Dataset Information

Distribution of OCT Features within Areas of Macular Atrophy or Scar after 2 Years of Anti-VEGF Treatment for Neovascular AMD in CATT.

ABSTRACT: PURPOSE:Macular atrophy and scar increase in prevalence during treatment for neovascular age-related macular degeneration and are associated with poor visual acuity. We sought to identify the distribution of spectral-domain OCT (SD-OCT)-determined features and subretinal lesion thicknesses at sites of macular scar or atrophy after 2 years of treatment in the Comparison of Age-Related Macular Degeneration Treatments Trials (CATT). DESIGN:Cross-sectional analysis. PARTICIPANTS:CATT participants with SD-OCT, color photographic (CP) and fluorescein angiogram (FA; CP/FA) images at year 2. METHODS:Sixty-eight study eyes at year 2 in CATT were selected based on image quality and CP/FA-determined predominant presence of the following: geographic atrophy (GA, n = 25), non-GA (NGA, n = 44), fibrotic scar (FS, n = 26), or non-FS (NFS, n = 7). The CP/FA components were delineated by CP/FA readers; SD-OCT morphologic features and thicknesses were delineated by OCT readers. Using custom software and graphic user interfaces, images were registered, overlaying features and components per pixel; differences were analyzed across groups. MAIN OUTCOME MEASURES:OCT features, CP/FA components, and retinal and subretinal lesion thicknesses at each pixel of regional overlays. RESULTS:SD-OCT assessment of registered areas of pathology revealed the following: (1) retinal pigment epithelium atrophy (with or without residual lesion material) covered 75% of pixels designated as GA, 22% of NGA, 24% of NFS, and 46% of FS (P < 0.001). (2) Photoreceptor layer thinning covered 85% of GA, 42% of NGA, 33% of NFS, and 59% of FS (P < 0.001). (3) Subretinal lesion features covered 31% of GA, 42% of NGA, 85% of NFS, and 92% of FS (P < 0.001). Mean thickness of the subretinal lesion complex (measured in microns ± standard deviation) differed among GA (48±25 ?m), NGA (61±35 ?m), NFS (83±17 ?m), and FS (151±74 ?m) (P < 0.001). In eyes with GA, the thickness was greater in areas with residual lesion (51.4±27 ?m) than in those without (27.2±9 ?m). CONCLUSIONS:Retinal pigment epithelium atrophy and photoreceptor layer thinning are common not only in areas of macular atrophy but also in areas of FS. Photoreceptor loss extends beyond the areas of clinically apparent atrophy and FS. Subretinal lesion components were common in areas of scar, but they were also present in nearly one-third or more of areas of macular atrophy.

SUBMITTER: Toth CA

PROVIDER: S-EPMC6482846 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Distribution of OCT Features within Areas of Macular Atrophy or Scar after 2 Years of Anti-VEGF Treatment for Neovascular AMD in CATT.

Toth Cynthia A CA Tai Vincent V Pistilli Maxwell M Chiu Stephanie J SJ Winter Katrina P KP Daniel Ebenezer E Grunwald Juan E JE Jaffe Glenn J GJ Martin Daniel F DF Ying Gui-Shuang GS Farsiu Sina S Maguire Maureen G MG

Ophthalmology. Retina 20181203 4

<h4>Purpose</h4>Macular atrophy and scar increase in prevalence during treatment for neovascular age-related macular degeneration and are associated with poor visual acuity. We sought to identify the distribution of spectral-domain OCT (SD-OCT)-determined features and subretinal lesion thicknesses at sites of macular scar or atrophy after 2 years of treatment in the Comparison of Age-Related Macular Degeneration Treatments Trials (CATT).<h4>Design</h4>Cross-sectional analysis.<h4>Participants</h ...[more]

