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Review

Indicators of Visual Prognosis in Diabetic Macular Oedema

by
Sagnik Sen
1,
Kim Ramasamy
1 and
Sobha Sivaprasad
2,*
1
Department of Retina and Vitreous Services, Aravind Eye Hospital, Madurai 625020, India
2
NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital, 162, City Road, London EC1V 2PD, UK
*
Author to whom correspondence should be addressed.
J. Pers. Med. 2021, 11(6), 449; https://doi.org/10.3390/jpm11060449
Submission received: 25 April 2021 / Revised: 19 May 2021 / Accepted: 20 May 2021 / Published: 22 May 2021
(This article belongs to the Special Issue Age-Related Macular Degeneration and Diabetic Retinopathy)
Versions Notes

Abstract

:
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.

1. Introduction

Diabetic macular oedema (DMO) is the most frequent cause of moderate vision loss in people with diabetes. In 2019, there were approximately 28 million people with DMO globally [1]. For at least 40 years, patients and ophthalmologists were satisfied with the outcomes of the Early Treatment Diabetic Retinopathy Study (ETDRS) study that showed that the risk of moderate visual loss can be reduced by about 50% in laser treated individuals [2]. Over the last decade, intravitreal anti-vascular endothelial growth factor agents (anti-VEGF) have replaced macular laser and intravitreal steroids as the main treatment option for visual impairment due to centre-involving DMO (CI-DMO) [3]. Expectations of patients and providers have increased with the availability of anti-VEGF agents as approximately 50% of patients with visual impairment treated with anti-VEGF improve by two lines of visual acuity (VA) on ETDRS visual acuity charts by two years, if treated optimally [3,4]. However, DMO is not always associated with visual impairment, and some may resolve spontaneously or with treatment, while others progress to irreversible visual impairment. In this review, we evaluate the potential risk factors that can be considered in future prognostic models on visual impairment due to DMO, so that management of DMO can be personalised based on risk of visual loss. We broadly classified the prognostic factors into subjective and objective and then further grouped the imaging features into definite and possible, based on current evidence. However, the predicted visual outcome based on baseline prognostic factors may also be influenced by the drug given and treatment frequency.

2. Subjective Factors

Presenting VA

Presenting VA is a definite prognostic marker. However, there are some caveats. Firstly, ceiling effect in eyes with good VA means that change in VA is not a good indicator of visual outcome in this group and the outcome in these eyes needs to focus on prevention of visual loss. Secondly, eyes with new-onset CI-DMO do not always present with visual impairment. However, if left untreated, visual deterioration may occur in some of these eyes. In DRCR Protocol V trial, 18.6% of eyes with good vision at presentation had a reduction of VA by 10 ETDRS letters or more after an observation period of 2 years and needed injections [5]. The exact timepoint or reason for incident visual impairment in these cases and not others remain unclear. Control arms of the RISE and RIDE studies also showed that on average, patients with visual impairment due to untreated DMO can remain stable for a further two years [6]. However, this group did not attain similar VA gains when initiated on ranibizumab after two years compared to those who were initiated early, suggesting that irreversible structural changes do occur if CI-DMO is left untreated and that these are not visible on OCT or probably, these characteristic changes have been unidentifiable to date [7]. When we synthesize the results of RISE and RIDE and Protocol V together, we can conclude that eyes with CI-DMO that experience visual deterioration over the two years of observation may not gain full visual potential compared to those who were started on anti-VEGF early. Although significant emphasis is made on presenting VA, these observations reinforce that structural changes precede decreases in visual function. However, further research is required to identify the imaging phenotype of this high-risk group that might explain irreversible visual loss while being observed for deterioration of CI-DMO.
On the contrary, in DMO eyes with visual impairment of 6/12 or worse (Snellen), baseline VA is a predictor of response to anti-VEGF treatment. The RESTORE study showed that patients with poorer starting VA had greater gains in VA with ranibizumab than those with better presenting VA [8]. The post-hoc analysis of Protocol T also confirmed that the treatment effect varied according to the baseline VA, after adjusting for both VA and CST and the interactions with treatment [9]. However, in real-life studies with ranibizumab, eyes with baseline VA less than 37 letters fail to achieve good VA that met driving standards. This outcome was also noted in a study on early response to aflibercept after 3 loading injections in real-life suggesting that there are more eyes with irreversible structural changes in eyes with VA less than 37 letters [10]. Based on available evidence, early treatment with anti-VEGF agents is recommended. Waiting for visual deterioration in eyes with CI-DMO with good presenting VA in routine clinical practice is itself a poor prognostic indicator of final visual outcome.

3. Objective Factors

3.1. Optical Coherence Tomography Imaging

3.1.1. Central Subfoveal Thickness (CST)

A decrease in CST on OCT is the most reliable objective measure of anatomical treatment response of DMO. It is also the most common secondary anatomical outcome measure used to substantiate primary visual outcomes in clinical trials on interventions for DMO. However, reduction of CST does not mirror final VA outcome and is not a definite predictor of VA [11,12,13,14,15,16]. The RESTORE study shows that CST ≥ 400 µm resulted in more profound reduction of DMO with ranibizumab compared to laser, while the effects of macular laser and ranibizumab were similar in DMO eyes with CST < 400 µm [4]. However, the baseline predictors of the VIVID and VISTA study did not reveal such a cut-off. In fact, early treatment with aflibercept in eyes with CI-DME with CST < 400 µm resulted in significantly more gains in vision than those treated with laser [17]. Post-hoc analyses of RISE/RIDE and DRCR.net data suggest that continued treatment with frequent intravitreal anti-VEGF injections may improve functional outcome in non-responders who initially show suboptimal reduction of CST. These suggest that CST reduction has to be qualified with other morphological OCT features to predict visual outcome. For example, CST of similar thickness may have varying neuronal atrophy and Müller cell dysfunction that may relate better to visual outcomes [18]. Although CST is a prognostic indicator for fluid resolution in DMO, it is not a definite visual prognostic indicator.

3.1.2. Morphological Phenotypes

There are several OCT morphological phenotypes of DMO. These include diffuse retinal thickening (DRT), cystoid macular oedema (CMO) and neurosensory detachment (NSD) [19]. These may be present in isolation or in combination. These features may affect different retinal layers. For example, sponge-like DRT may be seen with cystoid spaces present in the inner nuclear layer (INL) and outer plexiform layer (OPL) [20]. The cysts in CMO may be small to large in size and display variable fluorescein angiography findings ranging from honey-combing to petaloid pooling [20,21]. The size, location and angiographic appearance of cysts do not influence visual outcome in DMO.
However, association of cysts with other OCT features determine visual outcome. Cysts that are associated with photoreceptor damage negatively affect visual outcomes [22,23,24]. In addition, cysts that cause Müller cell dysfunction or loss are also detrimental to vision [25,26,27]. Early histological studies of DMO eyes have revealed that reversible edema develops from fluid accumulation within Müller cells [28]. The number of bridges between or within large cysts also determines VA. These bridges are presumed to be composed of Müller cells and bipolar cells [29]. Chronic fluid accumulation can lead to death of Müller cells and manifest as absence of bridging tissue between inner and outer retina. Therefore, although individually large cysts do not offer any prognostic significance, cysts in combination with ellipsoid zone loss or large cysts with lack of intervening bridges carry poor prognosis [30,31,32]. Large central cysts may also be a sign of macular ischaemia [33,34] but it is not a definite prognostic factor. Therefore, when we consider a prognostic model on cystoid spaces, the presence of large cysts with less bridging between inner and outer retina, foveal cysts, cysts with hyper-reflective material or hyper-reflective wall are all possible poor visual prognostic indicators [35,36,37].
Subretinal fluid (SRF) accumulation has been reported to be present in 15–30% of eyes with DMO [38]. The presence of NSD correlates with higher choroidal thickness, more hyperreflective foci, external limiting membrane (ELM) disruption but there are insufficient data to suggest that NSD is a visual prognostic marker.

