Abstract
Purpose
Subretinal fibrosis (SRFib) is an important cause of permanent loss-of-vision diseases with submacular neovascularization, but a reliable diagnostic method is currently missing. This study uses polarization-sensitive optical coherence tomography (PS-OCT) to detect SRFib within retinal lesions by measurement of its birefringent collagen fibers.
Methods
Twenty-five patients were enrolled with retinal pathology in one or both eyes containing (1) suspected SRFib, (2) lesions suspected not to be fibrotic, or (3) lesions with doubtful presence of SRFib. All eyes were evaluated for SRFIb using conventional diagnostics by three retinal specialists. PS-OCT images were visually evaluated for SRFib based on cumulative phase retardation, local birefringence, and optic axis uniformity.
Results
Twenty-nine eyes from 22 patients were scanned successfully. In 13 eyes, SRFib was diagnosed by all retinal specialists; of these, 12 were confirmed by PS-OCT and one was inconclusive. In nine eyes, the retinal specialists expected no SRFib, which was confirmed by PS-OCT in all cases. In seven eyes, the retinal specialists’ evaluations were inconsistent with regard to the presence of SRFib. PS-OCT confirmed the presence of SRFib in four of these eyes and the absence of SRFib in two eyes and was inconclusive in one eye.
Conclusions
In 21 out of 22 eyes, PS-OCT confirmed the evaluation of retinal specialists regarding the presence of SRFib. PS-OCT provided additional information to distinguish SRFib from other tissues within subretinal neovascular lesions in 6 out of 7 eyes.
Translational Relevance
PS-OCT can identify and quantify SRFib in doubtful cases for which a reliable diagnosis is currently lacking.
Keywords: subretinal fibrosis, OCT, polarization sensitive, birefringence, AMD
Introduction
Age-related macular degeneration (AMD) with submacular neovascularizations is one of the most common causes of severe vision loss in the Western world.1,2 Recently, new treatments based on drugs suppressing vascular endothelial growth factor (anti-VEGF) have been developed to prevent severe vision loss in these patients.1,3,4 However, even with anti-VEGF drug treatment, retinal tissue changes such as subretinal fibrosis (SRFib) can still develop in the course of submacular neovascularization, causing irreversible vision loss.5–7
The development and presence of fibrosis is a prognostic factor for the future of visual acuity; therefore, good imaging techniques to monitor the development of SRFib are important for the selection of patients who may respond better (i.e., no fibrosis) or worse (i.e., mostly fibrotic lesions) to treatment.8 Conventional imaging techniques such as fluorescein angiography, indocyanine green angiography (ICGA), fundus photography, and optical coherence tomography (OCT) give structural and circulatory information on retinal pathology.9–11 However, none of these imaging techniques can reliably recognize and delineate fibrosis within retinal lesions. Fibrotic tissue can be suspected from highly reflective lesions on OCT in combination with visual acuity, fundus photography, fluorescein angiography, and indocyanine green angiography results,12 although a definitive diagnosis is still difficult.
OCT measures interferometrically the depth from which light is reflected within retinal structures.13 Its main advantage over other techniques is that it not only measures a projected en face view of the retina but also provides in-depth information for the creation of cross-sectional images. The importance of OCT in ophthalmology has increased enormously over the last years, and OCT has become a standard tool for diagnostics and clinical research.14–16 The recently developed OCT angiography is a promising new way to image retinal microvasculature and neovascular processes17–19; however, currently there is no standard method to reliably monitor the transition of non-fibrotic neovascular lesions into fibrotic neovascular lesions.
Birefringence is an optical property that changes the polarization state of the light and manifests itself in fibrous tissues such as the retinal nerve fiber layer.20,21 Retinal nerve fiber layer birefringence has been used in the diagnosis and follow-up of glaucoma patients.22,23 Tissue birefringence alterations are also present during wound healing due to the changes in collagen and reticulin fiber structures.24 Imaging methods that are sensitive to birefringence can therefore add an additional contrast modality to the existing techniques for improved detection of SRFib, which is a form of scar tissue consisting mostly of collagen fibers.6 SRFib has therefore birefringent characteristics, allowing it to be visualized by polarization-sensitive OCT (PS-OCT).25–27 This makes PS-OCT a promising tool for reliable detection and three-dimensional delineation of fibrotic tissue within (sub)retinal lesions.
