Correlation between central subfield thickness, visual acuity and structural changes in diabetic macular edema

Optical coherence tomography in the management of diabetic macular oedema

Diabetic macular oedema (DMO) is the major cause of visual impairment in people with diabetes. Optical coherence tomography (OCT) is now the most widely used modality to assess presence and severity of DMO. DMO is currently broadly classified based on the involvement to the central 1 mm of the macula into non-centre or centre involved DMO (CI-DMO) and DMO can occur with or without visual acuity (VA) loss. This classification forms the basis of management strategies of DMO. Despite years of research on quantitative and qualitative DMO related features assessed by OCT, these do not fully inform physicians of the prognosis and severity of DMO relative to visual function. Having said that, recent research on novel OCT biomarkers development and re-defined classification of DMO show better correlation with visual function and treatment response. This review summarises the current evidence of the association of OCT biomarkers in DMO management and its potential clinical importance in predicting VA and anatomical treatment response. The review also discusses some future directions in this field, such as the use of artificial intelligence to quantify and monitor OCT biomarkers and retinal fluid and identify phenotypes of DMO, and the need for standardisation and classification of OCT biomarkers to use in future clinical trials and clinical practice settings as prognostic markers and secondary treatment outcome measures in the management of DMO.

Clinically Labeled Contrastive Learning for OCT Biomarker Classification

This article presents a novel positive and negative set selection strategy for contrastive learning of medical images based on labels that can be extracted from clinical data. In the medical field, there exists a variety of labels for data that serve different purposes at different stages of a diagnostic and treatment process. Clinical labels and biomarker labels are two examples. In general, clinical labels are easier to obtain in larger quantities because they are regularly collected during routine clinical care, while biomarker labels require expert analysis and interpretation to obtain. Within the field of ophthalmology, previous work has shown that clinical values exhibit correlations with biomarker structures that manifest within optical coherence tomography (OCT) scans. We exploit this relationship by using the clinical data as pseudo-labels for our data without biomarker labels in order to choose positive and negative instances for training a backbone network with a supervised contrastive loss. In this way, a backbone network learns a representation space that aligns with the clinical data distribution available. Afterwards, we fine-tune the network trained in this manner with the smaller amount of biomarker labeled data with a cross-entropy loss in order to classify these key indicators of disease directly from OCT scans. We also expand on this concept by proposing a method that uses a linear combination of clinical contrastive losses. We benchmark our methods against state of the art self-supervised methods in a novel setting with biomarkers of varying granularity. We show performance improvements by as much as 5% in total biomarker detection AUROC.

Multi-ancestry GWAS analysis identifies two novel loci associated with diabetic eye disease and highlights APOL1 as a high risk locus in patients with diabetic macular edema

Diabetic retinopathy (DR) is a common complication of diabetes. Approximately 20% of DR patients have diabetic macular edema (DME) characterized by fluid leakage into the retina. There is a genetic component to DR and DME risk, but few replicable loci. Because not all DR cases have DME, we focused on DME to increase power, and conducted a multi-ancestry GWAS to assess DME risk in a total of 1,502 DME patients and 5,603 non-DME controls in discovery and replication datasets. Two loci reached GWAS significance (p<5x10-8). The strongest association was rs2239785, (K150E) in APOL1. The second finding was rs10402468, which co-localized to PLVAP and ANKLE1 in vascular / endothelium tissues. We conducted multiple sensitivity analyses to establish that the associations were specific to DME status and did not reflect diabetes status or other diabetic complications. Here we report two novel loci for risk of DME which replicated in multiple clinical trial and biobank derived datasets. One of these loci, containing the gene APOL1, is a risk factor in African American DME and DKD patients, indicating that this locus plays a broader role in diabetic complications for multiple ancestries. Trial Registration: NCT00473330, NCT00473382, NCT03622580, NCT03622593, NCT04108156.

Accelerated Epigenetic Aging Is Associated With Multiple Cardiometabolic, Hematologic, and Renal Abnormalities: A Project Baseline Health Substudy

BACKGROUND

Epigenetic clocks estimate chronologic age using methylation levels at specific loci. We tested the hypothesis that accelerated epigenetic aging is associated with abnormal values in a range of clinical, imaging, and laboratory characteristics.

METHODS

The Project Baseline Health Study recruited 2502 participants, including 1661 with epigenetic age estimates from the Horvath pan-tissue clock. We classified individuals with extreme values as having epigenetic age acceleration (EAA) or epigenetic age deceleration. A subset of participants with longitudinal methylation profiling was categorized as accelerated versus nonaccelerated. Using principal components analysis, we created phenoclusters using 122 phenotypic variables and compared individuals with EAA versus epigenetic age deceleration, and at one year of follow-up, using logistic regression models adjusted for sex (false discovery rate [Q] <0.10); in secondary exploratory analyses, we tested individual clinical variables.