3.1.3. Photoreceptor Integrity

Photoreceptors may be affected by the overlying capillary non-perfusion or continual fluid accumulation can secondarily affect the outer layers [39,40]. Enhanced resolution of OCT has enabled distinct imaging of the photoreceptor inner segment/outer segment (IS/OS) junction, now known as the ellipsoid zone (EZ) [41]. The EZ marks the increased mitochondrial content in the photoreceptor inner segment ellipsoid, critical to photoreceptor function [41,42]. It is now understood that EZ discontinuity (loss of outer segments) precedes disruption of ELM (loss of photoreceptor cell bodies), EZ loss being representative of extensive photoreceptor cell body damage, with poorer visual prognosis [41,42]. The relative importance of ELM and EZ in preserving VA is unclear. An important consideration with the growing literature regarding the EZ is how to objectively and consistently evaluate disruption. Few studies have analyzed the percentage disruption of each layer, few have classified the EZ disruption into less than or more than 200 microns, while others have merely comment on the integrity [42,43,44,45]. Considering all the evidence on the effect of outer retinal changes on OCT on visual outcome, it can be concluded that a visible sub-foveal loss of ellipsoid layer or ELM and the percentage disruption are definite poor visual prognostic indicators [46,47,48,49,50].
Microperimetry data have revealed that loss of EZ may lead to 3.28 dB reduction in retinal sensitivity [51]. Some authors have found correlation between EZ disruption and significant reduction of macular sensitivity in DMO eyes. Wang et al. have reported the macular integrity index (MI) as a useful benchmark of reflecting functional status in DMO [52]. MI denotes the percentage of threshold drop to measure local functional deterioration, and has been found to be significantly and independently correlated with EZ disruption. However, one should bear in mind that visualisation of EZ and ELM in eyes with gross oedema may be challenging. Hence, the presence of subfoveal intact EZ and ELM are definite good prognostic indicators but their absence in the presence of gross oedema may not be a poor prognostic indicator and it is prudent to wait for fluid resolution before commenting on the integrity of EZ and ELM in these eyes.

3.1.4. Intraretinal Hyperreflective Foci/Dots

Dot-like hyperreflective lesions within retinal layers have been described in OCT of DMO eyes, known as hyperreflective foci or dots (HRF/ HRD). These HRF have been proposed as lipoprotein exudates which pass into the interstitium after a breach in the inner blood-retinal barrier, and may possibly be precursors of hard exudates [53,54]. Hyperreflective foci may also indicate damaged photoreceptors and retinal pigment epithelium hyperplasia or metaplasia in other retinal diseases [54,55]. HRF are seen to be present initially in the inner retinal layers, from where they migrate into the outer layers. Subretinal HRF may end up as subfoveal hard exudates after resolution of NSD [56]. HRF present inside retinal cysts or lining cyst borders are believed to correspond to an advanced morphologic pattern of DMO which may be refractory to treatments [57,58]. Overall, HRF are believed to represent markers of inflammation in the retina [59].
A reduction of HRF has been seen with anti-VEGF injections [37,60]. The association of HRF and VA is controversial [53,60,61,62,63,64]. Whilst some reports suggest that eyes with HRF should be treated with intravitreal steroids, others have found similar response to either anti-VEGF or steroid. HRF responsive to anti-VEGF agents may be seen predominantly in the inner retinal layers; it has been proposed that the outer retinal layer HRFs may actually be a different entity. Anti-VEGF responsive inner retinal HRFs have been proposed to be of microglial origin [21,65]. On the contrary, the outer retinal HRFs, which are probable precursors of hard exudates, may not regress with treatment [56,66,67,68].
In summary, HRFs seem to be a bridge between the subclinical breakdown of the inner blood–retina barrier and the clinical swelling of retinal layers, and may indicate microvascular damage. However, more research is required to understand its relevance as a visual prognostic indicator [69]. Moreover, different reports have defined HRF based on their reflectivity either similar to the retinal pigment epithelium or to the surrounding tissue, and there is a need for standardization of the same [61,70].

3.1.5. Disorganization of Retinal Inner Layers

Disorganization of inner retinal layers (DRIL) is believed to be a secondary morphological change of the retina when the synaptic connections in the bipolar, horizontal and amacrine cells are affected, leading to loss of transmission between the inner retina and outer retina [71]. In DMO, both ischaemia and inflammation may lead to neuronal and glial degeneration that result in DRIL [72,73]. Visual outcome depends on the intactness and organization of retinal pathways, and the presence of DRIL may be an indirect measure of intactness of the local neural connections in the retina. Unlike other OCT based morphological parameters of the inner retina that do not correlate well with functional outcomes, DRIL is a better predictor of visual outcome [20].
DRIL has been proposed as a robust and surrogate biomarker of visual function in existing or resolved DMO [71,74]. DRIL may not be specific for DR or DMO, and may be a common response to retinal stress in presence of ischaemia. However, it may not always be associated with poor prognosis, highlighting that there may be further ultrastructural changes within DRIL that may more accurately define visual outcome. The presence of DRIL may also be associated with other OCT changes like EZ and ELM disruption, enlarged foveal avascular zone (FAZ) on OCTA. DRIL is associated with other functional changes including subnormal multifocal electroretinogram, impaired contrast sensitivity and visual field tests [75,76,77,78,79,80,81].
DRIL at the parafoveal area may be associated with a worse baseline VA in DMO eyes. Presence of DRIL at initiation of treatment, new-onset DRIL or increase in DRIL have all been reported as poor prognostic indicator of visual outcome in DMO eyes [71,82,83]. Recently, authors have noted that for each 100-μm increase in DRIL, there is a reduction in VA by approximately six letters, that is more than one line on the ETDRS chart [84]. The baseline volume of the intraretinal fluid in DMO may also show positive correlation with DRIL, along with poorer final VA after treatment with bevacizumab [85]. More importantly, DRIL may reverse with anti-VEGF treatment and the amount of change over initial few months may affect the final VA, independent of CST [71,79,82,85].
It is important that DRIL reversal be re-examined. However, these findings show that there may be a minimum area of DRIL required before visual function is affected. Reversal of DRIL is suggestive of decompression of the retina or realignment of neuronal and glial cells after transient disorganization in DMO. The definition or grading of DRIL in eyes with DMO may be challenging. Previous studies have assessed DRIL using SDOCT imaging via a Heidelberg Spectralis system (Heidelberg Engineering, Heidelberg, Germany), using a standard imaging protocol of 49 B-scans spanning a 20 × 20 frame in high-resolution mode [79]. Investigators have observed good correlations among DRIL and other OCT variables on different OCT platforms [86]. Understanding the variability in estimation of DRIL extent and ways to measure the reversal of DRIL may help us set meaningful thresholds in regard to its correlation with functional outcomes in DMO eyes. In summary, the presence of parafoveal DRIL is a definite poor visual prognostic indicator.

3.1.6. Choroid

There are contradicting reports on the changes in choroidal thickness and DMO. Firstly, investigators have shown increased choroidal thickness in DMO in keeping with the fact that choroidal vasculature is dependent on VEGF [87]. A higher choroidal thickness at baseline and its response to anti-VEGF may be a surrogate for good response to treatment [88]. Conversely, a thick choroid post anti-VEGF may also indicate an eye that is a poor responder to anti-VEGF and an indicator of chronicity of DMO. However, thick choroid is not an indicator for DMO recurrence or higher number of injections [89]. On the contrary, other investigators have suggested that choroidal blood volume, flow and velocity decreases in diabetic eyes with DMO, which may lead to hypoxia of the outer retina, thereby leading to increase in VEGF levels [90,91,92]. The choroid in DMO is also not affected by systemic factors such as increased HbA1c, blood pressure, cholesterol or abnormal renal function [93]. At the present time, there is insufficient evidence to suggest that changes in central choroidal thickness, subfoveal choroidal thickness or choroidal vascularity index influence visual outcome in DMO [94,95,96,97,98,99,100,101,102,103,104].