Shortly after the introduction of OCT, PS-OCT was developed.28,29 This functional form of OCT was shown to be able to detect the birefringent properties of collagen,29,30 and later it was found that fibrotic tissue in the retina also provides significant contrast when examined with PS-OCT.26,27 For improved stability, the PS-OCT bulk optics systems were further developed to fiber-based systems.31,32 Those systems came with new challenges, as the birefringence from the fiber components had to be separated from birefringence in the sample.30 It was shown that polarization mode dispersion and other PS-OCT system distortions have to be corrected to obtain the most accurate results, which can be implemented based on Mueller33 and Jones34,35 calculus. The latter was also applied in this study. In this proof of concept study, we aimed to use PS-OCT for finding and delineating SRFib in subretinal neovascular pathology, most notably neovascular AMD.
Methods
Participants
Twenty-five patients of the Amsterdam UMC, location VUmc, were enrolled for scanning with the PS-OCT. The study followed the tenets of the Declaration of Helsinki, and written informed consent was obtained from all patients. The study was approved by the Medical Ethics Committee of the Amsterdam UMC, location VUmc. Patients were included if they had macular lesions. Two patients had fibrosis caused by multifocal choroiditis with inflammatory choroidal neovascularization (CNV), and three had myopic/idiopathic CNV. All other patients had neovascular AMD. The macular lesions were sorted into three categories: (1) neovascular lesions with suspected fibrosis, (2) lesions suspected to consist of material not of fibrotic origin, or (3) neovascular lesions in which there was doubt as to whether they contained fibrosis. The lesions judged as fibrotic (n = 13) were fibrotic scars: one was quiet and had not been under anti-VEGF treatment for several years, and five had not received anti-VEGF treatment due to long existence. The remaining lesions judged as fibrosis (n = 7) were type 2 (classic) CNVs, partially fibrotic but still under anti-VEGF treatment. A definition when fibrosis was suspected based on examinations is given below. From the group of eyes with lesions suspected not to contain fibrotic material (n = 9), five were type 1 CNVs with fibrovascular pigment epithelial detachment and were under anti-VEGF treatment. The remaining four eyes of two patients in this group had pseudovitelliform macular lesions; one of these patients (two eyes) had received anti-VEGF earlier, and the other patient had not. Lesions without suspected fibrosis were chosen as negative controls. Some of both of the type 1 and type 2 CNVs were judged as doubtful (n = 7). Exclusion criteria were severe media opacity hindering retinal imaging or inability to acquire reliable images. Demographic data about the study population are included inTable 1.
Table 1.
Demographic | Value |
---|---|
Number of participants (N) | 22 |
Number of eyes (N) | 29 |
Sex (female), n (%) | 12 (54.5) |
Age (y), mean ± SD | 75.0 ± 14.0 |
Best corrected visual acuity (LogMAR), mean ± SD* | 0.69 ± 0.65 |
Diagnosis | |
– Neovascular AMD, n eyes (%) | 24 (82.8) |
– Myopic/idiopathic CNVs, n eyes (%) | 3 (10.3) |
– Multifocal choroiditis, n eyes (%) | 2 (6.9) |
This value was averaged over all eyes instead of participants.
Examinations
Best corrected visual acuity (BCVA), slit-lamp biomicroscopy, and OCT (Spectralis; Heidelberg Engineering GmbH, Heidelberg, Germany) were obtained for all patients as part of standard care. PS-OCT was obtained successively after their usual check-up, so all examinations were performed on the same day. All eyes were dilated with tropicamide 0.5% and phenylephrine 5% prior to imaging. Fundus photography (45°–50°; Topcon Corporation, Tokyo, Japan) of the region of interest was obtained for the eyes scanned with PS-OCT.