RESULTS

The EAA (n=188) and epigenetic age deceleration (n=195) groups were identified as having EAA estimates ≥5 years or ≤-5 years, respectively. In primary analyses, individuals with EAA had higher values for phenoclusters summarizing lung function and lipids, and lower values for a phenocluster representing physical function. In secondary analyses of individual variables, neutrophils, body mass index, and waist circumference were significantly higher in individuals with EAA (Q<0.10). No phenoclusters were significantly different between participants with accelerated (n=148) versus nonaccelerated (n=112) longitudinal aging.

CONCLUSIONS

We report multiple cardiometabolic, hematologic, and physical function features characterizing individuals with EAA. These highlight factors that may mediate the adverse effects of aging and identify potential targets for study of mitigation of these effects.

REGISTRATION

URL: https://www.

CLINICALTRIALS

gov; Unique identifier: NCT03154346.

Fluctuations in macular thickness in patients with diabetic macular oedema treated with anti-vascular endothelial growth factor agents

PURPOSE

To evaluate retinal thickness fluctuations in patients with diabetic macular oedema (DMO) treated with anti-vascular endothelial growth factor (anti-VEGF) injections.

METHODS

Visual acuity (VA) and central subfield thickness (CST) were collected at baseline, 3, 6, 9 and 12 months. Retinal thickness fluctuation was quantified by standard deviation (SD) of CST across 12 months. A mixed effects regression model evaluated the relationship between CST SD and VA at 12 months. Multiple linear regression analysis was performed to investigate predictors of CST SD.

RESULTS

Mean baseline and 12-month VAs were 63.5 ± 15.7 and 69.0 ± 13.8 Early Treatment of Diabetic Retinopathy Study (ETDRS) letters (change = +5.1 ± 16.1 letters, p < 0.001). Mean baseline and 12-month CSTs were 396.9 ± 109.7 and 337.7 ± 100.7 μm (change = -59.2 ± 114.8 μm, p < 0.001). Retinal thickness variability across the first 12 months was 59.4 ± 43.6 μm. Stratification of patient eyes by CST SD demonstrated 9.7 letters difference in 12-month VA between first and fourth quartiles. Significant predictors of CST SD include baseline CST, injection type, laser treatment, and DR stage.

CONCLUSIONS

Larger retinal thickness fluctuations are associated with poorer visual outcomes in eyes with DMO treated with anti-VEGF injections. Retinal thickness variability may be an important prognostic biomarker for DMO patients.

Optical Coherence Tomography Classification Systems for Diabetic Macular Edema and Their Associations With Visual Outcome and Treatment Responses - An Updated Review

ABSTRACT

Optical coherence tomography (OCT) is an invaluable imaging tool in detecting and assessing diabetic macular edema (DME). Over the past decade, there have been different proposed OCT-based classification systems for DME. In this review, we present an update of spectral-domain OCT (SDOCT)-based DME classifications over the past 5 years. In addition, we attempt to summarize the proposed OCT qualitative and quantitative parameters from different classification systems in relation to disease severity, risk of progression, and treatment outcome. Although some OCT-based measurements were found to have prognostic value on visual outcome, there has been a lack of consensus or guidelines on which parameters can be reliably used to predict treatment outcomes. We also summarize recent literatures on the prognostic value of these parameters including quantitative measures such as macular thickness or volume, central subfield thickness or foveal thickness, and qualitative features such as the morphology of the vitreoretinal interface, disorganization of retinal inner layers, ellipsoid zone disruption integrity, and hyperreflec-tive foci. In addition, we discuss that a framework to assess the validity of biomarkers for treatment outcome is essentially important in assessing the prognosis before deciding on treatment in DME. Finally, we echo with other experts on the demand for updating the current diabetic retinal disease classification.

Indicators of Visual Prognosis in Diabetic Macular Oedema

Diabetic macular oedema (DMO) is an important cause of moderate vision loss in people with diabetes. Advances in imaging technology have shown that a significant proportion of patients with DMO respond sub-optimally to existing treatment options. Identifying associations and predictors of response before treatment is initiated may help in explaining visual prognosis to patients and aid the development of personalized treatment strategies. Imaging features, such as central subfoveal thickness, photoreceptor integrity, disorganization of retinal inner layers, choroidal changes, and macular perfusion, have been reported to be prognostic factors of visual acuity (VA) in DMO. In this review we evaluated each risk factor to understand their relative importance in visual prognostication of DMO eyes post-treatment. Although individually, some of these factors may not be significant predictors, in combination they may form phenotypes that can inform visual prognosis. Stratification based on these phenotypes needs to be developed to progress to personalized medicine for DMO.