3.2. OCT-Angiography

Optical coherence tomography angiography (OCTA) is a noninvasive technique by which signals detected from blood flow in retinal and choroidal vasculature can be used to yield blood flow maps and quantify retinal perfusion in all vascular layers of the retina and the choroid [105]. Currently, the delineation of the capillary plexuses is done automatically by each OCTA software into the superior capillary plexus (SCP) which is embedded in the ganglion cell layer and nerve fiber layer, the deep capillary plexus (DCP) in the inner nuclear layer, and the choriocapillaris (CC).
Macular oedema may affect the reproducibility and effectiveness of OCTA in the measurement of FAZ area, perimeter and circularity, flow in CC and vascular density (VD) indices, especially in DCP [106,107]. Non-perfusion areas in DCP with VD reduction and flow-voids in CC layer correspond to photoreceptor/ellipsoid zone disruption in macular ischemia cases [108,109,110]. If the resolution of DMO persists for over 12 months, photoreceptors may show long-term recovery along with improved visual outcome, especially in eyes which have better baseline DCP integrity [111]. Thus, baseline VD of DCP is a predictor of photoreceptor recovery (ellipsoid zone integrity) and subsequent visual outcome. Moreover, areas of ischemia or capillary dropouts on OCTA may correspond to areas of lower macular sensitivity on microperimetry [112]. DMO eyes may have more microaneurysms (MA) in both the capillary layers, with poor responders to anti-VEGF showing more MAs in DCP [113,114]. The significance of the location of MAs in SCP versus DCP is unclear. However, as DCP also contributes to the blood supply of the photoreceptor layer, MAs in the DCP may be associated with loss of outer retinal integrity compared to MAs in SCP, which is associated with poorer visual outcomes. However, further research is required in this area [115,116,117].
RISE/RIDE study data suggest that anti-VEGF is efficacious in DMO irrespective of macular perfusion status at baseline [118]. There is no difference in VD of SCP and DCP in both treatment responders and non-responders in DMO, and there is no correlation between treatment response and baseline or final VD, suggesting that macular perfusion may not be a predictor of treatment response [119]. A higher resolution of DCP is required to evaluate if changes in DCP may be used as a prognostic marker for anti-VEGF responsiveness in DMO eyes [111].
The role of macular perfusion in final visual prognosis is certain but the best parameter to measure macular perfusion on OCT-A remains to be understood.

3.3. Colour Fundus Photography

The association of baseline diabetic retinopathy severity score (DRSS) score with visual outcome of patients with CI-DME is also of interest. Patients who show a limited early response to treatment may have better baseline VA, thinner CMT and lesser severity of diabetic retinopathy [120]. The overall impact of DRSS score on visual outcome of CI-DME patients treated in the VIVID and VISTA study showed that the VA outcomes did not differ based on baseline DRSS score stratified into ETDRS severity levels ≤ 43, 47, and ≥53 [120,121].

4. Other Factors Affecting Visual Outcome

Role of Systemic Risk Factors

There is significant evidence that systemic risk factors such as hyperglycaemia, hypertension and hyperlipidemia need to be optimally controlled before and after the onset of DMO and this needs to be emphasized to each patient. However, people with optimally controlled systemic risk factors do develop visual impairment due to DMO and some with poorly controlled risk factors do not develop DMO throughout their whole diabetes history. There is insufficient evidence that suboptimal control of any of these systemic risk factors influences visual prognosis due to DMO. These observations suggest that local ocular features are relatively more important in determining the visual status of eyes with DMO.

5. Conclusions

This review on factors determining visual impairment in DMO or visual prognostic factors in eyes post-treatment suggest the need for a systematic evaluation of both subjective and objective definite predictive factors in a well characterized cohort of sufficient sample size. The relative importance of these factors is unclear. Baseline VA is an important predictor of final visual gain, and patients need to be treated early, to prevent irreversible VA loss. However, even if patients present with visual loss at a later stage, initiating prompt treatment may still help preservation of remaining vision. OCT has significant importance in deciding initiation and continuation of treatment in DMO eyes. Although a change in central subfoveal thickness is a secondary outcome in clinical trials and is used for monitoring anatomical treatment response, it is not a visual prognostic indicator. Ultrastructural features, such as photoreceptor integrity and the presence of DRIL, may serve as better prognostic indicators. Although poor macular perfusion is likely to have a negative impact, further studies on it are required to ascertain the best parameter to measure macular perfusion. Systemic factors do not seem to have a significant role as a visual prognostic indicator. Although individual factors may not be of significance, the combination of these may form response phenotypes that are of prognostic significance. Prognostic models on visual impairment should be developed before personalised medicine can be provided for patients with DMO.

Author Contributions

Conception and design: S.S. (Sobha Sivaprasad) and S.S. (Sagnik Sen). Analysis and interpretation: S.S. (Sagnik Sen), K.R., and S.S. (Sobha Sivaprasad). Data collection: S.S. (Sagnik Sen). Obtained funding: K.R. and S.S. (Sobha Sivaprasad). Overall responsibility: S.S. (Sagnik Sen), K.R., and S.S. (Sobha Sivaprasad). All authors have read and agreed to the published version of the manuscript.

Funding

The ORNATE India project is funded by the GCRF UKRI (MR/P207881/1). The research is supported by the NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

Sagnik Sen and Kim Ramasamy declare no conflict of interest; Sobha Sivaprasad reported receiving research grants from Novartis, Bayer, Allergan, Roche, Boehringer Ingelheim, and Optos Plc, travel grants from Novartis and Bayer, speaker fees from Novartis, Bayer, and Optos Plc, and attending advisory board meetings for Novartis, Bayer, Allergan, Roche, Boehringer Ingelheim, Optos Plc, Oxurion, Opthes, Apellis, Oculis and Heidelberg Engineering.

