This study was a prospective observational case series of consecutive patients with recalcitrant nAMD who were transitioned to faricimab per clinician discretion. Patients were enrolled between 9/14/2022 and 2/7/2023 at our single tertiary care ophthalmology clinic. The tenets of the Declaration of Helsinki were followed, Institutional Review Board approval was obtained, and patients provided written informed consent for obtaining additional Swept-Source (SS) imaging with image data analysis during their treatment.
Recalcitrant patients were defined as patients previously treated with intravitreal anti-VEGF agents (ranibizumab, aflibercept, bevacizumab, or some combination) who were unsuccessfully extended beyond 6-week injection intervals with their previous treatment agent. These patients experienced enlarging PED, recurrent IRF or SRF if extended beyond 6 weeks, or maintained persistent SRF or IRF at 4-week injection intervals. Inclusion criteria comprised of being a recalcitrant nAMD patient consenting to the additional SS imaging and participation in this observational imaging study. Exclusion criteria consisted of any history of photodynamic therapy (PDT).
Recalcitrant nAMD patients who were initiated on a loading-dose regimen of four, monthly, intravitreal faricimab injections, as recommended by the drug manufacturer, were imaged during their treatment visits. These injections were administered at 4-to-6-week intervals based on clinical scheduling availability. OCT and SS-OCTA 3x3 mm and 6x6 mm scans (PLEX Elite 9000; Carl Zeiss Meditec Inc; Dublin, California, USA) were acquired immediately before the first and fourth intravitreal faricimab injections, defined as baseline and 3 months respectively.
Apart from one patient who received baseline imaging five days prior to their first injection, patients who received any consecutive induction-phase intravitreal injections at an interval greater than 6 weeks, or who failed to receive OCT and/or SS-OCTA scans immediately before injections, were excluded from analysis. Patients with presence of vitreous hemorrhage, MNV that was incompletely encompassed in the 6x6 mm SS-OCTA scan, or inability to obtain a high-quality OCT or SS-OCTA scan (signal strength > 6/10) at both timepoints were also excluded from analysis.
OCT features analysis
Baseline prevalence of OCT imaging features of treatment-recalcitrant eyes, including presence versus absence of IRF, SRF, PED, subretinal hyperreflective material (SHRM), hyperreflective foci (HRF), retinal pigment epithelium (RPE) tear, subretinal drusenoid deposits (SDDs), and subfoveal hyper-transmission were compiled.
Macular neovascularization (MNV) analysis
MNV was segmented on SS-OCTA en face images using the standardized “RPE-RPEfit” segmentation on the device manufacturer’s software, as prior work has found this slab to have the greatest inter-reader reproducibility for segmentation of type 1 and type 2 choroidal neovascularization (CNV). 10 Manual fine-tuning adjustments were made by two graders (AN, MD) when the MNV was not entirely encompassed by this automatic segmentation.
Baseline and 3-month 6x6 mm en face images were used for MNV analysis in FIJI ImageJ 2.9.0/1.53t Java 1.8.0_322 64 bit. 11 Patients without visualized MNV on both baseline and 3-month SS-OCTA scans were excluded from the MNV analysis. Areas of MNV were manually outlined by two graders (AN, MD) at the edges of clear vascular signals to define a region of interest (ROI). If multiple regions of clearly non-contiguous MNV were seen in the image, the MNV was analyzed as a combined but discontinuous ROI with ImageJ. Dice similarity coefficients for the ROIs were calculated between graders, and the mean value was determined to statistically assess overlap of the ROIs as a measurement of inter-grader reliability.
MNV area was calculated as the area covered by the MNV ROI. MNV vessel density (VD) was calculated after image thresholding and binarization with the Huang2 method, an alternative implementation of the Huang method, a fuzzy thresholding method with a noticeable speed advantage constructed by Johannes Schindelin, as the area of the ROI covered by blood vessels divided by the total MNV area. 12 Total vessel length (TVL) and vessel linear density (VLD; total vessel length divided by MNV area) were calculated with a custom ImageJ macro that summed the lengths of all branches of all vessel skeletons identified by the ImageJ Analyze Skeleton command using the skeletonization of the binarized image. Percent change between the two imaging timepoints was calculated for MNV area, VD, TVL, and VLD. Mean values of these metrics at baseline and 3 months were compared with two-tailed paired t-tests.
The previously described MNV and percent change metrics were also calculated for 3x3 mm scans (9 total) that completely encompassed identified regions of MNV at both baseline and 3-month imaging. All such calculated metrics were compared pairwise to the corresponding 6x6 mm scan metrics from the same eye at the same timepoint using two-tailed paired t-tests to determine if scan size influenced these SS-OCTA metrics.
Pigment epithelial detachment (PED) analysis
The device manufacturer’s prototype “Advanced RPE Analysis” software algorithm and custom code written in Python 3.10.5 (Python Software Foundation; Wilmington, Delaware, USA) were used to segment PEDs from 6x6 mm OCT scans and to calculate PED maximum height, mean height, area, and volume for each image. Patients with solely drusenoid PEDs or PEDs incompletely encompassed within a 6x6 mm image at either timepoint were excluded from the PED analysis. Percent change in PED area, volume, maximum height, and mean height were analyzed. Mean values of these metrics at baseline and 3 months were compared with two-tailed paired t-tests.
Best-corrected visual acuity (BCVA) analysis
Snellen BCVA was recorded by a trained ophthalmic technician at baseline and 3 months. Values were then converted into logarithm of the minimum angle of resolution (logMAR) in order to compare mean values. Chi-squared analysis was used to calculate the change in mean BCVA between imaging timepoints.
Statistics
All statistical comparisons were performed with GraphPad Prism 9.4.1 (Dotmatics, Boston, Massachusetts, USA) at a significance level of alpha equal to 0.05.