography. (FH) Early, middle, and late stage of indocyanine green. (IK) 3 mm × 3 mm optical coherence tomography angiography (OCTA) and co-registered structural optical coherence tomography (OCT) scan show that a florid arborization of vessels is evident at the outer retina slab with a high choroidal flow void signal under the subretinal pigmentary epithelium (RPE) in correspondence with the macular neovascularization (MNV) lesion.
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Figure 2. Imaging of a Type II or “classic” macular neovascularization (MNV). (A) Multicolor imaging showing some reddish lesion in macular area due to pigmentary changes associated with a yellowish area secondary to a focally increased reflectivity at the level of the outer retina. (B) Early venous phases of fluorescein angiography (FA) showing a well-defined neovascular network in the nasal side of macular area with a clear dye-leakage during the late frames (C). (D) Structural optical coherence tomography (OCT) showing a well-defined subretinal mild hyperreflective lesion, located nasally to the foveal depression, associated with intraretinal fluid accumulation (cystoid spaces). (E) A fine neovascular network is visible at the level of the outer retina on “en-face” OCT-angiogram.
Figure 2. Imaging of a Type II or “classic” macular neovascularization (MNV). (A) Multicolor imaging showing some reddish lesion in macular area due to pigmentary changes associated with a yellowish area secondary to a focally increased reflectivity at the level of the outer retina. (B) Early venous phases of fluorescein angiography (FA) showing a well-defined neovascular network in the nasal side of macular area with a clear dye-leakage during the late frames (C). (D) Structural optical coherence tomography (OCT) showing a well-defined subretinal mild hyperreflective lesion, located nasally to the foveal depression, associated with intraretinal fluid accumulation (cystoid spaces). (E) A fine neovascular network is visible at the level of the outer retina on “en-face” OCT-angiogram.
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Figure 3. Optical Coherence tomography angiography (OCTA) and structural optical coherence tomography (OCT) of a Type III macular MNV. (A) 3 × 3 OCTA of outer retinal segment showing the presence of a white “point like” that corresponds to a detectable flow. (B) Co-registered structural OCT scan with hyporeflective cyst and hyperreflective intraretinal lesion.
Figure 3. Optical Coherence tomography angiography (OCTA) and structural optical coherence tomography (OCT) of a Type III macular MNV. (A) 3 × 3 OCTA of outer retinal segment showing the presence of a white “point like” that corresponds to a detectable flow. (B) Co-registered structural OCT scan with hyporeflective cyst and hyperreflective intraretinal lesion.
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Figure 4. Imaging of treatment-naïve quiescent macular neovascularization (MNV). (A,B) Early and late stage of fluorescein angiography (FA) showing inhomogeneous small hyperfluorescence without leakage. (C,D) 3 × 3 optical coherence tomography angiography (OCTA) and corresponding structural OCT b scan of choriocapillary plexus showing circular, well defined, foveal-sparing treatment-naïve quiescent MNV with small loops.
Figure 4. Imaging of treatment-naïve quiescent macular neovascularization (MNV). (A,B) Early and late stage of fluorescein angiography (FA) showing inhomogeneous small hyperfluorescence without leakage. (C,D) 3 × 3 optical coherence tomography angiography (OCTA) and corresponding structural OCT b scan of choriocapillary plexus showing circular, well defined, foveal-sparing treatment-naïve quiescent MNV with small loops.
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Table 1. Different main features provided by the manufacturer of the different OCTA devices.
Table 1. Different main features provided by the manufacturer of the different OCTA devices.
OCTA SystemCentral Wavelength (nm)Scanning Speed (Scans/s)Resolution
(Axial × Transverse, µm)
Imaging Depth (mm)Imaging Size
(mm)
OCTA Approach
Zeiss AngioPlex, Cirrus HD-OCT 6000840100,0005 × 152.0–2.93 × 3, 6 × 6, 8 × 8, 12 × 12Combined intensity and phase variance
Optovue AngioVue, RTVue XR AVANTI84070,0005 × 152.0–3.03 × 3, 6 × 6, 8 × 8Intensity decorrelation
Topcon Triton, DRI Triton1050100,0008 × 202.63 × 3, 6 × 6Intensity ratio analysis
Heidelberg Spectralis, OCT2, Angiography87085,0005 × 623 × 3Intensity decorrelation
Nidek AngioScan RS-3000 Advance 288085,0007 × 202.13 × 3, 4.5 × 4.5, 6 × 6, 9 × 9Combined intensity and phase decorrelation
Canon Angio, Xephilio OCT-S1855100,000NA5.33 × 3, 6 × 6, 10 × 10, 20 × 23NA
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Carnevali, A.; Mastropasqua, R.; Gatti, V.; Vaccaro, S.; Mancini, A.; D’Aloisio, R.; Lupidi, M.; Cerquaglia, A.; Sacconi, R.; Borrelli, E.; et al. Optical Coherence Tomography Angiography in Intermediate and Late Age-Related Macular Degeneration: Review of Current Technical Aspects and Applications. Appl. Sci. 2020, 10, 8865. https://doi.org/10.3390/app10248865

AMA Style

Carnevali A, Mastropasqua R, Gatti V, Vaccaro S, Mancini A, D’Aloisio R, Lupidi M, Cerquaglia A, Sacconi R, Borrelli E, et al. Optical Coherence Tomography Angiography in Intermediate and Late Age-Related Macular Degeneration: Review of Current Technical Aspects and Applications. Applied Sciences. 2020; 10(24):8865. https://doi.org/10.3390/app10248865

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Carnevali, Adriano, Rodolfo Mastropasqua, Valentina Gatti, Sabrina Vaccaro, Alessandra Mancini, Rossella D’Aloisio, Marco Lupidi, Alessio Cerquaglia, Riccardo Sacconi, Enrico Borrelli, and et al. 2020. "Optical Coherence Tomography Angiography in Intermediate and Late Age-Related Macular Degeneration: Review of Current Technical Aspects and Applications" Applied Sciences 10, no. 24: 8865. https://doi.org/10.3390/app10248865

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