References

  1. International Diabetes Federation. IDF Diabetes Atlas, 9th ed. Brussels, Belgium: International Diabetes Federation, 2019. Available online: https://www.diabetesatlas.org/en/resources/ (accessed on 19 April 2021).
  2. Early Photocoagulation for Diabetic Retinopathy. ETDRS Report Number 9. Early Treatment Diabetic Retinopathy Study Research Group. Ophthalmology 1991, 98 (Suppl. 5), 766–785. [Google Scholar] [CrossRef]
  3. Virgili, G.; Parravano, M.; Evans, J.R.; Gordon, I.; Lucenteforte, E. Anti-Vascular Endothelial Growth Factor for Diabetic Macular Oedema: A Network Meta-Analysis. Cochrane Database Syst. Rev. 2018, 10, CD007419. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Mitchell, P.; Bandello, F.; Schmidt-Erfurth, U.; Lang, G.E.; Massin, P.; Schlingemann, R.O.; Sutter, F.; Simader, C.; Burian, G.; Gerstner, O.; et al. The RESTORE Study: Ranibizumab Monotherapy or Combined with Laser versus Laser Monotherapy for Diabetic Macular Edema. Ophthalmology 2011, 118, 615–625. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Baker, C.W.; Glassman, A.R.; Beaulieu, W.T.; Antoszyk, A.N.; Browning, D.J.; Chalam, K.V.; Grover, S.; Jampol, L.M.; Jhaveri, C.D.; Melia, M.; et al. Effect of Initial Management with Aflibercept vs Laser Photocoagulation vs Observation on Vision Loss Among Patients with Diabetic Macular Edema Involving the Center of the Macula and Good Visual Acuity: A Randomized Clinical Trial. JAMA 2019, 321, 1880–1894. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Nguyen, Q.D.; Brown, D.M.; Marcus, D.M.; Boyer, D.S.; Patel, S.; Feiner, L.; Gibson, A.; Sy, J.; Rundle, A.C.; Hopkins, J.J.; et al. Ranibizumab for Diabetic Macular Edema: Results from 2 Phase III Randomized Trials: RISE and RIDE. Ophthalmology 2012, 119, 789–801. [Google Scholar] [CrossRef] [PubMed]
  7. Brown, D.M.; Nguyen, Q.D.; Marcus, D.M.; Boyer, D.S.; Patel, S.; Feiner, L.; Schlottmann, P.G.; Rundle, A.C.; Zhang, J.; Rubio, R.G.; et al. Long-Term Outcomes of Ranibizumab Therapy for Diabetic Macular Edema: The 36-Month Results from Two Phase III Trials: RISE and RIDE. Ophthalmology 2013, 120, 2013–2022. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Mitchell, P.; Chong, V.; Group, R.S. Baseline Predictors of 3-Year Responses to Ranibizumab and Laser Photocoagulation Therapy in Patients with Visual Impairment Due to Diabetic Macular Edema (DME): The RESTORE Study. Invest. Ophthalmol. Vis. Sci. 2013, 54, 2373. [Google Scholar]
  9. Wells, J.A.; Glassman, A.R.; Jampol, L.M.; Aiello, L.P.; Antoszyk, A.N.; Baker, C.W.; Bressler, N.M.; Browning, D.J.; Connor, C.G.; Elman, M.J.; et al. Association of Baseline Visual Acuity and Retinal Thickness With 1-Year Efficacy of Aflibercept, Bevacizumab, and Ranibizumab for Diabetic Macular Edema. JAMA Ophthalmol. 2016, 134, 127–134. [Google Scholar] [CrossRef] [Green Version]
  10. Halim, S.; Gurudas, S.; Chandra, S.; Greenwood, J.; Sivaprasad, S. Evaluation of Real-World Early Response of DMO to Aflibercept Therapy to Inform Future Clinical Trial Design of Novel Investigational Agents. Sci. Rep. 2020, 10, 16499. [Google Scholar] [CrossRef]
  11. Diabetic Retinopathy Clinical Research Network; Browning, D.J.; Glassman, A.R.; Aiello, L.P.; Beck, R.W.; Brown, D.M.; Fong, D.S.; Bressler, N.M.; Danis, R.P.; Kinyoun, J.L.; et al. Relationship between Optical Coherence Tomography-Measured Central Retinal Thickness and Visual Acuity in Diabetic Macular Edema. Ophthalmology 2007, 114, 525–536. [Google Scholar]
  12. Scott, I.U.; VanVeldhuisen, P.C.; Oden, N.L.; Ip, M.S.; Blodi, B.A.; Jumper, J.M.; Figueroa, M.; SCORE Study Investigator Group. SCORE Study Report 1: Baseline Associations between Central Retinal Thickness and Visual Acuity in Patients with Retinal Vein Occlusion. Ophthalmology 2009, 116, 504–512. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Keane, P.A.; Liakopoulos, S.; Chang, K.T.; Wang, M.; Dustin, L.; Walsh, A.C.; Sadda, S.R. Relationship between Optical Coherence Tomography Retinal Parameters and Visual Acuity in Neovascular Age-Related Macular Degeneration. Ophthalmology 2008, 115, 2206–2214. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Ou, W.C.; Brown, D.M.; Payne, J.F.; Wykoff, C.C. Relationship Between Visual Acuity and Retinal Thickness During Anti-Vascular Endothelial Growth Factor Therapy for Retinal Diseases. Am. J. Ophthalmol. 2017, 180, 8–17. [Google Scholar] [CrossRef] [PubMed]
  15. Maggio, E.; Sartore, M.; Attanasio, M.; Maraone, G.; Guerriero, M.; Polito, A.; Pertile, G. Anti-Vascular Endothelial Growth Factor Treatment for Diabetic Macular Edema in a Real-World Clinical Setting. Am. J. Ophthalmol. 2018, 195, 209–222. [Google Scholar] [CrossRef]
  16. Midena, E.; Gillies, M.; Katz, T.A.; Metzig, C.; Lu, C.; Ogura, Y. Impact of Baseline Central Retinal Thickness on Outcomes in the VIVID-DME and VISTA-DME Studies. J. Ophthalmol. 2018, 2018, 3640135. [Google Scholar] [CrossRef] [Green Version]
  17. Ziemssen, F.; Schlottman, P.G.; Lim, J.I.; Agostini, H.; Lang, G.E.; Bandello, F. Initiation of Intravitreal Aflibercept Injection Treatment in Patients with Diabetic Macular Edema: A Review of VIVID-DME and VISTA-DME Data. Int. J. Retina Vitreous 2016, 2, 16. [Google Scholar] [CrossRef] [Green Version]
  18. Pelosini, L.; Hull, C.C.; Boyce, J.F.; McHugh, D.; Stanford, M.R.; Marshall, J. Optical Coherence Tomography May Be Used to Predict Visual Acuity in Patients with Macular Edema. Investig. Ophthalmol. Vis. Sci. 2011, 52, 2741–2748. [Google Scholar] [CrossRef] [Green Version]
  19. Otani, T.; Kishi, S.; Maruyama, Y. Patterns of Diabetic Macular Edema with Optical Coherence Tomography. Am. J. Ophthalmol. 1999, 127, 688–693. [Google Scholar] [CrossRef]
  20. Otani, T.; Kishi, S. Correlation between Optical Coherence Tomography and Fluorescein Angiography Findings in Diabetic Macular Edema. Ophthalmology 2007, 114, 104–107. [Google Scholar] [CrossRef]
  21. Byeon, S.H.; Chu, Y.K.; Hong, Y.T.; Kim, M.; Kang, H.M.; Kwon, O.W. New Insights into the Pathoanatomy of Diabetic Macular Edema: Angiographic Patterns and Optical Coherence Tomography. Retina 2012, 32, 1087–1099. [Google Scholar] [CrossRef]
  22. Murakami, T.; Nishijima, K.; Akagi, T.; Uji, A.; Horii, T.; Ueda-Arakawa, N.; Muraoka, Y.; Yoshimura, N. Optical Coherence Tomographic Reflectivity of Photoreceptors beneath Cystoid Spaces in Diabetic Macular Edema. Investig. Ophthalmol. Vis. Sci. 2012, 53, 1506–1511. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Deák, G.G.; Bolz, M.; Ritter, M.; Prager, S.; Benesch, T.; Schmidt-Erfurth, U.; Diabetic Retinopathy Research Group Vienna. A Systematic Correlation between Morphology and Functional Alterations in Diabetic Macular Edema. Investig. Ophthalmol. Vis. Sci. 2010, 51, 6710–6714. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Reznicek, L.; Cserhati, S.; Seidensticker, F.; Liegl, R.; Kampik, A.; Ulbig, M.; Neubauer, A.S.; Kernt, M. Functional and Morphological Changes in Diabetic Macular Edema over the Course of Anti-Vascular Endothelial Growth Factor Treatment. Acta Ophthalmol. 2013, 91, e529–e536. [Google Scholar] [CrossRef] [PubMed]
