Patients
Patients of retrospective selection with a diagnosis of nAMD were identified by an ophthalmologist following the international ARM epidemiological study group grading system,[17] and the contralateral eye without any treatment of each patient was evaluate in detail. Patients with AMD were graded by ophthalmologist according to the description (0) a , No signs ; b , Few hard drusen (<63 μm) ; (1) a , Soft distinct (>63 μm) ; b , Pigment irregularities only (no soft drusen) ; (2) a , Soft indistinct drusen (>125 μm) ; b , Soft distinct drusen (>63 μm) and pigment irregularities ; (3) Soft indistinct drusen (>125 μm) and pigment irregularities ; (4) a, GA; b, CNV; c, GA and CNV [17]. Patients were retrospectively select from the Zhejiang Provincial People's Hospital, China from May 2022 to May 2023. Inclusion criteria were: (1) stable foveal fixation, and (2) spherical equivalent (SE) refractive error between −5.00 and +5.00 diopters.
Exclusion criteria were: (1) established any retinal or choroidal disease, (2) presence of any drusen-like deposits, atrophy, or retinal detachment on indirect ophthalmology or swept - source optical coherence tomography (SS-OCT) examination; (3) ocular trauma or surgery, (4) systemic disorders with ocular involvement such as diabetes and hypertension.
The study was performed in accordance with the tenets of the Declaration of Helsinki and the Institutional Review Board/Ethics Committee of Zhejiang Provincial People‘s Hospital approved the study protocol. Age- and sex-matched control subjects were recruited from workers at the Zhejiang Provincial People’s Hospital.
Evaluations and Measurements
Clinical Examinations
All subjects underwent comprehensive clinical examinations, including spherical equivalent refractive and best corrected visual acuity (BCVA), intraocular pressure (IOP) measurement (Kowa applanation tonometer HA-2; Kowa Company Ltd. Tokyo, Japan), slit-lamp biomicroscopy, and ophthalmoscopy. In addition, the fundus photography was performed with a 200-degree ultrawide field color fundus photographs (Optos PLC, Dunfermline, Scotland, UK).
Image Acquisition Protocol and Analysis
All the subjects were imaged by a commercial SS-OCT device (VG200; SVision Imaging, Ltd., Luoyang, China) which was equipped with angiovue for OCT-A. The swept-source (SS) OCT has a central wavelength of 1,050 nm. The 6×6mm scan patterns centering on the fovea were conducted in this study. Images with a high signal strength index (> 6) were further evaluated.
Inbuilt algorithm in the SS-OCT was used to segment and measure the thickness of the (1) NFL, (2) GCL+IPL, (3) INL, (4) outer retina(include outer plexiform layer (OPL), Henle fiber layer and outer nuclear layer (HFL+ONL), the myoid and ellipsoid zone (MEZ), photoreceptor outer segments (OS),and interdigitation zone + retinal pigment epithelium (IZ+RPE)), and (5)choroid (Fig. 1, B). And there were manual corrections within SS-OCT used to adjust segmentation errors. For analysis, the macular thickness map was divided into a 1-mm diameter circle centered over the fovea and a total annular zone (TAZ) surrounded by a concentric ring 0.5 - 1.5 mm from the fovea. The areas of the central circle and the TAZ were then divided into five regions including the central (C) and the superior, temporal, inferior, and nasal regions (S, T, I, and N, respectively) (Fig. 1, A).
Parameters of OCTA from the inner circle were automatically calculated in the parafoveal regions include superior (S), temporal (T), inferior (I), and nasal (N) regions of the 3-mm diameter circular zone after excluding the foveal avascular zone (FAZ), while the outer circle were excluded because of an incomplete edge in the 6×6mm scanning area (Fig. 1, C and D). Vessel density is a metrics used to describe the percentage of area occupied by blood vessels in a 2D retina projection image. The projection image is acquired by projecting a 3D angiography volume data onto a 2D imaging plane, sometimes also called an en face image. The presence of blood vessel is directly indicated by angiography signal. An algorithm is designed to separate the foreground (blood vessel) pixels from background (non-vessel tissue) pixels, by properly segmenting the image from the perspective of angiography signal strength. Then the ratio of blood vessel pixels as a percentage of all pixels is computed within a pre-defined window size. Microvasculature parameters included the superficial capillary plexus (SCP), deep capillary plexus (DCP) from a 6 × 6mm scan pattern. The SCP was defined as the microvasculature between the base of the retinal nerve fiber layer (RNFL) to the junction between the inner plexiform layer (IPL) and inner nuclear layer (INL) (Fig. 1, F), DCP was defined as the microvasculature between the INL/OPL junction to 25 μm below it (Fig. 1, G). The OCTA parameter was also described in previous study.[10] The choroid vessel index (CVI) is defined as the ratio of the volume of Haller’s and Sattler’s layers to the volume of the choroid (Fig. 1, H), which was automatically measured by an artificial intelligence-based algorithm that identifies Haller’s and Sattler’s layers on B-scans and reconstructs 3D graphic maps of the medium-diameter and large-diameter choroidal vessel layers.
Statistical Analysis
All data were calculated as means ± standard deviations and analyzed with SPSS software (version 22.0; SPSS, Inc., Chicago, IL, USA). The spherical equivalent (SE) of refraction error was calculated as the spherical dioptric power plus one-half of the cylindrical dioptric power. Differences of gender among the groups were determined by the x2 test. One-way analysis of variance (ANOVA) was used to compare the differences among the groups, and post hoc procedures were used to compare differences between the two groups. P values of < 0.05 were considered statistically significant.