An International Comparison of Baseline Characteristics of Patients Undergoing Initiation of Anti-VEGF Therapy for DME

BACKGROUND AND OBJECTIVE

Diabetic macular edema (DME) is a leading cause of vision loss worldwide. The object of this study is to compare global differences of baseline characteristics of patients undergoing initiation of anti-vascular endothelial growth factor (VEGF) therapy for DME.

PATIENTS AND METHODS

This multicenter, cross-sectional study included diabetic patients with foveal-involving retinal edema secondary to DME as documented by fundus exam and optical coherence tomography who were undergoing initiation of intravitreal anti-VEGF drugs. Variables were collected to find possible risk factors and to create an epidemiological profile of DME patients undergoing initiation of anti-VEGF agents.

RESULTS

Nine hundred two patients were selected. Mean age was 62.4 (±11) years, 49.7% were Caucasians, 57.6% were male, and 96% had type two diabetes with an average disease duration of 181.7 months ± 113 months. Of the patients included, 74.7% suffered from hypertension, 26.6% from cardiovascular disease, 12.1% from cerebrovascular disease, 12.8% from peripheral vascular disease, and 12.8% from renal insufficiency. Best-corrected visual acuity (BCVA) was 65 (±20) Early Treatment Diabetic Retinopathy Study letters, central subfield thickness was 364 (±162) μm, cube volume 11.1 ± 3.1 mm³, cube average thickness 328.8 μm ± 61 μm, and 63.9% had nonproliferative diabetic retinopathy. Comparison between U.S. versus international patients, and patients with BCVA 70 letters or less versus more than 70 letters were performed, significant differences were acknowledged, and risk factors were recognized.

CONCLUSION

There were key differences in the epidemiologic profile between patients presenting with DME in the U.S. and internationally. [Ophthalmic Surg Lasers Imaging Retina. 2019;50:e300-e310.].

OUTER RETINAL LAYER THICKNESS AS GOOD VISUAL PREDICTOR IN PATIENTS WITH DIABETIC MACULAR EDEMA

PURPOSE

To evaluate the relationship between outer retinal layer (ORL) thickness in diabetic macular edema to visual acuity (VA).

METHODS

Ninety-five eyes were included in this prospective nonrandomized case-control study. They divided into 30 cases of healthy normal subjects and 65 cases of nonproliferative diabetic retinopathy with diabetic macular edema. Complete ophthalmic examination and spectral domain-optical coherence tomography were done for all cases and analyzed to measure central foveal point thickness (CFT), ORL thickness at fovea, and subfoveal choroidal thickness.

RESULTS

The ORL thickness was significantly thinner in diabetic macular edema group (85.3 μm) than controls (99.9 μm) (P = 0.002). There was higher significant correlation between ORL thickness and logMAR VA (r = -0.87, P < 0.001) than correlation between CFT and VA (r = 0.18, P = 0.16). The cutoff point of the relationship between ORL thickness and VA was 88 μm with moderate sensitivity (81%) and high specificity (88%), below which vision is affected. Outer retinal layer thickness is significantly related to subfoveal choroidal thickness but not CFT.

CONCLUSION

This study revealed reduction in ORL thickness in diabetic macular edema. There is a higher and stronger correlation between ORL thickness and vision than that between CFT and vision.

CORRELATION BETWEEN CENTRAL FOVEAL THICKNESS AND VISUAL ACUITY IN PATIENTS WITH IDIOPATHIC VITREOMACULAR TRACTION

PURPOSE

To evaluate the impact of preoperative central foveal thickness (CFT) on visual acuity after surgery in patients with idiopathic vitreomacular traction and to calculate a cut-off value in preoperative CFT.

METHODS

Thirty-five patients with idiopathic vitreomacular traction were evaluated retrospectively. A complete ophthalmological examination including spectral domain optical coherence tomography was performed preoperatively and at 12 months after the surgery. Receiver operating characteristic analysis was used to determine the critical point for the CFT associated with improvement of 10 or more letters in visual acuity on the Early Treatment Diabetic Retinopathy Study.

RESULTS

Among 35 patients, the mean CFT at postoperative 12 months was significantly decreased from baseline (P = 0.001). Preoperative CFT and visual improvement were not significantly correlated (r = -0.090, P = 0.605), whereas preoperative CFT and preoperative visual acuity were significantly correlated (r = 0.757, P < 0.001). Improvement in CFT and visual improvement were also correlated significantly (r = 0.449, P = 0.007). According to the receiver operating characteristic analysis, the threshold CFT was 471 μm. When 15 patients with CFT thickness under 471 μm were evaluated, preoperative CFT was significantly correlated with improvement in visual acuity after the surgery (r = 0.561, P = 0.030).

CONCLUSION

Preoperative CFT is important for the visual prognosis of patients with vitreomacular traction. Preoperative CFT of these patients should be considered in surgical decisions.