PMID: 31014683

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Project description:PurposeNo established biomarkers currently exist for therapeutic efficacy and durability of anti-VEGF therapy in neovascular age-related macular degeneration (nAMD). This study evaluated radiomic-based quantitative OCT biomarkers that may be predictive of anti-VEGF treatment response and durability.DesignAssessment of baseline biomarkers using machine learning (ML) classifiers to predict tolerance to anti-VEGF therapy.ParticipantsEighty-one participants with treatment-naïve nAMD from the OSPREY study, including 15 super responders (patients who achieved and maintained retinal fluid resolution) and 66 non-super responders (patients who did not achieve or maintain retinal fluid resolution).MethodsA total of 962 texture-based radiomic features were extracted from fluid, subretinal hyperreflective material (SHRM), and different retinal tissue compartments of OCT scans. The top 8 features, chosen by the minimum redundancy maximum relevance feature selection method, were evaluated using 4 ML classifiers in a cross-validated approach to distinguish between the 2 patient groups. Longitudinal assessment of changes in different texture-based radiomic descriptors (delta-texture features) between baseline and month 3 also was performed to evaluate their association with treatment response. Additionally, 8 baseline clinical parameters and a combination of baseline OCT, delta-texture features, and the clinical parameters were evaluated in a cross-validated approach in terms of association with therapeutic response.Main outcome measuresThe cross-validated area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity were calculated to validate the classifier performance.ResultsThe cross-validated AUC by the quadratic discriminant analysis classifier was 0.75 ± 0.09 using texture-based baseline OCT features. The delta-texture features within different OCT compartments between baseline and month 3 yielded an AUC of 0.78 ± 0.08. The baseline clinical parameters sub-retinal pigment epithelium volume and intraretinal fluid volume yielded an AUC of 0.62 ± 0.07. When all the baseline, delta, and clinical features were combined, a statistically significant improvement in the classifier performance (AUC, 0.81 ± 0.07) was obtained.ConclusionsRadiomic-based quantitative assessment of OCT images was shown to distinguish between super responders and non-super responders to anti-VEGF therapy in nAMD. The baseline fluid and SHRM delta-texture features were found to be most discriminating across groups.

Project description:PurposeThe goal of this study was to evaluate the role of texture-based baseline radiomic features (Fr) and dynamic radiomics alterations (delta, FΔr) within multiple targeted compartments on optical coherence tomography (OCT) scans to predict response to anti-vascular endothelial growth factor (VEGF) therapy in neovascular age-related macular degeneration (nAMD).MethodsHAWK is a phase 3 clinical trial data set of active nAMD patients (N = 1082) comparing brolucizumab and aflibercept. This analysis included patients receiving 6 mg brolucizumab or 2 mg aflibercept and categorized as complete responders (n = 280) and incomplete responders (n = 239) based on whether or not the eyes achieved/maintained fluid resolution on OCT. A total of 481 Fr were extracted from each of the fluid, subretinal hyperreflective material (SHRM), retinal tissue, and sub-retinal pigment epithelium (RPE) compartments. Most discriminating eight baseline features, selected by the minimum redundancy, maximum relevance feature selection, were evaluated using a quadratic discriminant analysis (QDA) classifier on the training set (Str, n = 363) to differentiate between the two patient groups. Classifier performance was subsequently validated on independent test set (St, n = 156).ResultsIn total, 519 participants were included in this analysis from the HAWK phase 3 study. There were 280 complete responders and 219 incomplete responders. Compartmental analysis of radiomics featured identified the sub-RPE and SHRM compartments as the most distinguishing between the two response groups. The QDA classifier yielded areas under the curve of 0.78, 0.79, and 0.84, respectively, using Fr, FΔr, and combined Fr, FΔr, and Fc on St.ConclusionsUtilizing compartmental static and dynamic radiomics features, unique differences were identified between eyes that respond differently to anti-VEGF therapy in a large phase 3 trial that may provide important predictive value.Translational relevanceImaging biomarkers, such as radiomics features identified in this analysis, for predicting treatment response are needed to enhanced precision medicine in the management of nAMD.