  25. Bressler, S.B.; Ayala, A.R.; Bressler, N.M.; Melia, M.; Qin, H.; Ferris, F.L.; Flaxel, C.J.; Friedman, S.M.; Glassman, A.R.; Jampol, L.M.; et al. Persistent Macular Thickening After Ranibizumab Treatment for Diabetic Macular Edema With Vision Impairment. JAMA Ophthalmol. 2016, 134, 278–285. [Google Scholar] [CrossRef] [Green Version]
  26. Bressler, S.B.; Glassman, A.R.; Almukhtar, T.; Bressler, N.M.; Ferris, F.L.; Googe, J.M.; Gupta, S.K.; Jampol, L.M.; Melia, M.; Wells, J.A.; et al. Five-Year Outcomes of Ranibizumab With Prompt or Deferred Laser Versus Laser or Triamcinolone Plus Deferred Ranibizumab for Diabetic Macular Edema. Am. J. Ophthalmol. 2016, 164, 57–68. [Google Scholar] [CrossRef] [Green Version]
  27. Boyer, D.S. Treatment of Moderately Severe to Severe Nonproliferative Diabetic Retinopathy with Intravitreal Aflibercept Injection: 52-Week Results from the Phase 3 PANORAMA Study. Investig. Ophthalmol. Vis. Sci. 2019, 60, 1731. [Google Scholar]
  28. Yeung, L.; Lima, V.C.; Garcia, P.; Landa, G.; Rosen, R.B. Correlation between Spectral Domain Optical Coherence Tomography Findings and Fluorescein Angiography Patterns in Diabetic Macular Edema. Ophthalmology 2009, 116, 1158–1167. [Google Scholar] [CrossRef]
  29. Yanoff, M.; Fine, B.S.; Brucker, A.J.; Eagle, R.C. Pathology of Human Cystoid Macular Edema. Surv. Ophthalmol. 1984, 28, 505–511. [Google Scholar] [CrossRef]
  30. Yamamoto, S.; Yamamoto, T.; Hayashi, M.; Takeuchi, S. Morphological and Functional Analyses of Diabetic Macular Edema by Optical Coherence Tomography and Multifocal Electroretinograms. Graefes. Arch. Clin. Exp. Ophthalmol. 2001, 239, 96–101. [Google Scholar] [CrossRef]
  31. Al Faran, A.; Mousa, A.; Al Shamsi, H.; Al Gaeed, A.; Ghazi, N.G. Spectral Domain Optical Coherence Tomography Predictors of Visual Outcome in Diabetic Cystoid Macular Edema after Bevacizumab Injection. Retina 2014, 34, 1208–1215. [Google Scholar] [CrossRef]
  32. Ehlers, J.P.; Uchida, A.; Hu, M.; Figueiredo, N.; Kaiser, P.K.; Heier, J.S.; Brown, D.M.; Boyer, D.S.; Do, D.V.; Gibson, A.; et al. Higher-Order Assessment of OCT in Diabetic Macular Edema from the VISTA Study: Ellipsoid Zone Dynamics and the Retinal Fluid Index. Ophthalmol. Retina 2019, 3, 1056–1066. [Google Scholar] [CrossRef] [PubMed]
  33. Yalçın, G.; Özdek, Ş.; Baran Aksakal, F.N. Defining Cystoid Macular Degeneration in Diabetic Macular Edema: An OCT-Based Single-Center Study. Turk. J. Ophthalmol. 2019, 49, 315–322. [Google Scholar] [CrossRef] [PubMed]
  34. Yalçın, N.G.; Özdek, Ş. The Relationship Between Macular Cyst Formation and Ischemia in Diabetic Macular Edema. Turk. J. Ophthalmol. 2019, 49, 194–200. [Google Scholar] [CrossRef]
  35. Murakami, T.; Suzuma, K.; Uji, A.; Yoshitake, S.; Dodo, Y.; Fujimoto, M.; Yoshitake, T.; Miwa, Y.; Yoshimura, N. Association between Characteristics of Foveal Cystoid Spaces and Short-Term Responsiveness to Ranibizumab for Diabetic Macular Edema. Jpn J. Ophthalmol. 2018, 62, 292–301. [Google Scholar] [CrossRef] [PubMed]
  36. Terada, N.; Murakami, T.; Uji, A.; Dodo, Y.; Mori, Y.; Tsujikawa, A. Hyperreflective Walls in Foveal Cystoid Spaces as a Biomarker of Diabetic Macular Edema Refractory to Anti-VEGF Treatment. Sci. Rep. 2020, 10, 7299. [Google Scholar] [CrossRef]
  37. Zur, D.; Iglicki, M.; Busch, C.; Invernizzi, A.; Mariussi, M.; Loewenstein, A.; International Retina Group. OCT Biomarkers as Functional Outcome Predictors in Diabetic Macular Edema Treated with Dexamethasone Implant. Ophthalmology 2018, 125, 267–275. [Google Scholar] [CrossRef]
  38. Gaucher, D.; Sebah, C.; Erginay, A.; Haouchine, B.; Tadayoni, R.; Gaudric, A.; Massin, P. Optical Coherence Tomography Features during the Evolution of Serous Retinal Detachment in Patients with Diabetic Macular Edema. Am. J. Ophthalmol. 2008, 145, 289–296. [Google Scholar] [CrossRef]
  39. Scarinci, F.; Jampol, L.M.; Linsenmeier, R.A.; Fawzi, A.A. Association of Diabetic Macular Nonperfusion with Outer Retinal Disruption on Optical Coherence Tomography. JAMA Ophthalmol. 2015, 133, 1036–1044. [Google Scholar] [CrossRef]
  40. Freyler, H.; Prskavec, F.; Stelzer, N. Diabetic choroidopathy--a retrospective fluorescein angiography study. Preliminary report. Klin. Monbl. Augenheilkd. 1986, 189, 144–147. [Google Scholar] [CrossRef] [PubMed]
  41. Mohamed, E.H.E.S.; Nabil, K.M.; Gomaa, A.R.; Haddad, O.H.E.H. External limiting membrane and ellipsoid zone integrity and presenting visual acuity in treatment naïve center involved diabetic macular edema. EC Ophthalmology. 2018, 9, 408–421. [Google Scholar]
  42. Shah, V.A.; Brown, J.S.; Mahmoud, T.H. Correlation of Outer Retinal Microstucture and Foveal Thickness with Visual Acuity after Pars Plana Vitrectomy for Complications of Proliferative Diabetic Retinopathy. Retina 2012, 32, 1775–1780. [Google Scholar] [CrossRef] [PubMed]
  43. Muftuoglu, I.K.; Mendoza, N.; Gaber, R.; Alam, M.; You, Q.; Freeman, W.R. Integrity of outer retinal layers after resolution of central involved diabetic macular edema. Retina 2017, 37, 2015–2024. [Google Scholar] [CrossRef]
  44. Maheshwary, A.S.; Oster, S.F.; Yuson, R.M.S.; Cheng, L.; Mojana, F.; Freeman, W.R. The Association between Percent Disruption of the Photoreceptor Inner Segment-Outer Segment Junction and Visual Acuity in Diabetic Macular Edema. Am. J. Ophthalmol. 2010, 150, 63–67.e1. [Google Scholar] [CrossRef] [Green Version]
  45. Hannouche, R.Z.; de Avila, M.P.; Isaac, D.L.C.; Silva, R.S.; Rassi, A.R. Correlation between Central Subfield Thickness, Visual Acuity and Structural Changes in Diabetic Macular Edema. Arq. Bras. Oftalmol. 2012, 75, 183–187. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Shin, H.J.; Lee, S.H.; Chung, H.; Kim, H.C. Association between Photoreceptor Integrity and Visual Outcome in Diabetic Macular Edema. Graefes. Arch. Clin. Exp. Ophthalmol. 2012, 250, 61–70. [Google Scholar] [CrossRef] [PubMed]
  47. Chhablani, J.K.; Kim, J.S.; Cheng, L.; Kozak, I.; Freeman, W. External Limiting Membrane as a Predictor of Visual Improvement in Diabetic Macular Edema after Pars Plana Vitrectomy. Graefes. Arch. Clin. Exp. Ophthalmol. 2012, 250, 1415–1420. [Google Scholar] [CrossRef]
  48. Shen, Y.; Liu, K.; Xu, X. Correlation Between Visual Function and Photoreceptor Integrity in Diabetic Macular Edema: Spectral-Domain Optical Coherence Tomography. Curr. Eye Res. 2016, 41, 391–399. [Google Scholar] [CrossRef] [PubMed]
  49. Kaya, M.; Karahan, E.; Ozturk, T.; Kocak, N.; Kaynak, S. Effectiveness of Intravitreal Ranibizumab for Diabetic Macular Edema with Serous Retinal Detachment. Korean J. Ophthalmol. 2018, 32, 296–302. [Google Scholar] [CrossRef]
  50. Mori, Y.; Murakami, T.; Suzuma, K.; Ishihara, K.; Yoshitake, S.; Fujimoto, M.; Dodo, Y.; Yoshitake, T.; Miwa, Y.; Tsujikawa, A. Relation between Macular Morphology and Treatment Frequency during Twelve Months with Ranibizumab for Diabetic Macular Edema. PLoS ONE 2017, 12, e0175809. [Google Scholar] [CrossRef]