Optical coherence tomography (OCT) for detection of macular oedema in patients with diabetic retinopathy

BACKGROUND

Diabetic macular oedema (DMO) is a thickening of the central retina, or the macula, and is associated with long-term visual loss in people with diabetic retinopathy (DR). Clinically significant macular oedema (CSMO) is the most severe form of DMO. Almost 30 years ago, the Early Treatment Diabetic Retinopathy Study (ETDRS) found that CSMO, diagnosed by means of stereoscopic fundus photography, leads to moderate visual loss in one of four people within three years. It also showed that grid or focal laser photocoagulation to the macula halves this risk. Recently, intravitreal injection of antiangiogenic drugs has also been used to try to improve vision in people with macular oedema due to DR.Optical coherence tomography (OCT) is based on optical reflectivity and is able to image retinal thickness and structure producing cross-sectional and three-dimensional images of the central retina. It is widely used because it provides objective and quantitative assessment of macular oedema, unlike the subjectivity of fundus biomicroscopic assessment which is routinely used by ophthalmologists instead of photography. Optical coherence tomography is also used for quantitative follow-up of the effects of treatment of CSMO.

OBJECTIVES

To determine the diagnostic accuracy of OCT for detecting DMO and CSMO, defined according to ETDRS in 1985, in patients referred to ophthalmologists after DR is detected. In the update of this review we also aimed to assess whether OCT might be considered the new reference standard for detecting DMO.

SEARCH METHODS

We searched the Cochrane Database of Systematic Reviews (CDSR), the Database of Abstracts of Reviews of Effects (DARE), the Health Technology Assessment Database (HTA) and the NHS Economic Evaluation Database (NHSEED) (The Cochrane Library 2013, Issue 5), Ovid MEDLINE, Ovid MEDLINE In-Process and Other Non-Indexed Citations, Ovid MEDLINE Daily, Ovid OLDMEDLINE (January 1946 to June 2013), EMBASE (January 1950 to June 2013), Web of Science Conference Proceedings Citation Index - Science (CPCI-S) (January 1990 to June 2013), BIOSIS Previews (January 1969 to June 2013), MEDION and the Aggressive Research Intelligence Facility database (ARIF). We did not use any date or language restrictions in the electronic searches for trials. We last searched the electronic databases on 25 June 2013. We checked bibliographies of relevant studies for additional references.

SELECTION CRITERIA

We selected studies that assessed the diagnostic accuracy of any OCT model for detecting DMO or CSMO in patients with DR who were referred to eye clinics. Diabetic macular oedema and CSMO were diagnosed by means of fundus biomicroscopy by ophthalmologists or stereophotography by ophthalmologists or other trained personnel.

DATA COLLECTION AND ANALYSIS

Three authors independently extracted data on study characteristics and measures of accuracy. We assessed data using random-effects hierarchical sROC meta-analysis models.

MAIN RESULTS

We included 10 studies (830 participants, 1387 eyes), published between 1998 and 2012. Prevalence of CSMO was 19% to 65% (median 50%) in nine studies with CSMO as the target condition. Study quality was often unclear or at high risk of bias for QUADAS 2 items, specifically regarding study population selection and the exclusion of participants with poor quality images. Applicablity was unclear in all studies since professionals referring patients and results of prior testing were not reported. There was a specific 'unit of analysis' issue because both eyes of the majority of participants were included in the analyses as if they were independent.In nine studies providing data on CSMO (759 participants, 1303 eyes), pooled sensitivity was 0.78 (95% confidence interval (CI) 0.72 to 0.83) and specificity was 0.86 (95% CI 0.76 to 0.93). The median central retinal thickness cut-off we selected for data extraction was 250 µm (range 230 µm to 300 µm). Central CSMO was the target condition in all but two studies and thus our results cannot be applied to non-central CSMO.Data from three studies reporting accuracy for detection of DMO (180 participants, 343 eyes) were not pooled. Sensitivities and specificities were about 0.80 in two studies and were both 1.00 in the third study.Since this review was conceived, the role of OCT has changed and has become a key ingredient of decision-making at all levels of ophthalmic care in this field. Moreover, disagreements between OCT and fundus examination are informative, especially false positives which are referred to as subclinical DMO and are at higher risk of developing clinical CSMO.

AUTHORS' CONCLUSIONS

Using retinal thickness thresholds lower than 300 µm and ophthalmologist's fundus assessment as reference standard, central retinal thickness measured with OCT was not sufficiently accurate to diagnose the central type of CSMO in patients with DR referred to retina clinics. However, at least OCT false positives are generally cases of subclinical DMO that cannot be detected clinically but still suffer from increased risk of disease progression. Therefore, the increasing availability of OCT devices, together with their precision and the ability to inform on retinal layer structure, now make OCT widely recognised as the new reference standard for assessment of DMO, even in some screening settings. Thus, this review will not be updated further.