Defining Fibrosis
All eyes were judged by three retinal specialists to make a prediction on whether fibrosis was expected. Eyes where the three specialists were inconsistent or inconclusive in their judgment were marked as “doubtful fibrosis.” To make an evaluation regarding the presence of fibrosis, the specialists based their judgment on BCVA, OCT images, and fundus photography of the included eye. SRFib was defined as a yellow-whitish lesion on fundoscopy and fundus photography and as a hyperreflective lesion on OCT at the level of the retinal pigment epithelium (RPE) combined with low BCVA when the lesion was subfoveal in accordance with earlier definitions.12 The presence of fibrosis using the PS-OCT was defined by visual inspection of the images and criteria described in the Processing and Evaluation section.
Polarization Sensitive Optical Coherence Tomography
The PS-OCT imaging system was introduced by Braaf et al.,35 and modifications to improve the A-line phase stability have been described in Gräfe et al.36 In short, light from a swept source (Axsun Technologies, Billerica, MA) with a 1060-nm central wavelength was inserted into a single-mode, fiber-based OCT interferometer. In the sample arm, the light was split into two orthogonal polarization states, and one state was delayed in time before it was sent into the eye. The time delay caused a shift in depth between the two states in the OCT image, which allowed for their individual detection (depth multiplexing). After recombination with the reference arm the OCT light was split into two orthogonal polarization channels and recorded through balanced detection. The depth-multiplexed images were acquired with 1536 samples per A-line, 2000 A-lines per B-scan, and 300 B-scans of an area 6 × 6 mm. The acquisition time for one C-scan was 6.6 seconds. The axial resolution of the PS-OCT system was 8.7 µm (in air), and the beam diameter at the cornea was 1.1 mm. A fixation target was presented to the contralateral eye.
Processing and Evaluation
Initial OCT processing steps were signal roll-off compensation,35 fixed pattern removal,37 spectral shaping by a tapered cosine window, and digital chromatic dispersion compensation.38 The overlay between the depth-delayed polarization states and the compensation for polarization mode dispersion are described in the Supplementary Material. OCT intensity images were computed by coherent signal composition.39 Images of three PS-OCT contrast modalities were used to identify birefringent fibrotic areas in tissue: cumulative double-pass phase retardation (DPPR),30,35 local birefringence,40 and optic axis uniformity (OAxU).41–43 The cumulative DPPR measures the phase retardation between the principle polarization states along the complete optical path through the tissue. When deeper locations are measured within birefringent tissues, the optical path becomes longer, and more cumulative DPPR will be measured until reaching a value of π, from which it decreases again due to phase wrapping. An increasing slope is characteristic for cumulative DPPR in birefringent structures (until π). In contrast, the local birefringence is a measure of the phase retardation effect at a single depth location and does not accumulate with longer optical paths. The local birefringence is proportional to the amount of actual birefringent material (with optic axis perpendicular to the incident light) per pixel in the OCT image.40 Local birefringence images show high signal at the locations of high concentration of birefringent tissue. In general, images of the cumulative DPPR are used for sensitive qualitative evaluation of the birefringence in the retina, whereas the local birefringence gives quantitative information but with lower sensitivity. In many biological tissues, the orientation of fiber bundles can be measured from the optic axis of the birefringent fibrous tissue. The OAxU uses this property to indicate areas with significant concentration of highly aligned fibers. OAxU combines similar sensitivity of cumulative DPPR and the axial localization of local birefringence and can therefore only be used for binary decisions and not for quantification.