  51. Yohannan, J.; Bittencourt, M.; Sepah, Y.J.; Hatef, E.; Sophie, R.; Moradi, A.; Liu, H.; Ibrahim, M.; Do, D.V.; Coulantuoni, E.; et al. Association of Retinal Sensitivity to Integrity of Photoreceptor Inner/Outer Segment Junction in Patients with Diabetic Macular Edema. Ophthalmology 2013, 120, 1254–1261. [Google Scholar] [CrossRef]
  52. Wang, J.-W.; Jie, C.-H.; Tao, Y.-J.; Meng, N.; Hu, Y.-C.; Wu, Z.-Z.; Cai, W.-J.; Gong, X.-M. Macular Integrity Assessment to Determine the Association between Macular Microstructure and Functional Parameters in Diabetic Macular Edema. Int. J. Ophthalmol. 2018, 11, 1185–1191. [Google Scholar] [PubMed]
  53. Uji, A.; Murakami, T.; Nishijima, K.; Akagi, T.; Horii, T.; Arakawa, N.; Muraoka, Y.; Ellabban, A.A.; Yoshimura, N. Association between Hyperreflective Foci in the Outer Retina, Status of Photoreceptor Layer, and Visual Acuity in Diabetic Macular Edema. Am. J. Ophthalmol. 2012, 153, 710–717, 717.e1. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Bolz, M.; Schmidt-Erfurth, U.; Deak, G.; Mylonas, G.; Kriechbaum, K.; Scholda, C.; Diabetic Retinopathy Research Group Vienna. Optical Coherence Tomographic Hyperreflective Foci: A Morphologic Sign of Lipid Extravasation in Diabetic Macular Edema. Ophthalmology 2009, 116, 914–920. [Google Scholar] [CrossRef] [PubMed]
  55. Schuman, S.G.; Koreishi, A.F.; Farsiu, S.; Jung, S.; Izatt, J.A.; Toth, C.A. Photoreceptor Layer Thinning over Drusen in Eyes with Age-Related Macular Degeneration Imaged in Vivo with Spectral-Domain Optical Coherence Tomography. Ophthalmology 2009, 116, 488–496.e2. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Coscas, G.; De Benedetto, U.; Coscas, F.; Li Calzi, C.I.; Vismara, S.; Roudot-Thoraval, F.; Bandello, F.; Souied, E. Hyperreflective Dots: A New Spectral-Domain Optical Coherence Tomography Entity for Follow-up and Prognosis in Exudative Age-Related Macular Degeneration. Ophthalmologica 2013, 229, 32–37. [Google Scholar] [CrossRef] [PubMed]
  57. Ota, M.; Nishijima, K.; Sakamoto, A.; Murakami, T.; Takayama, K.; Horii, T.; Yoshimura, N. Optical Coherence Tomographic Evaluation of Foveal Hard Exudates in Patients with Diabetic Maculopathy Accompanying Macular Detachment. Ophthalmology 2010, 117, 1996–2002. [Google Scholar] [CrossRef]
  58. Jonas, J.B.; Jonas, R.A.; Neumaier, M.; Findeisen, P. Cytokine Concentration in Aqueous Humor of Eyes with Diabetic Macular Edema. Retina 2012, 32, 2150–2157. [Google Scholar] [CrossRef]
  59. Midena, E.; Pilotto, E.; Bini, S. Hyperreflective Intraretinal Foci as an OCT Biomarker of Retinal Inflammation in Diabetic Macular Edema. Investig. Ophthalmol. Vis. Sci. 2018, 59, 5366. [Google Scholar] [CrossRef] [Green Version]
  60. Kang, J.-W.; Chung, H.; Chan Kim, H. Correlation of optical coherence tomographic hyperreflective foci with visual outcomes in different patterns of diabetic macular edema. Retina 2016, 36, 1630–1639. [Google Scholar] [CrossRef]
  61. Hwang, T.S.; Jia, Y.; Gao, S.S.; Bailey, S.T.; Lauer, A.K.; Flaxel, C.J.; Wilson, D.J.; Huang, D. Optical coherence tomography angiography features of diabetic retinopathy. Retina 2015, 35, 2371–2376. [Google Scholar] [CrossRef] [Green Version]
  62. Li, B.; Zhang, B.; Chen, Y.; Li, D. Optical Coherence Tomography Parameters Related to Vision Impairment in Patients with Diabetic Macular Edema: A Quantitative Correlation Analysis. J. Ophthalmol. 2020, 2020, 5639284. [Google Scholar] [CrossRef] [PubMed]
  63. Vujosevic, S.; Torresin, T.; Bini, S.; Convento, E.; Pilotto, E.; Parrozzani, R.; Midena, E. Imaging Retinal Inflammatory Biomarkers after Intravitreal Steroid and Anti-VEGF Treatment in Diabetic Macular Oedema. Acta Ophthalmol. 2017, 95. [Google Scholar] [CrossRef] [PubMed]
  64. Vujosevic, S.; Berton, M.; Bini, S.; Casciano, M.; Cavarzeran, F.; Midena, E. Hyperreflective retinal spots and visual function after anti-vascular endothelial growth factor treatment in center-involving diabetic macular edema. Retina 2016, 36, 1298–1308. [Google Scholar] [CrossRef] [PubMed]
  65. Zeng, H.; Green, W.R.; Tso, M.O.M. Microglial Activation in Human Diabetic Retinopathy. Arch. Ophthalmol. 2008, 126, 227–232. [Google Scholar] [CrossRef] [Green Version]
  66. Domalpally, A.; Ip, M.S.; Ehrlich, J.S. Effects of Intravitreal Ranibizumab on Retinal Hard Exudate in Diabetic Macular Edema: Findings from the RIDE and RISE Phase III Clinical Trials. Ophthalmology 2015, 122, 779–786. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  67. Davoudi, S.; Papavasileiou, E.; Roohipoor, R.; Cho, H.; Kudrimoti, S.; Hancock, H.; Hoadley, S.; Andreoli, C.; Husain, D.; James, M.; et al. Optical coherence tomography characteristics of macular edema and hard exudates and their association with lipid serum levels in type 2 diabetes. Retina 2016, 36, 1622–1629. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  68. Framme, C.; Wolf, S.; Wolf-Schnurrbusch, U. Small Dense Particles in the Retina Observable by Spectral-Domain Optical Coherence Tomography in Age-Related Macular Degeneration. Investig. Ophthalmol. Vis. Sci. 2010, 51, 5965–5969. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  69. Framme, C.; Schweizer, P.; Imesch, M.; Wolf, S.; Wolf-Schnurrbusch, U. Behavior of SD-OCT-Detected Hyperreflective Foci in the Retina of Anti-VEGF-Treated Patients with Diabetic Macular Edema. Investig. Ophthalmol. Vis. Sci. 2012, 53, 5814–5818. [Google Scholar] [CrossRef] [Green Version]
  70. Schreur, V.; Altay, L.; van Asten, F.; Groenewoud, J.M.M.; Fauser, S.; Klevering, B.J.; Hoyng, C.B.; de Jong, E.K. Hyperreflective Foci on Optical Coherence Tomography Associate with Treatment Outcome for Anti-VEGF in Patients with Diabetic Macular Edema. PLoS ONE 2018, 13, e0206482. [Google Scholar] [CrossRef]
  71. Sun, J.K.; Lin, M.M.; Lammer, J.; Prager, S.; Sarangi, R.; Silva, P.S.; Aiello, L.P. Disorganization of the Retinal Inner Layers as a Predictor of Visual Acuity in Eyes with Center-Involved Diabetic Macular Edema. JAMA Ophthalmol. 2014, 132, 1309–1316. [Google Scholar] [CrossRef] [Green Version]
  72. Bek, T. Transretinal Histopathological Changes in Capillary-Free Areas of Diabetic Retinopathy. Acta Ophthalmol. (Copenh) 1994, 72, 409–415. [Google Scholar] [CrossRef] [PubMed]
  73. Barber, A.J.; Lieth, E.; Khin, S.A.; Antonetti, D.A.; Buchanan, A.G.; Gardner, T.W. Neural Apoptosis in the Retina during Experimental and Human Diabetes. Early Onset and Effect of Insulin. J. Clin. Investig. 1998, 102, 783–791. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Grewal, D.S.; O’Sullivan, M.L.; Kron, M.; Jaffe, G.J. Association of Disorganization of Retinal Inner Layers With Visual Acuity In Eyes With Uveitic Cystoid Macular Edema. Am. J. Ophthalmol. 2017, 177, 116–125. [Google Scholar] [CrossRef] [PubMed]
