Optical Coherence Tomography Findings in Diabetic Macular Edema

Koleva-Georgieva, Desislava

doi:10.5772/30302

Cited by 13 publications

(10 citation statements)

References 72 publications

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“…Patients who met all of the following criteria were considered for inclusion into the study: glycated haemoglobin ≤ 9%, controlled blood pressure (≤130/80 mmHg), visually significant cataract diagnosed using a slit lamp; nonproliferative diabetic retinopathy and clinically significant macular edema; tomographic features of nontractional diabetic macular edema, cystoid pattern, and retinal detachment pattern as described by Koleva-Georgieva [ 18 ], regardless of central retinal thickness; and proliferative diabetic retinopathy whose proliferative component had been previously treated with laser photocoagulation. Patients who met any of the following criteria were excluded from study entry: treatment of diabetic macular edema with intravitreal anti-VEGF in 3 months before surgery or any type of intravitreal corticosteroid in the 6 months before surgery; presence of untreated proliferative diabetic retinopathy; history of ocular hypertension or glaucoma; and presence of associated conditions, such as uveitis, retinal vein occlusion, and neovascular glaucoma, that could worsen macular edema.…”

Section: Methodsmentioning

confidence: 99%

Combined Phacoemulsification and Intravitreal Dexamethasone Implant (Ozurdex®) in Diabetic Patients with Coexisting Cataract and Diabetic Macular Edema

Furino

Boscia

Niro

et al. 2017

Journal of Ophthalmology

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Purpose To investigate the effectiveness and safety of combined phacoemulsification and dexamethasone intravitreal implant in patients with cataract and diabetic macular edema. Methods In this two-center, retrospective, single-group study, the charts of 16 consecutive patients who underwent combined phacoemulsification and intravitreal dexamethasone implant were retrospectively reviewed. These 16 patients, 7 men and 9 women, were observed at least 3 months of follow-up. Primary outcome was the change of the central retinal thickness (CRT); secondary outcome was the change of best-corrected visual acuity (BCVA). Any ocular complications were recorded. Results Mean CRT decreased significantly from 486 ± 152.4 μm at baseline to 365.5 ± 91 μm at 30 days (p = .005), to 326 ± 80 μm at 60 days (p = .0004), and to 362 ± 134 μm at 90 days (p = .001). Mean BCVA was 20/105 (logMAR, 0.72 ± 0.34) at baseline and improved significantly (p ≤ .007) at all postsurgery time points. One case of ocular hypertension was observed and successfully managed with topical therapy. No endophthalmitis or other ocular complications were observed. Conclusion Intravitreal slow-release dexamethasone implant combined with cataract surgery may be an effective approach on morphologic and functional outcomes for patients with cataract and diabetic macular edema for at least three months after surgery.

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Section: Methodsmentioning

confidence: 99%

Combined Phacoemulsification and Intravitreal Dexamethasone Implant (Ozurdex®) in Diabetic Patients with Coexisting Cataract and Diabetic Macular Edema

Furino

Boscia

Niro

et al. 2017

Journal of Ophthalmology

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“…Along with the improving OCT technology, subsequent authors proposed more and more complex DME classification systems [ 30 – 33 ]. The classification proposed by Koleva-Georgieva appears to be particularly interesting [ 34 ]. It is based on authors' own experience and previously published data.…”

Section: Oct Classification Of Dmementioning

confidence: 99%

The Diagnostic Function of OCT in Diabetic Maculopathy

Sikorski

Malukiewicz

Stafiej

et al. 2013

Mediators of Inflammation

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Diabetic maculopathy (DM) is one of the major causes of vision impairment in individuals with diabetes. The traditional approach to diagnosis of DM includes fundus ophthalmoscopy and fluorescein angiography. Although very useful clinically, these methods do not contribute much to the evaluation of retinal morphology and its thickness profile. That is why a new technique called optical coherence tomography (OCT) was utilized to perform cross-sectional imaging of the retina. It facilitates measuring the macular thickening, quantification of diabetic macular oedema, and detecting vitreoretinal traction. Thus, OCT may assist in patient selection with DM who can benefit from treatment, identify what treatment is indicated, guide its implementing, and allow precise monitoring of treatment response. It seems to be the technique of choice for the early detection of macular oedema and for the followup of DM.

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“…OCT imaging has been widely adapted by clinicians for screening retinal subjects and many times they have highlighted the significance of OCT imaging for evaluating the human retina. Clinically, OCT imagery acts as an initial examination procedure for screening diabetic macular edema (DME) subjects [8] or for the DME severity analysis [9] as it presents the early and objective visualization of DME pathology [10][11][12][13][14][15][16]. In addition to this, researchers have differentiated pseudophakic cystoid macular edema (P-CME) and DME cases solely based on OCT imagery [17].…”

Section: A Clinical Evaluationsmentioning

confidence: 99%

RAG-FW: A hybrid convolutional framework for the automated extraction of retinal lesions and lesion-influenced grading of human retinal pathology

Hassan¹,

Akram²,

Werghi³

et al. 2020

Preprint

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[Submitted in IEEE J-BHI]<br><br>Retinopathy refers to any damage in the retina that causes visual impairments or even blindness. Identification of retinal lesions plays a vital role in accurately grading retinopathy and for its effective treatment. Optical coherence tomography (OCT) imaging is the most popular non-invasive technique used for the retinal examination due to its ability to screen abnormalities in early stages. Many researchers have presented studies on OCT based retinal image analysis over the past. However, to our best knowledge, there is no framework yet available which can extract retinal lesions from multi-vendor OCT scans and utilize them for the intuitive grading of the human retina. To cater this lack, we propose a deep retinal analysis and grading framework (RAG-FW). RAG-FW is a hybrid convolutional framework which extracts retinal lesions such as intra-retinal fluid, sub-retinal fluid, hard exudates, drusen and chorioretinal abnormalities (including fibrotic scars and choroidal neovascular membranes) from multi-vendor OCT scans. Furthermore, it utilizes them for the lesion-influenced grading of retinopathy as per the clinical standards. RAG-FW has been trained using 113,261 retinal OCT scans from which 112,261 scans were used for training and 1,000 scans were used for the validation purposes. Furthermore, it has been rigorously tested on 43,613 scans from five highly complex publicly available datasets where it achieved the mean intersection-over-union score of 0.8055 for extracting the retinal lesions and the F<sub>1</sub> score of 99.52% for correctly classifying the retinopathy cases. The source code of RAG-FW is available at http://biomisa.org/index.php/downloads/.

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Optical Coherence Tomography Findings in Diabetic Macular Edema

Cited by 13 publications

References 72 publications

Combined Phacoemulsification and Intravitreal Dexamethasone Implant (Ozurdex®) in Diabetic Patients with Coexisting Cataract and Diabetic Macular Edema

Combined Phacoemulsification and Intravitreal Dexamethasone Implant (Ozurdex®) in Diabetic Patients with Coexisting Cataract and Diabetic Macular Edema

The Diagnostic Function of OCT in Diabetic Maculopathy

RAG-FW: A hybrid convolutional framework for the automated extraction of retinal lesions and lesion-influenced grading of human retinal pathology

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