Project description:PurposeTo evaluate the pharmacogenetic relationship between genotypes of single nucleotide polymorphisms (SNPs) known to be associated with age-related macular degeneration (AMD) and response to treatment with ranibizumab (Lucentis; Genentech, South San Francisco, CA) or bevacizumab (Avastin; Genentech) for neovascular AMD.DesignClinical trial.ParticipantsEight hundred thirty-four (73%) of 1149 patients participating in the Comparison of AMD Treatments Trials (CATT) were recruited through 43 CATT clinical centers.MethodsEach patient was genotyped for SNPs rs1061170 (CFH), rs10490924 (ARMS2), rs11200638 (HTRA1), and rs2230199 (C3), using TaqMan SNP genotyping assays (Applied Biosystems, Foster City, CA).Main outcomes measuresGenotypic frequencies were compared with clinical measures of response to therapy at one year, including mean visual acuity (VA), mean change in VA, 15-letter or more increase in VA, retinal thickness, mean change in total foveal thickness, presence of fluid on OCT, presence of leakage on fluorescein angiography (FA), mean change in lesion size, and mean number of injections administered. Differences in response by genotype were evaluated with tests of linear trend calculated from logistic regression models for categorical outcomes and linear regression models for continuous outcomes. To adjust for multiple comparisons, P?0.01 was considered statistically significant.ResultsNo statistically significant differences in response by genotype were identified for any of the clinical measures studied. Specifically, there were no high-risk alleles that predicted final VA or change in VA, the degree of anatomic response (fluid on OCT or FA, retinal thickness, change in total foveal thickness, change in lesion size), or the number of injections. Furthermore, a stepwise analysis failed to show a significant epistatic interaction among the variants analyzed; that is, response did not vary by the number of risk alleles present. The lack of association was similar whether patients were treated with ranibizumab or bevacizumab or whether they received monthly or pro re nata dosing.ConclusionsAlthough specific alleles for CFH, ARMS2, HTRA1, and C3 may predict the development of AMD, they did not predict response to anti-vascular endothelial growth factor therapy.

Project description:PurposeApplication of artificial intelligence (AI) to macular OCT scans to segment and quantify volumetric change in anatomical and pathological features during intravitreal treatment for neovascular age-related macular degeneration (AMD).DesignRetrospective analysis of OCT images from the Moorfields Eye Hospital AMD Database.ParticipantsA total of 2115 eyes from 1801 patients starting anti-VEGF treatment between June 1, 2012, and June 30, 2017.MethodsThe Moorfields Eye Hospital neovascular AMD database was queried for first and second eyes receiving anti-VEGF treatment and had an OCT scan at baseline and 12 months. Follow-up scans were input into the AI system and volumes of OCT variables were studied at different time points and compared with baseline volume groups. Cross-sectional comparisons between time points were conducted using Mann-Whitney U test.Main outcome measuresVolume outputs of the following variables were studied: intraretinal fluid, subretinal fluid, pigment epithelial detachment (PED), subretinal hyperreflective material (SHRM), hyperreflective foci, neurosensory retina, and retinal pigment epithelium.ResultsMean volumes of analyzed features decreased significantly from baseline to both 4 and 12 months, in both first-treated and second-treated eyes. Pathological features that reflect exudation, including pure fluid components (intraretinal fluid and subretinal fluid) and those with fluid and fibrovascular tissue (PED and SHRM), displayed similar responses to treatment over 12 months. Mean PED and SHRM volumes showed less pronounced but also substantial decreases over the first 2 months, reaching a plateau postloading phase, and minimal change to 12 months. Both neurosensory retina and retinal pigment epithelium volumes showed gradual reductions over time, and were not as substantial as exudative features.ConclusionsWe report the results of a quantitative analysis of change in retinal segmented features over time, enabled by an AI segmentation system. Cross-sectional analysis at multiple time points demonstrated significant associations between baseline OCT-derived segmented features and the volume of biomarkers at follow-up. Demonstrating how certain OCT biomarkers progress with treatment and the impact of pretreatment retinal morphology on different structural volumes may provide novel insights into disease mechanisms and aid the personalization of care. Data will be made public for future studies.Financial disclosuresProprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Dataset Information

Distribution of OCT Features within Areas of Macular Atrophy or Scar after 2 Years of Anti-VEGF Treatment for Neovascular AMD in CATT.

Publications

Distribution of OCT Features within Areas of Macular Atrophy or Scar after 2 Years of Anti-VEGF Treatment for Neovascular AMD in CATT.

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