  75. Nadri, G.; Saxena, S.; Stefanickova, J.; Ziak, P.; Benacka, J.; Gilhotra, J.S.; Kruzliak, P. Disorganization of Retinal Inner Layers Correlates with Ellipsoid Zone Disruption and Retinal Nerve Fiber Layer Thinning in Diabetic Retinopathy. J. Diabetes Complicat. 2019, 33, 550–553. [Google Scholar] [CrossRef]
  76. Onishi, A.C.; ashraf, M.; soetikno, B.T.; fawzi, A.A. Multilevel ischemia in disorganization of the retinal inner layers on projection-resolved optical coherence tomography angiography. Retina 2019, 39, 1588–1594. [Google Scholar] [CrossRef]
  77. Joltikov, K.A.; Sesi, C.A.; de Castro, V.M.; Davila, J.R.; Anand, R.; Khan, S.M.; Farbman, N.; Jackson, G.R.; Johnson, C.A.; Gardner, T.W. Disorganization of Retinal Inner Layers (DRIL) and Neuroretinal Dysfunction in Early Diabetic Retinopathy. Investig. Ophthalmol. Vis. Sci. 2018, 59, 5481–5486. [Google Scholar] [CrossRef] [Green Version]
  78. Moein, H.-R.; Novais, E.A.; Rebhun, C.B.; Cole, E.D.; Louzada, R.N.; Witkin, A.J.; Baumal, C.R.; Duker, J.S.; Waheed, N.K. Optical coherence tomography angiography to detect macular capillary ischemia in patients with inner retinal changes after resolved diabetic macular edema. Retina 2018, 38, 2277–2284. [Google Scholar] [CrossRef]
  79. Radwan, S.H.; Soliman, A.Z.; Tokarev, J.; Zhang, L.; van Kuijk, F.J.; Koozekanani, D.D. Association of Disorganization of Retinal Inner Layers with Vision After Resolution of Center-Involved Diabetic Macular Edema. JAMA Ophthalmol. 2015, 133, 820–825. [Google Scholar] [CrossRef] [Green Version]
  80. Eraslan, S.; Yıldırım, Ö.; Dursun, Ö.; Dinç, E.; Orekici Temel, G. Relationship Between Final Visual Acuity and Optical Coherence Tomography Findings in Patients with Diabetic Macular Edema Undergoing Anti-VEGF Therapy. Turk. J. Ophthalmol. 2020, 50, 163–168. [Google Scholar] [CrossRef]
  81. Khojasteh, H.; Riazi-Esfahani, H.; Khalili Pour, E.; Faghihi, H.; Ghassemi, F.; Bazvand, F.; Mahmoudzadeh, R.; Salabati, M.; Mirghorbani, M.; Riazi Esfahani, M. Multifocal Electroretinogram in Diabetic Macular Edema and Its Correlation with Different Optical Coherence Tomography Features. Int. Ophthalmol. 2020, 40, 571–581. [Google Scholar] [CrossRef]
  82. Sun, J.K.; Radwan, S.H.; Soliman, A.Z.; Lammer, J.; Lin, M.M.; Prager, S.G.; Silva, P.S.; Aiello, L.B.; Aiello, L.P. Neural Retinal Disorganization as a Robust Marker of Visual Acuity in Current and Resolved Diabetic Macular Edema. Diabetes 2015, 64, 2560–2570. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Zur, D.; Iglicki, M.; Sala-Puigdollers, A.; Chhablani, J.; Lupidi, M.; Fraser-Bell, S.; Mendes, T.S.; Chaikitmongkol, V.; Cebeci, Z.; Dollberg, D.; et al. Disorganization of Retinal Inner Layers as a Biomarker in Patients with Diabetic Macular Oedema Treated with Dexamethasone Implant. Acta Ophthalmol. 2020, 98, e217–e223. [Google Scholar] [CrossRef] [PubMed]
  84. Das, R.; Spence, G.; Hogg, R.E.; Stevenson, M.; Chakravarthy, U. Disorganization of Inner Retina and Outer Retinal Morphology in Diabetic Macular Edema. JAMA Ophthalmol. 2018, 136, 202–208. [Google Scholar] [CrossRef]
  85. De, S.; Saxena, S.; Kaur, A.; Mahdi, A.A.; Misra, A.; Singh, M.; Meyer, C.H.; Akduman, L. Sequential Restoration of External Limiting Membrane and Ellipsoid Zone after Intravitreal Anti-VEGF Therapy in Diabetic Macular Oedema. Eye (Lond) 2020. [Google Scholar] [CrossRef]
  86. Sampani, K.; Abdulaal, M.; Peiris, T.; Lin, M.M.; Pitoc, C.; Ledesma, M.; Lammer, J.; Silva, P.S.; Aiello, L.P.; Sun, J.K. Comparison of SDOCT Scan Types for Grading Disorganization of Retinal Inner Layers and Other Morphologic Features of Diabetic Macular Edema. Transl. Vis. Sci. Technol. 2020, 9, 45. [Google Scholar] [CrossRef] [PubMed]
  87. Funatsu, H.; Noma, H.; Mimura, T.; Eguchi, S.; Hori, S. Association of Vitreous Inflammatory Factors with Diabetic Macular Edema. Ophthalmology 2009, 116, 73–79. [Google Scholar] [CrossRef] [PubMed]
  88. Kim, M.; Cho, Y.J.; Lee, C.H.; Lee, S.C. Effect of Intravitreal Dexamethasone Implant on Retinal and Choroidal Thickness in Refractory Diabetic Macular Oedema after Multiple Anti-VEGF Injections. Eye (Lond) 2016, 30, 718–725. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  89. Mathis, T.; Mendes, M.; Dot, C.; Bouteleux, V.; Machkour-Bentaleb, Z.; El Chehab, H.; Agard, E.; Denis, P.; Kodjikian, L. Increased Choroidal Thickness: A New Indicator for Monitoring Diabetic Macular Oedema Recurrence. Acta Ophthalmol. 2020, 98, e968–e974. [Google Scholar] [CrossRef] [PubMed]
  90. Schocket, L.S.; Brucker, A.J.; Niknam, R.M.; Grunwald, J.E.; DuPont, J.; Brucker, A.J. Foveolar Choroidal Hemodynamics in Proliferative Diabetic Retinopathy. Int. Ophthalmol. 2004, 25, 89–94. [Google Scholar] [CrossRef]
  91. Nagaoka, T.; Kitaya, N.; Sugawara, R.; Yokota, H.; Mori, F.; Hikichi, T.; Fujio, N.; Yoshida, A. Alteration of Choroidal Circulation in the Foveal Region in Patients with Type 2 Diabetes. Br. J. Ophthalmol. 2004, 88, 1060–1063. [Google Scholar] [CrossRef] [Green Version]
  92. Cao, J.; McLeod, S.; Merges, C.A.; Lutty, G.A. Choriocapillaris Degeneration and Related Pathologic Changes in Human Diabetic Eyes. Arch. Ophthalmol. 1998, 116, 589–597. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  93. Kase, S.; Endo, H.; Takahashi, M.; Ito, Y.; Saito, M.; Yokoi, M.; Katsuta, S.; Sonoda, S.; Sakamoto, T.; Ishida, S.; et al. Alteration of Choroidal Vascular Structure in Diabetic Macular Edema. Graefes. Arch. Clin. Exp. Ophthalmol. 2020, 258, 971–977. [Google Scholar] [CrossRef] [PubMed]
  94. Gupta, P.; Thakku, S.G.; Sabanayagam, C.; Tan, G.; Agrawal, R.; Cheung, C.M.G.; Lamoureux, E.L.; Wong, T.-Y.; Cheng, C.-Y. Characterisation of Choroidal Morphological and Vascular Features in Diabetes and Diabetic Retinopathy. Br. J. Ophthalmol. 2017, 101, 1038–1044. [Google Scholar] [CrossRef]
  95. Endo, H.; Kase, S.; Takahashi, M.; Saito, M.; Yokoi, M.; Sugawara, C.; Katsuta, S.; Ishida, S.; Kase, M. Relationship between Diabetic Macular Edema and Choroidal Layer Thickness. PLoS ONE 2020, 15, e0226630. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  96. Eliwa, T.F.; Hegazy, O.S.; Mahmoud, S.S.; Almaamon, T. Choroidal Thickness Change in Patients with Diabetic Macular Edema. Ophthalmic. Surg. Lasers Imaging Retina 2017, 48, 970–977. [Google Scholar] [CrossRef]
  97. Lee, K.F.; Lim, J.W.; Shin, M.C. Comparison of Choroidal Thickness in Patients with Diabetes by Spectral-domain Optical Coherence Tomography. Korean J. Ophthalmol. 2013, 27, 433–439. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  98. Kim, M.; Ha, M.J.; Choi, S.Y.; Park, Y.-H. Choroidal Vascularity Index in Type-2 Diabetes Analyzed by Swept-Source Optical Coherence Tomography. Sci. Rep. 2018, 8, 70. [Google Scholar] [CrossRef] [PubMed]
  99. Rewbury, R.; Want, A.; Varughese, R.; Chong, V. Subfoveal Choroidal Thickness in Patients with Diabetic Retinopathy and Diabetic Macular Oedema. Eye (Lond) 2016, 30, 1568–1572. [Google Scholar] [CrossRef] [Green Version]