Visual inspection included inspection of images from above mentioned contrast modalities with two members of the research team (MGOG, JAvdK). If no consensus was reached, a retinal specialist (FDV) was consulted as final judge. Images were judged positive for birefringence if a clear and consistent elevated level of local birefringence was present in multiple adjacent B-scans and the OAxU was high in the same areas. In some scans, local birefringence was not significantly elevated but OAxU could still reveal a good birefringent contrast. In those cases, the cumulative DPPR was used to make a final judgement. Expected high birefringence contrast from scleral tissue and the retinal nerve fiber layer (RNFL) were ignored. Certain scans showed regions with high local birefringence with a speckled, highly fluctuating behavior, low OAxU, and strong attenuation (the signal-to-noise ratio was weak below these regions, so cumulative DPPR could not be used). Those effects could be attributed to depolarization by a local accumulation of pigment as seen on the corresponding fundus photograph, as the presence of melanin pigments was shown not only to be strongly attenuating but also depolarizing.44–46 Those areas were excluded and not considered to be fibrotic.
Results
Twenty-five patients were enrolled in the study. In three patients, scanning failed due to technical failure (n = 2) or inability to make a reliable image (n = 1). A total of 29 eyes from 22 patients were scanned successfully with the PS-OCT system. Twenty-four eyes had a diagnosis of neovascular AMD and five had other diagnoses: myopic/idiopathic CNV (n = 3) and multifocal choroiditis (n = 2). The panel of three specialists judged 13 out of 29 eyes to have subretinal fibrosis and nine to be negative for subretinal fibrosis; they were in disagreement or in doubt about seven eyes. Visual inspection using PS-OCT scans revealed 16 scans to be positive for birefringence within the lesion (i.e., to contain fibrosis) and 11 negative; in two, a definite diagnosis could not be made. Table 2 shows the matching between retinal specialists using conventional diagnostics and the diagnostics based on the criteria described in the Processing and Evaluation section for PS-OCT scans.
Table 2.
Clinical Assessment (Fundus Images, OCT, and BCVA) | Fibrosis on PS-OCT | No Fibrosis on PS-OCT | Inconclusive on PS-OCT | Total |
---|---|---|---|---|
Suspected fibrosis | 12 | 0 | 1 | 13 |
No suspected fibrosis | 0 | 9 | 0 | 9 |
In doubt | 4 | 2 | 1 | 7 |
Total | 16 | 11 | 2 | 29 |
Specialists used conventional diagnostics (i.e., fundus images, OCT, and BCVA) versus determining the presence of elevated birefringence (i.e., fibrosis) by visual inspection on polarization-sensitive optical coherence tomography.
Fibrosis was suspected by the retinal specialists in 13 eyes, and PS-OCT confirmed 12 of these cases by showing an elevated birefringent signal and high optic axis uniformity within the lesions. In the remaining case with suspected fibrosis, the PS-OCT images were deemed inconclusive. In this case, high myopia and a resulting thin retina caused significant birefringence/optic axis uniformity from the scleral tissue, obscuring a potential signal from fibrotic tissue. Figure 1 shows example images for one of the 12 positive cases of patients with suspected SRFib where PS-OCT scans confirmed its presence. The birefringent region can clearly be identified. Local birefringence and OAxU provide strong contrast for the areas of fibrotic tissue. The signals in cumulative phase retardation support this. The fibrotic material highlighted by PS-OCT is located within the hyperreflective layer (dark layer in structural image). It corresponds to the region where yellow material can be found in the fundus image but it has a distinct substructure. The refractive index difference that corresponds to the maximum of the displayed local birefringence is Δn = 2.04 × 10−3. This is a range similar to what was reported for collagen in scar tissue in skin (1.55 × 10−3),47 tendon (3.0 × 10−3),48 stroma around malignant lesions in breast tissue (2.2 × 10−3),40 or chicken muscle (2.3 × 10−3).32 Because of the good contrast-to-noise ratio, as shown by Willemse et al.,43 it was possible to choose a lower bound for the OAxU images (0.70) above the noise floor in tissue (0.55), with a maximum of 1.00.