  100. Sudhalkar, A.; Chhablani, J.K.; Venkata, A.; Raman, R.; Rao, P.S.; Jonnadula, G.B. Choroidal Thickness in Diabetic Patients of Indian Ethnicity. Indian J. Ophthalmol. 2015, 63, 912–916. [Google Scholar] [CrossRef] [PubMed]
  101. Laíns, I.; Talcott, K.E.; Santos, A.R.; Marques, J.H.; Gil, P.; Gil, J.; Figueira, J.; Husain, D.; Kim, I.K.; Miller, J.W.; et al. Choroidal thickness in diabetic retinopathy assessed with swept-source optical coherence tomography. Retina 2018, 38, 173–182. [Google Scholar] [CrossRef]
  102. Galgauskas, S.; Laurinavičiūtė, G.; Norvydaitė, D.; Stech, S.; Ašoklis, R. Changes in Choroidal Thickness and Corneal Parameters in Diabetic Eyes. Eur. J. Ophthalmol. 2016, 26, 163–167. [Google Scholar] [CrossRef] [PubMed]
  103. Xu, J.; Xu, L.; Du, K.F.; Shao, L.; Chen, C.X.; Zhou, J.Q.; Wang, Y.X.; You, Q.S.; Jonas, J.B.; Wei, W.B. Subfoveal Choroidal Thickness in Diabetes and Diabetic Retinopathy. Ophthalmology 2013, 120, 2023–2028. [Google Scholar] [CrossRef] [PubMed]
  104. Agrawal, R.; Gupta, P.; Tan, K.-A.; Cheung, C.M.G.; Wong, T.-Y.; Cheng, C.-Y. Choroidal Vascularity Index as a Measure of Vascular Status of the Choroid: Measurements in Healthy Eyes from a Population-Based Study. Sci. Rep. 2016, 6, 21090. [Google Scholar] [CrossRef] [PubMed]
  105. Or, C.; Sabrosa, A.S.; Sorour, O.; Arya, M.; Waheed, N. Use of OCTA, FA, and Ultra-Widefield Imaging in Quantifying Retinal Ischemia: A Review. Asia Pac. J. Ophthalmol. (Phila) 2018, 7, 46–51. [Google Scholar] [CrossRef]
  106. Gill, A.; Cole, E.D.; Novais, E.A.; Louzada, R.N.; de Carlo, T.; Duker, J.S.; Waheed, N.K.; Baumal, C.R.; Witkin, A.J. Visualization of Changes in the Foveal Avascular Zone in Both Observed and Treated Diabetic Macular Edema Using Optical Coherence Tomography Angiography. Int. J. Retina Vitreous 2017, 3, 19. [Google Scholar] [CrossRef]
  107. Tarassoly, K.; Miraftabi, A.; Soltan Sanjari, M.; Parvaresh, M.M. The relationship between foveal avascular zone area, vessel density, and cystoid changes in diabetic retinopathy: An optical coherence tomography angiography study. Retina 2018, 38, 1613–1619. [Google Scholar] [CrossRef] [PubMed]
  108. Coscas, G.; Lupidi, M.; Coscas, F. Optical Coherence Tomography Angiography in Diabetic Maculopathy. Dev. Ophthalmol. 2017, 60, 38–49. [Google Scholar] [CrossRef]
  109. Cennamo, G.; Romano, M.R.; Nicoletti, G.; Velotti, N.; de Crecchio, G. Optical Coherence Tomography Angiography versus Fluorescein Angiography in the Diagnosis of Ischaemic Diabetic Maculopathy. Acta Ophthalmol. 2017, 95, e36–e42. [Google Scholar] [CrossRef]
  110. Dodo, Y.; Suzuma, K.; Ishihara, K.; Yoshitake, S.; Fujimoto, M.; Yoshitake, T.; Miwa, Y.; Murakami, T. Clinical Relevance of Reduced Decorrelation Signals in the Diabetic Inner Choroid on Optical Coherence Tomography Angiography. Sci. Rep. 2017, 7, 5227. [Google Scholar] [CrossRef] [Green Version]
  111. Moon, B.G.; Um, T.; Lee, J.; Yoon, Y.H. Correlation between Deep Capillary Plexus Perfusion and Long-Term Photoreceptor Recovery after Diabetic Macular Edema Treatment. Ophthalmol. Retina 2018, 2, 235–243. [Google Scholar] [CrossRef]
  112. Pereira, F.; Godoy, B.R.; Maia, M.; Regatieri, C.V. Microperimetry and OCT Angiography Evaluation of Patients with Ischemic Diabetic Macular Edema Treated with Monthly Intravitreal Bevacizumab: A Pilot Study. Int. J. Retina Vitreous 2019, 5, 24. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  113. Lee, J.; Moon, B.G.; Cho, A.R.; Yoon, Y.H. Optical Coherence Tomography Angiography of DME and Its Association with Anti-VEGF Treatment Response. Ophthalmology 2016, 123, 2368–2375. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  114. Hasegawa, N.; Nozaki, M.; Takase, N.; Yoshida, M.; Ogura, Y. New Insights Into Microaneurysms in the Deep Capillary Plexus Detected by Optical Coherence Tomography Angiography in Diabetic Macular Edema. Investig. Ophthalmol. Vis. Sci. 2016, 57, OCT348–OCT355. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  115. Ishibazawa, A.; Nagaoka, T.; Takahashi, A.; Omae, T.; Tani, T.; Sogawa, K.; Yokota, H.; Yoshida, A. Optical Coherence Tomography Angiography in Diabetic Retinopathy: A Prospective Pilot Study. Am. J. Ophthalmol. 2015, 160, 35–44.e1. [Google Scholar] [CrossRef] [Green Version]
  116. Yu, S.; Lu, J.; Cao, D.; Liu, R.; Liu, B.; Li, T.; Luo, Y.; Lu, L. The Role of Optical Coherence Tomography Angiography in Fundus Vascular Abnormalities. BMC Ophthalmol. 2016, 16, 107. [Google Scholar] [CrossRef] [Green Version]
  117. Peres, M.B.; Kato, R.T.; Kniggendorf, V.F.; Cole, E.D.; Onal, S.; Torres, E.; Louzada, R.; Belfort, R.; Duker, J.S.; Novais, E.A.; et al. Comparison of Optical Coherence Tomography Angiography and Fluorescein Angiography for the Identification of Retinal Vascular Changes in Eyes With Diabetic Macular Edema. Ophthalmic Surg. Lasers Imaging Retina 2016, 47, 1013–1019. [Google Scholar] [CrossRef] [PubMed]
  118. Reddy, R.K.; Pieramici, D.J.; Gune, S.; Ghanekar, A.; Lu, N.; Quezada-Ruiz, C.; Baumal, C.R. Efficacy of Ranibizumab in Eyes with Diabetic Macular Edema and Macular Nonperfusion in RIDE and RISE. Ophthalmology 2018, 125, 1568–1574. [Google Scholar] [CrossRef]
  119. Sorour, O.A.; Sabrosa, A.S.; Yasin Alibhai, A.; Arya, M.; Ishibazawa, A.; Witkin, A.J.; Baumal, C.R.; Duker, J.S.; Waheed, N.K. Optical Coherence Tomography Angiography Analysis of Macular Vessel Density before and after Anti-VEGF Therapy in Eyes with Diabetic Retinopathy. Int. Ophthalmol. 2019, 39, 2361–2371. [Google Scholar] [CrossRef]
  120. Pieramici, D.; Singh, R.P.; Gibson, A.; Saroj, N.; Vitti, R.; Berliner, A.J.; Zeitz, O.; Metzig, C.; Soo, Y.; Zhu, X.; et al. Outcomes of Diabetic Macular Edema Eyes with Limited Early Response in the VISTA and VIVID Studies. Ophthalmol. Retina 2018, 2, 558–566. [Google Scholar] [CrossRef]
  121. Staurenghi, G.; Feltgen, N.; Arnold, J.J.; Katz, T.A.; Metzig, C.; Lu, C.; Holz, F.G.; VIVID-DME and VISTA-DME study investigators. Impact of Baseline Diabetic Retinopathy Severity Scale Scores on Visual Outcomes in the VIVID-DME and VISTA-DME Studies. Br. J. Ophthalmol. 2018, 102, 954–958. [Google Scholar] [CrossRef]
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Sen, S.; Ramasamy, K.; Sivaprasad, S. Indicators of Visual Prognosis in Diabetic Macular Oedema. J. Pers. Med. 2021, 11, 449. https://doi.org/10.3390/jpm11060449

AMA Style

Sen S, Ramasamy K, Sivaprasad S. Indicators of Visual Prognosis in Diabetic Macular Oedema. Journal of Personalized Medicine. 2021; 11(6):449. https://doi.org/10.3390/jpm11060449

Chicago/Turabian Style

Sen, Sagnik, Kim Ramasamy, and Sobha Sivaprasad. 2021. "Indicators of Visual Prognosis in Diabetic Macular Oedema" Journal of Personalized Medicine 11, no. 6: 449. https://doi.org/10.3390/jpm11060449

APA Style

Sen, S., Ramasamy, K., & Sivaprasad, S. (2021). Indicators of Visual Prognosis in Diabetic Macular Oedema. Journal of Personalized Medicine, 11(6), 449. https://doi.org/10.3390/jpm11060449

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