The next case is an example of SRFib when the fibrotic tissue was on the more difficult end of being identifiable by the images created from PS-OCT data. In this case, not all modalities would lead to the same conclusion regarding the presence of birefringence. In some cases, the cumulative DPPR was clearly positive for birefringence, whereas this was not as pronounced or was even absent in the local birefringence images. Figure 2 shows an example of a birefringent signal present in the cumulative DPPR image but absent in the local birefringence image. The OAxU image shows higher sensitivity to the weak birefringent structures than the local birefringence but with similar spatial confines. OAxU images were often able to give conclusive evidence on the presence or absence of birefringent tissue in such cases, as fibers causing birefringence are oriented in the same direction (within the corresponding kernel), which results in a high optic axis uniformity.
In a total of nine eyes, the retinal specialists expected no subretinal fibrosis. All nine cases were confirmed by PS-OCT, as neither a birefringent signal nor optic axis uniformity was present. Figure 3 shows the images of a patient with no suspected fibrosis and PS-OCT confirming this absence of fibrosis.
In a total of seven eyes, the retinal specialists were either in doubt or in disagreement on the presence of subretinal fibrosis. Of these seven eyes, PS-OCT showed a birefringent signal and high optic axis uniformity in four, signifying the presence of fibrosis, but neither a birefringent signal nor optic axis uniformity in two eyes, signifying the absence of fibrosis. In one eye, the PS-OCT scan was deemed inconclusive due to the low quality of the scan and the resulting low signal-to-noise ratio. Figures 4 and 5 show examples of these seven eyes. Although elevated birefringence and high optic axis uniformity were found that indicated SRFib, as shown in Figure 4, the same could not be identified in the case presented in Figure 5.
Based on PS-OCT data, a two-dimensional en face projection can be created. As a first example, Figure 6 shows the en face image of the same patient as shown in Figure 1. A volume of 100 pixels (∼400 µm) below the inner limiting membrane (ILM) was chosen from one dataset, and the median of the cumulative DPPR along the A-scans was used for the projection, which in this particular case approximately included the RPE but excluded the sclera. The fibrotic lesion was highlighted by OAxU in the intensity en face image, where more than 30% of the segmented pixels had an OAxU value of 0.70 or higher. The heterogeneous distribution of fibrosis within the lesion can be appreciated in Figure 6C.
Discussion
In this proof-of-concept study, we have demonstrated the diagnostic capabilities of PS-OCT in finding and delineating subretinal fibrosis in retinal neovascular pathology. We successfully scanned 29 eyes with retinal pathology using PS-OCT, and in 27 of them the presence or absence of fibrosis was concluded.
There is currently no gold standard for detecting subretinal fibrosis in retinal lesions. The presence of fibrosis can be suspected by retinal specialists with the evaluation of fundus images or conventional OCT scans, in combination with clinical information such as visual acuity.12 In some instances, however, the presence or absence of fibrosis is very difficult to define for retinal specialists, as lesions may be very heterogenic. This study illustrates this problem, as in seven out of 29 eyes the retinal specialists could not reach consensus of the presence of SRFib (Table 2). PS-OCT makes use of the birefringent properties of fibrosis to establish its presence, offering an additional and potentially more reliable detection method.25–27
In most cases with a birefringent signal, the fibrotic lesions showed a spatially heterogeneous patchy structure rather than a uniform birefringent layer. Those correlate with the occurrence of yellow-whitish lesions in the fundus images and formation of a hyperreflective layer in the structural images (in clear cases) but show more details of the local distribution of fibrotic tissue. In cases which were graded doubtful by the retinal specialists but positive on PS-OCT, birefringent material could be found even if yellow-whitish lesions were not recognized by the retinal specialists. Thus, these patterns do not match exactly and, especially in doubtful cases, can lead to misinterpretations. The occurrence of the patchy structures is similar to what has been reported earlier by Roberts et al.26 and could reflect an irregular pattern of inflammation and healing processes. The development of subretinal fibrosis is similar to that of fibrosis in other parts of the body; tissue inflammation causes the release of mediators recruiting inflammatory cells and fibroblasts. Neovascularization triggers a similar process, and especially after repeated injury/inflammation a fibrotic scar will remain.6 This scarring is then likely to resemble the local inflammation and neovascularization.49
The three image modalities—cumulative DPPR, local birefringence, and OAxU—can together be used in complementary ways due to their different advantages and disadvantages. Cumulative DPPR and OAxU were more sensitive to recognizing weak birefringent structures. This was particularly helpful in doubtful cases. If fibrosis could not be found with the local birefringence signal but OAxU showed high signal and it could be confirmed with cumulative DPPR, then it was still judged positive. In Figure 2C, a moderate increase of DPPR above the noise floor can be seen, whereas hardly any signal changes can be recognized in Figure 2D. OAxU shows again a significant signal in an area that could be attributed to the existence of fibrotic tissue. In addition to its good sensitivity to low birefringence, OAxU can also be applied for axial localization of birefringent structures. Despite their good sensitivity, OAxU and cumulative DPPR can only be used for binary decisions whether fibrotic tissue is present or not. Local birefringence calculation, on the other hand, offers potential for the quantification of birefringent tissue.40
Including the local contrast modes (OAxU41,50,51 and local birefringence40), in addition to cumulative DPPR as published in previous work,20,26,27,52 allowed better evaluation of the extent of fibrotic lesions in depth and made judgment regarding the presence of SRFib more reliable. OAxU and local birefringence are also more convenient to use. Cumulative DPPR images are in general more difficult for clinicians to interpret due to their shadow-like artifacts below the actual birefringent material, whereas the axial confinement of local birefringence and OAxU offers a more intuitive way of displaying and judging results.
In addition to structural and birefringence images of B-scans and the diagnosis of fibrosis with the above-mentioned criteria, the PS-OCT data can also be applied to en face projections, such as shown in Figure 6, to help map out the extent of fibrotic lesions. En face images of the fibrotic lesion can be created when the birefringent signals from the RNFL and sclera are excluded from the projection. In Figure 6, a projection depth was chosen that included the signal from the fibrotic tissue but excluded the sclera. The birefringent signal in the RNFL is weaker and in this example completely dominated by the signal from the fibrotic tissue. To standardize this method, a robust segmentation is required to exclude scleral tissue, as can be seen in the lower right part of Figure 5C. If weak signals are to be analyzed (especially for quantitative analysis), such as in Figure 2, segmentation and exclusion of the RNFL might also be necessary.
Conclusions
This study has shown that PS-OCT, and especially local birefringence and OAxU, provide a novel contrast mechanism for detecting subretinal fibrosis within retinal neovascular lesions. There was high agreement among the evaluations of the three retinal specialists regarding the presence of subretinal fibrosis and a birefringent signal in combination with high OAxU within a lesion when using PS-OCT. In cases where the retinal specialists were in disagreement or decisions were inconclusive, PS-OCT could provide additional information to guide the diagnosis. PS-OCT could be used to evaluate how fibrotic scars within the retina develop over time by monitoring patients over the course of several months or years. This can provide invaluable insight into the development of fibrosis in the presence of CNV and contribute to investigating the effects of various treatment options on the development of fibrosis. Furthermore, PS-OCT can be a very interesting tool for quantification of birefringence and might also be of interest for the investigation of other pathologies, such as glaucoma, that affect RNFL tissue and embedded birefringent nerve fibers.
Supplementary Material
Acknowledgments
This work received support from Oogfonds Nederland, Algemene Nederlandse Vereniging ter Voorkoming van Blindheid, and the Dutch Technology Foundation STW (Grant No. 12822), which is part of the Netherlands Organisation for Scientific Research. The collaboration project was also co-funded by the PPP Program Allowance made available by Health∼Holland, Top Sector Life Sciences & Health, to stimulate public–private partnerships.
Disclosure: M.G.O. Gräfe, Imedos Systems (E); J.A. van de Kreeke, None; J. Willemse, None; B. Braaf, Heidelberg Engineering (E); Y. de Jong, None; H.S. Tan, None; F.D. Verbraak, None; J.F. de Boer, NIDEK Inc. (P), Terumo Corporation (P), Ninepoint Medical (P), and Heidelberg Engineering (P,F)
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